def get_params(candidate,
fingerprint=gen_empty_fingerprint(),
has_relay=False,
car_fw=[]): # pylint: disable=dangerous-default-value
ret = CarInterfaceBase.get_std_params(candidate, fingerprint,
has_relay)
ret.carName = "toyota"
ret.safetyModel = car.CarParams.SafetyModel.toyota
ret.steerActuatorDelay = 0.12 # Default delay, Prius has larger delay
ret.steerLimitTimer = 0.4
if ret.enableGasInterceptor:
ret.gasMaxBP = [0., 9., 55]
ret.gasMaxV = [0.2, 0.5, 0.7]
# ret.longitudinalTuning.kpV = [0.5, 0.4, 0.3] # braking tune, todo: test me vs. stock below
# ret.longitudinalTuning.kiV = [0.135, 0.1]
ret.longitudinalTuning.kpV = [1.2, 0.8, 0.5]
ret.longitudinalTuning.kiV = [0.18, 0.12]
else:
ret.gasMaxBP = [0., 9., 55]
ret.gasMaxV = [0.2, 0.5, 0.7]
ret.longitudinalTuning.kpV = [0.4, 0.36,
0.325] # braking tune from rav4h
ret.longitudinalTuning.kiV = [0.195, 0.10]
if candidate not in [
CAR.PRIUS_2019, CAR.PRIUS, CAR.RAV4, CAR.RAV4H, CAR.COROLLA
]: # These cars use LQR/INDI
ret.lateralTuning.init('pid')
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP, ret.lateralTuning.pid.kfBP = [
[0.], [0.], [0.]
]
if candidate in [CAR.PRIUS, CAR.PRIUS_2019]:
stop_and_go = True
ret.safetyParam = 66 # see conversion factor for STEER_TORQUE_EPS in dbc file
ret.wheelbase = 2.70
ret.steerRatio = 15.74 # unknown end-to-end spec
tire_stiffness_factor = 0.6371 # hand-tune
ret.mass = 3045. * CV.LB_TO_KG + STD_CARGO_KG
ret.lateralTuning.init('indi')
ret.lateralTuning.indi.innerLoopGain = 4.0
ret.lateralTuning.indi.outerLoopGain = 3.0
ret.lateralTuning.indi.timeConstant = 1.0
ret.lateralTuning.indi.actuatorEffectiveness = 1.0
ret.steerActuatorDelay = 0.5
elif candidate in [CAR.RAV4H]:
stop_and_go = True if (candidate in CAR.RAV4H) else False
ret.safetyParam = 73
ret.wheelbase = 2.65
ret.steerRatio = 16.88 # 14.5 is spec end-to-end
tire_stiffness_factor = 0.5533
ret.mass = 3650. * CV.LB_TO_KG + STD_CARGO_KG # mean between normal and hybrid
ret.lateralTuning.init('lqr')
ret.lateralTuning.lqr.scale = 1500.0
ret.lateralTuning.lqr.ki = 0.06
ret.lateralTuning.lqr.a = [0., 1., -0.22619643, 1.21822268]
ret.lateralTuning.lqr.b = [-1.92006585e-04, 3.95603032e-05]
ret.lateralTuning.lqr.c = [1., 0.]
ret.lateralTuning.lqr.k = [-110.73572306, 451.22718255]
ret.lateralTuning.lqr.l = [0.3233671, 0.3185757]
ret.lateralTuning.lqr.dcGain = 0.002237852961363602
elif candidate in [CAR.RAV4]:
stop_and_go = True if (candidate in CAR.RAV4H) else False
ret.safetyParam = 73
ret.wheelbase = 2.65
ret.steerRatio = 16.88 # 14.5 is spec end-to-end
tire_stiffness_factor = 0.5533
ret.mass = 3650. * CV.LB_TO_KG + STD_CARGO_KG # mean between normal and hybrid
ret.lateralTuning.init('lqr')
ret.lateralTuning.lqr.scale = 1500.0
ret.lateralTuning.lqr.ki = 0.06
ret.longitudinalTuning.kpV = [0.8, 1.0, 0.325] # braking tune
ret.longitudinalTuning.kiV = [0.35, 0.1]
ret.lateralTuning.lqr.a = [0., 1., -0.22619643, 1.21822268]
ret.lateralTuning.lqr.b = [-1.92006585e-04, 3.95603032e-05]
ret.lateralTuning.lqr.c = [1., 0.]
ret.lateralTuning.lqr.k = [-110.73572306, 451.22718255]
ret.lateralTuning.lqr.l = [0.3233671, 0.3185757]
ret.lateralTuning.lqr.dcGain = 0.002237852961363602
elif candidate in [CAR.COROLLA, CAR.COROLLA_2015]:
stop_and_go = False
ret.safetyParam = 100
ret.wheelbase = 2.70
ret.steerRatio = 18.27
tire_stiffness_factor = 0.444 # not optimized yet
ret.mass = 2860. * CV.LB_TO_KG + STD_CARGO_KG # mean between normal and hybrid
ret.lateralTuning.init('lqr')
ret.lateralTuning.lqr.scale = 1500.0
ret.lateralTuning.lqr.ki = 0.06
ret.lateralTuning.lqr.a = [0., 1., -0.22619643, 1.21822268]
ret.lateralTuning.lqr.b = [-1.92006585e-04, 3.95603032e-05]
ret.lateralTuning.lqr.c = [1., 0.]
ret.lateralTuning.lqr.k = [-110.73572306, 451.22718255]
ret.lateralTuning.lqr.l = [0.3233671, 0.3185757]
ret.lateralTuning.lqr.dcGain = 0.002237852961363602
elif candidate == CAR.LEXUS_RX:
stop_and_go = True
ret.safetyParam = 73
ret.wheelbase = 2.79
ret.steerRatio = 14.8
tire_stiffness_factor = 0.5533
ret.mass = 4387. * CV.LB_TO_KG + STD_CARGO_KG
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.6],
[0.05]]
ret.lateralTuning.pid.kfV = [0.00006]
elif candidate == CAR.LEXUS_RXH:
stop_and_go = True
ret.safetyParam = 73
ret.wheelbase = 2.79
ret.steerRatio = 16. # 14.8 is spec end-to-end
tire_stiffness_factor = 0.444 # not optimized yet
ret.mass = 4481. * CV.LB_TO_KG + STD_CARGO_KG # mean between min and max
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.6],
[0.1]]
ret.lateralTuning.pid.kfV = [
0.00006
] # full torque for 10 deg at 80mph means 0.00007818594
elif candidate == CAR.LEXUS_RX_TSS2:
stop_and_go = True
ret.safetyParam = 73
ret.wheelbase = 2.79
ret.steerRatio = 14.8
tire_stiffness_factor = 0.5533 # not optimized yet
ret.mass = 4387. * CV.LB_TO_KG + STD_CARGO_KG
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.6],
[0.1]]
ret.lateralTuning.pid.kfV = [0.00007818594]
elif candidate == CAR.LEXUS_RXH_TSS2:
stop_and_go = True
ret.safetyParam = 73
ret.wheelbase = 2.79
ret.steerRatio = 16.0 # 14.8 is spec end-to-end
tire_stiffness_factor = 0.444 # not optimized yet
ret.mass = 4481.0 * CV.LB_TO_KG + STD_CARGO_KG # mean between min and max
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.6],
[0.15]]
ret.lateralTuning.pid.kfV = [0.00007818594]
elif candidate in [CAR.CHR, CAR.CHRH]:
stop_and_go = True
ret.safetyParam = 73
ret.wheelbase = 2.63906
ret.steerRatio = 13.6
tire_stiffness_factor = 0.7933
ret.mass = 3300. * CV.LB_TO_KG + STD_CARGO_KG
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.723],
[0.0428]]
ret.lateralTuning.pid.kfV = [0.00006]
elif candidate in [CAR.CAMRY, CAR.CAMRYH]:
stop_and_go = True
ret.safetyParam = 73
ret.wheelbase = 2.82448
ret.steerRatio = 13.7
tire_stiffness_factor = 0.7933
ret.mass = 3400. * CV.LB_TO_KG + STD_CARGO_KG # mean between normal and hybrid
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.6],
[0.1]]
ret.lateralTuning.pid.kfV = [0.00006]
elif candidate in [CAR.HIGHLANDER_TSS2, CAR.HIGHLANDERH_TSS2]:
stop_and_go = True
ret.safetyParam = 73
ret.wheelbase = 2.84988 # 112.2 in = 2.84988 m
ret.steerRatio = 16.0
tire_stiffness_factor = 0.8
ret.mass = 4700. * CV.LB_TO_KG + STD_CARGO_KG # 4260 + 4-5 people
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[
0.18
], [0.015]] # community tuning
ret.lateralTuning.pid.kfV = [0.00012] # community tuning
elif candidate in [CAR.HIGHLANDER, CAR.HIGHLANDERH]:
stop_and_go = True
ret.safetyParam = 73
ret.wheelbase = 2.78
ret.steerRatio = 16.0
tire_stiffness_factor = 0.8
ret.mass = 4607. * CV.LB_TO_KG + STD_CARGO_KG # mean between normal and hybrid limited
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[
0.18
], [0.015]] # community tuning
ret.lateralTuning.pid.kfV = [0.00012] # community tuning
elif candidate == CAR.AVALON:
stop_and_go = False
ret.safetyParam = 73
ret.wheelbase = 2.82
ret.steerRatio = 14.8 # Found at https://pressroom.toyota.com/releases/2016+avalon+product+specs.download
tire_stiffness_factor = 0.7983
ret.mass = 3505. * CV.LB_TO_KG + STD_CARGO_KG # mean between normal and hybrid
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.17],
[0.03]]
ret.lateralTuning.pid.kfV = [0.00006]
elif candidate == CAR.RAV4_TSS2:
stop_and_go = True
ret.safetyParam = 73
ret.wheelbase = 2.68986
ret.steerRatio = 14.3
tire_stiffness_factor = 0.7933
ret.longitudinalTuning.kpV = [2.65, 1.5, 0.34]
ret.longitudinalTuning.kiV = [0.54, 0.34]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.13],
[0.05]]
ret.mass = 3370. * CV.LB_TO_KG + STD_CARGO_KG
ret.lateralTuning.pid.kfV = [0.00007818594]
for fw in car_fw:
if fw.ecu == "eps" and fw.fwVersion == b"8965B42170\x00\x00\x00\x00\x00\x00":
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[
0.6
], [0.1]]
ret.lateralTuning.pid.kfV = [0.00007818594]
break
elif candidate == CAR.RAV4H_TSS2:
stop_and_go = True
ret.safetyParam = 73
ret.wheelbase = 2.68986
ret.steerRatio = 14.3
tire_stiffness_factor = 0.7933
ret.longitudinalTuning.kpV = [0.2, 0.25, 0.325]
ret.longitudinalTuning.kiV = [0.10, 0.10]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.12],
[0.04]]
ret.mass = 3800. * CV.LB_TO_KG + STD_CARGO_KG
ret.lateralTuning.pid.kfV = [0.00004]
for fw in car_fw:
if fw.ecu == "eps" and fw.fwVersion == b"8965B42170\x00\x00\x00\x00\x00\x00":
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[
0.6
], [0.1]]
ret.lateralTuning.pid.kfV = [0.00007818594]
break
elif candidate in [CAR.COROLLA_TSS2, CAR.COROLLAH_TSS2]:
stop_and_go = True
ret.safetyParam = 73
ret.wheelbase = 2.63906
ret.steerRatio = 13.9
tire_stiffness_factor = 0.444 # not optimized yet
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.5],
[0.1]]
ret.mass = 3060. * CV.LB_TO_KG + STD_CARGO_KG
ret.lateralTuning.pid.kfV = [0.00007818594]
if spairrowtuning:
ret.steerActuatorDelay = 0.60
ret.steerRatio = 15.33
ret.steerLimitTimer = 5.0
tire_stiffness_factor = 0.996 # not optimized yet
#ret.lateralTuning.pid.kpBP, ret.lateralTuning.pid.kpV = [[0.0, 15.5, 21.0, 29.0], [0.13, 0.39, 0.39, 0.6]]
#ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kiV = [[0.0, 15.5, 21.0, 29.0], [0.005, 0.015, 0.015, 0.1]]
#ret.lateralTuning.pid.kfBP, ret.lateralTuning.pid.kfV = [[0.0, 15.5, 21.0, 29.0], [0.00009, 0.00015, 0.00015, 0.00007818594]]
ret.lateralTuning.init('indi')
ret.lateralTuning.indi.innerLoopGain = 6
ret.lateralTuning.indi.outerLoopGain = 15.0
ret.lateralTuning.indi.timeConstant = 5.5
ret.lateralTuning.indi.actuatorEffectiveness = 6.0
elif candidate in [CAR.LEXUS_ES_TSS2, CAR.LEXUS_ESH_TSS2]:
stop_and_go = True
ret.safetyParam = 73
ret.wheelbase = 2.8702
ret.steerRatio = 16.0 # not optimized
tire_stiffness_factor = 0.444 # not optimized yet
ret.mass = 3704. * CV.LB_TO_KG + STD_CARGO_KG
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.6],
[0.1]]
ret.lateralTuning.pid.kfV = [0.00007818594]
elif candidate == CAR.SIENNA:
stop_and_go = True
ret.safetyParam = 73
ret.wheelbase = 3.03
ret.steerRatio = 15.5
tire_stiffness_factor = 0.444
ret.mass = 4590. * CV.LB_TO_KG + STD_CARGO_KG
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.19],
[0.02]]
ret.lateralTuning.pid.kfV = [0.00007818594]
elif candidate in [CAR.LEXUS_IS, CAR.LEXUS_ISH, CAR.LEXUS_RX]:
stop_and_go = False
ret.safetyParam = 77
ret.wheelbase = 2.79908
ret.steerRatio = 13.3
tire_stiffness_factor = 0.444
ret.mass = 3736.8 * CV.LB_TO_KG + STD_CARGO_KG
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.3],
[0.05]]
ret.lateralTuning.pid.kfV = [0.00006]
elif candidate == CAR.LEXUS_CTH:
stop_and_go = True
ret.safetyParam = 100
ret.wheelbase = 2.60
ret.steerRatio = 18.6
tire_stiffness_factor = 0.517
ret.mass = 3108 * CV.LB_TO_KG + STD_CARGO_KG # mean between min and max
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.3],
[0.05]]
ret.lateralTuning.pid.kfV = [0.00007]
elif candidate == CAR.LEXUS_NXH:
stop_and_go = True
ret.safetyParam = 73
ret.wheelbase = 2.66
ret.steerRatio = 14.7
tire_stiffness_factor = 0.444 # not optimized yet
ret.mass = 4070 * CV.LB_TO_KG + STD_CARGO_KG
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.6],
[0.1]]
ret.lateralTuning.pid.kfV = [0.00006]
elif candidate == CAR.LEXUS_NXH:
stop_and_go = True
ret.safetyParam = 73
ret.wheelbase = 2.66
ret.steerRatio = 14.7
tire_stiffness_factor = 0.444 # not optimized yet
ret.mass = 4070 * CV.LB_TO_KG + STD_CARGO_KG
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.6],
[0.1]]
ret.lateralTuning.pid.kfV = [0.00006]
elif candidate == CAR.LEXUS_UXH_TSS2:
stop_and_go = True
ret.safetyParam = 73
ret.wheelbase = 2.640
ret.steerRatio = 16.0 # not optimized
tire_stiffness_factor = 0.444 # not optimized yet
ret.mass = 3500. * CV.LB_TO_KG + STD_CARGO_KG
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.6],
[0.1]]
ret.lateralTuning.pid.kfV = [0.00007]
ret.steerRateCost = 1.
ret.centerToFront = ret.wheelbase * 0.44
# TODO: get actual value, for now starting with reasonable value for
# civic and scaling by mass and wheelbase
ret.rotationalInertia = scale_rot_inertia(ret.mass, ret.wheelbase)
# TODO: start from empirically derived lateral slip stiffness for the civic and scale by
# mass and CG position, so all cars will have approximately similar dyn behaviors
ret.tireStiffnessFront, ret.tireStiffnessRear = scale_tire_stiffness(
ret.mass,
ret.wheelbase,
ret.centerToFront,
tire_stiffness_factor=tire_stiffness_factor)
if candidate == CAR.COROLLA_2015:
ret.enableCamera = True
else:
ret.enableCamera = is_ecu_disconnected(
fingerprint[0], FINGERPRINTS, ECU_FINGERPRINT, candidate,
Ecu.fwdCamera) or has_relay
# Detect smartDSU, which intercepts ACC_CMD from the DSU allowing openpilot to send it
smartDsu = 0x2FF in fingerprint[0]
# In TSS2 cars the camera does long control
ret.enableDsu = is_ecu_disconnected(
fingerprint[0], FINGERPRINTS, ECU_FINGERPRINT, candidate,
Ecu.dsu) and candidate not in TSS2_CAR
ret.enableGasInterceptor = 0x201 in fingerprint[0]
# if the smartDSU is detected, openpilot can send ACC_CMD (and the smartDSU will block it from the DSU) or not (the DSU is "connected")
ret.openpilotLongitudinalControl = ret.enableCamera and (
smartDsu or ret.enableDsu or candidate in TSS2_CAR)
cloudlog.warning("ECU Camera Simulated: %r", ret.enableCamera)
cloudlog.warning("ECU DSU Simulated: %r", ret.enableDsu)
cloudlog.warning("ECU Gas Interceptor: %r", ret.enableGasInterceptor)
# min speed to enable ACC. if car can do stop and go, then set enabling speed
# to a negative value, so it won't matter.
ret.minEnableSpeed = -1. if (
stop_and_go or ret.enableGasInterceptor) else 19. * CV.MPH_TO_MS
# removing the DSU disables AEB and it's considered a community maintained feature
# intercepting the DSU is a community feature since it requires unofficial hardware
ret.communityFeature = ret.enableGasInterceptor or ret.enableDsu or smartDsu
ret.longitudinalTuning.deadzoneBP = [0., 9.]
ret.longitudinalTuning.deadzoneV = [0., .15]
ret.longitudinalTuning.kpBP = [0., 5., 55.]
ret.longitudinalTuning.kiBP = [0., 55.]
return ret
def get_params(candidate,
fingerprint=gen_empty_fingerprint(),
has_relay=False,
car_fw=[]): # pylint: disable=dangerous-default-value
ret = CarInterfaceBase.get_std_params(candidate, fingerprint,
has_relay)
ret.carName = "hyundai"
ret.safetyModel = car.CarParams.SafetyModel.hyundai
ret.radarOffCan = True
# Most Hyundai car ports are community features for now
ret.communityFeature = candidate not in [CAR.SONATA, CAR.PALISADE]
ret.steerActuatorDelay = 0.1 # Default delay
ret.steerRateCost = 0.5
ret.steerLimitTimer = 0.4
tire_stiffness_factor = 1.
ret.maxSteerAngle = 90.
eps_modified = False
for fw in car_fw:
if fw.ecu == "eps" and b"," in fw.fwVersion:
eps_modified = True
if candidate == CAR.SANTA_FE:
ret.lateralTuning.pid.kf = 0.00005
ret.mass = 3982. * CV.LB_TO_KG + STD_CARGO_KG
ret.wheelbase = 2.766
# Values from optimizer
ret.steerRatio = 16.55 # 13.8 is spec end-to-end
tire_stiffness_factor = 0.82
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[
9., 22.
], [9., 22.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[
0.2, 0.35
], [0.05, 0.09]]
elif candidate == CAR.SONATA:
ret.lateralTuning.pid.kf = 0.00005
ret.mass = 1513. + STD_CARGO_KG
ret.wheelbase = 2.84
ret.steerRatio = 13.27 * 1.15 # 15% higher at the center seems reasonable
tire_stiffness_factor = 0.65
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.25],
[0.05]]
elif candidate == CAR.SONATA_2019:
ret.lateralTuning.pid.kf = 0.00005
ret.mass = 4497. * CV.LB_TO_KG
ret.wheelbase = 2.804
ret.steerRatio = 13.27 * 1.15 # 15% higher at the center seems reasonable
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.25],
[0.05]]
elif candidate == CAR.PALISADE:
ret.lateralTuning.pid.kf = 0.00005
ret.mass = 1999. + STD_CARGO_KG
ret.wheelbase = 2.90
ret.steerRatio = 13.75 * 1.15
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.3],
[0.05]]
if eps_modified:
ret.maxSteerAngle = 1000.
elif candidate in [CAR.ELANTRA, CAR.ELANTRA_GT_I30]:
ret.lateralTuning.pid.kf = 0.00006
ret.mass = 1275. + STD_CARGO_KG
ret.wheelbase = 2.7
ret.steerRatio = 15.4 # 14 is Stock | Settled Params Learner values are steerRatio: 15.401566348670535
tire_stiffness_factor = 0.385 # stiffnessFactor settled on 1.0081302973865127
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.25],
[0.05]]
ret.minSteerSpeed = 32 * CV.MPH_TO_MS
elif candidate == CAR.HYUNDAI_GENESIS:
ret.lateralTuning.pid.kf = 0.00005
ret.mass = 2060. + STD_CARGO_KG
ret.wheelbase = 3.01
ret.steerRatio = 16.5
ret.lateralTuning.init('indi')
ret.lateralTuning.indi.innerLoopGainBP = [0.]
ret.lateralTuning.indi.innerLoopGainV = [3.5]
ret.lateralTuning.indi.outerLoopGainBP = [0.]
ret.lateralTuning.indi.outerLoopGainV = [2.0]
ret.lateralTuning.indi.timeConstantBP = [0.]
ret.lateralTuning.indi.timeConstantV = [1.4]
ret.lateralTuning.indi.actuatorEffectivenessBP = [0.]
ret.lateralTuning.indi.actuatorEffectivenessV = [2.3]
ret.minSteerSpeed = 60 * CV.KPH_TO_MS
elif candidate == CAR.KONA:
ret.lateralTuning.pid.kf = 0.00005
ret.mass = 1275. + STD_CARGO_KG
ret.wheelbase = 2.7
ret.steerRatio = 13.73 * 1.15 # Spec
tire_stiffness_factor = 0.385
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.25],
[0.05]]
elif candidate == CAR.KONA_EV:
ret.lateralTuning.pid.kf = 0.00006
ret.mass = 1685. + STD_CARGO_KG
ret.wheelbase = 2.7
ret.steerRatio = 13.73 # Spec
tire_stiffness_factor = 0.385
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.25],
[0.05]]
elif candidate in [CAR.IONIQ, CAR.IONIQ_EV_LTD, CAR.IONIQ_EV_2020]:
ret.lateralTuning.pid.kf = 0.00006
ret.mass = 1490. + STD_CARGO_KG # weight per hyundai site https://www.hyundaiusa.com/ioniq-electric/specifications.aspx
ret.wheelbase = 2.7
ret.steerRatio = 13.73 # Spec
tire_stiffness_factor = 0.385
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.25],
[0.05]]
if candidate != CAR.IONIQ_EV_2020:
ret.minSteerSpeed = 32 * CV.MPH_TO_MS
elif candidate == CAR.VELOSTER:
ret.lateralTuning.pid.kf = 0.00005
ret.mass = 3558. * CV.LB_TO_KG
ret.wheelbase = 2.80
ret.steerRatio = 13.75 * 1.15
tire_stiffness_factor = 0.5
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.25],
[0.05]]
# Kia
elif candidate == CAR.KIA_SORENTO:
ret.lateralTuning.pid.kf = 0.00005
ret.mass = 1985. + STD_CARGO_KG
ret.wheelbase = 2.78
ret.steerRatio = 14.4 * 1.1 # 10% higher at the center seems reasonable
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.25],
[0.05]]
elif candidate == CAR.KIA_NIRO_EV:
ret.lateralTuning.pid.kf = 0.00006
ret.mass = 1737. + STD_CARGO_KG
ret.wheelbase = 2.7
ret.steerRatio = 13.73 # Spec
tire_stiffness_factor = 0.385
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.25],
[0.05]]
elif candidate in [CAR.KIA_OPTIMA, CAR.KIA_OPTIMA_H]:
ret.lateralTuning.pid.kf = 0.00005
ret.mass = 3558. * CV.LB_TO_KG
ret.wheelbase = 2.80
ret.steerRatio = 13.75
tire_stiffness_factor = 0.5
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.25],
[0.05]]
elif candidate == CAR.KIA_STINGER:
ret.lateralTuning.pid.kf = 0.00005
ret.mass = 1825. + STD_CARGO_KG
ret.wheelbase = 2.78
ret.steerRatio = 14.4 * 1.15 # 15% higher at the center seems reasonable
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.25],
[0.05]]
elif candidate == CAR.KIA_FORTE:
ret.lateralTuning.pid.kf = 0.00005
ret.mass = 3558. * CV.LB_TO_KG
ret.wheelbase = 2.80
ret.steerRatio = 13.75
tire_stiffness_factor = 0.5
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.25],
[0.05]]
# Genesis
elif candidate == CAR.GENESIS_G70:
ret.lateralTuning.init('indi')
ret.lateralTuning.indi.innerLoopGainBP = [0.]
ret.lateralTuning.indi.innerLoopGainV = [2.5]
ret.lateralTuning.indi.outerLoopGainBP = [0.]
ret.lateralTuning.indi.outerLoopGainV = [3.5]
ret.lateralTuning.indi.timeConstantBP = [0.]
ret.lateralTuning.indi.timeConstantV = [1.4]
ret.lateralTuning.indi.actuatorEffectivenessBP = [0.]
ret.lateralTuning.indi.actuatorEffectivenessV = [1.8]
ret.steerActuatorDelay = 0.1
ret.mass = 1640.0 + STD_CARGO_KG
ret.wheelbase = 2.84
ret.steerRatio = 13.56
elif candidate == CAR.GENESIS_G80:
ret.lateralTuning.pid.kf = 0.00005
ret.mass = 2060. + STD_CARGO_KG
ret.wheelbase = 3.01
ret.steerRatio = 16.5
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.16],
[0.01]]
elif candidate == CAR.GENESIS_G90:
ret.mass = 2200
ret.wheelbase = 3.15
ret.steerRatio = 12.069
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.16],
[0.01]]
# these cars require a special panda safety mode due to missing counters and checksums in the messages
if candidate in [
CAR.HYUNDAI_GENESIS, CAR.IONIQ_EV_2020, CAR.IONIQ_EV_LTD,
CAR.IONIQ, CAR.KONA_EV, CAR.KIA_SORENTO, CAR.SONATA_2019,
CAR.KIA_NIRO_EV, CAR.KIA_OPTIMA, CAR.VELOSTER, CAR.KIA_STINGER,
CAR.GENESIS_G70, CAR.GENESIS_G80
]:
ret.safetyModel = car.CarParams.SafetyModel.hyundaiLegacy
ret.centerToFront = ret.wheelbase * 0.4
# TODO: get actual value, for now starting with reasonable value for
# civic and scaling by mass and wheelbase
ret.rotationalInertia = scale_rot_inertia(ret.mass, ret.wheelbase)
# TODO: start from empirically derived lateral slip stiffness for the civic and scale by
# mass and CG position, so all cars will have approximately similar dyn behaviors
ret.tireStiffnessFront, ret.tireStiffnessRear = scale_tire_stiffness(
ret.mass,
ret.wheelbase,
ret.centerToFront,
tire_stiffness_factor=tire_stiffness_factor)
ret.enableCamera = is_ecu_disconnected(fingerprint[0], FINGERPRINTS,
ECU_FINGERPRINT, candidate,
Ecu.fwdCamera) or has_relay
return ret
def get_params(candidate,
fingerprint=gen_empty_fingerprint(),
car_fw=None,
disable_radar=False):
ret = CarInterfaceBase.get_std_params(candidate, fingerprint)
ret.carName = "subaru"
ret.radarOffCan = True
if candidate in PREGLOBAL_CARS:
ret.safetyConfigs = [
get_safety_config(car.CarParams.SafetyModel.subaruLegacy)
]
ret.enableBsm = 0x25c in fingerprint[0]
else:
ret.safetyConfigs = [
get_safety_config(car.CarParams.SafetyModel.subaru)
]
ret.enableBsm = 0x228 in fingerprint[0]
ret.dashcamOnly = candidate in PREGLOBAL_CARS
ret.steerLimitTimer = 0.4
if candidate == CAR.ASCENT:
ret.mass = 2031. + STD_CARGO_KG
ret.wheelbase = 2.89
ret.centerToFront = ret.wheelbase * 0.5
ret.steerRatio = 13.5
ret.steerActuatorDelay = 0.3 # end-to-end angle controller
ret.lateralTuning.pid.kf = 0.00003
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[
0., 20.
], [0., 20.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[
0.0025, 0.1
], [0.00025, 0.01]]
if candidate == CAR.IMPREZA:
ret.mass = 1568. + STD_CARGO_KG
ret.wheelbase = 2.67
ret.centerToFront = ret.wheelbase * 0.5
ret.steerRatio = 15
ret.steerActuatorDelay = 0.4 # end-to-end angle controller
ret.lateralTuning.pid.kf = 0.00005
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[
0., 20.
], [0., 20.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.2, 0.3],
[
0.02,
0.03
]]
if candidate == CAR.IMPREZA_2020:
ret.mass = 1480. + STD_CARGO_KG
ret.wheelbase = 2.67
ret.centerToFront = ret.wheelbase * 0.5
ret.steerRatio = 17 # learned, 14 stock
ret.steerActuatorDelay = 0.1
ret.lateralTuning.pid.kf = 0.00005
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[
0., 14., 23.
], [0., 14., 23.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[
0.045, 0.042, 0.20
], [0.04, 0.035, 0.045]]
if candidate == CAR.FORESTER:
ret.mass = 1568. + STD_CARGO_KG
ret.wheelbase = 2.67
ret.centerToFront = ret.wheelbase * 0.5
ret.steerRatio = 17 # learned, 14 stock
ret.steerActuatorDelay = 0.1
ret.lateralTuning.pid.kf = 0.000038
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[
0., 14., 23.
], [0., 14., 23.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[
0.01, 0.065, 0.2
], [0.001, 0.015, 0.025]]
if candidate in (CAR.FORESTER_PREGLOBAL, CAR.OUTBACK_PREGLOBAL_2018):
ret.safetyConfigs[
0].safetyParam = 1 # Outback 2018-2019 and Forester have reversed driver torque signal
ret.mass = 1568 + STD_CARGO_KG
ret.wheelbase = 2.67
ret.centerToFront = ret.wheelbase * 0.5
ret.steerRatio = 20 # learned, 14 stock
ret.steerActuatorDelay = 0.1
ret.lateralTuning.pid.kf = 0.000039
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[
0., 10., 20.
], [0., 10., 20.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[
0.01, 0.05, 0.2
], [0.003, 0.018, 0.025]]
if candidate == CAR.LEGACY_PREGLOBAL:
ret.mass = 1568 + STD_CARGO_KG
ret.wheelbase = 2.67
ret.centerToFront = ret.wheelbase * 0.5
ret.steerRatio = 12.5 # 14.5 stock
ret.steerActuatorDelay = 0.15
ret.lateralTuning.pid.kf = 0.00005
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[
0., 20.
], [0., 20.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.1, 0.2],
[
0.01,
0.02
]]
if candidate == CAR.OUTBACK_PREGLOBAL:
ret.mass = 1568 + STD_CARGO_KG
ret.wheelbase = 2.67
ret.centerToFront = ret.wheelbase * 0.5
ret.steerRatio = 20 # learned, 14 stock
ret.steerActuatorDelay = 0.1
ret.lateralTuning.pid.kf = 0.000039
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[
0., 10., 20.
], [0., 10., 20.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[
0.01, 0.05, 0.2
], [0.003, 0.018, 0.025]]
# TODO: get actual value, for now starting with reasonable value for
# civic and scaling by mass and wheelbase
ret.rotationalInertia = scale_rot_inertia(ret.mass, ret.wheelbase)
# TODO: start from empirically derived lateral slip stiffness for the civic and scale by
# mass and CG position, so all cars will have approximately similar dyn behaviors
ret.tireStiffnessFront, ret.tireStiffnessRear = scale_tire_stiffness(
ret.mass, ret.wheelbase, ret.centerToFront)
return ret
def get_params(candidate,
fingerprint=gen_empty_fingerprint(),
has_relay=False,
car_fw=[]): # pylint: disable=dangerous-default-value
ret = CarInterfaceBase.get_std_params(candidate, fingerprint,
has_relay)
ret.carName = "hyundai"
ret.safetyModel = car.CarParams.SafetyModel.hyundaiLegacy
if candidate in [CAR.SONATA]:
ret.safetyModel = car.CarParams.SafetyModel.hyundai
# Most Hyundai car ports are community features for now
ret.communityFeature = candidate not in [CAR.SONATA, CAR.PALISADE]
ret.steerActuatorDelay = 0.15 # Default delay 테네시수정
ret.steerRateCost = 0.5
ret.steerLimitTimer = 0.8
tire_stiffness_factor = 1.
# genesis
if candidate == CAR.GENESIS:
ret.lateralTuning.init('lqr')
ret.mass = 2060. + STD_CARGO_KG
ret.wheelbase = 3.01
ret.steerRatio = 14.825
ret.steerActuatorDelay = 0.15
ret.steerLimitTimer = 1.3
ret.steerRateCost = 0.45
ret.lateralTuning.lqr.scale = 1800.0
ret.lateralTuning.lqr.ki = 0.01
ret.lateralTuning.lqr.dcGain = 0.002825
elif candidate == CAR.GENESIS_G70:
ret.mass = 1640. + STD_CARGO_KG
ret.wheelbase = 2.84
elif candidate == CAR.GENESIS_G80:
ret.mass = 1855. + STD_CARGO_KG
ret.wheelbase = 3.01
elif candidate == CAR.GENESIS_G90:
ret.mass = 2200
ret.wheelbase = 3.15
elif candidate == CAR.GENESIS_G90_L:
ret.mass = 2290
ret.wheelbase = 3.45
# hyundai
elif candidate in [CAR.SANTA_FE]:
ret.mass = 1694 + STD_CARGO_KG
ret.wheelbase = 2.766
elif candidate in [CAR.SONATA, CAR.SONATA_HEV]:
ret.mass = 1513. + STD_CARGO_KG
ret.wheelbase = 2.84
tire_stiffness_factor = 0.65
elif candidate in [CAR.SONATA19, CAR.SONATA19_HEV]:
ret.mass = 4497. * CV.LB_TO_KG
ret.wheelbase = 2.804
elif candidate == CAR.SONATA_LF_TURBO:
ret.mass = 1590. + STD_CARGO_KG
ret.wheelbase = 2.805
tire_stiffness_factor = 0.65
elif candidate == CAR.PALISADE:
ret.mass = 1999. + STD_CARGO_KG
ret.wheelbase = 2.90
elif candidate in [CAR.ELANTRA, CAR.ELANTRA_GT_I30]:
ret.mass = 1275. + STD_CARGO_KG
ret.wheelbase = 2.7
tire_stiffness_factor = 0.385 # stiffnessFactor settled on 1.0081302973865127
elif candidate == CAR.KONA:
ret.mass = 1275. + STD_CARGO_KG
ret.wheelbase = 2.7
tire_stiffness_factor = 0.385
elif candidate in [CAR.KONA_HEV, CAR.KONA_EV]:
ret.lateralTuning.init('lqr')
ret.mass = 1685. + STD_CARGO_KG
ret.wheelbase = 2.7
ret.steerRatio = 12.2
ret.steerActuatorDelay = 0.15
ret.steerLimitTimer = 1.3
ret.steerRateCost = 0.55
ret.lateralTuning.lqr.scale = 1800.0
ret.lateralTuning.lqr.ki = 0.01
ret.lateralTuning.lqr.dcGain = 0.002825
elif candidate in [CAR.IONIQ, CAR.IONIQ_EV_LTD]:
ret.mass = 1490. + STD_CARGO_KG #weight per hyundai site https://www.hyundaiusa.com/ioniq-electric/specifications.aspx
ret.wheelbase = 2.7
tire_stiffness_factor = 0.385
elif candidate in [CAR.GRANDEUR, CAR.GRANDEUR_HEV]:
tire_stiffness_factor = 0.8
ret.mass = 1640. + STD_CARGO_KG
ret.wheelbase = 2.845
elif candidate == CAR.VELOSTER:
ret.mass = 3558. * CV.LB_TO_KG
ret.wheelbase = 2.80
tire_stiffness_factor = 0.5
elif candidate == CAR.NEXO:
ret.mass = 1885. + STD_CARGO_KG
ret.wheelbase = 2.79
# kia
elif candidate == CAR.SORENTO:
ret.mass = 1985. + STD_CARGO_KG
ret.wheelbase = 2.78
tire_stiffness_factor = 0.5
elif candidate in [CAR.K5, CAR.K5_HEV]:
ret.mass = 3558. * CV.LB_TO_KG
ret.wheelbase = 2.80
tire_stiffness_factor = 0.5
elif candidate == CAR.STINGER:
tire_stiffness_factor = 1.125 # LiveParameters (Tunder's 2020)
ret.mass = 1825.0 + STD_CARGO_KG
ret.wheelbase = 2.906 # https://www.kia.com/us/en/stinger/specs
elif candidate == CAR.FORTE:
ret.mass = 3558. * CV.LB_TO_KG
ret.wheelbase = 2.80
tire_stiffness_factor = 0.5
elif candidate == CAR.CEED:
ret.mass = 1350. + STD_CARGO_KG
ret.wheelbase = 2.65
tire_stiffness_factor = 0.5
elif candidate == CAR.SPORTAGE:
ret.mass = 1985. + STD_CARGO_KG
ret.wheelbase = 2.78
elif candidate in [CAR.NIRO_HEV, CAR.NIRO_EV]:
ret.lateralTuning.init('lqr')
ret.mass = 1685. + STD_CARGO_KG
ret.wheelbase = 2.7
ret.steerRatio = 12.2
ret.steerActuatorDelay = 0.15
ret.steerLimitTimer = 1.3
ret.steerRateCost = 0.55
ret.lateralTuning.lqr.scale = 1800.0
ret.lateralTuning.lqr.ki = 0.01
ret.lateralTuning.lqr.dcGain = 0.002825
elif candidate in [CAR.K7, CAR.K7_HEV]:
ret.lateralTuning.init('lqr')
ret.mass = 1640. + STD_CARGO_KG
ret.wheelbase = 2.845
ret.steerRatio = 12.2
ret.steerActuatorDelay = 0.15
ret.steerLimitTimer = 1.3
ret.steerRateCost = 0.55
ret.lateralTuning.lqr.scale = 1800.0
ret.lateralTuning.lqr.ki = 0.01
ret.lateralTuning.lqr.dcGain = 0.002825
# 차량별 고유의 셋팅값을 저장하기 위한 기본 조향방법 수치를 변경함..
ret.lateralTuning.lqr.a = [0., 1., -0.22619643, 1.21822268]
ret.lateralTuning.lqr.b = [-1.92006585e-04, 3.95603032e-05]
ret.lateralTuning.lqr.c = [1., 0.]
ret.lateralTuning.lqr.k = [-100., 450.]
ret.lateralTuning.lqr.l = [0.22, 0.318]
ret.steerMaxBP = [0.]
ret.steerMaxV = [1.5]
###################################################
# scc smoother
ret.longitudinalTuning.kpBP = [
0., 40. * CV.KPH_TO_MS, 130. * CV.KPH_TO_MS
]
ret.longitudinalTuning.kpV = [1.4, 1.0, 0.4]
ret.longitudinalTuning.kiBP = [0.]
ret.longitudinalTuning.kiV = [0.]
ret.longitudinalTuning.deadzoneBP = [0., 40]
ret.longitudinalTuning.deadzoneV = [0., 0.02]
ret.gasMaxBP = [0.]
ret.gasMaxV = [0.5]
ret.brakeMaxBP = [0., 20.]
ret.brakeMaxV = [1., 0.8]
###################################################
ret.radarTimeStep = 0.05
ret.centerToFront = ret.wheelbase * 0.4
# TODO: get actual value, for now starting with reasonable value for
# civic and scaling by mass and wheelbase
ret.rotationalInertia = scale_rot_inertia(ret.mass, ret.wheelbase)
# TODO: start from empirically derived lateral slip stiffness for the civic and scale by
# mass and CG position, so all cars will have approximately similar dyn behaviors
ret.tireStiffnessFront, ret.tireStiffnessRear = scale_tire_stiffness(
ret.mass,
ret.wheelbase,
ret.centerToFront,
tire_stiffness_factor=tire_stiffness_factor)
# no rear steering, at least on the listed cars above
ret.steerRatioRear = 0.
ret.steerControlType = car.CarParams.SteerControlType.torque
ret.enableCamera = is_ecu_disconnected(fingerprint[0], FINGERPRINTS,
ECU_FINGERPRINT, candidate,
Ecu.fwdCamera) or has_relay
ret.stoppingControl = True
ret.startAccel = 0.0
# ignore CAN2 address if L-CAN on the same BUS
ret.mdpsBus = 1 if 593 in fingerprint[1] and 1296 not in fingerprint[
1] else 0
ret.sasBus = 1 if 688 in fingerprint[1] and 1296 not in fingerprint[
1] else 0
ret.sccBus = 0 if 1056 in fingerprint[0] else 1 if 1056 in fingerprint[1] and 1296 not in fingerprint[1] \
else 2 if 1056 in fingerprint[2] else -1
ret.radarOffCan = ret.sccBus == -1
ret.openpilotLongitudinalControl = Params().get(
'LongControlEnabled') == b'1'
ret.enableCruise = not ret.radarOffCan
ret.spasEnabled = False
# set safety_hyundai_community only for non-SCC, MDPS harrness or SCC harrness cars or cars that have unknown issue
if ret.radarOffCan or ret.mdpsBus == 1 or ret.openpilotLongitudinalControl or ret.sccBus == 1 or Params(
).get('MadModeEnabled') == b'1':
ret.safetyModel = car.CarParams.SafetyModel.hyundaiCommunity
return ret
def get_params(candidate,
fingerprint=gen_empty_fingerprint(),
has_relay=False,
car_fw=[]):
ret = CarInterfaceBase.get_std_params(candidate, fingerprint,
has_relay)
ret.carName = "hyundai"
ret.safetyModel = car.CarParams.SafetyModel.hyundai
ret.radarOffCan = True
# Hyundai port is a community feature for now
ret.communityFeature = True
ret.steerActuatorDelay = 0.1 # Default delay
ret.steerRateCost = 0.5
ret.steerLimitTimer = 0.4
tire_stiffness_factor = 1.
if candidate == CAR.SANTA_FE:
ret.lateralTuning.pid.kf = 0.00005
ret.mass = 3982. * CV.LB_TO_KG + STD_CARGO_KG
ret.wheelbase = 2.766
# Values from optimizer
ret.steerRatio = 16.55 # 13.8 is spec end-to-end
tire_stiffness_factor = 0.82
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[
9., 22.
], [9., 22.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[
0.2, 0.35
], [0.05, 0.09]]
ret.minSteerSpeed = 0.
elif candidate == CAR.SONATA:
ret.lateralTuning.pid.kf = 0.00005
ret.mass = 1513. + STD_CARGO_KG
ret.wheelbase = 2.84
ret.steerRatio = 13.27 * 1.15 # 15% higher at the center seems reasonable
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.25],
[0.05]]
ret.minSteerSpeed = 0.
elif candidate == CAR.PALISADE:
ret.lateralTuning.pid.kf = 0.00005
ret.mass = 1999. + STD_CARGO_KG
ret.wheelbase = 2.90
ret.steerRatio = 13.75 * 1.15
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.25],
[0.05]]
elif candidate == CAR.KIA_SORENTO:
ret.lateralTuning.pid.kf = 0.00005
ret.mass = 1985. + STD_CARGO_KG
ret.wheelbase = 2.78
ret.steerRatio = 14.4 * 1.1 # 10% higher at the center seems reasonable
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.25],
[0.05]]
ret.minSteerSpeed = 0.
elif candidate in [CAR.ELANTRA, CAR.ELANTRA_GT_I30]:
ret.lateralTuning.pid.kf = 0.00006
ret.mass = 1275. + STD_CARGO_KG
ret.wheelbase = 2.7
ret.steerRatio = 15.4 # 14 is Stock | Settled Params Learner values are steerRatio: 15.401566348670535
tire_stiffness_factor = 0.385 # stiffnessFactor settled on 1.0081302973865127
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.25],
[0.05]]
ret.minSteerSpeed = 32 * CV.MPH_TO_MS
elif candidate == CAR.HYUNDAI_GENESIS:
ret.lateralTuning.pid.kf = 0.00005
ret.mass = 2060. + STD_CARGO_KG
ret.wheelbase = 3.01
ret.steerRatio = 16.5
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.16],
[0.01]]
ret.minSteerSpeed = 60 * CV.KPH_TO_MS
elif candidate in [CAR.GENESIS_G90, CAR.GENESIS_G80]:
ret.mass = 2200
ret.wheelbase = 3.15
ret.steerRatio = 12.069
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.16],
[0.01]]
elif candidate in [CAR.KIA_OPTIMA, CAR.KIA_OPTIMA_H]:
ret.lateralTuning.pid.kf = 0.00005
ret.mass = 3558. * CV.LB_TO_KG
ret.wheelbase = 2.80
ret.steerRatio = 13.75
tire_stiffness_factor = 0.5
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.25],
[0.05]]
elif candidate == CAR.KIA_STINGER:
ret.lateralTuning.pid.kf = 0.00005
ret.mass = 1825. + STD_CARGO_KG
ret.wheelbase = 2.78
ret.steerRatio = 14.4 * 1.15 # 15% higher at the center seems reasonable
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.25],
[0.05]]
ret.minSteerSpeed = 0.
elif candidate == CAR.KONA:
ret.lateralTuning.pid.kf = 0.00006
ret.mass = 1275. + STD_CARGO_KG
ret.wheelbase = 2.7
ret.steerRatio = 13.73 #Spec
tire_stiffness_factor = 0.385
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.25],
[0.05]]
elif candidate == CAR.IONIQ:
ret.lateralTuning.pid.kf = 0.00006
ret.mass = 1275. + STD_CARGO_KG
ret.wheelbase = 2.7
ret.steerRatio = 13.73 #Spec
tire_stiffness_factor = 0.385
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.25],
[0.05]]
ret.minSteerSpeed = 32 * CV.MPH_TO_MS
elif candidate == CAR.KONA_EV:
ret.lateralTuning.pid.kf = 0.00006
ret.mass = 1685. + STD_CARGO_KG
ret.wheelbase = 2.7
ret.steerRatio = 13.73 #Spec
tire_stiffness_factor = 0.385
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.25],
[0.05]]
elif candidate == CAR.IONIQ_EV_LTD:
ret.lateralTuning.pid.kf = 0.00006
ret.mass = 1490. + STD_CARGO_KG #weight per hyundai site https://www.hyundaiusa.com/ioniq-electric/specifications.aspx
ret.wheelbase = 2.7
ret.steerRatio = 13.73 #Spec
tire_stiffness_factor = 0.385
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.25],
[0.05]]
ret.minSteerSpeed = 32 * CV.MPH_TO_MS
elif candidate == CAR.KIA_FORTE:
ret.lateralTuning.pid.kf = 0.00005
ret.mass = 3558. * CV.LB_TO_KG
ret.wheelbase = 2.80
ret.steerRatio = 13.75
tire_stiffness_factor = 0.5
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.25],
[0.05]]
ret.centerToFront = ret.wheelbase * 0.4
# TODO: get actual value, for now starting with reasonable value for
# civic and scaling by mass and wheelbase
ret.rotationalInertia = scale_rot_inertia(ret.mass, ret.wheelbase)
# TODO: start from empirically derived lateral slip stiffness for the civic and scale by
# mass and CG position, so all cars will have approximately similar dyn behaviors
ret.tireStiffnessFront, ret.tireStiffnessRear = scale_tire_stiffness(
ret.mass,
ret.wheelbase,
ret.centerToFront,
tire_stiffness_factor=tire_stiffness_factor)
ret.enableCamera = is_ecu_disconnected(fingerprint[0], FINGERPRINTS,
ECU_FINGERPRINT, candidate,
Ecu.fwdCamera) or has_relay
return ret
def get_params(candidate,
fingerprint=gen_empty_fingerprint(),
has_relay=True,
car_fw=[]): # pylint: disable=dangerous-default-value
ret = CarInterfaceBase.get_std_params(candidate, fingerprint,
has_relay)
ret.carName = "honda"
if candidate in HONDA_BOSCH:
ret.safetyModel = car.CarParams.SafetyModel.hondaBoschHarness if has_relay else car.CarParams.SafetyModel.hondaBoschGiraffe
rdr_bus = 0 if has_relay else 2
ret.enableCamera = is_ecu_disconnected(
fingerprint[rdr_bus], FINGERPRINTS, ECU_FINGERPRINT, candidate,
Ecu.fwdCamera) or has_relay
ret.radarOffCan = True
ret.openpilotLongitudinalControl = False
else:
ret.safetyModel = car.CarParams.SafetyModel.hondaNidec
ret.enableCamera = is_ecu_disconnected(
fingerprint[0], FINGERPRINTS, ECU_FINGERPRINT, candidate,
Ecu.fwdCamera) or has_relay
ret.enableGasInterceptor = 0x201 in fingerprint[0]
ret.openpilotLongitudinalControl = ret.enableCamera
cloudlog.warning("ECU Camera Simulated: %r", ret.enableCamera)
cloudlog.warning("ECU Gas Interceptor: %r", ret.enableGasInterceptor)
ret.enableCruise = not ret.enableGasInterceptor
ret.communityFeature = ret.enableGasInterceptor
# Certain Hondas have an extra steering sensor at the bottom of the steering rack,
# which improves controls quality as it removes the steering column torsion from feedback.
# Tire stiffness factor fictitiously lower if it includes the steering column torsion effect.
# For modeling details, see p.198-200 in "The Science of Vehicle Dynamics (2014), M. Guiggiani"
ret.lateralParams.torqueBP, ret.lateralParams.torqueV = [[0], [0]]
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.], [0.]]
ret.steerRateCost = 0.35
ret.lateralTuning.pid.kf = 0.00006 # conservative feed-forward
eps_modified = False
kegman = kegman_conf()
if int(kegman.conf['epsModded']):
eps_modified = True
for fw in car_fw:
if fw.ecu == "eps" and b"," in fw.fwVersion:
eps_modified = True
if candidate == CAR.CIVIC:
stop_and_go = True
ret.mass = CivicParams.MASS
ret.wheelbase = CivicParams.WHEELBASE
ret.centerToFront = CivicParams.CENTER_TO_FRONT
ret.steerRatio = 15.38 # 10.93 is end-to-end spec
if eps_modified:
# stock request input values: 0x0000, 0x00DE, 0x014D, 0x01EF, 0x0290, 0x0377, 0x0454, 0x0610, 0x06EE
# stock request output values: 0x0000, 0x0917, 0x0DC5, 0x1017, 0x119F, 0x140B, 0x1680, 0x1680, 0x1680
# modified request output values: 0x0000, 0x0917, 0x0DC5, 0x1017, 0x119F, 0x140B, 0x1680, 0x2880, 0x3180
# stock filter output values: 0x009F, 0x0108, 0x0108, 0x0108, 0x0108, 0x0108, 0x0108, 0x0108, 0x0108
# modified filter output values: 0x009F, 0x0108, 0x0108, 0x0108, 0x0108, 0x0108, 0x0108, 0x0400, 0x0480
# note: max request allowed is 4096, but request is capped at 3840 in firmware, so modifications result in 2x max
ret.lateralParams.torqueBP, ret.lateralParams.torqueV = [[
0, 2560, 8000
], [0, 2560, 3840]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.3],
[0.1]]
else:
ret.lateralParams.torqueBP, ret.lateralParams.torqueV = [[
0, 2560
], [0, 2560]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[1.1],
[0.33]]
tire_stiffness_factor = 1.
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.8],
[0.24]]
ret.longitudinalTuning.kpBP = [0., 5., 35.]
ret.longitudinalTuning.kpV = [3.6, 2.4, 1.5]
ret.longitudinalTuning.kiBP = [0., 35.]
ret.longitudinalTuning.kiV = [0.54, 0.36]
elif candidate in (CAR.CIVIC_BOSCH, CAR.CIVIC_BOSCH_DIESEL):
stop_and_go = True
ret.mass = CivicParams.MASS
ret.wheelbase = CivicParams.WHEELBASE
ret.centerToFront = CivicParams.CENTER_TO_FRONT
ret.steerRatio = 15.38 # 10.93 is end-to-end spec
if eps_modified:
ret.lateralParams.torqueBP, ret.lateralParams.torqueV = [[
0, 2564, 8000
], [0, 2564, 3840]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[
0.4
], [0.12]] # Put your own modded values here
else:
ret.lateralParams.torqueBP, ret.lateralParams.torqueV = [
[0, 4096], [0, 4096]
] # TODO: determine if there is a dead zone at the top end
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.8],
[0.24]]
tire_stiffness_factor = 1.
ret.longitudinalTuning.kpBP = [0., 5., 35.]
ret.longitudinalTuning.kpV = [1.2, 0.8, 0.5]
ret.longitudinalTuning.kiBP = [0., 35.]
ret.longitudinalTuning.kiV = [0.18, 0.12]
elif candidate in (CAR.ACCORD, CAR.ACCORD_15, CAR.ACCORDH):
stop_and_go = True
if not candidate == CAR.ACCORDH: # Hybrid uses same brake msg as hatch
ret.safetyParam = 1 # Accord(ICE), CRV 5G, and RDX 3G use an alternate user brake msg
ret.mass = 3279. * CV.LB_TO_KG + STD_CARGO_KG
ret.wheelbase = 2.83
ret.centerToFront = ret.wheelbase * 0.39
ret.steerRatio = 16.33 # 11.82 is spec end-to-end
ret.lateralParams.torqueBP, ret.lateralParams.torqueV = [
[0, 4096], [0, 4096]
] # TODO: determine if there is a dead zone at the top end
tire_stiffness_factor = 0.8467
ret.longitudinalTuning.kpBP = [0., 5., 35.]
ret.longitudinalTuning.kpV = [1.2, 0.8, 0.5]
ret.longitudinalTuning.kiBP = [0., 35.]
ret.longitudinalTuning.kiV = [0.18, 0.12]
if eps_modified:
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.3],
[0.09]]
else:
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.6],
[0.18]]
elif candidate == CAR.ACURA_ILX:
stop_and_go = False
ret.mass = 3095. * CV.LB_TO_KG + STD_CARGO_KG
ret.wheelbase = 2.67
ret.centerToFront = ret.wheelbase * 0.37
ret.steerRatio = 18.61 # 15.3 is spec end-to-end
ret.lateralParams.torqueBP, ret.lateralParams.torqueV = [
[0, 3840], [0, 3840]
] # TODO: determine if there is a dead zone at the top end
tire_stiffness_factor = 0.72
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.8],
[0.24]]
ret.longitudinalTuning.kpBP = [0., 5., 35.]
ret.longitudinalTuning.kpV = [1.2, 0.8, 0.5]
ret.longitudinalTuning.kiBP = [0., 35.]
ret.longitudinalTuning.kiV = [0.18, 0.12]
elif candidate in (CAR.CRV, CAR.CRV_EU):
stop_and_go = False
ret.mass = 3572. * CV.LB_TO_KG + STD_CARGO_KG
ret.wheelbase = 2.62
ret.centerToFront = ret.wheelbase * 0.41
ret.steerRatio = 16.89 # as spec
ret.lateralParams.torqueBP, ret.lateralParams.torqueV = [
[0, 1000], [0, 1000]
] # TODO: determine if there is a dead zone at the top end
tire_stiffness_factor = 0.444
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.8],
[0.24]]
ret.longitudinalTuning.kpBP = [0., 5., 35.]
ret.longitudinalTuning.kpV = [1.2, 0.8, 0.5]
ret.longitudinalTuning.kiBP = [0., 35.]
ret.longitudinalTuning.kiV = [0.18, 0.12]
elif candidate == CAR.CRV_5G:
stop_and_go = True
ret.safetyParam = 1 # Accord(ICE), CRV 5G, and RDX 3G use an alternate user brake msg
ret.mass = 3410. * CV.LB_TO_KG + STD_CARGO_KG
ret.wheelbase = 2.66
ret.centerToFront = ret.wheelbase * 0.41
ret.steerRatio = 16.0 # 12.3 is spec end-to-end
if eps_modified:
# stock request input values: 0x0000, 0x00DB, 0x01BB, 0x0296, 0x0377, 0x0454, 0x0532, 0x0610, 0x067F
# stock request output values: 0x0000, 0x0500, 0x0A15, 0x0E6D, 0x1100, 0x1200, 0x129A, 0x134D, 0x1400
# modified request output values: 0x0000, 0x0500, 0x0A15, 0x0E6D, 0x1100, 0x1200, 0x1ACD, 0x239A, 0x2800
ret.lateralParams.torqueBP, ret.lateralParams.torqueV = [[
0, 2560, 10000
], [0, 2560, 3840]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.3],
[0.1]]
else:
ret.lateralParams.torqueBP, ret.lateralParams.torqueV = [[
0, 3840
], [0, 3840]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[
0.64
], [0.192]]
tire_stiffness_factor = 0.677
ret.longitudinalTuning.kpBP = [0., 5., 35.]
ret.longitudinalTuning.kpV = [1.2, 0.8, 0.5]
ret.longitudinalTuning.kiBP = [0., 35.]
ret.longitudinalTuning.kiV = [0.18, 0.12]
elif candidate == CAR.CRV_HYBRID:
stop_and_go = True
ret.safetyParam = 1 # Accord(ICE), CRV 5G, and RDX 3G use an alternate user brake msg
ret.mass = 1667. + STD_CARGO_KG # mean of 4 models in kg
ret.wheelbase = 2.66
ret.centerToFront = ret.wheelbase * 0.41
ret.steerRatio = 16.0 # 12.3 is spec end-to-end
ret.lateralParams.torqueBP, ret.lateralParams.torqueV = [
[0, 4096], [0, 4096]
] # TODO: determine if there is a dead zone at the top end
tire_stiffness_factor = 0.677
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.6],
[0.18]]
ret.longitudinalTuning.kpBP = [0., 5., 35.]
ret.longitudinalTuning.kpV = [1.2, 0.8, 0.5]
ret.longitudinalTuning.kiBP = [0., 35.]
ret.longitudinalTuning.kiV = [0.18, 0.12]
elif candidate == CAR.FIT:
stop_and_go = False
ret.mass = 2644. * CV.LB_TO_KG + STD_CARGO_KG
ret.wheelbase = 2.53
ret.centerToFront = ret.wheelbase * 0.39
ret.steerRatio = 13.06
ret.lateralParams.torqueBP, ret.lateralParams.torqueV = [
[0, 4096], [0, 4096]
] # TODO: determine if there is a dead zone at the top end
tire_stiffness_factor = 0.75
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.20],
[0.04]]
# BP values are speeds - 0 m/s, 10 m/s, 35 m/s
# which is 0 MPH, 22 MPH, and 78 MPH
ret.longitudinalTuning.kpBP = [0., 10., 35.]
# These are corresponding Kp values with the above speeds
ret.longitudinalTuning.kpV = [0.6, 0.4, 0.3]
ret.longitudinalTuning.kiBP = [0., 35.]
ret.longitudinalTuning.kiV = [0.18, 0.12]
elif candidate == CAR.HRV:
stop_and_go = False
ret.mass = 3125 * CV.LB_TO_KG + STD_CARGO_KG
ret.wheelbase = 2.61
ret.centerToFront = ret.wheelbase * 0.41
ret.steerRatio = 15.2
ret.lateralParams.torqueBP, ret.lateralParams.torqueV = [[0, 4096],
[0, 4096]]
tire_stiffness_factor = 0.5
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.16],
[0.025]]
ret.longitudinalTuning.kpBP = [0., 5., 35.]
ret.longitudinalTuning.kpV = [1.2, 0.8, 0.5]
ret.longitudinalTuning.kiBP = [0., 35.]
ret.longitudinalTuning.kiV = [0.18, 0.12]
elif candidate == CAR.HRV:
stop_and_go = False
ret.mass = 3125 * CV.LB_TO_KG + STD_CARGO_KG
ret.wheelbase = 2.61
ret.centerToFront = ret.wheelbase * 0.41
ret.steerRatio = 15.2
ret.lateralParams.torqueBP, ret.lateralParams.torqueV = [[0, 4096],
[0, 4096]]
tire_stiffness_factor = 0.5
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.16],
[0.025]]
ret.longitudinalTuning.kpBP = [0., 5., 35.]
ret.longitudinalTuning.kpV = [1.2, 0.8, 0.5]
ret.longitudinalTuning.kiBP = [0., 35.]
ret.longitudinalTuning.kiV = [0.18, 0.12]
elif candidate == CAR.ACURA_RDX:
stop_and_go = False
ret.mass = 3935. * CV.LB_TO_KG + STD_CARGO_KG
ret.wheelbase = 2.68
ret.centerToFront = ret.wheelbase * 0.38
ret.steerRatio = 15.0 # as spec
ret.lateralParams.torqueBP, ret.lateralParams.torqueV = [
[0, 1000], [0, 1000]
] # TODO: determine if there is a dead zone at the top end
tire_stiffness_factor = 0.444
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.8],
[0.24]]
ret.longitudinalTuning.kpBP = [0., 5., 35.]
ret.longitudinalTuning.kpV = [1.2, 0.8, 0.5]
ret.longitudinalTuning.kiBP = [0., 35.]
ret.longitudinalTuning.kiV = [0.18, 0.12]
elif candidate == CAR.INSIGHT:
stop_and_go = True
ret.mass = 2987. * CV.LB_TO_KG + STD_CARGO_KG
ret.wheelbase = 2.7
ret.centerToFront = ret.wheelbase * 0.39
ret.steerRatio = 15 # 12.58 is spec end-to-end
tire_stiffness_factor = 0.82
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.6],
[0.18]]
elif candidate == CAR.ACURA_RDX_3G:
stop_and_go = True
ret.safetyParam = 1 # Accord(ICE), CRV 5G, and RDX 3G use an alternate user brake msg
ret.mass = 4068. * CV.LB_TO_KG + STD_CARGO_KG
ret.wheelbase = 2.75
ret.centerToFront = ret.wheelbase * 0.41
ret.steerRatio = 11.95 # as spec
ret.lateralParams.torqueBP, ret.lateralParams.torqueV = [[0, 3840],
[0, 3840]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.6],
[0.18]]
tire_stiffness_factor = 0.677
ret.longitudinalTuning.kpBP = [0., 5., 35.]
ret.longitudinalTuning.kpV = [1.2, 0.8, 0.5]
ret.longitudinalTuning.kiBP = [0., 35.]
ret.longitudinalTuning.kiV = [0.18, 0.12]
elif candidate == CAR.ODYSSEY:
stop_and_go = False
ret.mass = 4471. * CV.LB_TO_KG + STD_CARGO_KG
ret.wheelbase = 3.00
ret.centerToFront = ret.wheelbase * 0.41
ret.steerRatio = 14.35 # as spec
ret.lateralParams.torqueBP, ret.lateralParams.torqueV = [
[0, 4096], [0, 4096]
] # TODO: determine if there is a dead zone at the top end
tire_stiffness_factor = 0.82
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.45],
[0.135]]
ret.longitudinalTuning.kpBP = [0., 5., 35.]
ret.longitudinalTuning.kpV = [1.2, 0.8, 0.5]
ret.longitudinalTuning.kiBP = [0., 35.]
ret.longitudinalTuning.kiV = [0.18, 0.12]
elif candidate == CAR.ODYSSEY_CHN:
stop_and_go = False
ret.mass = 1849.2 + STD_CARGO_KG # mean of 4 models in kg
ret.wheelbase = 2.90
ret.centerToFront = ret.wheelbase * 0.41 # from CAR.ODYSSEY
ret.steerRatio = 14.35
ret.lateralParams.torqueBP, ret.lateralParams.torqueV = [
[0, 32767], [0, 32767]
] # TODO: determine if there is a dead zone at the top end
tire_stiffness_factor = 0.82
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.45],
[0.135]]
ret.longitudinalTuning.kpBP = [0., 5., 35.]
ret.longitudinalTuning.kpV = [1.2, 0.8, 0.5]
ret.longitudinalTuning.kiBP = [0., 35.]
ret.longitudinalTuning.kiV = [0.18, 0.12]
elif candidate in (CAR.PILOT, CAR.PILOT_2018, CAR.PILOT_2019):
stop_and_go = False
ret.mass = 4204. * CV.LB_TO_KG + STD_CARGO_KG # average weight
ret.wheelbase = 2.82
ret.steerRatio = 12.5 # Tuned value for 0.6.4 to eliminate wobble
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.45],
[0.21]]
ret.centerToFront = ret.wheelbase * 0.428
ret.steerRatio = 12.5 # as spec
ret.lateralParams.torqueBP, ret.lateralParams.torqueV = [
[0, 4096], [0, 4096]
] # TODO: determine if there is a dead zone at the top end
tire_stiffness_factor = 0.444
ret.longitudinalTuning.kpBP = [0., 5., 35.]
ret.longitudinalTuning.kpV = [1.2, 0.8, 0.5]
ret.longitudinalTuning.kiBP = [0., 35.]
ret.longitudinalTuning.kiV = [0.18, 0.12]
elif candidate == CAR.RIDGELINE:
stop_and_go = False
ret.mass = 4515. * CV.LB_TO_KG + STD_CARGO_KG
ret.wheelbase = 3.18
ret.centerToFront = ret.wheelbase * 0.41
ret.steerRatio = 15.59 # as spec
ret.lateralParams.torqueBP, ret.lateralParams.torqueV = [
[0, 4096], [0, 4096]
] # TODO: determine if there is a dead zone at the top end
tire_stiffness_factor = 0.444
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.38],
[0.11]]
ret.longitudinalTuning.kpBP = [0., 5., 35.]
ret.longitudinalTuning.kpV = [1.2, 0.8, 0.5]
ret.longitudinalTuning.kiBP = [0., 35.]
ret.longitudinalTuning.kiV = [0.18, 0.12]
elif candidate == CAR.INSIGHT:
stop_and_go = True
ret.mass = 2987. * CV.LB_TO_KG + STD_CARGO_KG
ret.wheelbase = 2.7
ret.centerToFront = ret.wheelbase * 0.39
ret.steerRatio = 15.0 # 12.58 is spec end-to-end
ret.lateralParams.torqueBP, ret.lateralParams.torqueV = [
[0, 4096], [0, 4096]
] # TODO: determine if there is a dead zone at the top end
tire_stiffness_factor = 0.82
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.6],
[0.18]]
ret.longitudinalTuning.kpBP = [0., 5., 35.]
ret.longitudinalTuning.kpV = [1.2, 0.8, 0.5]
ret.longitudinalTuning.kiBP = [0., 35.]
ret.longitudinalTuning.kiV = [0.18, 0.12]
else:
raise ValueError("unsupported car %s" % candidate)
# min speed to enable ACC. if car can do stop and go, then set enabling speed
# to a negative value, so it won't matter. Otherwise, add 0.5 mph margin to not
# conflict with PCM acc
ret.minEnableSpeed = -1. if (
stop_and_go or ret.enableGasInterceptor) else 25.5 * CV.MPH_TO_MS
# TODO: get actual value, for now starting with reasonable value for
# civic and scaling by mass and wheelbase
ret.rotationalInertia = scale_rot_inertia(ret.mass, ret.wheelbase)
# TODO: start from empirically derived lateral slip stiffness for the civic and scale by
# mass and CG position, so all cars will have approximately similar dyn behaviors
ret.tireStiffnessFront, ret.tireStiffnessRear = scale_tire_stiffness(
ret.mass,
ret.wheelbase,
ret.centerToFront,
tire_stiffness_factor=tire_stiffness_factor)
ret.gasMaxBP = [0., 3, 8, 35
] if ret.enableGasInterceptor else [0.] # m/s
ret.gasMaxV = [0.2, 0.3, 0.5, 0.6] if ret.enableGasInterceptor else [
0.
] # max gas allowed
ret.brakeMaxBP = [5., 20.] # m/s
ret.brakeMaxV = [1., 0.8] # max brake allowed
ret.stoppingControl = True
ret.startAccel = 0.5
ret.steerActuatorDelay = 0.1
ret.steerLimitTimer = 0.8
return ret
def get_params(candidate, fingerprint=gen_empty_fingerprint(), car_fw=[]): # pylint: disable=dangerous-default-value
ret = CarInterfaceBase.get_std_params(candidate, fingerprint)
ret.carName = "hyundai"
ret.safetyModel = car.CarParams.SafetyModel.hyundaiLegacy
#if candidate in [CAR.SONATA]:
# ret.safetyModel = car.CarParams.SafetyModel.hyundai
params = Params()
PidKp = int(params.get('PidKp')) * 0.01
PidKi = int(params.get('PidKi')) * 0.001
PidKf = int(params.get('PidKf')) * 0.00001
InnerLoopGain = int(params.get('InnerLoopGain')) * 0.1
OuterLoopGain = int(params.get('OuterLoopGain')) * 0.1
TimeConstant = int(params.get('TimeConstant')) * 0.1
ActuatorEffectiveness = int(params.get('ActuatorEffectiveness')) * 0.1
Scale = int(params.get('Scale')) * 1.0
LqrKi = int(params.get('LqrKi')) * 0.001
DcGain = int(params.get('DcGain')) * 0.0001
LqrSteerMaxV = int(params.get('SteerMaxvAdj')) * 0.1
# Most Hyundai car ports are community features for now
ret.communityFeature = False
tire_stiffness_factor = int(
params.get('TireStiffnessFactorAdj')) * 0.01
ret.steerActuatorDelay = int(
params.get('SteerActuatorDelayAdj')) * 0.01
ret.steerRateCost = int(params.get('SteerRateCostAdj')) * 0.01
ret.steerLimitTimer = int(params.get('SteerLimitTimerAdj')) * 0.01
ret.steerRatio = int(params.get('SteerRatioAdj')) * 0.1
if candidate == CAR.GENESIS:
ret.mass = 1900. + STD_CARGO_KG
ret.wheelbase = 3.01
elif candidate == CAR.GENESIS_G70:
ret.mass = 1640. + STD_CARGO_KG
ret.wheelbase = 2.84
elif candidate == CAR.GENESIS_G80:
ret.mass = 1855. + STD_CARGO_KG
ret.wheelbase = 3.01
elif candidate == CAR.GENESIS_G90:
ret.mass = 2200
ret.wheelbase = 3.15
elif candidate in [CAR.SANTA_FE]:
ret.mass = 1694 + STD_CARGO_KG
ret.wheelbase = 2.766
elif candidate in [CAR.SONATA, CAR.SONATA_HEV]:
ret.mass = 1513. + STD_CARGO_KG
ret.wheelbase = 2.84
elif candidate in [CAR.SONATA19, CAR.SONATA19_HEV]:
ret.mass = 4497. * CV.LB_TO_KG
ret.wheelbase = 2.804
elif candidate == CAR.PALISADE:
ret.mass = 1999. + STD_CARGO_KG
ret.wheelbase = 2.90
elif candidate in [CAR.ELANTRA, CAR.ELANTRA_GT_I30]:
ret.mass = 1275. + STD_CARGO_KG
ret.wheelbase = 2.7
elif candidate == CAR.KONA:
ret.mass = 1275. + STD_CARGO_KG
ret.wheelbase = 2.7
elif candidate in [CAR.KONA_HEV, CAR.KONA_EV]:
ret.mass = 1685. + STD_CARGO_KG
ret.wheelbase = 2.7
elif candidate in [CAR.IONIQ_HEV, CAR.IONIQ_EV]:
ret.mass = 1490. + STD_CARGO_KG #weight per hyundai site https://www.hyundaiusa.com/ioniq-electric/specifications.aspx
ret.wheelbase = 2.7
elif candidate in [CAR.GRANDEUR, CAR.GRANDEUR_HEV]:
ret.mass = 1640. + STD_CARGO_KG
ret.wheelbase = 2.845
elif candidate == CAR.VELOSTER:
ret.mass = 3558. * CV.LB_TO_KG
ret.wheelbase = 2.80
elif candidate == CAR.NEXO:
ret.mass = 1885. + STD_CARGO_KG
ret.wheelbase = 2.79
# kia
elif candidate == CAR.SORENTO:
ret.mass = 1985. + STD_CARGO_KG
ret.wheelbase = 2.78
elif candidate in [CAR.OPTIMA, CAR.OPTIMA_HEV]:
ret.wheelbase = 2.80
ret.mass = 1595. + STD_CARGO_KG
elif candidate == CAR.STINGER:
ret.mass = 1825.0 + STD_CARGO_KG
ret.wheelbase = 2.906 # https://www.kia.com/us/en/stinger/specs
elif candidate == CAR.FORTE:
ret.mass = 3558. * CV.LB_TO_KG
ret.wheelbase = 2.80
elif candidate == CAR.CEED:
ret.mass = 1350. + STD_CARGO_KG
ret.wheelbase = 2.65
elif candidate == CAR.SPORTAGE:
ret.mass = 1985. + STD_CARGO_KG
ret.wheelbase = 2.78
elif candidate in [CAR.NIRO_HEV, CAR.NIRO_EV]:
ret.mass = 1737. + STD_CARGO_KG
ret.wheelbase = 2.7
elif candidate in [CAR.CADENZA, CAR.CADENZA_HEV]:
ret.mass = 1640. + STD_CARGO_KG
ret.wheelbase = 2.845
if int(params.get('LateralControlMethod')) == 0:
ret.lateralTuning.pid.kf = PidKf
ret.lateralTuning.pid.kpBP = [0., 9.]
ret.lateralTuning.pid.kpV = [0.1, PidKp]
ret.lateralTuning.pid.kiBP = [0., 9.]
ret.lateralTuning.pid.kiV = [0.01, PidKi]
elif int(params.get('LateralControlMethod')) == 1:
ret.lateralTuning.init('indi')
ret.lateralTuning.indi.innerLoopGain = InnerLoopGain
ret.lateralTuning.indi.outerLoopGain = OuterLoopGain
ret.lateralTuning.indi.timeConstant = TimeConstant
ret.lateralTuning.indi.actuatorEffectiveness = ActuatorEffectiveness
elif int(params.get('LateralControlMethod')) == 2:
ret.lateralTuning.init('lqr')
ret.lateralTuning.lqr.scale = Scale
ret.lateralTuning.lqr.ki = LqrKi
ret.lateralTuning.lqr.a = [0., 1., -0.22619643, 1.21822268]
ret.lateralTuning.lqr.b = [-1.92006585e-04, 3.95603032e-05]
ret.lateralTuning.lqr.c = [1., 0.]
ret.lateralTuning.lqr.k = [-110., 451.]
ret.lateralTuning.lqr.l = [0.33, 0.318]
ret.lateralTuning.lqr.dcGain = DcGain
ret.steerMaxV = [LqrSteerMaxV]
ret.steerMaxBP = [0.]
ret.centerToFront = ret.wheelbase * 0.4
# TODO: get actual value, for now starting with reasonable value for
# civic and scaling by mass and wheelbase
ret.rotationalInertia = scale_rot_inertia(ret.mass, ret.wheelbase)
# TODO: start from empirically derived lateral slip stiffness for the civic and scale by
# mass and CG position, so all cars will have approximately similar dyn behaviors
ret.tireStiffnessFront, ret.tireStiffnessRear = scale_tire_stiffness(
ret.mass,
ret.wheelbase,
ret.centerToFront,
tire_stiffness_factor=tire_stiffness_factor)
# no rear steering, at least on the listed cars above
ret.steerRatioRear = 0.
ret.steerControlType = car.CarParams.SteerControlType.torque
ret.longitudinalTuning.kpBP = [0., 10., 40.]
ret.longitudinalTuning.kpV = [1.2, 0.6, 0.2]
ret.longitudinalTuning.kiBP = [0., 10., 30., 40.]
ret.longitudinalTuning.kiV = [0.05, 0.02, 0.01, 0.005]
ret.longitudinalTuning.deadzoneBP = [0., 40]
ret.longitudinalTuning.deadzoneV = [0., 0.02]
# steer, gas, brake limitations VS speed
ret.gasMaxBP = [0., 10., 40.]
ret.gasMaxV = [0.5, 0.5, 0.5]
ret.brakeMaxBP = [0., 20.]
ret.brakeMaxV = [1., 0.8]
ret.enableCamera = True
ret.stoppingControl = True
ret.startAccel = 0.0
ret.standStill = False
# ignore CAN2 address if L-CAN on the same BUS
ret.mdpsBus = 1 if 593 in fingerprint[1] and 1296 not in fingerprint[
1] else 0
ret.sasBus = 1 if 688 in fingerprint[1] and 1296 not in fingerprint[
1] else 0
ret.sccBus = 0 if 1056 in fingerprint[0] else 1 if 1056 in fingerprint[1] and 1296 not in fingerprint[1] \
else 2 if 1056 in fingerprint[2] else -1
ret.radarOffCan = False
ret.openpilotLongitudinalControl = False
ret.enableCruise = not ret.radarOffCan
ret.spasEnabled = False
# set safety_hyundai_community only for non-SCC, MDPS harrness or SCC harrness cars or cars that have unknown issue
if ret.radarOffCan or ret.mdpsBus == 1 or ret.openpilotLongitudinalControl or ret.sccBus == 1 or True:
ret.safetyModel = car.CarParams.SafetyModel.hyundaiCommunity
return ret
def get_params(candidate,
fingerprint=gen_empty_fingerprint(),
has_relay=False,
car_fw=[]): # pylint: disable=dangerous-default-value
ret = CarInterfaceBase.get_std_params(candidate, fingerprint,
has_relay)
ret.carName = "toyota"
ret.safetyModel = car.CarParams.SafetyModel.toyota
ret.steerActuatorDelay = 0.12 # Default delay, Prius has larger delay
ret.steerLimitTimer = 0.4
ret.steerRateCost = 0.5 if ret.hasZss else 1.0
ret.hasZss = 0x23 in fingerprint[
0] # Detect whether car has accurate ZSS
CARS_NOT_PID = [CAR.RAV4, CAR.RAV4H]
if not prius_use_pid:
CARS_NOT_PID.append(CAR.PRIUS_2020)
CARS_NOT_PID.append(CAR.PRIUS)
if candidate not in CARS_NOT_PID and not use_lqr: # These cars use LQR/INDI
ret.lateralTuning.init('pid')
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
if candidate == CAR.PRIUS:
stop_and_go = True
ret.safetyParam = 50 # see conversion factor for STEER_TORQUE_EPS in dbc file
ret.wheelbase = 2.70
ret.steerRatio = 13.4 # unknown end-to-end spec
tire_stiffness_factor = 0.6371 # hand-tune
ret.mass = 3045. * CV.LB_TO_KG + STD_CARGO_KG
ret.steerActuatorDelay = 0.5
if prius_use_pid:
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[
0.38
], [0.02]] # todo: parametertize by zss
ret.lateralTuning.pid.kdV = [0.85]
ret.lateralTuning.pid.kf = 0.000068 # full torque for 20 deg at 80mph means 0.00007818594
else:
ret.lateralTuning.init('indi')
ret.lateralTuning.indi.innerLoopGainV = [4.0]
ret.lateralTuning.indi.outerLoopGainV = [3.0]
ret.lateralTuning.indi.timeConstantV = [
0.1
] if ret.hasZss else [1.0]
ret.lateralTuning.indi.actuatorEffectivenessV = [1.0]
elif candidate == CAR.PRIUS_2020:
stop_and_go = True
ret.safetyParam = 54
ret.wheelbase = 2.6924
ret.steerRatio = 13.4 # unknown end-to-end spec
ret.steerActuatorDelay = 0.54
tire_stiffness_factor = 0.6371 # hand-tune
ret.mass = 3115. * CV.LB_TO_KG + STD_CARGO_KG
if prius_use_pid:
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[
0.21
], [0.008]]
ret.lateralTuning.pid.kdV = [
1.
] # corolla D times gain in PI values
ret.lateralTuning.pid.kf = 0.00009531750004645412
ret.lateralTuning.pid.newKfTuned = True
else:
ret.lateralTuning.init('indi')
ret.lateralTuning.indi.innerLoopGainV = [3.84]
ret.lateralTuning.indi.outerLoopGainV = [3.0]
ret.lateralTuning.indi.timeConstantV = [
0.1
] if ret.hasZss else [1.0]
ret.lateralTuning.indi.actuatorEffectivenessV = [1.0]
elif candidate in [CAR.RAV4, CAR.RAV4H]:
stop_and_go = True if (candidate in CAR.RAV4H) else False
ret.safetyParam = 73
ret.wheelbase = 2.65
ret.steerRatio = 16.88 # 14.5 is spec end-to-end
tire_stiffness_factor = 0.5533
ret.mass = 3650. * CV.LB_TO_KG + STD_CARGO_KG # mean between normal and hybrid
ret.lateralTuning.init('lqr')
ret.lateralTuning.lqr.scale = 1500.0
ret.lateralTuning.lqr.ki = 0.05
ret.lateralTuning.lqr.a = [0., 1., -0.22619643, 1.21822268]
ret.lateralTuning.lqr.b = [-1.92006585e-04, 3.95603032e-05]
ret.lateralTuning.lqr.c = [1., 0.]
ret.lateralTuning.lqr.k = [-110.73572306, 451.22718255]
ret.lateralTuning.lqr.l = [0.3233671, 0.3185757]
ret.lateralTuning.lqr.dcGain = 0.002237852961363602
elif candidate == CAR.COROLLA:
stop_and_go = False
ret.safetyParam = 88
ret.wheelbase = 2.70
ret.steerRatio = 17.8
tire_stiffness_factor = 0.444 # not optimized yet
ret.mass = 2860. * CV.LB_TO_KG + STD_CARGO_KG # mean between normal and hybrid
ret.lateralTuning.pid.kpBP, ret.lateralTuning.pid.kpV = [[
20, 31
], [0.05, 0.1]] # 45 to 70 mph
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kiV = [[20, 31],
[
0.005,
0.02
]]
ret.lateralTuning.pid.kdBP, ret.lateralTuning.pid.kdV = [[20, 31],
[
0.1,
0.25
]]
ret.lateralTuning.pid.kf = 0.00006908923778520113 # full torque for 20 deg at 80mph means 0.00007818594
ret.steerActuatorDelay = 0.32
ret.lateralTuning.pid.newKfTuned = True
elif candidate == CAR.LEXUS_RX:
stop_and_go = True
ret.safetyParam = 73
ret.wheelbase = 2.79
ret.steerRatio = 14.8
tire_stiffness_factor = 0.5533
ret.mass = 4387. * CV.LB_TO_KG + STD_CARGO_KG
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.6],
[0.05]]
ret.lateralTuning.pid.kf = 0.00006
elif candidate == CAR.LEXUS_RXH:
stop_and_go = True
ret.safetyParam = 73
ret.wheelbase = 2.79
ret.steerRatio = 16. # 14.8 is spec end-to-end
tire_stiffness_factor = 0.444 # not optimized yet
ret.mass = 4481. * CV.LB_TO_KG + STD_CARGO_KG # mean between min and max
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.6],
[0.1]]
ret.lateralTuning.pid.kf = 0.00006 # full torque for 10 deg at 80mph means 0.00007818594
elif candidate == CAR.LEXUS_RX_TSS2:
stop_and_go = True
ret.safetyParam = 73
ret.wheelbase = 2.79
ret.steerRatio = 14.8
tire_stiffness_factor = 0.5533 # not optimized yet
ret.mass = 4387. * CV.LB_TO_KG + STD_CARGO_KG
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.6],
[0.1]]
ret.lateralTuning.pid.kf = 0.00007818594
elif candidate == CAR.LEXUS_RXH_TSS2:
stop_and_go = True
ret.safetyParam = 73
ret.wheelbase = 2.79
ret.steerRatio = 16.0 # 14.8 is spec end-to-end
tire_stiffness_factor = 0.444 # not optimized yet
ret.mass = 4481.0 * CV.LB_TO_KG + STD_CARGO_KG # mean between min and max
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.6],
[0.15]]
ret.lateralTuning.pid.kf = 0.00007818594
elif candidate in [CAR.CHR, CAR.CHRH]:
stop_and_go = True
ret.safetyParam = 73
ret.wheelbase = 2.63906
ret.steerRatio = 13.6
tire_stiffness_factor = 0.7933
ret.mass = 3300. * CV.LB_TO_KG + STD_CARGO_KG
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.723],
[0.0428]]
ret.lateralTuning.pid.kf = 0.00006
elif candidate in [CAR.CAMRY, CAR.CAMRYH]:
stop_and_go = True
ret.safetyParam = 73
ret.wheelbase = 2.82448
ret.steerRatio = 13.7
tire_stiffness_factor = 0.7933
ret.mass = 3400. * CV.LB_TO_KG + STD_CARGO_KG # mean between normal and hybrid
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.6],
[0.1]]
ret.lateralTuning.pid.kf = 0.00006
elif candidate in [CAR.HIGHLANDER_TSS2, CAR.HIGHLANDERH_TSS2]:
stop_and_go = True
ret.safetyParam = 73
ret.wheelbase = 2.84988 # 112.2 in = 2.84988 m
ret.steerRatio = 16.0
tire_stiffness_factor = 0.8
ret.mass = 4700. * CV.LB_TO_KG + STD_CARGO_KG # 4260 + 4-5 people
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[
0.18
], [0.015]] # community tuning
ret.lateralTuning.pid.kf = 0.00012 # community tuning
elif candidate in [CAR.HIGHLANDER, CAR.HIGHLANDERH]:
stop_and_go = True
ret.safetyParam = 73
ret.wheelbase = 2.78
ret.steerRatio = 16.0
tire_stiffness_factor = 0.8
ret.mass = 4607. * CV.LB_TO_KG + STD_CARGO_KG # mean between normal and hybrid limited
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[
0.18
], [0.015]] # community tuning
ret.lateralTuning.pid.kf = 0.00012 # community tuning
elif candidate == CAR.AVALON:
stop_and_go = False
ret.safetyParam = 73
ret.wheelbase = 2.82
ret.steerRatio = 14.8 # Found at https://pressroom.toyota.com/releases/2016+avalon+product+specs.download
tire_stiffness_factor = 0.7983
ret.mass = 3505. * CV.LB_TO_KG + STD_CARGO_KG # mean between normal and hybrid
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.17],
[0.03]]
ret.lateralTuning.pid.kf = 0.00006
elif candidate == CAR.RAV4_TSS2:
stop_and_go = True
ret.safetyParam = 56
ret.wheelbase = 2.68986
ret.steerRatio = 14.3
tire_stiffness_factor = 0.7933
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.15],
[0.05]]
ret.lateralTuning.pid.kdV = [0.68]
ret.mass = 3370. * CV.LB_TO_KG + STD_CARGO_KG
ret.lateralTuning.pid.kf = 0.00004
for fw in car_fw:
if fw.ecu == "eps" and fw.fwVersion == b"8965B42170\x00\x00\x00\x00\x00\x00":
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[
0.6
], [0.1]]
ret.lateralTuning.pid.kf = 0.00007818594
break
if rav4TSS2_use_indi: # Rav4 2020 TSS2 Tune, needs to be verified, based on cgwtuning
ret.lateralTuning.init('indi')
ret.lateralTuning.indi.innerLoopGainBP = [16.7, 25]
ret.lateralTuning.indi.innerLoopGainV = [15, 15]
ret.lateralTuning.indi.outerLoopGainBP = [
8.3, 11.1, 13.9, 16.7, 19.4, 22.2, 25, 30.1, 33.3, 36.1
]
ret.lateralTuning.indi.outerLoopGainV = [
4.7, 6.1, 8.35, 10.5, 12.8, 14.99, 16, 17, 18, 19
]
ret.lateralTuning.indi.timeConstantBP = [
8.3, 11.1, 13.9, 16.7, 19.4, 22.2, 25, 30.1, 33.3, 36.1
]
ret.lateralTuning.indi.timeConstantV = [
1.0, 1.5, 2.0, 2.5, 3.0, 3.5, 4.0, 4.0, 4.0, 4.0
]
ret.lateralTuning.indi.actuatorEffectivenessBP = [16.7, 25]
ret.lateralTuning.indi.actuatorEffectivenessV = [15, 15]
ret.steerActuatorDelay = 0.12
ret.steerRateCost = 0.3
elif candidate == CAR.RAV4H_TSS2:
stop_and_go = True
ret.safetyParam = 56
ret.wheelbase = 2.68986
ret.steerRatio = 14.3
tire_stiffness_factor = 0.7933
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.15],
[0.05]]
ret.lateralTuning.pid.kdV = [0.68]
ret.mass = 3800. * CV.LB_TO_KG + STD_CARGO_KG
ret.lateralTuning.pid.kf = 0.00004
for fw in car_fw:
if fw.ecu == "eps" and fw.fwVersion == b"8965B42170\x00\x00\x00\x00\x00\x00":
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[
0.6
], [0.1]]
ret.lateralTuning.pid.kf = 0.00007818594
break
if rav4TSS2_use_indi: # Rav4 2020 TSS2 Tune, based on cgwtuning, needs to be verified
ret.lateralTuning.init('indi')
ret.lateralTuning.indi.innerLoopGainBP = [16.7, 25]
ret.lateralTuning.indi.innerLoopGainV = [15, 15]
ret.lateralTuning.indi.outerLoopGainBP = [
8.3, 11.1, 13.9, 16.7, 19.4, 22.2, 25, 30.1, 33.3, 36.1
]
ret.lateralTuning.indi.outerLoopGainV = [
4.7, 6.1, 8.35, 10.5, 12.8, 14.99, 16, 17, 18, 19
]
ret.lateralTuning.indi.timeConstantBP = [
8.3, 11.1, 13.9, 16.7, 19.4, 22.2, 25, 30.1, 33.3, 36.1
]
ret.lateralTuning.indi.timeConstantV = [
1.0, 1.5, 2.0, 2.5, 3.0, 3.5, 4.0, 4.0, 4.0, 4.0
]
ret.lateralTuning.indi.actuatorEffectivenessBP = [16.7, 25]
ret.lateralTuning.indi.actuatorEffectivenessV = [15, 15]
ret.steerActuatorDelay = 0.12
ret.steerRateCost = 0.3
elif candidate in [CAR.COROLLA_TSS2, CAR.COROLLAH_TSS2]:
stop_and_go = True
ret.safetyParam = 53
ret.wheelbase = 2.67
ret.steerRatio = 15.33
tire_stiffness_factor = 0.996 # not optimized yet
ret.mass = 3060. * CV.LB_TO_KG + STD_CARGO_KG
if corollaTSS2_use_indi: # birdman6450#7399's Corolla 2020 TSS2 Tune
ret.lateralTuning.init('indi')
ret.lateralTuning.indi.innerLoopGainBP = [18, 22, 26]
ret.lateralTuning.indi.innerLoopGainV = [9, 12, 15]
ret.lateralTuning.indi.outerLoopGainBP = [18, 22, 26]
ret.lateralTuning.indi.outerLoopGainV = [8, 11, 14.99]
ret.lateralTuning.indi.timeConstantBP = [18, 22, 26]
ret.lateralTuning.indi.timeConstantV = [1, 3, 4.5]
ret.lateralTuning.indi.actuatorEffectivenessBP = [18, 22, 26]
ret.lateralTuning.indi.actuatorEffectivenessV = [9, 12, 15]
ret.steerActuatorDelay = 0.42
else:
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[
.028
], [.0012]] #birdman6450#7399's Corolla 2020 PIF Tune
ret.lateralTuning.pid.kdV = [0.]
ret.lateralTuning.pid.kf = 0.000153263811757641
ret.lateralTuning.pid.newKfTuned = True
ret.steerActuatorDelay = 0.48
elif candidate in [CAR.LEXUS_ES_TSS2, CAR.LEXUS_ESH_TSS2]:
stop_and_go = True
ret.safetyParam = 73
ret.wheelbase = 2.8702
ret.steerRatio = 16.0 # not optimized
tire_stiffness_factor = 0.444 # not optimized yet
ret.mass = 3704. * CV.LB_TO_KG + STD_CARGO_KG
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.6],
[0.1]]
ret.lateralTuning.pid.kf = 0.00007818594
elif candidate == CAR.SIENNA:
stop_and_go = True
ret.safetyParam = 73
ret.wheelbase = 3.03
ret.steerRatio = 15.5
tire_stiffness_factor = 0.444
ret.mass = 4590. * CV.LB_TO_KG + STD_CARGO_KG
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.19],
[0.02]]
ret.lateralTuning.pid.kf = 0.00007818594
elif candidate == CAR.LEXUS_IS:
stop_and_go = False
ret.safetyParam = 77
ret.wheelbase = 2.79908
ret.steerRatio = 13.3
tire_stiffness_factor = 0.444
ret.mass = 3736.8 * CV.LB_TO_KG + STD_CARGO_KG
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.3],
[0.05]]
ret.lateralTuning.pid.kf = 0.00006
elif candidate == CAR.LEXUS_CTH:
stop_and_go = True
ret.safetyParam = 100
ret.wheelbase = 2.60
ret.steerRatio = 18.6
tire_stiffness_factor = 0.517
ret.mass = 3108 * CV.LB_TO_KG + STD_CARGO_KG # mean between min and max
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.3],
[0.05]]
ret.lateralTuning.pid.kf = 0.00007
elif candidate in [CAR.LEXUS_NXH, CAR.LEXUS_NX]:
stop_and_go = True
ret.safetyParam = 73
ret.wheelbase = 2.66
ret.steerRatio = 14.7
tire_stiffness_factor = 0.444 # not optimized yet
ret.mass = 4070 * CV.LB_TO_KG + STD_CARGO_KG
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.6],
[0.1]]
ret.lateralTuning.pid.kf = 0.00006
elif candidate == CAR.PRIUS_TSS2:
stop_and_go = True
ret.safetyParam = 73
ret.wheelbase = 2.70002 # from toyota online sepc.
ret.steerRatio = 13.4 # True steerRation from older prius
tire_stiffness_factor = 0.6371 # hand-tune
ret.mass = 3115. * CV.LB_TO_KG + STD_CARGO_KG
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.35],
[0.15]]
ret.lateralTuning.pid.kf = 0.00007818594
ret.centerToFront = ret.wheelbase * 0.44
# TODO: get actual value, for now starting with reasonable value for
# civic and scaling by mass and wheelbase
ret.rotationalInertia = scale_rot_inertia(ret.mass, ret.wheelbase)
# TODO: start from empirically derived lateral slip stiffness for the civic and scale by
# mass and CG position, so all cars will have approximately similar dyn behaviors
ret.tireStiffnessFront, ret.tireStiffnessRear = scale_tire_stiffness(
ret.mass,
ret.wheelbase,
ret.centerToFront,
tire_stiffness_factor=tire_stiffness_factor)
ret.enableCamera = is_ecu_disconnected(fingerprint[0], FINGERPRINTS,
ECU_FINGERPRINT, candidate,
Ecu.fwdCamera) or has_relay
# Detect smartDSU, which intercepts ACC_CMD from the DSU allowing openpilot to send it
smartDsu = 0x2FF in fingerprint[0]
# In TSS2 cars the camera does long control
ret.enableDsu = is_ecu_disconnected(
fingerprint[0], FINGERPRINTS, ECU_FINGERPRINT, candidate,
Ecu.dsu) and candidate not in TSS2_CAR
ret.enableGasInterceptor = 0x201 in fingerprint[0]
# if the smartDSU is detected, openpilot can send ACC_CMD (and the smartDSU will block it from the DSU) or not (the DSU is "connected")
ret.openpilotLongitudinalControl = ret.enableCamera and (
smartDsu or ret.enableDsu or candidate in TSS2_CAR)
cloudlog.warning("ECU Camera Simulated: %r", ret.enableCamera)
cloudlog.warning("ECU DSU Simulated: %r", ret.enableDsu)
cloudlog.warning("ECU Gas Interceptor: %r", ret.enableGasInterceptor)
# min speed to enable ACC. if car can do stop and go, then set enabling speed
# to a negative value, so it won't matter.
ret.minEnableSpeed = -1. if (
stop_and_go or ret.enableGasInterceptor) else MIN_ACC_SPEED
# removing the DSU disables AEB and it's considered a community maintained feature
# intercepting the DSU is a community feature since it requires unofficial hardware
ret.communityFeature = ret.enableGasInterceptor or ret.enableDsu or smartDsu
ret.longitudinalTuning.deadzoneBP = [0., 9.]
ret.longitudinalTuning.deadzoneV = [0., .15]
ret.longitudinalTuning.kpBP = [0., 5., 35.]
ret.longitudinalTuning.kiBP = [0., 35.]
ret.gasMaxBP = [0.]
ret.gasMaxV = [0.5]
ret.longitudinalTuning.kpV = [3.6, 2.4, 1.5]
ret.longitudinalTuning.kiV = [0.54, 0.36]
if ret.enableGasInterceptor:
ret.gasMaxBP = [0., MIN_ACC_SPEED]
ret.gasMaxV = [0.2, 0.5]
return ret
def get_params(candidate, fingerprint, vin="", is_panda_black=False):
ret = car.CarParams.new_message()
ret.carName = "chrysler"
ret.carFingerprint = candidate
ret.carVin = vin
ret.isPandaBlack = is_panda_black
ret.safetyModel = car.CarParams.SafetyModel.chrysler
# pedal
ret.enableCruise = True
# Speed conversion: 20, 45 mph
ret.wheelbase = 3.089 # in meters for Pacifica Hybrid 2017
ret.steerRatio = 16.2 # Pacifica Hybrid 2017
ret.mass = 2858. + STD_CARGO_KG # kg curb weight Pacifica Hybrid 2017
ret.lateralTuning.pid.kpBP, ret.lateralTuning.pid.kiBP = [[9., 20.],
[9., 20.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.15, 0.30],
[0.03, 0.05]]
ret.lateralTuning.pid.kf = 0.00006 # full torque for 10 deg at 80mph means 0.00007818594
ret.steerActuatorDelay = 0.1
ret.steerRateCost = 0.7
if candidate in (CAR.JEEP_CHEROKEE_2017, CAR.JEEP_CHEROKEE_2018,
CAR.JEEP_CHEROKEE_2019):
ret.wheelbase = 2.91 # in meters
ret.steerRatio = 12.7
ret.steerActuatorDelay = 0.2 # in seconds
ret.centerToFront = ret.wheelbase * 0.44
ret.minSteerSpeed = 3.8 # m/s
ret.minEnableSpeed = -1. # enable is done by stock ACC, so ignore this
if candidate in (CAR.PACIFICA_2019_HYBRID, CAR.JEEP_CHEROKEE_2019):
ret.minSteerSpeed = 17.5 # m/s 17 on the way up, 13 on the way down once engaged.
# TODO allow 2019 cars to steer down to 13 m/s if already engaged.
# TODO: get actual value, for now starting with reasonable value for
# civic and scaling by mass and wheelbase
ret.rotationalInertia = scale_rot_inertia(ret.mass, ret.wheelbase)
# TODO: start from empirically derived lateral slip stiffness for the civic and scale by
# mass and CG position, so all cars will have approximately similar dyn behaviors
ret.tireStiffnessFront, ret.tireStiffnessRear = scale_tire_stiffness(
ret.mass, ret.wheelbase, ret.centerToFront)
# no rear steering, at least on the listed cars above
ret.steerRatioRear = 0.
# steer, gas, brake limitations VS speed
ret.steerMaxBP = [16. * CV.KPH_TO_MS,
45. * CV.KPH_TO_MS] # breakpoints at 1 and 40 kph
ret.steerMaxV = [1., 1.] # 2/3rd torque allowed above 45 kph
ret.gasMaxBP = [0.]
ret.gasMaxV = [0.5]
ret.brakeMaxBP = [5., 20.]
ret.brakeMaxV = [1., 0.8]
ret.enableCamera = not check_ecu_msgs(fingerprint,
ECU.CAM) or is_panda_black
print("ECU Camera Simulated: {0}".format(ret.enableCamera))
ret.openpilotLongitudinalControl = False
ret.steerLimitAlert = True
ret.stoppingControl = False
ret.startAccel = 0.0
ret.longitudinalTuning.deadzoneBP = [0., 9.]
ret.longitudinalTuning.deadzoneV = [0., .15]
ret.longitudinalTuning.kpBP = [0., 5., 35.]
ret.longitudinalTuning.kpV = [3.6, 2.4, 1.5]
ret.longitudinalTuning.kiBP = [0., 35.]
ret.longitudinalTuning.kiV = [0.54, 0.36]
return ret
def get_params(candidate,
fingerprint=gen_empty_fingerprint(),
has_relay=False,
car_fw=[]):
ret = car.CarParams.new_message()
ret.carName = "hyundai"
ret.carFingerprint = candidate
ret.isPandaBlack = has_relay
ret.safetyModel = car.CarParams.SafetyModel.hyundai
ret.enableCruise = True # stock acc
ret.steerActuatorDelay = 0.1 # Default delay
ret.steerRateCost = 0.5
ret.steerLimitTimer = 0.8
tire_stiffness_factor = 1.
if candidate in [CAR.SANTA_FE, CAR.SANTA_FE_1]:
ret.lateralTuning.pid.kf = 0.00005
ret.mass = 3982. * CV.LB_TO_KG + STD_CARGO_KG
ret.wheelbase = 2.766
# Values from optimizer
ret.steerRatio = 16.55 # 13.8 is spec end-to-end
tire_stiffness_factor = 0.82
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[
9., 22.
], [9., 22.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[
0.2, 0.35
], [0.05, 0.09]]
ret.minSteerSpeed = 0.
elif candidate == CAR.KIA_SORENTO:
ret.lateralTuning.pid.kf = 0.00005
ret.mass = 1985. + STD_CARGO_KG
ret.wheelbase = 2.78
ret.steerRatio = 14.4 * 1.1 # 10% higher at the center seems reasonable
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.25],
[0.05]]
ret.minSteerSpeed = 0.
elif candidate in [CAR.ELANTRA, CAR.ELANTRA_GT_I30]:
ret.lateralTuning.pid.kf = 0.00006
ret.mass = 1275. + STD_CARGO_KG
ret.wheelbase = 2.7
ret.steerRatio = 13.73 #Spec
tire_stiffness_factor = 0.385
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.25],
[0.05]]
ret.minSteerSpeed = 32 * CV.MPH_TO_MS
elif candidate == CAR.GENESIS:
ret.lateralTuning.pid.kf = 0.00005
ret.mass = 2060. + STD_CARGO_KG
ret.wheelbase = 3.01
ret.steerRatio = 16.5
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.16],
[0.01]]
ret.minSteerSpeed = 60 * CV.KPH_TO_MS
elif candidate in [CAR.GENESIS_G90, CAR.GENESIS_G80]:
ret.mass = 2200
ret.wheelbase = 3.15
ret.steerRatio = 12.069
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.16],
[0.01]]
elif candidate == CAR.SONATA_LF_TURBO:
ret.mass = 1590. + STD_CARGO_KG
ret.wheelbase = 2.805
tire_stiffness_factor = 0.65
ret.lateralTuning.init('lqr')
ret.lateralTuning.lqr.scale = 1680.0
ret.lateralTuning.lqr.ki = 0.01
ret.lateralTuning.lqr.dcGain = 0.002858
ret.lateralTuning.lqr.a = [0., 1., -0.22619643, 1.21822268]
ret.lateralTuning.lqr.b = [-1.92006585e-04, 3.95603032e-05]
ret.lateralTuning.lqr.c = [1., 0.]
ret.lateralTuning.lqr.k = [-110.73572306, 451.22718255]
ret.lateralTuning.lqr.l = [0.3233671, 0.3185757]
ret.steerRatio = 13.8
ret.steerActuatorDelay = 0.20
ret.steerLimitTimer = 1.88
ret.steerRateCost = 0.555
ret.steerMaxBP = [0.]
ret.steerMaxV = [1.5]
elif candidate in [CAR.KIA_OPTIMA, CAR.KIA_OPTIMA_H]:
ret.lateralTuning.pid.kf = 0.00005
ret.mass = 3558. * CV.LB_TO_KG
ret.wheelbase = 2.80
ret.steerRatio = 13.75
tire_stiffness_factor = 0.5
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.25],
[0.05]]
elif candidate == CAR.KIA_STINGER:
ret.lateralTuning.pid.kf = 0.00005
ret.mass = 1825. + STD_CARGO_KG
ret.wheelbase = 2.78
ret.steerRatio = 14.4 * 1.15 # 15% higher at the center seems reasonable
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.25],
[0.05]]
ret.minSteerSpeed = 0.
elif candidate == CAR.KONA:
ret.lateralTuning.pid.kf = 0.00006
ret.mass = 1275. + STD_CARGO_KG
ret.wheelbase = 2.7
ret.steerRatio = 13.73 #Spec
tire_stiffness_factor = 0.385
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.25],
[0.05]]
elif candidate == CAR.IONIQ:
ret.lateralTuning.pid.kf = 0.00004
ret.mass = 1275. + STD_CARGO_KG
ret.wheelbase = 2.7
ret.steerRatio = 10.1 #Spec
tire_stiffness_factor = 0.385
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.13],
[0.009]]
ret.steerRateCost = 0.8
elif candidate == CAR.KONA_EV:
ret.lateralTuning.pid.kf = 0.00006
ret.mass = 1685. + STD_CARGO_KG
ret.wheelbase = 2.7
ret.steerRatio = 13.73 #Spec
tire_stiffness_factor = 0.385
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.25],
[0.05]]
elif candidate == CAR.IONIQ_EV_LTD:
ret.lateralTuning.pid.kf = 0.00004
ret.mass = 1490. + STD_CARGO_KG #weight per hyundai site https://www.hyundaiusa.com/ioniq-electric/specifications.aspx
ret.wheelbase = 2.7
ret.steerRatio = 10.1 #Tuned
tire_stiffness_factor = 0.385
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.13],
[0.009]]
ret.minSteerSpeed = 32 * CV.MPH_TO_MS
ret.steerRateCost = 0.8
elif candidate in [CAR.KIA_FORTE, CAR.KIA_FORTE_KOUP_2013]:
ret.lateralTuning.pid.kf = 0.00005
ret.mass = 3558. * CV.LB_TO_KG
ret.wheelbase = 2.80
ret.steerRatio = 13.75
tire_stiffness_factor = 0.5
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.25],
[0.05]]
elif candidate == CAR.KIA_SPORTAGE:
ret.lateralTuning.pid.kf = 0.00005
ret.mass = 1985. + STD_CARGO_KG
ret.wheelbase = 2.78
ret.steerRatio = 14.4 * 1.1 # 10% higher at the center seems reasonable
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.25],
[0.05]]
ret.minSteerSpeed = 0.
ret.minEnableSpeed = -1. # enable is done by stock ACC, so ignore this
ret.longitudinalTuning.kpBP = [0., 5., 35.]
ret.longitudinalTuning.kpV = [1.2, 0.8, 0.5]
ret.longitudinalTuning.kiBP = [0., 35.]
ret.longitudinalTuning.kiV = [0.18, 0.12]
ret.longitudinalTuning.deadzoneBP = [0.]
ret.longitudinalTuning.deadzoneV = [0.]
ret.centerToFront = ret.wheelbase * 0.4
# TODO: get actual value, for now starting with reasonable value for
# civic and scaling by mass and wheelbase
ret.rotationalInertia = scale_rot_inertia(ret.mass, ret.wheelbase)
# TODO: start from empirically derived lateral slip stiffness for the civic and scale by
# mass and CG position, so all cars will have approximately similar dyn behaviors
ret.tireStiffnessFront, ret.tireStiffnessRear = scale_tire_stiffness(
ret.mass,
ret.wheelbase,
ret.centerToFront,
tire_stiffness_factor=tire_stiffness_factor)
# no rear steering, at least on the listed cars above
ret.steerRatioRear = 0.
ret.steerControlType = car.CarParams.SteerControlType.torque
# steer, gas, brake limitations VS speed
ret.steerMaxBP = [0.]
ret.steerMaxV = [1.0]
ret.gasMaxBP = [0.]
ret.gasMaxV = [0.5]
ret.brakeMaxBP = [0., 20.]
ret.brakeMaxV = [1., 0.8]
ret.enableCamera = is_ecu_disconnected(fingerprint[0], FINGERPRINTS,
ECU_FINGERPRINT, candidate,
Ecu.fwdCamera) or has_relay
ret.enableCamera = True
ret.openpilotLongitudinalControl = True
#ret.openpilotLongitudinalControl = False
ret.stoppingControl = True
ret.startAccel = 0.0
# ignore CAN2 address if L-CAN on the same BUS
ret.mdpsBus = 1 if 593 in fingerprint[1] and 1296 not in fingerprint[
1] else 0
ret.sasBus = 1 if 688 in fingerprint[1] and 1296 not in fingerprint[
1] else 0
ret.sccBus = 0 if 1056 in fingerprint[0] else 1 if 1056 in fingerprint[1] and 1296 not in fingerprint[1] \
else 2 if 1056 in fingerprint[2] else -1
ret.autoLcaEnabled = 0
return ret
def get_params(candidate,
fingerprint=gen_empty_fingerprint(),
car_fw=None):
ret = CarInterfaceBase.get_std_params(candidate, fingerprint)
ret.carName = "volkswagen"
ret.communityFeature = True
ret.radarOffCan = True
if True: # pylint: disable=using-constant-test
# Set global MQB parameters
ret.safetyModel = car.CarParams.SafetyModel.volkswagen
ret.enableBsm = 0x30F in fingerprint[0]
if 0xAD in fingerprint[0]: # Getriebe_11
ret.transmissionType = TransmissionType.automatic
elif 0x187 in fingerprint[0]: # EV_Gearshift
ret.transmissionType = TransmissionType.direct
else: # No trans message at all, must be a true stick-shift manual
ret.transmissionType = TransmissionType.manual
# Global tuning defaults, can be overridden per-vehicle
ret.steerActuatorDelay = 0.05
ret.steerRateCost = 1.0
ret.steerLimitTimer = 0.4
ret.steerRatio = 15.6 # Let the params learner figure this out
tire_stiffness_factor = 1.0 # Let the params learner figure this out
ret.lateralTuning.pid.kpBP = [0.]
ret.lateralTuning.pid.kiBP = [0.]
ret.lateralTuning.pid.kf = 0.00006
ret.lateralTuning.pid.kpV = [0.6]
ret.lateralTuning.pid.kiV = [0.2]
# Per-chassis tuning values, override tuning defaults here if desired
if candidate == CAR.ATLAS_MK1:
ret.mass = 2011 + STD_CARGO_KG
ret.wheelbase = 2.98
elif candidate == CAR.GOLF_MK7:
ret.mass = 1397 + STD_CARGO_KG
ret.wheelbase = 2.62
elif candidate == CAR.JETTA_MK7:
ret.mass = 1328 + STD_CARGO_KG
ret.wheelbase = 2.71
elif candidate == CAR.PASSAT_MK8:
ret.mass = 1551 + STD_CARGO_KG
ret.wheelbase = 2.79
elif candidate == CAR.TIGUAN_MK2:
ret.mass = 1715 + STD_CARGO_KG
ret.wheelbase = 2.74
elif candidate == CAR.TOURAN_MK2:
ret.mass = 1516 + STD_CARGO_KG
ret.wheelbase = 2.79
elif candidate == CAR.AUDI_A3_MK3:
ret.mass = 1335 + STD_CARGO_KG
ret.wheelbase = 2.61
elif candidate == CAR.AUDI_Q2_MK1:
ret.mass = 1205 + STD_CARGO_KG
ret.wheelbase = 2.61
elif candidate == CAR.SEAT_ATECA_MK1:
ret.mass = 1900 + STD_CARGO_KG
ret.wheelbase = 2.64
elif candidate == CAR.SEAT_LEON_MK3:
ret.mass = 1227 + STD_CARGO_KG
ret.wheelbase = 2.64
elif candidate == CAR.SKODA_KODIAQ_MK1:
ret.mass = 1569 + STD_CARGO_KG
ret.wheelbase = 2.79
elif candidate == CAR.SKODA_OCTAVIA_MK3:
ret.mass = 1388 + STD_CARGO_KG
ret.wheelbase = 2.68
elif candidate == CAR.SKODA_SCALA_MK1:
ret.mass = 1192 + STD_CARGO_KG
ret.wheelbase = 2.65
elif candidate == CAR.SKODA_SUPERB_MK3:
ret.mass = 1505 + STD_CARGO_KG
ret.wheelbase = 2.84
# TODO: get actual value, for now starting with reasonable value for
# civic and scaling by mass and wheelbase
ret.rotationalInertia = scale_rot_inertia(ret.mass, ret.wheelbase)
# TODO: start from empirically derived lateral slip stiffness for the civic and scale by
# mass and CG position, so all cars will have approximately similar dyn behaviors
ret.centerToFront = ret.wheelbase * 0.45
ret.tireStiffnessFront, ret.tireStiffnessRear = scale_tire_stiffness(
ret.mass,
ret.wheelbase,
ret.centerToFront,
tire_stiffness_factor=tire_stiffness_factor)
return ret
def get_params(candidate,
fingerprint=gen_empty_fingerprint(),
car_fw=None):
ret = CarInterfaceBase.get_std_params(candidate, fingerprint)
ret.carName = "gm"
ret.safetyModel = car.CarParams.SafetyModel.gm
ret.pcmCruise = False # stock cruise control is kept off
ret.stoppingControl = True
ret.startAccel = 0.8
ret.steerLimitTimer = 0.4
ret.radarTimeStep = 1 / 15 # GM radar runs at 15Hz instead of standard 20Hz
# GM port is a community feature
# TODO: make a port that uses a car harness and it only intercepts the camera
ret.communityFeature = True
# Presence of a camera on the object bus is ok.
# Have to go to read_only if ASCM is online (ACC-enabled cars),
# or camera is on powertrain bus (LKA cars without ACC).
ret.openpilotLongitudinalControl = True
tire_stiffness_factor = 0.444 # not optimized yet
# Default lateral controller params.
ret.minSteerSpeed = 7 * CV.MPH_TO_MS
ret.lateralTuning.pid.kpBP = [0.]
ret.lateralTuning.pid.kpV = [0.2]
ret.lateralTuning.pid.kiBP = [0.]
ret.lateralTuning.pid.kiV = [0.]
ret.lateralTuning.pid.kf = 0.00004 # full torque for 20 deg at 80mph means 0.00007818594
ret.steerRateCost = 1.0
ret.steerActuatorDelay = 0.1 # Default delay, not measured yet
# Default longitudinal controller params.
ret.longitudinalTuning.kpBP = [5., 35.]
ret.longitudinalTuning.kpV = [2.4, 1.5]
ret.longitudinalTuning.kiBP = [0.]
ret.longitudinalTuning.kiV = [0.36]
if candidate == CAR.VOLT:
# supports stop and go, but initial engage must be above 18mph (which include conservatism)
ret.minEnableSpeed = -1
ret.mass = 1607. + STD_CARGO_KG
ret.wheelbase = 2.69
ret.steerRatio = 17.7 # Stock 15.7, LiveParameters
ret.steerRateCost = 0.7
tire_stiffness_factor = 0.469 # Stock Michelin Energy Saver A/S, LiveParameters
ret.steerRatioRear = 0.
ret.centerToFront = 0.45 * ret.wheelbase # from Volt Gen 1
ret.lateralTuning.pid.kpBP = [0., 40.]
ret.lateralTuning.pid.kpV = [0., 0.17]
ret.lateralTuning.pid.kiBP = [
i * CV.MPH_TO_MS for i in [0., 15., 55., 80.]
]
ret.lateralTuning.pid.kiV = [0., .02, .01, .002]
ret.lateralTuning.pid.kf = 1. # !!! ONLY for sigmoid feedforward !!!
ret.steerActuatorDelay = 0.2
# Only tuned to reduce oscillations. TODO.
ret.longitudinalTuning.kpV = [1.6, 1.25]
ret.longitudinalTuning.kiV = [0.25]
elif candidate == CAR.MALIBU:
# supports stop and go, but initial engage must be above 18mph (which include conservatism)
ret.minEnableSpeed = 18 * CV.MPH_TO_MS
ret.mass = 1496. + STD_CARGO_KG
ret.wheelbase = 2.83
ret.steerRatio = 15.8
ret.steerRatioRear = 0.
ret.centerToFront = ret.wheelbase * 0.4 # wild guess
elif candidate == CAR.HOLDEN_ASTRA:
ret.mass = 1363. + STD_CARGO_KG
ret.wheelbase = 2.662
# Remaining parameters copied from Volt for now
ret.centerToFront = ret.wheelbase * 0.4
ret.minEnableSpeed = 18 * CV.MPH_TO_MS
ret.steerRatio = 15.7
ret.steerRatioRear = 0.
elif candidate == CAR.ACADIA:
ret.minEnableSpeed = -1. # engage speed is decided by pcm
ret.mass = 4353 * CV.LB_TO_KG + STD_CARGO_KG # from vin decoder
ret.wheelbase = 2.86 # Confirmed from vin decoder
ret.steerRatio = 14.4 # end to end is 13.46 - seems to be undocumented, using JYoung value
ret.steerRatioRear = 0.
ret.centerToFront = ret.wheelbase * 0.4
ret.lateralTuning.pid.kf = 1. # get_steer_feedforward_acadia()
ret.longitudinalTuning.kpV = [1.9, 1.5]
elif candidate == CAR.BUICK_REGAL:
ret.minEnableSpeed = 18 * CV.MPH_TO_MS
ret.mass = 3779. * CV.LB_TO_KG + STD_CARGO_KG # (3849+3708)/2
ret.wheelbase = 2.83 # 111.4 inches in meters
ret.steerRatio = 14.4 # guess for tourx
ret.steerRatioRear = 0.
ret.centerToFront = ret.wheelbase * 0.4 # guess for tourx
elif candidate == CAR.CADILLAC_ATS:
ret.minEnableSpeed = 18 * CV.MPH_TO_MS
ret.mass = 1601. + STD_CARGO_KG
ret.wheelbase = 2.78
ret.steerRatio = 15.3
ret.steerRatioRear = 0.
ret.centerToFront = ret.wheelbase * 0.49
elif candidate == CAR.ESCALADE:
ret.minEnableSpeed = -1. # engage speed is decided by pcm
ret.mass = 2645. + STD_CARGO_KG
ret.wheelbase = 2.95
ret.steerRatio = 17.3 # end to end is 13.46
ret.steerRatioRear = 0.
ret.centerToFront = ret.wheelbase * 0.4
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[
10., 41.0
], [10., 41.0]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[
0.13, 0.24
], [0.01, 0.02]]
ret.lateralTuning.pid.kf = 0.000045
tire_stiffness_factor = 1.0
elif candidate == CAR.ESCALADE_ESV:
ret.minEnableSpeed = -1. # engage speed is decided by pcm
ret.mass = 2739. + STD_CARGO_KG
ret.wheelbase = 3.302
ret.steerRatio = 17.3
ret.centerToFront = ret.wheelbase * 0.49
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[
10., 41.0
], [10., 41.0]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[
0.13, 0.24
], [0.01, 0.02]]
ret.lateralTuning.pid.kf = 0.000045
tire_stiffness_factor = 1.0
# TODO: get actual value, for now starting with reasonable value for
# civic and scaling by mass and wheelbase
ret.rotationalInertia = scale_rot_inertia(ret.mass, ret.wheelbase)
# TODO: start from empirically derived lateral slip stiffness for the civic and scale by
# mass and CG position, so all cars will have approximately similar dyn behaviors
ret.tireStiffnessFront, ret.tireStiffnessRear = scale_tire_stiffness(
ret.mass,
ret.wheelbase,
ret.centerToFront,
tire_stiffness_factor=tire_stiffness_factor)
return ret
def get_params(candidate,
fingerprint=gen_empty_fingerprint(),
vin="",
has_relay=False):
ret = car.CarParams.new_message()
ret.carName = "hyundai"
ret.carFingerprint = candidate
ret.carVin = vin
ret.isPandaBlack = has_relay
ret.safetyModel = car.CarParams.SafetyModel.hyundai
ret.enableCruise = True # stock acc
ret.steerActuatorDelay = 0.1 # Default delay
ret.steerRateCost = 0.5
ret.steerLimitTimer = 0.8
tire_stiffness_factor = 1.
if candidate in [CAR.SANTA_FE, CAR.SANTA_FE_1]:
ret.lateralTuning.pid.kf = 0.00005
ret.mass = 3982. * CV.LB_TO_KG + STD_CARGO_KG
ret.wheelbase = 2.766
# Values from optimizer
ret.steerRatio = 16.55 # 13.8 is spec end-to-end
tire_stiffness_factor = 0.82
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[
9., 22.
], [9., 22.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[
0.2, 0.35
], [0.05, 0.09]]
ret.minSteerSpeed = 0.
elif candidate == CAR.KIA_SORENTO:
ret.lateralTuning.pid.kf = 0.00005
ret.mass = 1985. + STD_CARGO_KG
ret.wheelbase = 2.78
ret.steerRatio = 14.4 * 1.1 # 10% higher at the center seems reasonable
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.25],
[0.05]]
ret.minSteerSpeed = 0.
elif candidate in [CAR.ELANTRA, CAR.ELANTRA_GT_I30]:
ret.lateralTuning.pid.kf = 0.00006
ret.mass = 1275. + STD_CARGO_KG
ret.wheelbase = 2.7
ret.steerRatio = 13.73 #Spec
tire_stiffness_factor = 0.385
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.25],
[0.05]]
ret.minSteerSpeed = 32 * CV.MPH_TO_MS
elif candidate == CAR.GENESIS:
ret.lateralTuning.pid.kf = 0.00005
ret.mass = 2060. + STD_CARGO_KG
ret.wheelbase = 3.01
ret.steerRatio = 16.5
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.16],
[0.01]]
ret.minSteerSpeed = 60 * CV.KPH_TO_MS
elif candidate in [CAR.GENESIS_G90, CAR.GENESIS_G80]:
ret.mass = 2200
ret.wheelbase = 3.15
ret.steerRatio = 12.069
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.16],
[0.01]]
elif candidate in [CAR.KIA_OPTIMA, CAR.KIA_OPTIMA_H]:
ret.lateralTuning.pid.kf = 0.00005
ret.mass = 3558. * CV.LB_TO_KG
ret.wheelbase = 2.80
ret.steerRatio = 13.75
tire_stiffness_factor = 0.5
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.25],
[0.05]]
elif candidate == CAR.KIA_STINGER:
ret.lateralTuning.pid.kf = 0.00005
ret.mass = 1825. + STD_CARGO_KG
ret.wheelbase = 2.78
ret.steerRatio = 14.4 * 1.15 # 15% higher at the center seems reasonable
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.25],
[0.05]]
ret.minSteerSpeed = 0.
elif candidate == CAR.KONA:
ret.lateralTuning.pid.kf = 0.00006
ret.mass = 1275. + STD_CARGO_KG
ret.wheelbase = 2.7
ret.steerRatio = 13.73 #Spec
tire_stiffness_factor = 0.385
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.25],
[0.05]]
elif candidate == CAR.IONIQ:
ret.lateralTuning.pid.kf = 0.00006
ret.mass = 1275. + STD_CARGO_KG
ret.wheelbase = 2.7
ret.steerRatio = 13.73 #Spec
tire_stiffness_factor = 0.385
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.25],
[0.05]]
elif candidate == CAR.IONIQ_EV_LTD:
ret.lateralTuning.pid.kf = 0.00006
ret.mass = 1490. + STD_CARGO_KG # weight per hyundai site https://www.hyundaiusa.com/ioniq-electric/specifications.aspx
ret.wheelbase = 2.7 # meters, per above Hyundai link
ret.steerRatio = 13.9 # per Hyundai PDF http://resources.mynewsdesk.com/image/upload/t_attachment/t29mrnj5qhmaghpegang.pdf
tire_stiffness_factor = 0.68 # From TK
ret.lateralTuning.pid.kpBP, ret.lateralTuning.pid.kiBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.18],
[0.05]]
ret.minSteerSpeed = 32 * CV.MPH_TO_MS
elif candidate == CAR.KIA_FORTE:
ret.lateralTuning.pid.kf = 0.00005
ret.mass = 3792. * CV.LB_TO_KG
ret.wheelbase = 2.70
ret.steerRatio = 12.7
tire_stiffness_factor = 0.5
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.25],
[0.05]]
ret.minEnableSpeed = -1. # enable is done by stock ACC, so ignore this
ret.longitudinalTuning.kpBP = [0., 5., 35.]
ret.longitudinalTuning.kpV = [2.6, 1.8, 0.9]
ret.longitudinalTuning.kiBP = [0., 35.]
ret.longitudinalTuning.kiV = [0.26, 0.18]
ret.longitudinalTuning.deadzoneBP = [0.]
ret.longitudinalTuning.deadzoneV = [0.]
ret.centerToFront = ret.wheelbase * 0.4
# TODO: get actual value, for now starting with reasonable value for
# civic and scaling by mass and wheelbase
ret.rotationalInertia = scale_rot_inertia(ret.mass, ret.wheelbase)
# TODO: start from empirically derived lateral slip stiffness for the civic and scale by
# mass and CG position, so all cars will have approximately similar dyn behaviors
ret.tireStiffnessFront, ret.tireStiffnessRear = scale_tire_stiffness(
ret.mass,
ret.wheelbase,
ret.centerToFront,
tire_stiffness_factor=tire_stiffness_factor)
# no rear steering, at least on the listed cars above
ret.steerRatioRear = 0.
ret.steerControlType = car.CarParams.SteerControlType.torque
# steer, gas, brake limitations VS speed
ret.steerMaxBP = [0.]
ret.steerMaxV = [1.0]
ret.gasMaxBP = [0.]
ret.gasMaxV = [0.5]
ret.brakeMaxBP = [0.]
ret.brakeMaxV = [1.]
ret.enableCamera = is_ecu_disconnected(fingerprint[0], FINGERPRINTS,
ECU_FINGERPRINT, candidate,
ECU.CAM) or has_relay
ret.openpilotLongitudinalControl = True
ret.stoppingControl = True
ret.startAccel = 0.0
ret.mdpsBus = 1 if 593 in fingerprint[1] else 0
ret.sasBus = 1 if 688 in fingerprint[1] else 0
ret.sccBus = 0 if 1056 in fingerprint[0] else 1 if 1056 in fingerprint[
1] else 2 if 1056 in fingerprint[2] else -1
return ret
def get_params(candidate,
fingerprint=gen_empty_fingerprint(),
has_relay=False,
car_fw=[]): # pylint: disable=dangerous-default-value
ret = CarInterfaceBase.get_std_params(candidate, fingerprint,
has_relay)
ret.carName = "subaru"
ret.radarOffCan = True
ret.safetyModel = car.CarParams.SafetyModel.subaru
# Subaru port is a community feature, since we don't own one to test
ret.communityFeature = True
# force openpilot to fake the stock camera, since car harness is not supported yet and old style giraffe (with switches)
# was never released
ret.enableCamera = True
ret.steerRateCost = 0.7
ret.steerLimitTimer = 0.4
if candidate == CAR.ASCENT:
ret.mass = 2031. + STD_CARGO_KG
ret.wheelbase = 2.89
ret.centerToFront = ret.wheelbase * 0.5
ret.steerRatio = 13.5
ret.steerActuatorDelay = 0.3 # end-to-end angle controller
ret.lateralTuning.pid.kf = 0.00003
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[
0., 20.
], [0., 20.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[
0.0025, 0.1
], [0.00025, 0.01]]
if candidate == CAR.IMPREZA:
ret.mass = 1568. + STD_CARGO_KG
ret.wheelbase = 2.67
ret.centerToFront = ret.wheelbase * 0.5
ret.steerRatio = 15
ret.steerActuatorDelay = 0.4 # end-to-end angle controller
ret.lateralTuning.pid.kf = 0.00005
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[
0., 20.
], [0., 20.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.2, 0.3],
[
0.02,
0.03
]]
if candidate == CAR.FORESTER:
ret.mass = 1568. + STD_CARGO_KG
ret.wheelbase = 2.67
ret.centerToFront = ret.wheelbase * 0.5
ret.steerRatio = 17 # learned, 14 stock
ret.steerActuatorDelay = 0.1
ret.lateralTuning.pid.kf = 0.000038
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[
0., 14., 23.
], [0., 14., 23.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[
0.01, 0.065, 0.2
], [0.001, 0.015, 0.025]]
# TODO: get actual value, for now starting with reasonable value for
# civic and scaling by mass and wheelbase
ret.rotationalInertia = scale_rot_inertia(ret.mass, ret.wheelbase)
# TODO: start from empirically derived lateral slip stiffness for the civic and scale by
# mass and CG position, so all cars will have approximately similar dyn behaviors
ret.tireStiffnessFront, ret.tireStiffnessRear = scale_tire_stiffness(
ret.mass, ret.wheelbase, ret.centerToFront)
return ret
def get_params(candidate,
fingerprint=gen_empty_fingerprint(),
has_relay=False,
car_fw=[]):
global ATOMC
ret = CarInterfaceBase.get_std_params(candidate, fingerprint,
has_relay)
ret.carName = "hyundai"
ret.safetyModel = car.CarParams.SafetyModel.hyundai
ret.radarOffCan = False #False(선행차우선) #True(차선우선) #선행차량 인식 마크 유무.
ret.radarOffCan = bool(params.get('OpkrTraceSet') != b'1')
ret.lateralsRatom.learnerParams = int(params.get('OpkrEnableLearner'))
# Hyundai port is a community feature for now
ret.communityFeature = False #True
ret.longcontrolEnabled = False
""" INDI EXAMPLE: 각줄에 pid가 들어간 항목만 코멘트(#)처리 하시고 indi 관련 설정을 넣어주시면 됩니다.
아래 - 수정예시
ret.lateralTuning.init('indi')
ret.lateralTuning.indi.innerLoopGain = 3.0
ret.lateralTuning.indi.outerLoopGain = 2.0
ret.lateralTuning.indi.timeConstant = 1.0
ret.lateralTuning.indi.actuatorEffectiveness = 1.5
#ret.lateralTuning.pid.kf = 0.00005 >>>> PID들어간 항목 코멘트(#)처리
ret.mass = 1950. + STD_CARGO_KG
ret.wheelbase = 2.78
ret.steerRatio = 14.4 * 1.15
#ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.], [0.]] >>>> PID들어간 항목 코멘트(#)처리
#ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.25], [0.05]] >>>> PID들어간 항목 코멘트(#)처리
"""
""" LQR EXAMPLE: 각줄에 pid가 들어간 항목만 코멘트(#)처리 하시고 lqr 관련 설정을 넣어주시면 됩니다.
아래 - 수정예시
ret.lateralTuning.init('lqr')
ret.lateralTuning.lqr.scale = 2000.0
ret.lateralTuning.lqr.ki = 0.05
ret.lateralTuning.lqr.a = [0., 1., -0.22619643, 1.21822268]
ret.lateralTuning.lqr.b = [-1.92006585e-04, 3.95603032e-05]
ret.lateralTuning.lqr.c = [1., 0.]
ret.lateralTuning.lqr.k = [-100., 450.]
ret.lateralTuning.lqr.l = [0.22, 0.318]
ret.lateralTuning.lqr.dcGain = 0.003
#ret.lateralTuning.pid.kf = 0.00005 >>>> PID들어간 항목 코멘트(#)처리
ret.mass = 1950. + STD_CARGO_KG
ret.wheelbase = 2.78
ret.steerRatio = 14.4 * 1.15
#ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.], [0.]] >>>> PID들어간 항목 코멘트(#)처리
#ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.25], [0.05]] >>>> PID들어간 항목 코멘트(#)처리
"""
tire_stiffness_factor = 1.
ret.steerActuatorDelay = 0.3 # Default delay
ret.steerRateCost = 0.5
ret.steerLimitTimer = 0.8
if candidate in [CAR.GRANDEUR_HEV, CAR.K7_HEV]:
#ret.lateralTuning.init('lqr')
#ret.lateralTuning.lqr.scale = 1850.0
#ret.lateralTuning.lqr.ki = 0.02
#ret.lateralTuning.lqr.a = [0., 1., -0.22619643, 1.21822268]
#ret.lateralTuning.lqr.b = [-1.92006585e-04, 3.95603032e-05]
#ret.lateralTuning.lqr.c = [1., 0.]
#ret.lateralTuning.lqr.k = [-105., 450.]
#ret.lateralTuning.lqr.l = [0.30, 0.300]
#ret.lateralTuning.lqr.dcGain = 0.003
ret.lateralTuning.pid.kf = 0.00004
ret.mass = 1675. + STD_CARGO_KG
ret.wheelbase = 2.885
ret.steerRatio = 12.5
ret.steerRateCost = 0.2
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.25],
[0.04]]
elif candidate == CAR.SANTAFE:
ret.lateralTuning.pid.kf = 0.00005
ret.mass = 1830. + STD_CARGO_KG
ret.wheelbase = 2.765
# Values from optimizer
ret.steerRatio = 13.8 # 13.8 is spec end-to-end
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.25],
[0.05]]
elif candidate == CAR.SORENTO:
ret.lateralTuning.pid.kf = 0.00005
ret.mass = 1950. + STD_CARGO_KG
ret.wheelbase = 2.78
ret.steerRatio = 14.4 * 1.15
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.25],
[0.05]]
elif candidate == CAR.GENESIS:
ret.lateralTuning.pid.kf = 0.00005
ret.mass = 2060. + STD_CARGO_KG
ret.wheelbase = 3.01
ret.steerRatio = 16.5
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.16],
[0.01]]
elif candidate in [CAR.K5, CAR.SONATA]:
ret.lateralTuning.pid.kf = 0.00005
ret.mass = 1470. + STD_CARGO_KG
ret.wheelbase = 2.80
ret.steerRatio = 12.75
ret.steerRateCost = 0.4
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.25],
[0.05]]
elif candidate == CAR.SONATA_TURBO:
ret.lateralTuning.pid.kf = 0.00005
ret.mass = 1565. + STD_CARGO_KG
ret.wheelbase = 2.80
ret.steerRatio = 14.4 * 1.15 # 15% higher at the center seems reasonable
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.25],
[0.05]]
elif candidate in [CAR.K5_HEV, CAR.SONATA_HEV]:
ret.lateralTuning.pid.kf = 0.00006
ret.mass = 1595. + STD_CARGO_KG
ret.wheelbase = 2.80
ret.steerRatio = 12.75
ret.steerRateCost = 0.4
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.25],
[0.05]]
elif candidate in [CAR.GRANDEUR, CAR.K7]:
ret.lateralTuning.pid.kf = 0.00005
ret.mass = 1570. + STD_CARGO_KG
ret.wheelbase = 2.885
ret.steerRatio = 12.5
ret.steerRateCost = 0.4
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.25],
[0.05]]
elif candidate == CAR.STINGER:
ret.lateralTuning.pid.kf = 0.00005
ret.mass = 1825. + STD_CARGO_KG
ret.wheelbase = 2.78
ret.steerRatio = 14.4 * 1.15 # 15% higher at the center seems reasonable
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.25],
[0.05]]
elif candidate == CAR.KONA:
ret.lateralTuning.pid.kf = 0.00005
ret.mass = 1330. + STD_CARGO_KG
ret.wheelbase = 2.6
ret.steerRatio = 13.5 #Spec
ret.steerRateCost = 0.4
tire_stiffness_factor = 0.385
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.25],
[0.05]]
elif candidate == CAR.KONA_HEV:
ret.lateralTuning.pid.kf = 0.00005
ret.mass = 1330. + STD_CARGO_KG
ret.wheelbase = 2.6
ret.steerRatio = 13.5 #Spec
ret.steerRateCost = 0.4
tire_stiffness_factor = 0.385
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.25],
[0.05]]
elif candidate == CAR.KONA_EV:
ret.lateralTuning.pid.kf = 0.00005
ret.mass = 1330. + STD_CARGO_KG
ret.wheelbase = 2.6
ret.steerRatio = 13.5 #Spec
ret.steerRateCost = 0.4
tire_stiffness_factor = 0.385
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.25],
[0.05]]
elif candidate == CAR.NIRO_HEV:
ret.lateralTuning.pid.kf = 0.00005
ret.mass = 1425. + STD_CARGO_KG
ret.wheelbase = 2.7
ret.steerRatio = 13.73 #Spec
tire_stiffness_factor = 0.385
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.25],
[0.05]]
elif candidate == CAR.NIRO_EV:
ret.lateralTuning.init('lqr')
ret.lateralTuning.lqr.scale = 2000.0
ret.lateralTuning.lqr.ki = 0.05
ret.lateralTuning.lqr.a = [0., 1., -0.22619643, 1.21822268]
ret.lateralTuning.lqr.b = [-1.92006585e-04, 3.95603032e-05]
ret.lateralTuning.lqr.c = [1., 0.]
ret.lateralTuning.lqr.k = [-100., 450.]
ret.lateralTuning.lqr.l = [0.22, 0.318]
ret.lateralTuning.lqr.dcGain = 0.003
#ret.lateralTuning.pid.kf = 0.00005
ret.mass = 1725. + STD_CARGO_KG
ret.wheelbase = 2.7
ret.steerRatio = 13.73 #Spec
tire_stiffness_factor = 0.385
#ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.], [0.]]
#ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.25], [0.05]]
elif candidate == CAR.IONIQ_HEV:
ret.lateralTuning.pid.kf = 0.00006
ret.mass = 1275. + STD_CARGO_KG
ret.wheelbase = 2.7
ret.steerRatio = 13.73 #Spec
tire_stiffness_factor = 0.385
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.25],
[0.05]]
elif candidate == CAR.IONIQ_EV:
ret.lateralTuning.pid.kf = 0.00005
ret.mass = 1490. + STD_CARGO_KG #weight per hyundai site https://www.hyundaiusa.com/ioniq-electric/specifications.aspx
ret.wheelbase = 2.7
ret.steerRatio = 13.25 #Spec
ret.steerRateCost = 0.4
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.25],
[0.05]]
elif candidate == CAR.NEXO:
ret.lateralTuning.pid.kf = 0.00005
ret.mass = 1885. + STD_CARGO_KG
ret.wheelbase = 2.79
ret.steerRatio = 12.5
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.25],
[0.05]]
elif candidate == CAR.MOHAVE:
ret.lateralTuning.pid.kf = 0.00005
ret.mass = 2250. + STD_CARGO_KG
ret.wheelbase = 2.895
ret.steerRatio = 14.1
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.25],
[0.05]]
elif candidate == CAR.I30:
ret.lateralTuning.pid.kf = 0.00005
ret.mass = 1380. + STD_CARGO_KG
ret.wheelbase = 2.65
ret.steerRatio = 13.5
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.25],
[0.05]]
elif candidate == CAR.AVANTE:
ret.lateralTuning.pid.kf = 0.00005
ret.mass = 1275. + STD_CARGO_KG
ret.wheelbase = 2.7
ret.steerRatio = 13.5 # 14 is Stock | Settled Params Learner values are steerRatio: 15.401566348670535
tire_stiffness_factor = 0.385 # stiffnessFactor settled on 1.0081302973865127
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.25],
[0.05]]
elif candidate == CAR.SELTOS:
ret.lateralTuning.pid.kf = 0.00005
ret.mass = 1470. + STD_CARGO_KG
ret.wheelbase = 2.63
ret.steerRatio = 13.0
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.25],
[0.05]]
elif candidate == CAR.PALISADE:
ret.lateralTuning.pid.kf = 0.00005
ret.mass = 1955. + STD_CARGO_KG
ret.wheelbase = 2.90
ret.steerRatio = 13.0
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.25],
[0.05]]
# 3번 atom param.
ret.lateralPIDatom.sRKPHV = [11., 22.] # 속도. 40~80
ret.lateralPIDatom.sRkBPV = ATOMC.sR_BPV # 조향각.
ret.lateralPIDatom.sRBoostV = ATOMC.sR_BoostV
ret.lateralPIDatom.sRkpV1 = ATOMC.sR_kpV1
ret.lateralPIDatom.sRkiV1 = ATOMC.sR_kiV1
ret.lateralPIDatom.sRkdV1 = ATOMC.sR_kdV1
ret.lateralPIDatom.sRkfV1 = ATOMC.sR_kfV1
ret.lateralPIDatom.sRkpV2 = ATOMC.sR_kpV2
ret.lateralPIDatom.sRkiV2 = ATOMC.sR_kiV2
ret.lateralPIDatom.sRkdV2 = ATOMC.sR_kdV2
ret.lateralPIDatom.sRkfV2 = ATOMC.sR_kfV2
ret.lateralCVatom.cvBPV = ATOMC.cvBPV
ret.lateralCVatom.cvSteerMaxV1 = ATOMC.cvSteerMaxV1
ret.lateralCVatom.cvSteerDeltaUpV1 = ATOMC.cvSteerDeltaUpV1
ret.lateralCVatom.cvSteerDeltaDnV1 = ATOMC.cvSteerDeltaDnV1
ret.lateralCVatom.cvSteerMaxV2 = ATOMC.cvSteerMaxV2
ret.lateralCVatom.cvSteerDeltaUpV2 = ATOMC.cvSteerDeltaUpV2
ret.lateralCVatom.cvSteerDeltaDnV2 = ATOMC.cvSteerDeltaDnV2
ret.lateralsRatom.deadzone = ATOMC.deadzone
ret.lateralsRatom.steerOffset = ATOMC.steerOffset
ret.lateralsRatom.tireStiffnessFactor = ATOMC.tire_stiffness_factor
ret.steerRatio = ATOMC.steerRatio #10.5 #12.5
ret.steerRateCost = ATOMC.steerRateCost #0.4 #0.4
ret.steerActuatorDelay = ATOMC.steerActuatorDelay
ret.steerLimitTimer = ATOMC.steerLimitTimer
tire_stiffness_factor = ATOMC.tire_stiffness_factor
ret.centerToFront = ret.wheelbase * 0.4
# TODO: get actual value, for now starting with reasonable value for
# civic and scaling by mass and wheelbase
ret.rotationalInertia = scale_rot_inertia(ret.mass, ret.wheelbase)
# TODO: start from empirically derived lateral slip stiffness for the civic and scale by
# mass and CG position, so all cars will have approximately similar dyn behaviors
ret.tireStiffnessFront, ret.tireStiffnessRear = scale_tire_stiffness(
ret.mass,
ret.wheelbase,
ret.centerToFront,
tire_stiffness_factor=tire_stiffness_factor)
ret.enableCamera = is_ecu_disconnected(fingerprint[0], FINGERPRINTS,
ECU_FINGERPRINT, candidate,
Ecu.fwdCamera) or has_relay
# ignore CAN2 address if L-CAN on the same BUS
ret.mdpsBus = 1 if 593 in fingerprint[1] and 1296 not in fingerprint[
1] else 0
ret.sasBus = 1 if 688 in fingerprint[1] and 1296 not in fingerprint[
1] else 0
ret.sccBus = 0 if 1056 in fingerprint[0] else 1 if 1056 in fingerprint[1] and 1296 not in fingerprint[1] \
else 2 if 1056 in fingerprint[2] else -1
ret.openpilotLongitudinalControl = False
return ret
def get_params(candidate,
fingerprint=gen_empty_fingerprint(),
car_fw=None):
ret = CarInterfaceBase.get_std_params(candidate, fingerprint)
# VW port is a community feature, since we don't own one to test
ret.communityFeature = True
if True: # pylint: disable=using-constant-test
# Set common MQB parameters that will apply globally
ret.carName = "volkswagen"
ret.radarOffCan = True
ret.safetyModel = car.CarParams.SafetyModel.volkswagen
ret.steerActuatorDelay = 0.05
if 0xAD in fingerprint[0]:
# Getriebe_11 detected: traditional automatic or DSG gearbox
ret.transmissionType = TransmissionType.automatic
elif 0x187 in fingerprint[0]:
# EV_Gearshift detected: e-Golf or similar direct-drive electric
ret.transmissionType = TransmissionType.direct
else:
# No trans message at all, must be a true stick-shift manual
ret.transmissionType = TransmissionType.manual
cloudlog.info("Detected transmission type: %s",
ret.transmissionType)
# Global tuning defaults, can be overridden per-vehicle
ret.steerRateCost = 1.0
ret.steerLimitTimer = 0.4
ret.steerRatio = 15.6 # Let the params learner figure this out
tire_stiffness_factor = 1.0 # Let the params learner figure this out
ret.lateralTuning.pid.kpBP = [0.]
ret.lateralTuning.pid.kiBP = [0.]
ret.lateralTuning.pid.kf = 0.00006
ret.lateralTuning.pid.kpV = [0.6]
ret.lateralTuning.pid.kiV = [0.2]
# Per-chassis tuning values, override tuning defaults here if desired
if candidate in [CAR.AUDI_A3, CAR.GOLF]:
# Temporarily carry forward old tuning values while we test vehicle identification
ret.mass = 1500 + STD_CARGO_KG
ret.wheelbase = 2.64
if candidate == CAR.TIGUAN_MK2:
# Average of SWB and LWB variants
ret.mass = 1715 + STD_CARGO_KG
ret.wheelbase = 2.74
ret.centerToFront = ret.wheelbase * 0.45
ret.enableCamera = True # Stock camera detection doesn't apply to VW
# TODO: get actual value, for now starting with reasonable value for
# civic and scaling by mass and wheelbase
ret.rotationalInertia = scale_rot_inertia(ret.mass, ret.wheelbase)
# TODO: start from empirically derived lateral slip stiffness for the civic and scale by
# mass and CG position, so all cars will have approximately similar dyn behaviors
ret.tireStiffnessFront, ret.tireStiffnessRear = scale_tire_stiffness(
ret.mass,
ret.wheelbase,
ret.centerToFront,
tire_stiffness_factor=tire_stiffness_factor)
return ret
def get_params(candidate,
fingerprint=gen_empty_fingerprint(),
has_relay=False,
car_fw=[]):
ret = CarInterfaceBase.get_std_params(candidate, fingerprint,
has_relay)
ret.carName = "hyundai"
ret.safetyModel = car.CarParams.SafetyModel.hyundai
# Hyundai port is a community feature for now
ret.communityFeature = True
ret.steerActuatorDelay = 0.1 # Default delay
ret.steerRateCost = 0.5
ret.steerLimitTimer = 0.8
tire_stiffness_factor = 1.
ret.lateralTuning.pid.kd = 0.
if candidate in [CAR.SANTA_FE, CAR.SANTA_FE_1]:
ret.lateralTuning.pid.kf = 0.00005
ret.mass = 3982. * CV.LB_TO_KG + STD_CARGO_KG
ret.wheelbase = 2.766
# Values from optimizer
ret.steerRatio = 16.55 # 13.8 is spec end-to-end
tire_stiffness_factor = 0.82
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[
9., 22.
], [9., 22.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[
0.2, 0.35
], [0.05, 0.09]]
elif candidate in [CAR.SONATA, CAR.SONATA_H]:
ret.lateralTuning.pid.kf = 0.00005
ret.mass = 1513. + STD_CARGO_KG
ret.wheelbase = 2.84
ret.steerRatio = 13.27 * 1.15 # 15% higher at the center seems reasonable
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.25],
[0.05]]
elif candidate == CAR.PALISADE:
ret.lateralTuning.pid.kf = 0.00005
ret.mass = 1999. + STD_CARGO_KG
ret.wheelbase = 2.90
ret.steerRatio = 13.75 * 1.15
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.25],
[0.05]]
elif candidate == CAR.KIA_SORENTO:
ret.lateralTuning.pid.kf = 0.00005
ret.mass = 1985. + STD_CARGO_KG
ret.wheelbase = 2.78
ret.steerRatio = 14.4 * 1.1 # 10% higher at the center seems reasonable
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.25],
[0.05]]
elif candidate in [CAR.ELANTRA, CAR.ELANTRA_GT_I30]:
ret.lateralTuning.pid.kf = 0.00006
ret.mass = 1275. + STD_CARGO_KG
ret.wheelbase = 2.7
ret.steerRatio = 15.4 # 14 is Stock | Settled Params Learner values are steerRatio: 15.401566348670535
tire_stiffness_factor = 0.385 # stiffnessFactor settled on 1.0081302973865127
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.25],
[0.05]]
ret.minSteerSpeed = 32 * CV.MPH_TO_MS
elif candidate == CAR.HYUNDAI_GENESIS:
ret.lateralTuning.pid.kf = 0.00005
ret.mass = 2060. + STD_CARGO_KG
ret.wheelbase = 3.01
ret.steerRatio = 16.5
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.16],
[0.01]]
ret.minSteerSpeed = 60 * CV.KPH_TO_MS
elif candidate in [CAR.GENESIS_G90, CAR.GENESIS_G80]:
ret.mass = 2200
ret.wheelbase = 3.15
ret.steerRatio = 12.069
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.16],
[0.01]]
elif candidate in [CAR.KIA_OPTIMA, CAR.KIA_OPTIMA_H]:
ret.lateralTuning.pid.kf = 0.00005
ret.mass = 3558. * CV.LB_TO_KG
ret.wheelbase = 2.80
ret.steerRatio = 13.75
tire_stiffness_factor = 0.5
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.25],
[0.05]]
elif candidate == CAR.KIA_STINGER:
ret.lateralTuning.pid.kf = 0.00005
ret.steerActuatorDelay = 0.08 # Stinger Limited AWD 3.3T stock value (Tunder's 2020)
ret.steerLimitTimer = 0.01 # no timer on value changes, lightning fast up or down (Tunder's 2020)
tire_stiffness_factor = 0.7 # LiveParameters (Tunder's 2020)
ret.steerRateCost = 0.25 # i don't know what this actually does, but the car drives much better this way than at 1.0. (Tunder)
ret.mass = 1825. + STD_CARGO_KG
ret.wheelbase = 2.906 # https://www.kia.com/us/en/stinger/specs
ret.steerRatio = 10.28 # measured by wheel alignment machine/reported steering angle by OP, still being worked on. 2020 GT Limited AWD has a variable steering ratio ultimately ending in 10.28. The ratio at 0-1 deg is unknown, but likely higher than 10.28 to soften steering movements at midline (Tunder)
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [
[0.13], [0.05]
] # any higher p value and it oscillates forever. much lower and it doesn't turn enough (lazy)
elif candidate == CAR.KONA:
ret.lateralTuning.pid.kf = 0.00006
ret.mass = 1275. + STD_CARGO_KG
ret.wheelbase = 2.7
ret.steerRatio = 13.73 #Spec
tire_stiffness_factor = 0.385
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.25],
[0.05]]
elif candidate == CAR.IONIQ:
ret.lateralTuning.pid.kf = 0.00006
ret.mass = 1275. + STD_CARGO_KG
ret.wheelbase = 2.7
ret.steerRatio = 13.73 #Spec
tire_stiffness_factor = 0.385
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.25],
[0.05]]
ret.minSteerSpeed = 32 * CV.MPH_TO_MS
elif candidate == CAR.KONA_EV:
ret.lateralTuning.pid.kf = 0.00006
ret.mass = 1685. + STD_CARGO_KG
ret.wheelbase = 2.7
ret.steerRatio = 13.73 #Spec
tire_stiffness_factor = 0.385
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.25],
[0.05]]
elif candidate == CAR.KIA_NIRO_EV:
ret.lateralTuning.pid.kf = 0.00006
ret.mass = 1737. + STD_CARGO_KG
ret.wheelbase = 2.7
ret.steerRatio = 13.73 #Spec
tire_stiffness_factor = 0.385
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.25],
[0.05]]
elif candidate == CAR.IONIQ_EV_LTD:
ret.lateralTuning.pid.kf = 0.00006
ret.mass = 1490. + STD_CARGO_KG #weight per hyundai site https://www.hyundaiusa.com/ioniq-electric/specifications.aspx
ret.wheelbase = 2.7
ret.steerRatio = 13.73 #Spec
tire_stiffness_factor = 0.385
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.25],
[0.05]]
ret.minSteerSpeed = 32 * CV.MPH_TO_MS
elif candidate == CAR.KIA_FORTE:
ret.lateralTuning.pid.kf = 0.00005
ret.mass = 3558. * CV.LB_TO_KG
ret.wheelbase = 2.80
ret.steerRatio = 13.75
tire_stiffness_factor = 0.5
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.25],
[0.05]]
elif candidate == CAR.KIA_CEED:
ret.lateralTuning.pid.kf = 0.00005
ret.mass = 1350. + STD_CARGO_KG
ret.wheelbase = 2.65
ret.steerRatio = 13.75
tire_stiffness_factor = 0.5
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.25],
[0.05]]
elif candidate == CAR.KIA_SPORTAGE:
ret.lateralTuning.pid.kf = 0.00005
ret.mass = 1985. + STD_CARGO_KG
ret.wheelbase = 2.78
ret.steerRatio = 14.4 * 1.1 # 10% higher at the center seems reasonable
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.25],
[0.05]]
ret.minSteerSpeed = 0.
elif candidate == CAR.GRANDEUR:
tire_stiffness_factor = 0.6
ret.mass = 1640. + STD_CARGO_KG
ret.wheelbase = 2.845
ret.lateralTuning.init('lqr')
ret.lateralTuning.lqr.scale = 2000.0
ret.lateralTuning.lqr.ki = 0.01
ret.lateralTuning.lqr.a = [0., 1., -0.22619643, 1.21822268]
ret.lateralTuning.lqr.b = [-1.92006585e-04, 3.95603032e-05]
ret.lateralTuning.lqr.c = [1., 0.]
ret.lateralTuning.lqr.k = [-100., 450.]
ret.lateralTuning.lqr.l = [0.22, 0.318]
ret.lateralTuning.lqr.dcGain = 0.003
ret.steerRatio = 13.7
ret.steerActuatorDelay = 0.3
ret.steerRateCost = 0.5
ret.steerLimitTimer = 0.8
elif candidate == CAR.K7_HYBRID:
tire_stiffness_factor = 0.8
ret.mass = 1425. + STD_CARGO_KG
ret.wheelbase = 2.7
ret.steerRatio = 13.73
ret.steerActuatorDelay = 0.3
ret.steerRateCost = 0.5
ret.steerLimitTimer = 0.6
ret.lateralTuning.init('lqr')
ret.lateralTuning.lqr.scale = 2000.0
ret.lateralTuning.lqr.ki = 0.03
ret.lateralTuning.lqr.a = [0., 1., -0.22619643, 1.21822268]
ret.lateralTuning.lqr.b = [-1.92006585e-04, 3.95603032e-05]
ret.lateralTuning.lqr.c = [1., 0.]
ret.lateralTuning.lqr.k = [-100., 450.]
ret.lateralTuning.lqr.l = [0.22, 0.318]
ret.lateralTuning.lqr.dcGain = 0.003
elif candidate == CAR.KIA_NIRO_HEV:
ret.steerActuatorDelay = 0.3
ret.steerRateCost = 0.45
ret.steerLimitTimer = 0.4
ret.lateralTuning.init('lqr')
ret.lateralTuning.lqr.scale = 1750.0
ret.lateralTuning.lqr.ki = 0.03
ret.lateralTuning.lqr.a = [0., 1., -0.22619643, 1.21822268]
ret.lateralTuning.lqr.b = [-1.92006585e-04, 3.95603032e-05]
ret.lateralTuning.lqr.c = [1., 0.]
ret.lateralTuning.lqr.k = [-100., 450.]
ret.lateralTuning.lqr.l = [0.22, 0.318]
ret.lateralTuning.lqr.dcGain = 0.003
# ret.lateralTuning.pid.kf = 0.00005
ret.mass = 1425. + STD_CARGO_KG
ret.wheelbase = 2.7
ret.steerRatio = 13.73 #Spec
tire_stiffness_factor = 0.385
# ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.], [0.]]
# ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.25], [0.05]]
ret.centerToFront = ret.wheelbase * 0.4
# TODO: get actual value, for now starting with reasonable value for
# civic and scaling by mass and wheelbase
ret.rotationalInertia = scale_rot_inertia(ret.mass, ret.wheelbase)
# TODO: start from empirically derived lateral slip stiffness for the civic and scale by
# mass and CG position, so all cars will have approximately similar dyn behaviors
ret.tireStiffnessFront, ret.tireStiffnessRear = scale_tire_stiffness(
ret.mass,
ret.wheelbase,
ret.centerToFront,
tire_stiffness_factor=tire_stiffness_factor)
# no rear steering, at least on the listed cars above
ret.steerRatioRear = 0.
ret.steerControlType = car.CarParams.SteerControlType.torque
ret.longitudinalTuning.kpBP = [0., 5., 35.]
ret.longitudinalTuning.kpV = [1.2, 0.8, 0.5]
ret.longitudinalTuning.kiBP = [0., 35.]
ret.longitudinalTuning.kiV = [0.18, 0.12]
ret.longitudinalTuning.deadzoneBP = [0.]
ret.longitudinalTuning.deadzoneV = [0.]
# steer, gas, brake limitations VS speed
ret.steerMaxBP = [0.]
ret.steerMaxV = [1.0]
ret.gasMaxBP = [0.]
ret.gasMaxV = [0.5]
ret.brakeMaxBP = [0., 20.]
ret.brakeMaxV = [1., 0.8]
ret.enableCamera = is_ecu_disconnected(fingerprint[0], FINGERPRINTS,
ECU_FINGERPRINT, candidate,
Ecu.fwdCamera) or has_relay
ret.stoppingControl = True
ret.startAccel = 0.0
# ignore CAN2 address if L-CAN on the same BUS
ret.mdpsBus = 1 if 593 in fingerprint[1] and 1296 not in fingerprint[
1] else 0
ret.sasBus = 1 if 688 in fingerprint[1] and 1296 not in fingerprint[
1] else 0
ret.sccBus = 0 if 1056 in fingerprint[0] else 1 if 1056 in fingerprint[1] and 1296 not in fingerprint[1] \
else 2 if 1056 in fingerprint[2] else -1
ret.radarOffCan = ret.sccBus == -1
ret.openpilotLongitudinalControl = bool(ret.sccBus
and not ret.radarOffCan)
ret.autoLcaEnabled = True
return ret
def get_params(candidate, fingerprint, vin="", is_panda_black=False):
ret = car.CarParams.new_message()
ret.carName = "gm"
ret.carFingerprint = candidate
ret.carVin = vin
ret.isPandaBlack = is_panda_black
ret.enableCruise = False
# Presence of a camera on the object bus is ok.
# Have to go to read_only if ASCM is online (ACC-enabled cars),
# or camera is on powertrain bus (LKA cars without ACC).
ret.enableCamera = not any(x for x in STOCK_CONTROL_MSGS[candidate]
if x in fingerprint) or is_panda_black
ret.openpilotLongitudinalControl = ret.enableCamera
tire_stiffness_factor = 0.444 # not optimized yet
if candidate == CAR.VOLT:
# supports stop and go, but initial engage must be above 18mph (which include conservatism)
ret.minEnableSpeed = 18 * CV.MPH_TO_MS
ret.mass = 1607. + STD_CARGO_KG
ret.safetyModel = car.CarParams.SafetyModel.gm
ret.wheelbase = 2.69
ret.steerRatio = 15.7
ret.steerRatioRear = 0.
ret.centerToFront = ret.wheelbase * 0.4 # wild guess
elif candidate == CAR.MALIBU:
# supports stop and go, but initial engage must be above 18mph (which include conservatism)
ret.minEnableSpeed = 18 * CV.MPH_TO_MS
ret.mass = 1496. + STD_CARGO_KG
ret.safetyModel = car.CarParams.SafetyModel.gm
ret.wheelbase = 2.83
ret.steerRatio = 15.8
ret.steerRatioRear = 0.
ret.centerToFront = ret.wheelbase * 0.4 # wild guess
elif candidate == CAR.HOLDEN_ASTRA:
ret.mass = 1363. + STD_CARGO_KG
ret.wheelbase = 2.662
# Remaining parameters copied from Volt for now
ret.centerToFront = ret.wheelbase * 0.4
ret.minEnableSpeed = 18 * CV.MPH_TO_MS
ret.safetyModel = car.CarParams.SafetyModel.gm
ret.steerRatio = 15.7
ret.steerRatioRear = 0.
elif candidate == CAR.ACADIA:
ret.minEnableSpeed = -1. # engage speed is decided by pcm
ret.mass = 4353. * CV.LB_TO_KG + STD_CARGO_KG
ret.safetyModel = car.CarParams.SafetyModel.gm
ret.wheelbase = 2.86
ret.steerRatio = 14.4 #end to end is 13.46
ret.steerRatioRear = 0.
ret.centerToFront = ret.wheelbase * 0.4
elif candidate == CAR.BUICK_REGAL:
ret.minEnableSpeed = 18 * CV.MPH_TO_MS
ret.mass = 3779. * CV.LB_TO_KG + STD_CARGO_KG # (3849+3708)/2
ret.safetyModel = car.CarParams.SafetyModel.gm
ret.wheelbase = 2.83 #111.4 inches in meters
ret.steerRatio = 14.4 # guess for tourx
ret.steerRatioRear = 0.
ret.centerToFront = ret.wheelbase * 0.4 # guess for tourx
elif candidate == CAR.CADILLAC_ATS:
ret.minEnableSpeed = 18 * CV.MPH_TO_MS
ret.mass = 1601. + STD_CARGO_KG
ret.safetyModel = car.CarParams.SafetyModel.gm
ret.wheelbase = 2.78
ret.steerRatio = 15.3
ret.steerRatioRear = 0.
ret.centerToFront = ret.wheelbase * 0.49
elif candidate == CAR.CADILLAC_CT6:
# engage speed is decided by pcm
ret.minEnableSpeed = -1.
ret.mass = 4016. * CV.LB_TO_KG + STD_CARGO_KG
ret.safetyModel = car.CarParams.SafetyModel.cadillac
ret.wheelbase = 3.11
ret.steerRatio = 14.6 # it's 16.3 without rear active steering
ret.steerRatioRear = 0. # TODO: there is RAS on this car!
ret.centerToFront = ret.wheelbase * 0.465
# TODO: get actual value, for now starting with reasonable value for
# civic and scaling by mass and wheelbase
ret.rotationalInertia = scale_rot_inertia(ret.mass, ret.wheelbase)
# TODO: start from empirically derived lateral slip stiffness for the civic and scale by
# mass and CG position, so all cars will have approximately similar dyn behaviors
ret.tireStiffnessFront, ret.tireStiffnessRear = scale_tire_stiffness(
ret.mass,
ret.wheelbase,
ret.centerToFront,
tire_stiffness_factor=tire_stiffness_factor)
# same tuning for Volt and CT6 for now
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.], [0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.2], [0.00]]
ret.lateralTuning.pid.kf = 0.00004 # full torque for 20 deg at 80mph means 0.00007818594
ret.steerMaxBP = [0.] # m/s
ret.steerMaxV = [1.]
ret.gasMaxBP = [0.]
ret.gasMaxV = [.5]
ret.brakeMaxBP = [0.]
ret.brakeMaxV = [1.]
ret.longitudinalTuning.kpBP = [5., 35.]
ret.longitudinalTuning.kpV = [2.4, 1.5]
ret.longitudinalTuning.kiBP = [0.]
ret.longitudinalTuning.kiV = [0.36]
ret.longitudinalTuning.deadzoneBP = [0.]
ret.longitudinalTuning.deadzoneV = [0.]
ret.steerLimitAlert = True
ret.stoppingControl = True
ret.startAccel = 0.8
ret.steerActuatorDelay = 0.1 # Default delay, not measured yet
ret.steerRateCost = 1.0
ret.steerControlType = car.CarParams.SteerControlType.torque
return ret
def get_params(candidate, fingerprint=gen_empty_fingerprint(), car_fw=[], disable_radar=False): # pylint: disable=dangerous-default-value
ret = CarInterfaceBase.get_std_params(candidate, fingerprint)
ret.openpilotLongitudinalControl = Params().get_bool('LongControlEnabled')
ret.carName = "hyundai"
ret.safetyConfigs = [get_safety_config(car.CarParams.SafetyModel.hyundaiLegacy, 0)]
tire_stiffness_factor = 1.
ret.maxSteeringAngleDeg = 1000.
ret.steerFaultMaxAngle = 85
ret.steerFaultMaxFrames = 90
ret.disableLateralLiveTuning = False
# lateral
lateral_control = Params().get("LateralControl", encoding='utf-8')
if lateral_control == 'INDI':
ret.lateralTuning.init('indi')
ret.lateralTuning.indi.innerLoopGainBP = [0.]
ret.lateralTuning.indi.innerLoopGainV = [3.3]
ret.lateralTuning.indi.outerLoopGainBP = [0.]
ret.lateralTuning.indi.outerLoopGainV = [2.8]
ret.lateralTuning.indi.timeConstantBP = [0.]
ret.lateralTuning.indi.timeConstantV = [1.4]
ret.lateralTuning.indi.actuatorEffectivenessBP = [0.]
ret.lateralTuning.indi.actuatorEffectivenessV = [1.8]
elif lateral_control == 'LQR':
ret.lateralTuning.init('lqr')
ret.lateralTuning.lqr.scale = 1600.
ret.lateralTuning.lqr.ki = 0.01
ret.lateralTuning.lqr.dcGain = 0.0025
ret.lateralTuning.lqr.a = [0., 1., -0.22619643, 1.21822268]
ret.lateralTuning.lqr.b = [-1.92006585e-04, 3.95603032e-05]
ret.lateralTuning.lqr.c = [1., 0.]
ret.lateralTuning.lqr.k = [-110., 451.]
ret.lateralTuning.lqr.l = [0.33, 0.318]
else:
ret.lateralTuning.init('torque')
ret.lateralTuning.torque.useSteeringAngle = True
max_lat_accel = 1.8
ret.lateralTuning.torque.kp = 1.0 / max_lat_accel
ret.lateralTuning.torque.kf = 1.0 / max_lat_accel
ret.lateralTuning.torque.ki = 0.25 / max_lat_accel
ret.lateralTuning.torque.friction = 0.01
ret.lateralTuning.torque.kd = 0.0
ret.lateralTuning.torque.deadzone = 0.0
ret.steerRatio = 16.5
ret.steerActuatorDelay = 0.1
ret.steerRateCost = 0.35
ret.steerLimitTimer = 2.5
# longitudinal
ret.longitudinalTuning.kpBP = [0., 5.*CV.KPH_TO_MS, 10.*CV.KPH_TO_MS, 30.*CV.KPH_TO_MS, 130.*CV.KPH_TO_MS]
ret.longitudinalTuning.kpV = [1.25, 1.1, 1.0, 0.88, 0.48]
ret.longitudinalTuning.kiBP = [0., 130. * CV.KPH_TO_MS]
ret.longitudinalTuning.kiV = [0.1, 0.05]
ret.longitudinalActuatorDelayLowerBound = 0.3
ret.longitudinalActuatorDelayUpperBound = 0.3
ret.stopAccel = -2.0
ret.stoppingDecelRate = 0.4 # brake_travel/s while trying to stop
ret.vEgoStopping = 0.5
ret.vEgoStarting = 0.5
# genesis
if candidate == CAR.GENESIS:
ret.mass = 1900. + STD_CARGO_KG
ret.wheelbase = 3.01
ret.centerToFront = ret.wheelbase * 0.4
ret.maxSteeringAngleDeg = 90.
ret.steerFaultMaxAngle = 0
elif candidate == CAR.GENESIS_G70:
ret.mass = 1640. + STD_CARGO_KG
ret.wheelbase = 2.84
ret.centerToFront = ret.wheelbase * 0.4
elif candidate == CAR.GENESIS_G80:
ret.mass = 1855. + STD_CARGO_KG
ret.wheelbase = 3.01
ret.centerToFront = ret.wheelbase * 0.4
elif candidate == CAR.GENESIS_EQ900:
ret.mass = 2200
ret.wheelbase = 3.15
ret.centerToFront = ret.wheelbase * 0.4
# thanks to 파파
ret.steerRatio = 16.0
ret.steerActuatorDelay = 0.075
ret.steerRateCost = 0.4
if ret.lateralTuning.which() == 'torque':
ret.lateralTuning.torque.useSteeringAngle = True
max_lat_accel = 2.2
ret.lateralTuning.torque.kp = 1.0 / max_lat_accel
ret.lateralTuning.torque.kf = 1.0 / max_lat_accel
ret.lateralTuning.torque.ki = 0.25 / max_lat_accel
ret.lateralTuning.torque.friction = 0.01
ret.lateralTuning.torque.kd = 0.0
elif candidate == CAR.GENESIS_EQ900_L:
ret.mass = 2290
ret.wheelbase = 3.45
ret.centerToFront = ret.wheelbase * 0.4
elif candidate == CAR.GENESIS_G90:
ret.mass = 2150
ret.wheelbase = 3.16
ret.centerToFront = ret.wheelbase * 0.4
# hyundai
elif candidate in [CAR.SANTA_FE]:
ret.mass = 1694 + STD_CARGO_KG
ret.wheelbase = 2.766
ret.centerToFront = ret.wheelbase * 0.4
elif candidate in [CAR.SANTA_FE_2022, CAR.SANTA_FE_HEV_2022]:
ret.mass = 1750 + STD_CARGO_KG
ret.wheelbase = 2.766
ret.centerToFront = ret.wheelbase * 0.4
elif candidate in [CAR.SONATA, CAR.SONATA_HEV, CAR.SONATA21_HEV]:
ret.mass = 1513. + STD_CARGO_KG
ret.wheelbase = 2.84
ret.centerToFront = ret.wheelbase * 0.4
tire_stiffness_factor = 0.65
elif candidate in [CAR.SONATA19, CAR.SONATA19_HEV]:
ret.mass = 4497. * CV.LB_TO_KG
ret.wheelbase = 2.804
ret.centerToFront = ret.wheelbase * 0.4
elif candidate == CAR.SONATA_LF_TURBO:
ret.mass = 1590. + STD_CARGO_KG
ret.wheelbase = 2.805
tire_stiffness_factor = 0.65
ret.centerToFront = ret.wheelbase * 0.4
elif candidate == CAR.PALISADE:
ret.mass = 1999. + STD_CARGO_KG
ret.wheelbase = 2.90
ret.centerToFront = ret.wheelbase * 0.4
# thanks to 지구별(alexhys)
ret.steerRatio = 16.0
ret.steerActuatorDelay = 0.075
ret.steerRateCost = 0.4
if ret.lateralTuning.which() == 'torque':
ret.lateralTuning.torque.useSteeringAngle = True
max_lat_accel = 2.3
ret.lateralTuning.torque.kp = 1.0 / max_lat_accel
ret.lateralTuning.torque.kf = 1.0 / max_lat_accel
ret.lateralTuning.torque.ki = 0.25 / max_lat_accel
ret.lateralTuning.torque.friction = 0.0
ret.lateralTuning.torque.kd = 0.1
elif candidate in [CAR.ELANTRA, CAR.ELANTRA_GT_I30]:
ret.mass = 1275. + STD_CARGO_KG
ret.wheelbase = 2.7
tire_stiffness_factor = 0.7
ret.centerToFront = ret.wheelbase * 0.4
elif candidate == CAR.ELANTRA_2021:
ret.mass = (2800. * CV.LB_TO_KG) + STD_CARGO_KG
ret.wheelbase = 2.72
ret.steerRatio = 13.27 * 1.15 # 15% higher at the center seems reasonable
tire_stiffness_factor = 0.65
ret.centerToFront = ret.wheelbase * 0.4
elif candidate == CAR.ELANTRA_HEV_2021:
ret.mass = (3017. * CV.LB_TO_KG) + STD_CARGO_KG
ret.wheelbase = 2.72
ret.steerRatio = 13.27 * 1.15 # 15% higher at the center seems reasonable
tire_stiffness_factor = 0.65
ret.centerToFront = ret.wheelbase * 0.4
elif candidate == CAR.KONA:
ret.mass = 1275. + STD_CARGO_KG
ret.wheelbase = 2.7
tire_stiffness_factor = 0.7
ret.centerToFront = ret.wheelbase * 0.4
elif candidate in [CAR.KONA_HEV, CAR.KONA_EV]:
ret.mass = 1395. + STD_CARGO_KG
ret.wheelbase = 2.6
tire_stiffness_factor = 0.7
ret.centerToFront = ret.wheelbase * 0.4
elif candidate in [CAR.IONIQ, CAR.IONIQ_EV_LTD, CAR.IONIQ_EV_2020, CAR.IONIQ_PHEV]:
ret.mass = 1490. + STD_CARGO_KG
ret.wheelbase = 2.7
tire_stiffness_factor = 0.385
#if candidate not in [CAR.IONIQ_EV_2020, CAR.IONIQ_PHEV]:
# ret.minSteerSpeed = 32 * CV.MPH_TO_MS
ret.centerToFront = ret.wheelbase * 0.4
elif candidate in [CAR.GRANDEUR_IG, CAR.GRANDEUR_IG_HEV]:
tire_stiffness_factor = 0.8
ret.mass = 1570. + STD_CARGO_KG
ret.wheelbase = 2.845
ret.centerToFront = ret.wheelbase * 0.385
ret.steerRatio = 16.
elif candidate in [CAR.GRANDEUR_IG_FL, CAR.GRANDEUR_IG_FL_HEV]:
tire_stiffness_factor = 0.8
ret.mass = 1600. + STD_CARGO_KG
ret.wheelbase = 2.885
ret.centerToFront = ret.wheelbase * 0.385
ret.steerRatio = 17.
elif candidate == CAR.VELOSTER:
ret.mass = 3558. * CV.LB_TO_KG
ret.wheelbase = 2.80
tire_stiffness_factor = 0.9
ret.centerToFront = ret.wheelbase * 0.4
elif candidate == CAR.TUCSON_TL_SCC:
ret.mass = 1594. + STD_CARGO_KG #1730
ret.wheelbase = 2.67
tire_stiffness_factor = 0.7
ret.centerToFront = ret.wheelbase * 0.4
# kia
elif candidate == CAR.SORENTO:
ret.mass = 1985. + STD_CARGO_KG
ret.wheelbase = 2.78
tire_stiffness_factor = 0.7
ret.centerToFront = ret.wheelbase * 0.4
elif candidate in [CAR.K5, CAR.K5_HEV]:
ret.mass = 3558. * CV.LB_TO_KG
ret.wheelbase = 2.80
tire_stiffness_factor = 0.7
ret.centerToFront = ret.wheelbase * 0.4
elif candidate in [CAR.K5_2021]:
ret.mass = 3228. * CV.LB_TO_KG
ret.wheelbase = 2.85
tire_stiffness_factor = 0.7
elif candidate == CAR.STINGER:
tire_stiffness_factor = 1.125 # LiveParameters (Tunder's 2020)
ret.mass = 1825.0 + STD_CARGO_KG
ret.wheelbase = 2.906
ret.centerToFront = ret.wheelbase * 0.4
elif candidate == CAR.FORTE:
ret.mass = 3558. * CV.LB_TO_KG
ret.wheelbase = 2.80
tire_stiffness_factor = 0.7
ret.centerToFront = ret.wheelbase * 0.4
elif candidate == CAR.CEED:
ret.mass = 1350. + STD_CARGO_KG
ret.wheelbase = 2.65
tire_stiffness_factor = 0.6
ret.centerToFront = ret.wheelbase * 0.4
elif candidate == CAR.SPORTAGE:
ret.mass = 1985. + STD_CARGO_KG
ret.wheelbase = 2.78
tire_stiffness_factor = 0.7
ret.centerToFront = ret.wheelbase * 0.4
elif candidate in [CAR.NIRO_EV, CAR.NIRO_HEV, CAR.NIRO_HEV_2021]:
ret.mass = 1737. + STD_CARGO_KG
ret.wheelbase = 2.7
tire_stiffness_factor = 0.7
ret.centerToFront = ret.wheelbase * 0.4
elif candidate == CAR.SELTOS:
ret.mass = 1310. + STD_CARGO_KG
ret.wheelbase = 2.6
tire_stiffness_factor = 0.7
ret.centerToFront = ret.wheelbase * 0.4
elif candidate == CAR.MOHAVE:
ret.mass = 2285. + STD_CARGO_KG
ret.wheelbase = 2.895
ret.centerToFront = ret.wheelbase * 0.5
tire_stiffness_factor = 0.8
elif candidate in [CAR.K7, CAR.K7_HEV]:
tire_stiffness_factor = 0.7
ret.mass = 1650. + STD_CARGO_KG
ret.wheelbase = 2.855
ret.centerToFront = ret.wheelbase * 0.4
ret.steerRatio = 17.25
elif candidate == CAR.K9:
ret.mass = 2005. + STD_CARGO_KG
ret.wheelbase = 3.15
ret.centerToFront = ret.wheelbase * 0.4
tire_stiffness_factor = 0.8
ret.steerRatio = 14.5
ret.steerRateCost = 0.4
if ret.lateralTuning.which() == 'torque':
#ret.disableLateralLiveTuning = True
#ret.lateralTuning.torque.kp = 0.63
#ret.lateralTuning.torque.ki = 0.15
#ret.lateralTuning.torque.kf = 0.31
ret.lateralTuning.torque.useSteeringAngle = True
max_lat_accel = 2.2
ret.lateralTuning.torque.kp = 1.0 / max_lat_accel
ret.lateralTuning.torque.kf = 1.0 / max_lat_accel
ret.lateralTuning.torque.ki = 0.25 / max_lat_accel
ret.lateralTuning.torque.friction = 0.01
ret.lateralTuning.torque.kd = 0.0
ret.radarTimeStep = 0.05
if ret.centerToFront == 0:
ret.centerToFront = ret.wheelbase * 0.4
# TODO: get actual value, for now starting with reasonable value for
# civic and scaling by mass and wheelbase
ret.rotationalInertia = scale_rot_inertia(ret.mass, ret.wheelbase)
# TODO: start from empirically derived lateral slip stiffness for the civic and scale by
# mass and CG position, so all cars will have approximately similar dyn behaviors
ret.tireStiffnessFront, ret.tireStiffnessRear = scale_tire_stiffness(ret.mass, ret.wheelbase, ret.centerToFront,
tire_stiffness_factor=tire_stiffness_factor)
# no rear steering, at least on the listed cars above
ret.steerRatioRear = 0.
ret.steerControlType = car.CarParams.SteerControlType.torque
ret.stoppingControl = True
ret.enableBsm = 0x58b in fingerprint[0]
ret.enableAutoHold = 1151 in fingerprint[0]
# ignore CAN2 address if L-CAN on the same BUS
ret.mdpsBus = 1 if 593 in fingerprint[1] and 1296 not in fingerprint[1] else 0
ret.sasBus = 1 if 688 in fingerprint[1] and 1296 not in fingerprint[1] else 0
ret.sccBus = 0 if 1056 in fingerprint[0] else 1 if 1056 in fingerprint[1] and 1296 not in fingerprint[1] \
else 2 if 1056 in fingerprint[2] else -1
if ret.sccBus >= 0:
ret.hasScc13 = 1290 in fingerprint[ret.sccBus]
ret.hasScc14 = 905 in fingerprint[ret.sccBus]
ret.hasEms = 608 in fingerprint[0] and 809 in fingerprint[0]
ret.hasLfaHda = 1157 in fingerprint[0]
ret.radarOffCan = ret.sccBus == -1
ret.pcmCruise = not ret.radarOffCan
# set safety_hyundai_community only for non-SCC, MDPS harrness or SCC harrness cars or cars that have unknown issue
if ret.radarOffCan or ret.mdpsBus == 1 or ret.openpilotLongitudinalControl or ret.sccBus == 1 or Params().get_bool('MadModeEnabled'):
ret.safetyConfigs = [get_safety_config(car.CarParams.SafetyModel.hyundaiCommunity, 0)]
return ret
def get_params(candidate, fingerprint=gen_empty_fingerprint(), vin="", has_relay=False):
ret = car.CarParams.new_message()
ret.carName = "honda"
ret.carFingerprint = candidate
ret.carVin = vin
ret.isPandaBlack = has_relay
if candidate in HONDA_BOSCH:
ret.safetyModel = car.CarParams.SafetyModel.hondaBosch
rdr_bus = 0 if has_relay else 2
ret.enableCamera = is_ecu_disconnected(fingerprint[rdr_bus], FINGERPRINTS, ECU_FINGERPRINT, candidate, ECU.CAM) or has_relay
ret.radarOffCan = True
ret.openpilotLongitudinalControl = False
else:
ret.safetyModel = car.CarParams.SafetyModel.honda
ret.enableCamera = is_ecu_disconnected(fingerprint[0], FINGERPRINTS, ECU_FINGERPRINT, candidate, ECU.CAM) or has_relay
ret.enableGasInterceptor = 0x201 in fingerprint[0]
ret.openpilotLongitudinalControl = ret.enableCamera
cloudlog.warning("ECU Camera Simulated: %r", ret.enableCamera)
cloudlog.warning("ECU Gas Interceptor: %r", ret.enableGasInterceptor)
ret.enableCruise = not ret.enableGasInterceptor
ret.communityFeature = ret.enableGasInterceptor
# Certain Hondas have an extra steering sensor at the bottom of the steering rack,
# which improves controls quality as it removes the steering column torsion from feedback.
# Tire stiffness factor fictitiously lower if it includes the steering column torsion effect.
# For modeling details, see p.198-200 in "The Science of Vehicle Dynamics (2014), M. Guiggiani"
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.], [0.]]
ret.lateralTuning.pid.kf = 0.00006 # conservative feed-forward
if candidate in [CAR.CIVIC, CAR.CIVIC_BOSCH]:
stop_and_go = True
ret.mass = CivicParams.MASS
ret.wheelbase = CivicParams.WHEELBASE
ret.centerToFront = CivicParams.CENTER_TO_FRONT
ret.steerRatio = 15.38 # 10.93 is end-to-end spec
tire_stiffness_factor = 1.
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.8], [0.24]]
ret.longitudinalTuning.kpBP = [0., 5., 35.]
ret.longitudinalTuning.kpV = [3.6, 2.4, 1.5]
ret.longitudinalTuning.kiBP = [0., 35.]
ret.longitudinalTuning.kiV = [0.54, 0.36]
elif candidate in (CAR.ACCORD, CAR.ACCORD_15, CAR.ACCORDH):
stop_and_go = True
if not candidate == CAR.ACCORDH: # Hybrid uses same brake msg as hatch
ret.safetyParam = 1 # Accord and CRV 5G use an alternate user brake msg
ret.mass = 3279. * CV.LB_TO_KG + STD_CARGO_KG
ret.wheelbase = 2.83
ret.centerToFront = ret.wheelbase * 0.39
ret.steerRatio = 16.33 # 11.82 is spec end-to-end
tire_stiffness_factor = 0.8467
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.6], [0.18]]
ret.longitudinalTuning.kpBP = [0., 5., 35.]
ret.longitudinalTuning.kpV = [1.2, 0.8, 0.5]
ret.longitudinalTuning.kiBP = [0., 35.]
ret.longitudinalTuning.kiV = [0.18, 0.12]
elif candidate == CAR.ACURA_ILX:
stop_and_go = False
ret.mass = 3095. * CV.LB_TO_KG + STD_CARGO_KG
ret.wheelbase = 2.67
ret.centerToFront = ret.wheelbase * 0.37
ret.steerRatio = 18.61 # 15.3 is spec end-to-end
tire_stiffness_factor = 0.72
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.8], [0.24]]
ret.longitudinalTuning.kpBP = [0., 5., 35.]
ret.longitudinalTuning.kpV = [1.2, 0.8, 0.5]
ret.longitudinalTuning.kiBP = [0., 35.]
ret.longitudinalTuning.kiV = [0.18, 0.12]
elif candidate == CAR.CRV:
stop_and_go = False
ret.mass = 3572. * CV.LB_TO_KG + STD_CARGO_KG
ret.wheelbase = 2.62
ret.centerToFront = ret.wheelbase * 0.41
ret.steerRatio = 16.89 # as spec
tire_stiffness_factor = 0.444
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.8], [0.24]]
ret.longitudinalTuning.kpBP = [0., 5., 35.]
ret.longitudinalTuning.kpV = [1.2, 0.8, 0.5]
ret.longitudinalTuning.kiBP = [0., 35.]
ret.longitudinalTuning.kiV = [0.18, 0.12]
elif candidate == CAR.CRV_5G:
stop_and_go = True
ret.safetyParam = 1 # Accord and CRV 5G use an alternate user brake msg
ret.mass = 3410. * CV.LB_TO_KG + STD_CARGO_KG
ret.wheelbase = 2.66
ret.centerToFront = ret.wheelbase * 0.41
ret.steerRatio = 16.0 # 12.3 is spec end-to-end
tire_stiffness_factor = 0.677
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.6], [0.18]]
ret.longitudinalTuning.kpBP = [0., 5., 35.]
ret.longitudinalTuning.kpV = [1.2, 0.8, 0.5]
ret.longitudinalTuning.kiBP = [0., 35.]
ret.longitudinalTuning.kiV = [0.18, 0.12]
elif candidate == CAR.CRV_HYBRID:
stop_and_go = True
ret.safetyParam = 1 # Accord and CRV 5G use an alternate user brake msg
ret.mass = 1667. + STD_CARGO_KG # mean of 4 models in kg
ret.wheelbase = 2.66
ret.centerToFront = ret.wheelbase * 0.41
ret.steerRatio = 16.0 # 12.3 is spec end-to-end
tire_stiffness_factor = 0.677
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.6], [0.18]]
ret.longitudinalTuning.kpBP = [0., 5., 35.]
ret.longitudinalTuning.kpV = [1.2, 0.8, 0.5]
ret.longitudinalTuning.kiBP = [0., 35.]
ret.longitudinalTuning.kiV = [0.18, 0.12]
elif candidate == CAR.FIT:
stop_and_go = False
ret.mass = 2644. * CV.LB_TO_KG + STD_CARGO_KG
ret.wheelbase = 2.53
ret.centerToFront = ret.wheelbase * 0.39
ret.steerRatio = 13.06
tire_stiffness_factor = 0.75
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.25], [0.06]]
ret.longitudinalTuning.kpBP = [0., 5., 35.]
ret.longitudinalTuning.kpV = [1.2, 0.8, 0.5]
ret.longitudinalTuning.kiBP = [0., 35.]
ret.longitudinalTuning.kiV = [0.18, 0.12]
elif candidate == CAR.ACURA_RDX:
stop_and_go = False
ret.mass = 3935. * CV.LB_TO_KG + STD_CARGO_KG
ret.wheelbase = 2.68
ret.centerToFront = ret.wheelbase * 0.38
ret.steerRatio = 15.0 # as spec
tire_stiffness_factor = 0.444
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.8], [0.24]]
ret.longitudinalTuning.kpBP = [0., 5., 35.]
ret.longitudinalTuning.kpV = [1.2, 0.8, 0.5]
ret.longitudinalTuning.kiBP = [0., 35.]
ret.longitudinalTuning.kiV = [0.18, 0.12]
elif candidate == CAR.ODYSSEY:
stop_and_go = False
ret.mass = 4471. * CV.LB_TO_KG + STD_CARGO_KG
ret.wheelbase = 3.00
ret.centerToFront = ret.wheelbase * 0.41
ret.steerRatio = 14.35 # as spec
tire_stiffness_factor = 0.82
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.45], [0.135]]
ret.longitudinalTuning.kpBP = [0., 5., 35.]
ret.longitudinalTuning.kpV = [1.2, 0.8, 0.5]
ret.longitudinalTuning.kiBP = [0., 35.]
ret.longitudinalTuning.kiV = [0.18, 0.12]
elif candidate == CAR.ODYSSEY_CHN:
stop_and_go = False
ret.mass = 1849.2 + STD_CARGO_KG # mean of 4 models in kg
ret.wheelbase = 2.90
ret.centerToFront = ret.wheelbase * 0.41 # from CAR.ODYSSEY
ret.steerRatio = 14.35
tire_stiffness_factor = 0.82
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.45], [0.135]]
ret.longitudinalTuning.kpBP = [0., 5., 35.]
ret.longitudinalTuning.kpV = [1.2, 0.8, 0.5]
ret.longitudinalTuning.kiBP = [0., 35.]
ret.longitudinalTuning.kiV = [0.18, 0.12]
elif candidate in (CAR.PILOT, CAR.PILOT_2019):
stop_and_go = False
ret.mass = 4204. * CV.LB_TO_KG + STD_CARGO_KG # average weight
ret.wheelbase = 2.82
ret.centerToFront = ret.wheelbase * 0.428
ret.steerRatio = 17.25 # as spec
tire_stiffness_factor = 0.444
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.38], [0.11]]
ret.longitudinalTuning.kpBP = [0., 5., 35.]
ret.longitudinalTuning.kpV = [1.2, 0.8, 0.5]
ret.longitudinalTuning.kiBP = [0., 35.]
ret.longitudinalTuning.kiV = [0.18, 0.12]
elif candidate == CAR.RIDGELINE:
stop_and_go = False
ret.mass = 4515. * CV.LB_TO_KG + STD_CARGO_KG
ret.wheelbase = 3.18
ret.centerToFront = ret.wheelbase * 0.41
ret.steerRatio = 15.59 # as spec
tire_stiffness_factor = 0.444
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.38], [0.11]]
ret.longitudinalTuning.kpBP = [0., 5., 35.]
ret.longitudinalTuning.kpV = [1.2, 0.8, 0.5]
ret.longitudinalTuning.kiBP = [0., 35.]
ret.longitudinalTuning.kiV = [0.18, 0.12]
else:
raise ValueError("unsupported car %s" % candidate)
ret.steerControlType = car.CarParams.SteerControlType.torque
# min speed to enable ACC. if car can do stop and go, then set enabling speed
# to a negative value, so it won't matter. Otherwise, add 0.5 mph margin to not
# conflict with PCM acc
ret.minEnableSpeed = -1. if (stop_and_go or ret.enableGasInterceptor) else 25.5 * CV.MPH_TO_MS
# TODO: get actual value, for now starting with reasonable value for
# civic and scaling by mass and wheelbase
ret.rotationalInertia = scale_rot_inertia(ret.mass, ret.wheelbase)
# TODO: start from empirically derived lateral slip stiffness for the civic and scale by
# mass and CG position, so all cars will have approximately similar dyn behaviors
ret.tireStiffnessFront, ret.tireStiffnessRear = scale_tire_stiffness(ret.mass, ret.wheelbase, ret.centerToFront,
tire_stiffness_factor=tire_stiffness_factor)
# no rear steering, at least on the listed cars above
ret.steerRatioRear = 0.
# no max steer limit VS speed
ret.steerMaxBP = [0.] # m/s
ret.steerMaxV = [1.] # max steer allowed
ret.gasMaxBP = [0.] # m/s
ret.gasMaxV = [0.6] if ret.enableGasInterceptor else [0.] # max gas allowed
ret.brakeMaxBP = [5., 20.] # m/s
ret.brakeMaxV = [1., 0.8] # max brake allowed
ret.longitudinalTuning.deadzoneBP = [0.]
ret.longitudinalTuning.deadzoneV = [0.]
ret.stoppingControl = True
ret.startAccel = 0.5
ret.steerActuatorDelay = 0.1
ret.steerRateCost = 0.5
ret.steerLimitTimer = 0.8
return ret
def get_params(candidate,
fingerprint=gen_empty_fingerprint(),
car_fw=None):
ret = CarInterfaceBase.get_std_params(candidate, fingerprint)
ret.carName = "chrysler"
ret.safetyModel = car.CarParams.SafetyModel.chrysler
# Chrysler port is a community feature, since we don't own one to test
ret.communityFeature = True
# Speed conversion: 20, 45 mph
ret.wheelbase = 3.089 # in meters for Pacifica Hybrid 2017
ret.steerRatio = 16.2 # Pacifica Hybrid 2017
ret.mass = 2858. + STD_CARGO_KG # kg curb weight Pacifica Hybrid 2017
if Params().get('ChryslerMangoMode') == b'0':
ret.lateralTuning.pid.kpBP, ret.lateralTuning.pid.kiBP = [[
9., 20.
], [9., 20.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[
0.1, 0.15
], [0.02, 0.03]]
ret.lateralTuning.pid.kfBP = [0.]
ret.lateralTuning.pid.kfV = [
0.00005
] # full torque for 10 deg at 80mph means 0.00007818594
else:
ret.lateralTuning.pid.kpBP = [0., 10.]
ret.lateralTuning.pid.kpV = [0.01, 0.03]
ret.lateralTuning.pid.kiBP = [0., 30.]
ret.lateralTuning.pid.kiV = [0.02, 0.03]
ret.lateralTuning.pid.kdBP = [0.]
ret.lateralTuning.pid.kdV = [1.]
ret.lateralTuning.pid.kfBP = [0.]
ret.lateralTuning.pid.kfV = [
0.00002
] # full torque for 10 deg at 80mph means 0.00007818594
ret.steerActuatorDelay = 0.01
ret.steerRateCost = 0.4
ret.steerLimitTimer = 0.7
if candidate in (CAR.JEEP_CHEROKEE, CAR.JEEP_CHEROKEE_2019):
ret.wheelbase = 2.91 # in meters
ret.steerRatio = 12.7
ret.steerActuatorDelay = 0.2 # in seconds
ret.centerToFront = ret.wheelbase * 0.44
ret.minSteerSpeed = 3.8 # m/s
if candidate in (CAR.PACIFICA_2019_HYBRID, CAR.PACIFICA_2020,
CAR.JEEP_CHEROKEE_2019):
# TODO allow 2019 cars to steer down to 13 m/s if already engaged.
#ret.minSteerSpeed = 17.5 # m/s 17 on the way up, 13 on the way down once engaged.
ret.minSteerSpeed = 0. # m/s 17 on the way up, 13 on the way down once engaged.
# starting with reasonable value for civic and scaling by mass and wheelbase
ret.rotationalInertia = scale_rot_inertia(ret.mass, ret.wheelbase)
# TODO: start from empirically derived lateral slip stiffness for the civic and scale by
# mass and CG position, so all cars will have approximately similar dyn behaviors
ret.tireStiffnessFront, ret.tireStiffnessRear = scale_tire_stiffness(
ret.mass, ret.wheelbase, ret.centerToFront)
ret.enableCamera = True
return ret
def get_params(candidate,
fingerprint=gen_empty_fingerprint(),
car_fw=None):
ret = CarInterfaceBase.get_std_params(candidate, fingerprint)
ret.carName = "volkswagen"
ret.radarOffCan = True
if True: # pylint: disable=using-constant-test
# Set global MQB parameters
ret.safetyConfigs = [
get_safety_config(car.CarParams.SafetyModel.volkswagen)
]
ret.enableBsm = 0x30F in fingerprint[0] # SWA_01
if 0xAD in fingerprint[0]: # Getriebe_11
ret.transmissionType = TransmissionType.automatic
elif 0x187 in fingerprint[0]: # EV_Gearshift
ret.transmissionType = TransmissionType.direct
else:
ret.transmissionType = TransmissionType.manual
if any(msg in fingerprint[1]
for msg in (0x40, 0x86, 0xB2,
0xFD)): # Airbag_01, LWI_01, ESP_19, ESP_21
ret.networkLocation = NetworkLocation.gateway
else:
ret.networkLocation = NetworkLocation.fwdCamera
# Global lateral tuning defaults, can be overridden per-vehicle
ret.steerActuatorDelay = 0.1
ret.steerRateCost = 1.0
ret.steerLimitTimer = 0.4
ret.steerRatio = 15.6 # Let the params learner figure this out
tire_stiffness_factor = 1.0 # Let the params learner figure this out
ret.lateralTuning.pid.kpBP = [0.]
ret.lateralTuning.pid.kiBP = [0.]
ret.lateralTuning.pid.kf = 0.00006
ret.lateralTuning.pid.kpV = [0.6]
ret.lateralTuning.pid.kiV = [0.2]
# Per-chassis tuning values, override tuning defaults here if desired
if candidate == CAR.ARTEON_MK1:
ret.mass = 1733 + STD_CARGO_KG
ret.wheelbase = 2.84
elif candidate == CAR.ATLAS_MK1:
ret.mass = 2011 + STD_CARGO_KG
ret.wheelbase = 2.98
elif candidate == CAR.GOLF_MK7:
ret.mass = 1397 + STD_CARGO_KG
ret.wheelbase = 2.62
elif candidate == CAR.JETTA_MK7:
ret.mass = 1328 + STD_CARGO_KG
ret.wheelbase = 2.71
elif candidate == CAR.PASSAT_MK8:
ret.mass = 1551 + STD_CARGO_KG
ret.wheelbase = 2.79
elif candidate == CAR.POLO_MK6:
ret.mass = 1230 + STD_CARGO_KG
ret.wheelbase = 2.55
elif candidate == CAR.TAOS_MK1:
ret.mass = 1498 + STD_CARGO_KG
ret.wheelbase = 2.69
elif candidate == CAR.TCROSS_MK1:
ret.mass = 1150 + STD_CARGO_KG
ret.wheelbase = 2.60
elif candidate == CAR.TIGUAN_MK2:
ret.mass = 1715 + STD_CARGO_KG
ret.wheelbase = 2.74
elif candidate == CAR.TOURAN_MK2:
ret.mass = 1516 + STD_CARGO_KG
ret.wheelbase = 2.79
elif candidate == CAR.TRANSPORTER_T61:
ret.mass = 1926 + STD_CARGO_KG
ret.wheelbase = 3.00 # SWB, LWB is 3.40, TBD how to detect difference
ret.minSteerSpeed = 14.0
elif candidate == CAR.TROC_MK1:
ret.mass = 1413 + STD_CARGO_KG
ret.wheelbase = 2.63
elif candidate == CAR.AUDI_A3_MK3:
ret.mass = 1335 + STD_CARGO_KG
ret.wheelbase = 2.61
elif candidate == CAR.AUDI_Q2_MK1:
ret.mass = 1205 + STD_CARGO_KG
ret.wheelbase = 2.61
elif candidate == CAR.AUDI_Q3_MK2:
ret.mass = 1623 + STD_CARGO_KG
ret.wheelbase = 2.68
elif candidate == CAR.SEAT_ATECA_MK1:
ret.mass = 1900 + STD_CARGO_KG
ret.wheelbase = 2.64
elif candidate == CAR.SEAT_LEON_MK3:
ret.mass = 1227 + STD_CARGO_KG
ret.wheelbase = 2.64
elif candidate == CAR.SKODA_KAMIQ_MK1:
ret.mass = 1265 + STD_CARGO_KG
ret.wheelbase = 2.66
elif candidate == CAR.SKODA_KAROQ_MK1:
ret.mass = 1278 + STD_CARGO_KG
ret.wheelbase = 2.66
elif candidate == CAR.SKODA_KODIAQ_MK1:
ret.mass = 1569 + STD_CARGO_KG
ret.wheelbase = 2.79
elif candidate == CAR.SKODA_OCTAVIA_MK3:
ret.mass = 1388 + STD_CARGO_KG
ret.wheelbase = 2.68
elif candidate == CAR.SKODA_SCALA_MK1:
ret.mass = 1192 + STD_CARGO_KG
ret.wheelbase = 2.65
elif candidate == CAR.SKODA_SUPERB_MK3:
ret.mass = 1505 + STD_CARGO_KG
ret.wheelbase = 2.84
else:
raise ValueError(f"unsupported car {candidate}")
ret.rotationalInertia = scale_rot_inertia(ret.mass, ret.wheelbase)
ret.centerToFront = ret.wheelbase * 0.45
ret.tireStiffnessFront, ret.tireStiffnessRear = scale_tire_stiffness(
ret.mass,
ret.wheelbase,
ret.centerToFront,
tire_stiffness_factor=tire_stiffness_factor)
return ret
def get_params(candidate,
fingerprint=gen_empty_fingerprint(),
car_fw=None):
ret = CarInterfaceBase.get_std_params(candidate, fingerprint)
ret.carName = "mazda"
ret.safetyConfigs = [
get_safety_config(car.CarParams.SafetyModel.mazda)
]
ret.radarOffCan = True
ret.dashcamOnly = candidate not in (CAR.CX5_2022, CAR.CX9_2021)
ret.steerActuatorDelay = 0.1
ret.steerRateCost = 1.0
ret.steerLimitTimer = 0.8
tire_stiffness_factor = 0.70 # not optimized yet
if candidate in (CAR.CX5, CAR.CX5_2022):
ret.mass = 3655 * CV.LB_TO_KG + STD_CARGO_KG
ret.wheelbase = 2.7
ret.steerRatio = 15.5
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.19],
[0.019]]
ret.lateralTuning.pid.kf = 0.00006
elif candidate in (CAR.CX9, CAR.CX9_2021):
ret.mass = 4217 * CV.LB_TO_KG + STD_CARGO_KG
ret.wheelbase = 3.1
ret.steerRatio = 17.6
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.19],
[0.019]]
ret.lateralTuning.pid.kf = 0.00006
elif candidate == CAR.MAZDA3:
ret.mass = 2875 * CV.LB_TO_KG + STD_CARGO_KG
ret.wheelbase = 2.7
ret.steerRatio = 14.0
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.19],
[0.019]]
ret.lateralTuning.pid.kf = 0.00006
elif candidate == CAR.MAZDA6:
ret.mass = 3443 * CV.LB_TO_KG + STD_CARGO_KG
ret.wheelbase = 2.83
ret.steerRatio = 15.5
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.19],
[0.019]]
ret.lateralTuning.pid.kf = 0.00006
if candidate not in (CAR.CX5_2022, ):
ret.minSteerSpeed = LKAS_LIMITS.DISABLE_SPEED * CV.KPH_TO_MS
ret.centerToFront = ret.wheelbase * 0.41
# TODO: get actual value, for now starting with reasonable value for
# civic and scaling by mass and wheelbase
ret.rotationalInertia = scale_rot_inertia(ret.mass, ret.wheelbase)
# TODO: start from empirically derived lateral slip stiffness for the civic and scale by
# mass and CG position, so all cars will have approximately similar dyn behaviors
ret.tireStiffnessFront, ret.tireStiffnessRear = scale_tire_stiffness(
ret.mass,
ret.wheelbase,
ret.centerToFront,
tire_stiffness_factor=tire_stiffness_factor)
return ret
def get_params(candidate,
fingerprint=gen_empty_fingerprint(),
has_relay=False,
car_fw=[]):
ret = car.CarParams.new_message()
ret.carName = "toyota"
ret.carFingerprint = candidate
ret.isPandaBlack = has_relay
ret.safetyModel = car.CarParams.SafetyModel.toyota
ret.enableCruise = True
ret.steerActuatorDelay = 0.12 # Default delay, Prius has larger delay
ret.steerLimitTimer = 0.4
if candidate not in [CAR.PRIUS, CAR.RAV4,
CAR.RAV4H]: # These cars use LQR/INDI
ret.lateralTuning.init('pid')
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
if candidate == CAR.PRIUS:
stop_and_go = True
ret.safetyParam = 66 # see conversion factor for STEER_TORQUE_EPS in dbc file
ret.wheelbase = 2.70
ret.steerRatio = 15.74 # unknown end-to-end spec
tire_stiffness_factor = 0.6371 # hand-tune
ret.mass = 3045. * CV.LB_TO_KG + STD_CARGO_KG
ret.lateralTuning.init('indi')
ret.lateralTuning.indi.innerLoopGain = 4.0
ret.lateralTuning.indi.outerLoopGain = 3.0
ret.lateralTuning.indi.timeConstant = 1.0
ret.lateralTuning.indi.actuatorEffectiveness = 1.0
# TODO: Determine if this is better than INDI
# ret.lateralTuning.init('lqr')
# ret.lateralTuning.lqr.scale = 1500.0
# ret.lateralTuning.lqr.ki = 0.01
# ret.lateralTuning.lqr.a = [0., 1., -0.22619643, 1.21822268]
# ret.lateralTuning.lqr.b = [-1.92006585e-04, 3.95603032e-05]
# ret.lateralTuning.lqr.c = [1., 0.]
# ret.lateralTuning.lqr.k = [-110.73572306, 451.22718255]
# ret.lateralTuning.lqr.l = [0.03233671, 0.03185757]
# ret.lateralTuning.lqr.dcGain = 0.002237852961363602
ret.steerActuatorDelay = 0.5
elif candidate in [CAR.RAV4, CAR.RAV4H]:
stop_and_go = True if (candidate in CAR.RAV4H) else False
ret.safetyParam = 73
ret.wheelbase = 2.65
ret.steerRatio = 16.88 # 14.5 is spec end-to-end
tire_stiffness_factor = 0.5533
ret.mass = 3650. * CV.LB_TO_KG + STD_CARGO_KG # mean between normal and hybrid
ret.lateralTuning.init('lqr')
ret.lateralTuning.lqr.scale = 1500.0
ret.lateralTuning.lqr.ki = 0.05
ret.lateralTuning.lqr.a = [0., 1., -0.22619643, 1.21822268]
ret.lateralTuning.lqr.b = [-1.92006585e-04, 3.95603032e-05]
ret.lateralTuning.lqr.c = [1., 0.]
ret.lateralTuning.lqr.k = [-110.73572306, 451.22718255]
ret.lateralTuning.lqr.l = [0.3233671, 0.3185757]
ret.lateralTuning.lqr.dcGain = 0.002237852961363602
elif candidate == CAR.COROLLA:
stop_and_go = False
ret.safetyParam = 100
ret.wheelbase = 2.70
ret.steerRatio = 18.27
tire_stiffness_factor = 0.444 # not optimized yet
ret.mass = 2860. * CV.LB_TO_KG + STD_CARGO_KG # mean between normal and hybrid
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.2],
[0.05]]
ret.lateralTuning.pid.kf = 0.00003 # full torque for 20 deg at 80mph means 0.00007818594
elif candidate == CAR.LEXUS_RXH:
stop_and_go = True
ret.safetyParam = 73
ret.wheelbase = 2.79
ret.steerRatio = 16. # 14.8 is spec end-to-end
tire_stiffness_factor = 0.444 # not optimized yet
ret.mass = 4481. * CV.LB_TO_KG + STD_CARGO_KG # mean between min and max
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.6],
[0.1]]
ret.lateralTuning.pid.kf = 0.00006 # full torque for 10 deg at 80mph means 0.00007818594
elif candidate in [CAR.CHR, CAR.CHRH]:
stop_and_go = True
ret.safetyParam = 73
ret.wheelbase = 2.63906
ret.steerRatio = 13.6
tire_stiffness_factor = 0.7933
ret.mass = 3300. * CV.LB_TO_KG + STD_CARGO_KG
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.723],
[0.0428]]
ret.lateralTuning.pid.kf = 0.00006
elif candidate in [CAR.CAMRY, CAR.CAMRYH]:
stop_and_go = True
ret.safetyParam = 73
ret.wheelbase = 2.82448
ret.steerRatio = 13.7
tire_stiffness_factor = 0.7933
ret.mass = 3400. * CV.LB_TO_KG + STD_CARGO_KG #mean between normal and hybrid
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.6],
[0.1]]
ret.lateralTuning.pid.kf = 0.00006
elif candidate in [CAR.HIGHLANDER, CAR.HIGHLANDERH]:
stop_and_go = True
ret.safetyParam = 73
ret.wheelbase = 2.78
ret.steerRatio = 16.0
tire_stiffness_factor = 0.8
ret.mass = 4607. * CV.LB_TO_KG + STD_CARGO_KG #mean between normal and hybrid limited
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[
0.18
], [0.015]] # community tuning
ret.lateralTuning.pid.kf = 0.00012 # community tuning
elif candidate == CAR.AVALON:
stop_and_go = False
ret.safetyParam = 73
ret.wheelbase = 2.82
ret.steerRatio = 14.8 #Found at https://pressroom.toyota.com/releases/2016+avalon+product+specs.download
tire_stiffness_factor = 0.7983
ret.mass = 3505. * CV.LB_TO_KG + STD_CARGO_KG # mean between normal and hybrid
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.17],
[0.03]]
ret.lateralTuning.pid.kf = 0.00006
elif candidate == CAR.RAV4_TSS2:
stop_and_go = True
ret.safetyParam = 73
ret.wheelbase = 2.68986
ret.steerRatio = 14.3
tire_stiffness_factor = 0.7933
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.6],
[0.1]]
ret.mass = 3370. * CV.LB_TO_KG + STD_CARGO_KG
ret.lateralTuning.pid.kf = 0.00007818594
elif candidate in [CAR.COROLLA_TSS2, CAR.COROLLAH_TSS2]:
stop_and_go = True
ret.safetyParam = 73
ret.wheelbase = 2.63906
ret.steerRatio = 13.9
tire_stiffness_factor = 0.444 # not optimized yet
ret.mass = 3060. * CV.LB_TO_KG + STD_CARGO_KG
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.6],
[0.1]]
ret.lateralTuning.pid.kf = 0.00007818594
elif candidate in [CAR.LEXUS_ES_TSS2, CAR.LEXUS_ESH_TSS2]:
stop_and_go = True
ret.safetyParam = 73
ret.wheelbase = 2.8702
ret.steerRatio = 16.0 # not optimized
tire_stiffness_factor = 0.444 # not optimized yet
ret.mass = 3704. * CV.LB_TO_KG + STD_CARGO_KG
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.6],
[0.1]]
ret.lateralTuning.pid.kf = 0.00007818594
elif candidate == CAR.SIENNA:
stop_and_go = True
ret.safetyParam = 73
ret.wheelbase = 3.03
ret.steerRatio = 16.0
tire_stiffness_factor = 0.444
ret.mass = 4590. * CV.LB_TO_KG + STD_CARGO_KG
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.3],
[0.05]]
ret.lateralTuning.pid.kf = 0.00007818594
elif candidate == CAR.LEXUS_IS:
stop_and_go = False
ret.safetyParam = 77
ret.wheelbase = 2.79908
ret.steerRatio = 13.3
tire_stiffness_factor = 0.444
ret.mass = 3736.8 * CV.LB_TO_KG + STD_CARGO_KG
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.3],
[0.05]]
ret.lateralTuning.pid.kf = 0.00006
elif candidate == CAR.LEXUS_CTH:
stop_and_go = True
ret.safetyParam = 100
ret.wheelbase = 2.60
ret.steerRatio = 18.6
tire_stiffness_factor = 0.517
ret.mass = 3108 * CV.LB_TO_KG + STD_CARGO_KG # mean between min and max
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.3],
[0.05]]
ret.lateralTuning.pid.kf = 0.00007
elif candidate == CAR.OLD_CAR:
stop_and_go = True
ret.safetyParam = 100
ret.wheelbase = 2.455
ret.steerRatio = 13.0
tire_stiffness_factor = 0.444
ret.mass = 6200.0
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.3],
[0.05]]
ret.lateralTuning.pid.kf = 0.00003 # full torque for 20 deg at 80mph means 0.00007818594
ret.steerRateCost = 1.
ret.centerToFront = ret.wheelbase * 0.44
# TODO: get actual value, for now starting with reasonable value for
# civic and scaling by mass and wheelbase
ret.rotationalInertia = scale_rot_inertia(ret.mass, ret.wheelbase)
# TODO: start from empirically derived lateral slip stiffness for the civic and scale by
# mass and CG position, so all cars will have approximately similar dyn behaviors
ret.tireStiffnessFront, ret.tireStiffnessRear = scale_tire_stiffness(
ret.mass,
ret.wheelbase,
ret.centerToFront,
tire_stiffness_factor=tire_stiffness_factor)
# no rear steering, at least on the listed cars above
ret.steerRatioRear = 0.
ret.steerControlType = car.CarParams.SteerControlType.torque
# steer, gas, brake limitations VS speed
ret.steerMaxBP = [16. * CV.KPH_TO_MS,
45. * CV.KPH_TO_MS] # breakpoints at 1 and 40 kph
ret.steerMaxV = [1., 1.] # 2/3rd torque allowed above 45 kph
ret.brakeMaxBP = [0.]
ret.brakeMaxV = [1.]
ret.enableCamera = is_ecu_disconnected(fingerprint[0], FINGERPRINTS,
ECU_FINGERPRINT, candidate,
ECU.CAM) or has_relay
# In TSS2 cars the camera does long control
ret.enableDsu = is_ecu_disconnected(
fingerprint[0], FINGERPRINTS, ECU_FINGERPRINT, candidate,
ECU.DSU) and candidate not in TSS2_CAR
ret.enableApgs = False # is_ecu_disconnected(fingerprint[0], FINGERPRINTS, ECU_FINGERPRINT, candidate, ECU.APGS)
ret.enableGasInterceptor = True #0x201 in fingerprint[0]
ret.openpilotLongitudinalControl = ret.enableCamera and (
ret.enableDsu or candidate in TSS2_CAR)
cloudlog.warning("ECU Camera Simulated: %r", ret.enableCamera)
cloudlog.warning("ECU DSU Simulated: %r", ret.enableDsu)
cloudlog.warning("ECU APGS Simulated: %r", ret.enableApgs)
cloudlog.warning("ECU Gas Interceptor: %r", ret.enableGasInterceptor)
# min speed to enable ACC. if car can do stop and go, then set enabling speed
# to a negative value, so it won't matter.
ret.minEnableSpeed = -1. if (
stop_and_go or ret.enableGasInterceptor) else 19. * CV.MPH_TO_MS
# removing the DSU disables AEB and it's considered a community maintained feature
ret.communityFeature = ret.enableGasInterceptor or ret.enableDsu
ret.longitudinalTuning.deadzoneBP = [0., 9.]
ret.longitudinalTuning.deadzoneV = [0., .15]
ret.longitudinalTuning.kpBP = [0., 5., 35.]
ret.longitudinalTuning.kiBP = [0., 35.]
ret.stoppingControl = False
ret.startAccel = 0.0
if ret.enableGasInterceptor:
ret.gasMaxBP = [0., 9., 35]
ret.gasMaxV = [0.2, 0.5, 0.7]
ret.longitudinalTuning.kpV = [1.2, 0.8, 0.5]
ret.longitudinalTuning.kiV = [0.18, 0.12]
else:
ret.gasMaxBP = [0.]
ret.gasMaxV = [0.5]
ret.longitudinalTuning.kpV = [3.6, 2.4, 1.5]
ret.longitudinalTuning.kiV = [0.54, 0.36]
return ret
def get_params(candidate,
fingerprint=gen_empty_fingerprint(),
has_relay=False,
car_fw=[]):
ret = car.CarParams.new_message()
ret.carName = "hyundai"
ret.carFingerprint = candidate
ret.isPandaBlack = has_relay
ret.radarOffCan = True
ret.safetyModel = car.CarParams.SafetyModel.hyundai
ret.enableCruise = True # stock acc
ret.steerActuatorDelay = 0.1 # Default delay
ret.steerRateCost = 0.5
ret.steerLimitTimer = 0.4
tire_stiffness_factor = 1.
if candidate == CAR.SANTA_FE:
ret.lateralTuning.pid.kf = 0.00005
ret.mass = 3982. * CV.LB_TO_KG + STD_CARGO_KG
ret.wheelbase = 2.766
# Values from optimizer
ret.steerRatio = 16.55 # 13.8 is spec end-to-end
tire_stiffness_factor = 0.82
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[
9., 22.
], [9., 22.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[
0.2, 0.35
], [0.05, 0.09]]
ret.minSteerSpeed = 0.
elif candidate == CAR.KIA_SORENTO:
ret.lateralTuning.pid.kf = 0.00005
ret.mass = 1985. + STD_CARGO_KG
ret.wheelbase = 2.78
ret.steerRatio = 14.4 * 1.1 # 10% higher at the center seems reasonable
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.25],
[0.05]]
ret.minSteerSpeed = 0.
elif candidate == CAR.ELANTRA:
ret.lateralTuning.pid.kf = 0.00006
ret.mass = 1275. + STD_CARGO_KG
ret.wheelbase = 2.7
ret.steerRatio = 13.73 #Spec
tire_stiffness_factor = 0.385
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.25],
[0.05]]
ret.minSteerSpeed = 32 * CV.MPH_TO_MS
elif candidate == CAR.GENESIS:
ret.lateralTuning.pid.kf = 0.00005
ret.mass = 2060. + STD_CARGO_KG
ret.wheelbase = 3.01
ret.steerRatio = 16.5
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.16],
[0.01]]
ret.minSteerSpeed = 35 * CV.MPH_TO_MS
elif candidate == CAR.KIA_OPTIMA:
ret.lateralTuning.pid.kf = 0.00005
ret.mass = 3558. * CV.LB_TO_KG
ret.wheelbase = 2.80
ret.steerRatio = 13.75
tire_stiffness_factor = 0.5
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.25],
[0.05]]
elif candidate == CAR.KIA_STINGER:
ret.lateralTuning.pid.kf = 0.00005
ret.mass = 1825. + STD_CARGO_KG
ret.wheelbase = 2.78
ret.steerRatio = 14.4 * 1.15 # 15% higher at the center seems reasonable
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.25],
[0.05]]
ret.minSteerSpeed = 0.
ret.minEnableSpeed = -1. # enable is done by stock ACC, so ignore this
ret.longitudinalTuning.kpBP = [0.]
ret.longitudinalTuning.kpV = [0.]
ret.longitudinalTuning.kiBP = [0.]
ret.longitudinalTuning.kiV = [0.]
ret.longitudinalTuning.deadzoneBP = [0.]
ret.longitudinalTuning.deadzoneV = [0.]
ret.centerToFront = ret.wheelbase * 0.4
# TODO: get actual value, for now starting with reasonable value for
# civic and scaling by mass and wheelbase
ret.rotationalInertia = scale_rot_inertia(ret.mass, ret.wheelbase)
# TODO: start from empirically derived lateral slip stiffness for the civic and scale by
# mass and CG position, so all cars will have approximately similar dyn behaviors
ret.tireStiffnessFront, ret.tireStiffnessRear = scale_tire_stiffness(
ret.mass,
ret.wheelbase,
ret.centerToFront,
tire_stiffness_factor=tire_stiffness_factor)
# no rear steering, at least on the listed cars above
ret.steerRatioRear = 0.
ret.steerControlType = car.CarParams.SteerControlType.torque
# steer, gas, brake limitations VS speed
ret.steerMaxBP = [0.]
ret.steerMaxV = [1.0]
ret.gasMaxBP = [0.]
ret.gasMaxV = [1.]
ret.brakeMaxBP = [0.]
ret.brakeMaxV = [1.]
ret.enableCamera = is_ecu_disconnected(fingerprint[0], FINGERPRINTS,
ECU_FINGERPRINT, candidate,
Ecu.fwdCamera) or has_relay
ret.openpilotLongitudinalControl = False
ret.stoppingControl = False
ret.startAccel = 0.0
return ret
def get_params(candidate, fingerprint=gen_empty_fingerprint(), car_fw=[]): # pylint: disable=dangerous-default-value
ret = CarInterfaceBase.get_std_params(candidate, fingerprint)
ret.openpilotLongitudinalControl = Params().get_bool(
'LongControlEnabled')
ret.carName = "hyundai"
ret.safetyModel = car.CarParams.SafetyModel.hyundaiLegacy
if candidate in [CAR.SONATA]:
ret.safetyModel = car.CarParams.SafetyModel.hyundai
# Most Hyundai car ports are community features for now
ret.communityFeature = True
tire_stiffness_factor = 1.
eps_modified = False
for fw in car_fw:
if fw.ecu == "eps" and b"," in fw.fwVersion:
eps_modified = True
ret.maxSteeringAngleDeg = 90.
# lateral
ret.lateralTuning.init('lqr')
ret.lateralTuning.lqr.scale = 1700.
ret.lateralTuning.lqr.ki = 0.01
ret.lateralTuning.lqr.dcGain = 0.0028
ret.lateralTuning.lqr.a = [0., 1., -0.22619643, 1.21822268]
ret.lateralTuning.lqr.b = [-1.92006585e-04, 3.95603032e-05]
ret.lateralTuning.lqr.c = [1., 0.]
ret.lateralTuning.lqr.k = [-110., 451.]
ret.lateralTuning.lqr.l = [0.33, 0.318]
ret.steerRatio = 16.5
ret.steerActuatorDelay = 0.1
ret.steerLimitTimer = 2.5
ret.steerRateCost = 0.4
ret.steerMaxBP = [0.]
ret.steerMaxV = [1.5]
# longitudinal
ret.longitudinalTuning.kpBP = [
0., 10. * CV.KPH_TO_MS, 20. * CV.KPH_TO_MS, 40. * CV.KPH_TO_MS,
70. * CV.KPH_TO_MS, 100. * CV.KPH_TO_MS, 130. * CV.KPH_TO_MS
]
ret.longitudinalTuning.kpV = [1.3, 0.98, 0.83, 0.75, 0.655, 0.57, 0.48]
ret.longitudinalTuning.kiBP = [0., 130. * CV.KPH_TO_MS]
ret.longitudinalTuning.kiV = [0.05, 0.03]
ret.longitudinalTuning.deadzoneBP = [0., 100. * CV.KPH_TO_MS]
ret.longitudinalTuning.deadzoneV = [0., 0.015]
ret.longitudinalActuatorDelay = 0.2
ret.stoppingDecelRate = 0.6 # m/s^2/s while trying to stop
ret.startingAccelRate = 3.2 # m/s^2/s while trying to start
# genesis
if candidate == CAR.GENESIS:
ret.mass = 1900. + STD_CARGO_KG
ret.wheelbase = 3.01
ret.centerToFront = ret.wheelbase * 0.4
elif candidate == CAR.GENESIS_G70:
ret.mass = 1640. + STD_CARGO_KG
ret.wheelbase = 2.84
ret.centerToFront = ret.wheelbase * 0.4
elif candidate == CAR.GENESIS_G80:
ret.mass = 1855. + STD_CARGO_KG
ret.wheelbase = 3.01
ret.centerToFront = ret.wheelbase * 0.4
elif candidate == CAR.GENESIS_EQ900:
ret.mass = 2200
ret.wheelbase = 3.15
ret.centerToFront = ret.wheelbase * 0.4
elif candidate == CAR.GENESIS_EQ900_L:
ret.mass = 2290
ret.wheelbase = 3.45
ret.centerToFront = ret.wheelbase * 0.4
elif candidate == CAR.GENESIS_G90:
ret.mass = 2150
ret.wheelbase = 3.16
ret.centerToFront = ret.wheelbase * 0.4
# hyundai
elif candidate in [CAR.SANTA_FE]:
ret.mass = 1694 + STD_CARGO_KG
ret.wheelbase = 2.766
ret.centerToFront = ret.wheelbase * 0.4
elif candidate in [CAR.SONATA, CAR.SONATA_HEV, CAR.SONATA21_HEV]:
ret.mass = 1513. + STD_CARGO_KG
ret.wheelbase = 2.84
ret.centerToFront = ret.wheelbase * 0.4
tire_stiffness_factor = 0.65
elif candidate in [CAR.SONATA19, CAR.SONATA19_HEV]:
ret.mass = 4497. * CV.LB_TO_KG
ret.wheelbase = 2.804
ret.centerToFront = ret.wheelbase * 0.4
elif candidate == CAR.SONATA_LF_TURBO:
ret.mass = 1590. + STD_CARGO_KG
ret.wheelbase = 2.805
tire_stiffness_factor = 0.65
ret.centerToFront = ret.wheelbase * 0.4
elif candidate == CAR.PALISADE:
ret.mass = 1999. + STD_CARGO_KG
ret.wheelbase = 2.90
ret.centerToFront = ret.wheelbase * 0.4
if eps_modified:
ret.maxSteeringAngleDeg = 1000.
elif candidate in [CAR.ELANTRA, CAR.ELANTRA_GT_I30]:
ret.mass = 1275. + STD_CARGO_KG
ret.wheelbase = 2.7
tire_stiffness_factor = 0.7
ret.centerToFront = ret.wheelbase * 0.4
elif candidate == CAR.ELANTRA_2021:
ret.mass = (2800. * CV.LB_TO_KG) + STD_CARGO_KG
ret.wheelbase = 2.72
ret.steerRatio = 13.27 * 1.15 # 15% higher at the center seems reasonable
tire_stiffness_factor = 0.65
ret.centerToFront = ret.wheelbase * 0.4
elif candidate == CAR.ELANTRA_HEV_2021:
ret.mass = (3017. * CV.LB_TO_KG) + STD_CARGO_KG
ret.wheelbase = 2.72
ret.steerRatio = 13.27 * 1.15 # 15% higher at the center seems reasonable
tire_stiffness_factor = 0.65
ret.centerToFront = ret.wheelbase * 0.4
elif candidate == CAR.KONA:
ret.mass = 1275. + STD_CARGO_KG
ret.wheelbase = 2.7
tire_stiffness_factor = 0.7
ret.centerToFront = ret.wheelbase * 0.4
elif candidate in [CAR.KONA_HEV, CAR.KONA_EV]:
ret.mass = 1395. + STD_CARGO_KG
ret.wheelbase = 2.6
tire_stiffness_factor = 0.7
ret.centerToFront = ret.wheelbase * 0.4
elif candidate in [
CAR.IONIQ, CAR.IONIQ_EV_LTD, CAR.IONIQ_EV_2020, CAR.IONIQ_PHEV
]:
ret.mass = 1490. + STD_CARGO_KG
ret.wheelbase = 2.7
tire_stiffness_factor = 0.385
#if candidate not in [CAR.IONIQ_EV_2020, CAR.IONIQ_PHEV]:
# ret.minSteerSpeed = 32 * CV.MPH_TO_MS
ret.centerToFront = ret.wheelbase * 0.4
elif candidate in [CAR.GRANDEUR_IG, CAR.GRANDEUR_IG_HEV]:
tire_stiffness_factor = 0.8
ret.mass = 1640. + STD_CARGO_KG
ret.wheelbase = 2.845
ret.maxSteeringAngleDeg = 120.
ret.centerToFront = ret.wheelbase * 0.385
elif candidate in [CAR.GRANDEUR_IG_FL, CAR.GRANDEUR_IG_FL_HEV]:
tire_stiffness_factor = 0.8
ret.mass = 1725. + STD_CARGO_KG
ret.wheelbase = 2.885
ret.maxSteeringAngleDeg = 120.
ret.centerToFront = ret.wheelbase * 0.385
elif candidate == CAR.VELOSTER:
ret.mass = 3558. * CV.LB_TO_KG
ret.wheelbase = 2.80
tire_stiffness_factor = 0.9
ret.centerToFront = ret.wheelbase * 0.4
elif candidate == CAR.TUCSON_TL_SCC:
ret.mass = 1594. + STD_CARGO_KG #1730
ret.wheelbase = 2.67
tire_stiffness_factor = 0.7
ret.centerToFront = ret.wheelbase * 0.4
ret.maxSteeringAngleDeg = 120.
ret.startAccel = 0.5
# kia
elif candidate == CAR.SORENTO:
ret.mass = 1985. + STD_CARGO_KG
ret.wheelbase = 2.78
tire_stiffness_factor = 0.7
ret.centerToFront = ret.wheelbase * 0.4
elif candidate in [CAR.K5, CAR.K5_HEV]:
ret.mass = 3558. * CV.LB_TO_KG
ret.wheelbase = 2.80
tire_stiffness_factor = 0.7
ret.centerToFront = ret.wheelbase * 0.4
elif candidate == CAR.STINGER:
tire_stiffness_factor = 1.125 # LiveParameters (Tunder's 2020)
ret.mass = 1825.0 + STD_CARGO_KG
ret.wheelbase = 2.906
ret.centerToFront = ret.wheelbase * 0.4
elif candidate == CAR.FORTE:
ret.mass = 3558. * CV.LB_TO_KG
ret.wheelbase = 2.80
tire_stiffness_factor = 0.7
ret.centerToFront = ret.wheelbase * 0.4
elif candidate == CAR.CEED:
ret.mass = 1350. + STD_CARGO_KG
ret.wheelbase = 2.65
tire_stiffness_factor = 0.6
ret.centerToFront = ret.wheelbase * 0.4
elif candidate == CAR.SPORTAGE:
ret.mass = 1985. + STD_CARGO_KG
ret.wheelbase = 2.78
tire_stiffness_factor = 0.7
ret.centerToFront = ret.wheelbase * 0.4
elif candidate in [CAR.NIRO_EV, CAR.NIRO_HEV, CAR.NIRO21_HEV]:
ret.mass = 1737. + STD_CARGO_KG
ret.wheelbase = 2.7
tire_stiffness_factor = 0.7
ret.centerToFront = ret.wheelbase * 0.4
elif candidate in [CAR.K7, CAR.K7_HEV]:
tire_stiffness_factor = 0.7
ret.mass = 1650. + STD_CARGO_KG
ret.wheelbase = 2.855
ret.centerToFront = ret.wheelbase * 0.4
elif candidate == CAR.SELTOS:
ret.mass = 1310. + STD_CARGO_KG
ret.wheelbase = 2.6
tire_stiffness_factor = 0.7
ret.centerToFront = ret.wheelbase * 0.4
elif candidate == CAR.K9:
ret.mass = 2005. + STD_CARGO_KG
ret.wheelbase = 3.15
ret.centerToFront = ret.wheelbase * 0.4
tire_stiffness_factor = 0.8
ret.radarTimeStep = 0.05
if ret.centerToFront == 0:
ret.centerToFront = ret.wheelbase * 0.4
# TODO: get actual value, for now starting with reasonable value for
# civic and scaling by mass and wheelbase
ret.rotationalInertia = scale_rot_inertia(ret.mass, ret.wheelbase)
# TODO: start from empirically derived lateral slip stiffness for the civic and scale by
# mass and CG position, so all cars will have approximately similar dyn behaviors
ret.tireStiffnessFront, ret.tireStiffnessRear = scale_tire_stiffness(
ret.mass,
ret.wheelbase,
ret.centerToFront,
tire_stiffness_factor=tire_stiffness_factor)
# no rear steering, at least on the listed cars above
ret.steerRatioRear = 0.
ret.steerControlType = car.CarParams.SteerControlType.torque
ret.stoppingControl = True
ret.enableBsm = 0x58b in fingerprint[0]
ret.enableAutoHold = 1151 in fingerprint[0]
# ignore CAN2 address if L-CAN on the same BUS
ret.mdpsBus = 1 if 593 in fingerprint[1] and 1296 not in fingerprint[
1] else 0
ret.sasBus = 1 if 688 in fingerprint[1] and 1296 not in fingerprint[
1] else 0
ret.sccBus = 0 if 1056 in fingerprint[0] else 1 if 1056 in fingerprint[1] and 1296 not in fingerprint[1] \
else 2 if 1056 in fingerprint[2] else -1
if ret.sccBus >= 0:
ret.hasScc13 = 1290 in fingerprint[ret.sccBus]
ret.hasScc14 = 905 in fingerprint[ret.sccBus]
ret.hasEms = 608 in fingerprint[0] and 809 in fingerprint[0]
print('fingerprint', fingerprint)
ret.radarOffCan = ret.sccBus == -1
ret.pcmCruise = not ret.radarOffCan
# set safety_hyundai_community only for non-SCC, MDPS harrness or SCC harrness cars or cars that have unknown issue
if ret.radarOffCan or ret.mdpsBus == 1 or ret.openpilotLongitudinalControl or ret.sccBus == 1 or Params(
).get_bool('MadModeEnabled'):
ret.safetyModel = car.CarParams.SafetyModel.hyundaiCommunity
return ret
def get_params(candidate,
fingerprint=gen_empty_fingerprint(),
has_relay=False,
car_fw=[]):
ret = CarInterfaceBase.get_std_params(candidate, fingerprint,
has_relay)
ret = car.CarParams.new_message()
ret.carName = "hyundai"
ret.carFingerprint = candidate
ret.isPandaBlack = has_relay
ret.safetyModel = car.CarParams.SafetyModel.hyundai
ret.enableCruise = True # stock acc
# Hyundai port is a community feature for now
ret.communityFeature = False
ret.steerActuatorDelay = 0.1 # Default delay
ret.steerRateCost = 0.45
ret.steerLimitTimer = 0.8
tire_stiffness_factor = 0.75
if candidate in [CAR.SANTAFE, CAR.SANTAFE_1]:
ret.lateralTuning.pid.kf = 0.00005
ret.mass = 1830. + STD_CARGO_KG
ret.wheelbase = 2.765
# Values from optimizer
ret.steerRatio = 13.8 # 13.8 is spec end-to-end
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.05],
[0.01]]
elif candidate == CAR.SORENTO:
ret.lateralTuning.pid.kf = 0.00005
ret.mass = 1950. + STD_CARGO_KG
ret.wheelbase = 2.78
ret.steerRatio = 14.4 * 1.15
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.05],
[0.01]]
elif candidate in [CAR.AVANTE, CAR.I30]:
ret.lateralTuning.pid.kf = 0.00006
ret.mass = 1275. + STD_CARGO_KG
ret.wheelbase = 2.7
ret.steerRatio = 13.73 #Spec
tire_stiffness_factor = 0.385
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.05],
[0.01]]
elif candidate == CAR.GENESIS:
ret.lateralTuning.pid.kf = 0.00005
ret.mass = 2060. + STD_CARGO_KG
ret.wheelbase = 3.01
ret.steerRatio = 16.5
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.05],
[0.01]]
elif candidate in [CAR.GENESIS_G90, CAR.GENESIS_G80]:
ret.mass = 2200
ret.wheelbase = 3.15
ret.steerRatio = 12.069
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.05],
[0.01]]
elif candidate in [CAR.K5, CAR.SONATA]:
ret.lateralTuning.pid.kf = 0.00005
ret.mass = 1470. + STD_CARGO_KG
ret.wheelbase = 2.80
ret.steerRatio = 12.75
ret.steerRateCost = 0.4
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.05],
[0.01]]
elif candidate == CAR.SONATA_TURBO:
ret.lateralTuning.pid.kf = 0.00005
ret.mass = 1565. + STD_CARGO_KG
ret.wheelbase = 2.80
ret.steerRatio = 14.4 * 1.15 # 15% higher at the center seems reasonable
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.05],
[0.01]]
elif candidate in [CAR.K5_HYBRID, CAR.SONATA_HYBRID]:
ret.lateralTuning.pid.kf = 0.00006
ret.mass = 1595. + STD_CARGO_KG
ret.wheelbase = 2.80
ret.steerRatio = 12.75
ret.steerRateCost = 0.4
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.05],
[0.01]]
elif candidate in [CAR.GRANDEUR, CAR.K7]:
ret.lateralTuning.pid.kf = 0.00005
ret.mass = 1570. + STD_CARGO_KG
ret.wheelbase = 2.885
ret.steerRatio = 12.5
ret.steerRateCost = 0.4
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.05],
[0.01]]
elif candidate in [CAR.GRANDEUR_HYBRID, CAR.K7_HYBRID]:
ret.lateralTuning.pid.kf = 0.00005
ret.mass = 1675. + STD_CARGO_KG
ret.wheelbase = 2.885
ret.steerRatio = 12.5
ret.steerRateCost = 0.4
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.05],
[0.01]]
elif candidate == CAR.STINGER:
ret.lateralTuning.pid.kf = 0.00005
ret.mass = 1825. + STD_CARGO_KG
ret.wheelbase = 2.78
ret.steerRatio = 14.4 * 1.15 # 15% higher at the center seems reasonable
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.05],
[0.01]]
elif candidate == CAR.KONA:
ret.lateralTuning.pid.kf = 0.00005
ret.mass = 1330. + STD_CARGO_KG
ret.wheelbase = 2.6
ret.steerRatio = 13.5 #Spec
ret.steerRateCost = 0.4
tire_stiffness_factor = 0.385
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.05],
[0.01]]
elif candidate == CAR.KONA_EV:
ret.lateralTuning.pid.kf = 0.00005
ret.mass = 1330. + STD_CARGO_KG
ret.wheelbase = 2.6
ret.steerRatio = 13.5 #Spec
ret.steerRateCost = 0.4
tire_stiffness_factor = 0.385
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.05],
[0.01]]
elif candidate == CAR.NIRO:
ret.lateralTuning.pid.kf = 0.00005
ret.mass = 1425. + STD_CARGO_KG
ret.wheelbase = 2.7
ret.steerRatio = 13.73 #Spec
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.05],
[0.01]]
elif candidate == CAR.NIRO_EV:
ret.lateralTuning.pid.kf = 0.00005
ret.mass = 1425. + STD_CARGO_KG
ret.wheelbase = 2.7
ret.steerRatio = 13.73 #Spec
tire_stiffness_factor = 0.385
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.05],
[0.01]]
elif candidate == CAR.IONIQ:
ret.lateralTuning.pid.kf = 0.00006
ret.mass = 1275. + STD_CARGO_KG
ret.wheelbase = 2.7
ret.steerRatio = 13.73 #Spec
tire_stiffness_factor = 0.385
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.05],
[0.01]]
elif candidate == CAR.IONIQ_EV:
ret.lateralTuning.pid.kf = 0.00005
ret.mass = 1490. + STD_CARGO_KG #weight per hyundai site https://www.hyundaiusa.com/ioniq-electric/specifications.aspx
ret.wheelbase = 2.7
ret.steerRatio = 13.25 #Spec
ret.steerRateCost = 0.4
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.05],
[0.01]]
elif candidate == CAR.K3:
ret.lateralTuning.pid.kf = 0.00005
ret.mass = 3558. * CV.LB_TO_KG
ret.wheelbase = 2.80
ret.steerRatio = 13.75
tire_stiffness_factor = 0.5
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.05],
[0.01]]
elif candidate == CAR.NEXO:
ret.lateralTuning.pid.kf = 0.00005
ret.mass = 1885. + STD_CARGO_KG
ret.wheelbase = 2.79
ret.steerRatio = 12.5
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.05],
[0.01]]
elif candidate == CAR.SELTOS:
ret.lateralTuning.pid.kf = 0.00005
ret.mass = 1470. + STD_CARGO_KG
ret.wheelbase = 2.63
ret.steerRatio = 13.0
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.05],
[0.01]]
elif candidate == CAR.PALISADE:
ret.lateralTuning.pid.kf = 0.00005
ret.mass = 1955. + STD_CARGO_KG
ret.wheelbase = 2.90
ret.steerRatio = 13.0
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.05],
[0.01]]
ret.minEnableSpeed = -1. # enable is done by stock ACC, so ignore this
ret.longitudinalTuning.kpBP = [0., 5., 35.]
ret.longitudinalTuning.kpV = [1.2, 0.8, 0.5]
ret.longitudinalTuning.kiBP = [0., 35.]
ret.longitudinalTuning.kiV = [0.18, 0.12]
ret.longitudinalTuning.deadzoneBP = [0.]
ret.longitudinalTuning.deadzoneV = [0.]
ret.centerToFront = ret.wheelbase * 0.4
# TODO: get actual value, for now starting with reasonable value for
# civic and scaling by mass and wheelbase
ret.rotationalInertia = scale_rot_inertia(ret.mass, ret.wheelbase)
# TODO: start from empirically derived lateral slip stiffness for the civic and scale by
# mass and CG position, so all cars will have approximately similar dyn behaviors
ret.tireStiffnessFront, ret.tireStiffnessRear = scale_tire_stiffness(
ret.mass,
ret.wheelbase,
ret.centerToFront,
tire_stiffness_factor=tire_stiffness_factor)
# no rear steering, at least on the listed cars above
ret.steerRatioRear = 0.
ret.steerControlType = car.CarParams.SteerControlType.torque
# steer, gas, brake limitations VS speed
ret.steerMaxBP = [0.]
ret.steerMaxV = [1.0]
ret.gasMaxBP = [0.]
ret.gasMaxV = [0.5]
ret.brakeMaxBP = [0., 20.]
ret.brakeMaxV = [1., 0.8]
ret.enableCamera = is_ecu_disconnected(fingerprint[0], FINGERPRINTS,
ECU_FINGERPRINT, candidate,
Ecu.fwdCamera) or has_relay
ret.openpilotLongitudinalControl = False
ret.stoppingControl = True
ret.startAccel = 0.0
# ignore CAN2 address if L-CAN on the same BUS
ret.mdpsBus = 1 if 593 in fingerprint[1] and 1296 not in fingerprint[
1] else 0
ret.sasBus = 1 if 688 in fingerprint[1] and 1296 not in fingerprint[
1] else 0
ret.sccBus = 0 if 1056 in fingerprint[0] else 1 if 1056 in fingerprint[1] and 1296 not in fingerprint[1] \
else 2 if 1056 in fingerprint[2] else -1
ret.autoLcaEnabled = 1
return ret
def get_params(candidate,
fingerprint=gen_empty_fingerprint(),
has_relay=False,
car_fw=[]):
ret = car.CarParams.new_message()
ret.carName = "gm"
ret.carFingerprint = candidate
ret.isPandaBlack = has_relay
ret.enableCruise = False
# GM port is considered a community feature, since it disables AEB;
# TODO: make a port that uses a car harness and it only intercepts the camera
ret.communityFeature = True
# Presence of a camera on the object bus is ok.
# Have to go to read_only if ASCM is online (ACC-enabled cars),
# or camera is on powertrain bus (LKA cars without ACC).
ret.enableCamera = is_ecu_disconnected(fingerprint[0], FINGERPRINTS, ECU_FINGERPRINT, candidate, Ecu.fwdCamera) or \
has_relay or \
candidate == CAR.CADILLAC_CT6
ret.openpilotLongitudinalControl = ret.enableCamera
tire_stiffness_factor = 0.444 # not optimized yet
# Start with a baseline lateral tuning for all GM vehicles. Override tuning as needed in each model section below.
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.], [0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.2], [0.00]]
ret.lateralTuning.pid.kf = 0.00004 # full torque for 20 deg at 80mph means 0.00007818594
ret.steerRateCost = 1.0
ret.steerActuatorDelay = 0.1 # Default delay, not measured yet
if candidate == CAR.VOLT:
# supports stop and go, but initial engage must be above 18mph (which include conservatism)
ret.minEnableSpeed = 8 * CV.MPH_TO_MS
ret.mass = 1607. + STD_CARGO_KG
ret.safetyModel = car.CarParams.SafetyModel.gm
ret.wheelbase = 2.69
ret.steerRatio = 15.7
ret.steerRatioRear = 0.
ret.centerToFront = ret.wheelbase * 0.4 # wild guess
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.12],
[0.05]]
ret.steerRateCost = 0.7
elif candidate == CAR.MALIBU:
# supports stop and go, but initial engage must be above 18mph (which include conservatism)
ret.minEnableSpeed = 18 * CV.MPH_TO_MS
ret.mass = 1496. + STD_CARGO_KG
ret.safetyModel = car.CarParams.SafetyModel.gm
ret.wheelbase = 2.83
ret.steerRatio = 15.8
ret.steerRatioRear = 0.
ret.centerToFront = ret.wheelbase * 0.4 # wild guess
elif candidate == CAR.HOLDEN_ASTRA:
ret.mass = 1363. + STD_CARGO_KG
ret.wheelbase = 2.662
# Remaining parameters copied from Volt for now
ret.centerToFront = ret.wheelbase * 0.4
ret.minEnableSpeed = 18 * CV.MPH_TO_MS
ret.safetyModel = car.CarParams.SafetyModel.gm
ret.steerRatio = 15.7
ret.steerRatioRear = 0.
elif candidate == CAR.ACADIA:
ret.minEnableSpeed = -1. # engage speed is decided by pcm
ret.mass = 4353. * CV.LB_TO_KG + STD_CARGO_KG
ret.safetyModel = car.CarParams.SafetyModel.gm
ret.wheelbase = 2.86
ret.steerRatio = 14.4 #end to end is 13.46
ret.steerRatioRear = 0.
ret.centerToFront = ret.wheelbase * 0.4
elif candidate == CAR.BUICK_REGAL:
ret.minEnableSpeed = 18 * CV.MPH_TO_MS
ret.mass = 3779. * CV.LB_TO_KG + STD_CARGO_KG # (3849+3708)/2
ret.safetyModel = car.CarParams.SafetyModel.gm
ret.wheelbase = 2.83 #111.4 inches in meters
ret.steerRatio = 14.4 # guess for tourx
ret.steerRatioRear = 0.
ret.centerToFront = ret.wheelbase * 0.4 # guess for tourx
elif candidate == CAR.CADILLAC_ATS:
ret.minEnableSpeed = 18 * CV.MPH_TO_MS
ret.mass = 1601. + STD_CARGO_KG
ret.safetyModel = car.CarParams.SafetyModel.gm
ret.wheelbase = 2.78
ret.steerRatio = 15.3
ret.steerRatioRear = 0.
ret.centerToFront = ret.wheelbase * 0.49
elif candidate == CAR.CADILLAC_CT6:
# engage speed is decided by pcm
ret.minEnableSpeed = -1.
ret.mass = 4016. * CV.LB_TO_KG + STD_CARGO_KG
ret.safetyModel = car.CarParams.SafetyModel.cadillac
ret.wheelbase = 3.11
ret.steerRatio = 14.6 # it's 16.3 without rear active steering
ret.steerRatioRear = 0. # TODO: there is RAS on this car!
ret.centerToFront = ret.wheelbase * 0.465
# TODO: get actual value, for now starting with reasonable value for
# civic and scaling by mass and wheelbase
ret.rotationalInertia = scale_rot_inertia(ret.mass, ret.wheelbase)
# TODO: start from empirically derived lateral slip stiffness for the civic and scale by
# mass and CG position, so all cars will have approximately similar dyn behaviors
ret.tireStiffnessFront, ret.tireStiffnessRear = scale_tire_stiffness(
ret.mass,
ret.wheelbase,
ret.centerToFront,
tire_stiffness_factor=tire_stiffness_factor)
ret.steerMaxBP = [0.] # m/s
ret.steerMaxV = [1.]
ret.gasMaxBP = [0.]
ret.gasMaxV = [0.5]
ret.brakeMaxBP = [0.]
ret.brakeMaxV = [1.]
ret.longitudinalTuning.kpBP = [5., 35.]
ret.longitudinalTuning.kpV = [2.4, 1.5]
ret.longitudinalTuning.kiBP = [0.]
ret.longitudinalTuning.kiV = [0.36]
ret.longitudinalTuning.deadzoneBP = [0.]
ret.longitudinalTuning.deadzoneV = [0.]
ret.stoppingControl = True
ret.startAccel = 0.8
ret.steerLimitTimer = 0.4
ret.radarTimeStep = 0.0667 # GM radar runs at 15Hz instead of standard 20Hz
ret.steerControlType = car.CarParams.SteerControlType.torque
return ret
def get_params(candidate, fingerprint=gen_empty_fingerprint(), car_fw=[]): # pylint: disable=dangerous-default-value
ret = CarInterfaceBase.get_std_params(candidate, fingerprint)
ret.carName = "honda"
if candidate in HONDA_BOSCH:
ret.safetyConfigs = [
get_safety_config(car.CarParams.SafetyModel.hondaBoschHarness)
]
ret.radarOffCan = True
# Disable the radar and let openpilot control longitudinal
# WARNING: THIS DISABLES AEB!
ret.openpilotLongitudinalControl = Params().get_bool(
"DisableRadar")
ret.pcmCruise = not ret.openpilotLongitudinalControl
else:
ret.safetyConfigs = [
get_safety_config(car.CarParams.SafetyModel.hondaNidec)
]
ret.enableGasInterceptor = 0x201 in fingerprint[0]
ret.openpilotLongitudinalControl = True
ret.pcmCruise = not ret.enableGasInterceptor
ret.communityFeature = ret.enableGasInterceptor
if candidate == CAR.CRV_5G:
ret.enableBsm = 0x12f8bfa7 in fingerprint[0]
# Accord 1.5T CVT has different gearbox message
if candidate == CAR.ACCORD and 0x191 in fingerprint[1]:
ret.transmissionType = TransmissionType.cvt
# Certain Hondas have an extra steering sensor at the bottom of the steering rack,
# which improves controls quality as it removes the steering column torsion from feedback.
# Tire stiffness factor fictitiously lower if it includes the steering column torsion effect.
# For modeling details, see p.198-200 in "The Science of Vehicle Dynamics (2014), M. Guiggiani"
ret.lateralParams.torqueBP, ret.lateralParams.torqueV = [[0], [0]]
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.], [0.]]
ret.lateralTuning.pid.kf = 0.00006 # conservative feed-forward
if candidate in HONDA_BOSCH:
ret.longitudinalTuning.kpV = [0.25]
ret.longitudinalTuning.kiV = [0.05]
ret.longitudinalActuatorDelayUpperBound = 0.5 # s
else:
# default longitudinal tuning for all hondas
ret.longitudinalTuning.kpBP = [0., 5., 35.]
ret.longitudinalTuning.kpV = [1.2, 0.8, 0.5]
ret.longitudinalTuning.kiBP = [0., 35.]
ret.longitudinalTuning.kiV = [0.18, 0.12]
eps_modified = False
for fw in car_fw:
if fw.ecu == "eps" and b"," in fw.fwVersion:
eps_modified = True
if candidate == CAR.CIVIC:
stop_and_go = True
ret.mass = CivicParams.MASS
ret.wheelbase = CivicParams.WHEELBASE
ret.centerToFront = CivicParams.CENTER_TO_FRONT
ret.steerRatio = 15.38 # 10.93 is end-to-end spec
if eps_modified:
# stock request input values: 0x0000, 0x00DE, 0x014D, 0x01EF, 0x0290, 0x0377, 0x0454, 0x0610, 0x06EE
# stock request output values: 0x0000, 0x0917, 0x0DC5, 0x1017, 0x119F, 0x140B, 0x1680, 0x1680, 0x1680
# modified request output values: 0x0000, 0x0917, 0x0DC5, 0x1017, 0x119F, 0x140B, 0x1680, 0x2880, 0x3180
# stock filter output values: 0x009F, 0x0108, 0x0108, 0x0108, 0x0108, 0x0108, 0x0108, 0x0108, 0x0108
# modified filter output values: 0x009F, 0x0108, 0x0108, 0x0108, 0x0108, 0x0108, 0x0108, 0x0400, 0x0480
# note: max request allowed is 4096, but request is capped at 3840 in firmware, so modifications result in 2x max
ret.lateralParams.torqueBP, ret.lateralParams.torqueV = [[
0, 2560, 8000
], [0, 2560, 3840]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.3],
[0.1]]
else:
ret.lateralParams.torqueBP, ret.lateralParams.torqueV = [[
0, 2560
], [0, 2560]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[1.1],
[0.33]]
tire_stiffness_factor = 1.
elif candidate in (CAR.CIVIC_BOSCH, CAR.CIVIC_BOSCH_DIESEL):
stop_and_go = True
ret.mass = CivicParams.MASS
ret.wheelbase = CivicParams.WHEELBASE
ret.centerToFront = CivicParams.CENTER_TO_FRONT
ret.steerRatio = 15.38 # 10.93 is end-to-end spec
ret.lateralParams.torqueBP, ret.lateralParams.torqueV = [
[0, 4096], [0, 4096]
] # TODO: determine if there is a dead zone at the top end
tire_stiffness_factor = 1.
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.8],
[0.24]]
elif candidate in (CAR.ACCORD, CAR.ACCORDH):
stop_and_go = True
ret.mass = 3279. * CV.LB_TO_KG + STD_CARGO_KG
ret.wheelbase = 2.83
ret.centerToFront = ret.wheelbase * 0.39
ret.steerRatio = 16.33 # 11.82 is spec end-to-end
ret.lateralParams.torqueBP, ret.lateralParams.torqueV = [
[0, 4096], [0, 4096]
] # TODO: determine if there is a dead zone at the top end
tire_stiffness_factor = 0.8467
if eps_modified:
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.3],
[0.09]]
else:
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.6],
[0.18]]
elif candidate == CAR.ACURA_ILX:
stop_and_go = False
ret.mass = 3095. * CV.LB_TO_KG + STD_CARGO_KG
ret.wheelbase = 2.67
ret.centerToFront = ret.wheelbase * 0.37
ret.steerRatio = 18.61 # 15.3 is spec end-to-end
ret.lateralParams.torqueBP, ret.lateralParams.torqueV = [
[0, 3840], [0, 3840]
] # TODO: determine if there is a dead zone at the top end
tire_stiffness_factor = 0.72
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.8],
[0.24]]
elif candidate in (CAR.CRV, CAR.CRV_EU):
stop_and_go = False
ret.mass = 3572. * CV.LB_TO_KG + STD_CARGO_KG
ret.wheelbase = 2.62
ret.centerToFront = ret.wheelbase * 0.41
ret.steerRatio = 16.89 # as spec
ret.lateralParams.torqueBP, ret.lateralParams.torqueV = [
[0, 1000], [0, 1000]
] # TODO: determine if there is a dead zone at the top end
tire_stiffness_factor = 0.444
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.8],
[0.24]]
elif candidate == CAR.CRV_5G:
stop_and_go = True
ret.mass = 3410. * CV.LB_TO_KG + STD_CARGO_KG
ret.wheelbase = 2.66
ret.centerToFront = ret.wheelbase * 0.41
ret.steerRatio = 16.0 # 12.3 is spec end-to-end
if eps_modified:
# stock request input values: 0x0000, 0x00DB, 0x01BB, 0x0296, 0x0377, 0x0454, 0x0532, 0x0610, 0x067F
# stock request output values: 0x0000, 0x0500, 0x0A15, 0x0E6D, 0x1100, 0x1200, 0x129A, 0x134D, 0x1400
# modified request output values: 0x0000, 0x0500, 0x0A15, 0x0E6D, 0x1100, 0x1200, 0x1ACD, 0x239A, 0x2800
ret.lateralParams.torqueBP, ret.lateralParams.torqueV = [[
0, 2560, 10000
], [0, 2560, 3840]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.21],
[0.07]]
else:
ret.lateralParams.torqueBP, ret.lateralParams.torqueV = [[
0, 3840
], [0, 3840]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[
0.64
], [0.192]]
tire_stiffness_factor = 0.677
elif candidate == CAR.CRV_HYBRID:
stop_and_go = True
ret.mass = 1667. + STD_CARGO_KG # mean of 4 models in kg
ret.wheelbase = 2.66
ret.centerToFront = ret.wheelbase * 0.41
ret.steerRatio = 16.0 # 12.3 is spec end-to-end
ret.lateralParams.torqueBP, ret.lateralParams.torqueV = [
[0, 4096], [0, 4096]
] # TODO: determine if there is a dead zone at the top end
tire_stiffness_factor = 0.677
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.6],
[0.18]]
elif candidate == CAR.FIT:
stop_and_go = False
ret.mass = 2644. * CV.LB_TO_KG + STD_CARGO_KG
ret.wheelbase = 2.53
ret.centerToFront = ret.wheelbase * 0.39
ret.steerRatio = 13.06
ret.lateralParams.torqueBP, ret.lateralParams.torqueV = [
[0, 4096], [0, 4096]
] # TODO: determine if there is a dead zone at the top end
tire_stiffness_factor = 0.75
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.2],
[0.05]]
elif candidate == CAR.FREED:
stop_and_go = False
ret.mass = 3086. * CV.LB_TO_KG + STD_CARGO_KG
ret.wheelbase = 2.74
# the remaining parameters were copied from FIT
ret.centerToFront = ret.wheelbase * 0.39
ret.steerRatio = 13.06
ret.lateralParams.torqueBP, ret.lateralParams.torqueV = [[0, 4096],
[0, 4096]]
tire_stiffness_factor = 0.75
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.2],
[0.05]]
elif candidate == CAR.HRV:
stop_and_go = False
ret.mass = 3125 * CV.LB_TO_KG + STD_CARGO_KG
ret.wheelbase = 2.61
ret.centerToFront = ret.wheelbase * 0.41
ret.steerRatio = 15.2
ret.lateralParams.torqueBP, ret.lateralParams.torqueV = [[0, 4096],
[0, 4096]]
tire_stiffness_factor = 0.5
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.16],
[0.025]]
elif candidate == CAR.ACURA_RDX:
stop_and_go = False
ret.mass = 3935. * CV.LB_TO_KG + STD_CARGO_KG
ret.wheelbase = 2.68
ret.centerToFront = ret.wheelbase * 0.38
ret.steerRatio = 15.0 # as spec
ret.lateralParams.torqueBP, ret.lateralParams.torqueV = [
[0, 1000], [0, 1000]
] # TODO: determine if there is a dead zone at the top end
tire_stiffness_factor = 0.444
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.8],
[0.24]]
elif candidate == CAR.ACURA_RDX_3G:
stop_and_go = True
ret.mass = 4068. * CV.LB_TO_KG + STD_CARGO_KG
ret.wheelbase = 2.75
ret.centerToFront = ret.wheelbase * 0.41
ret.steerRatio = 11.95 # as spec
ret.lateralParams.torqueBP, ret.lateralParams.torqueV = [[0, 3840],
[0, 3840]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.6],
[0.18]]
tire_stiffness_factor = 0.677
elif candidate == CAR.ODYSSEY:
stop_and_go = False
ret.mass = 4471. * CV.LB_TO_KG + STD_CARGO_KG
ret.wheelbase = 3.00
ret.centerToFront = ret.wheelbase * 0.41
ret.steerRatio = 14.35 # as spec
ret.lateralParams.torqueBP, ret.lateralParams.torqueV = [
[0, 4096], [0, 4096]
] # TODO: determine if there is a dead zone at the top end
tire_stiffness_factor = 0.82
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.28],
[0.08]]
elif candidate == CAR.ODYSSEY_CHN:
stop_and_go = False
ret.mass = 1849.2 + STD_CARGO_KG # mean of 4 models in kg
ret.wheelbase = 2.90
ret.centerToFront = ret.wheelbase * 0.41 # from CAR.ODYSSEY
ret.steerRatio = 14.35
ret.lateralParams.torqueBP, ret.lateralParams.torqueV = [
[0, 32767], [0, 32767]
] # TODO: determine if there is a dead zone at the top end
tire_stiffness_factor = 0.82
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.28],
[0.08]]
elif candidate in (CAR.PILOT, CAR.PILOT_2019):
stop_and_go = False
ret.mass = 4204. * CV.LB_TO_KG + STD_CARGO_KG # average weight
ret.wheelbase = 2.82
ret.centerToFront = ret.wheelbase * 0.428
ret.steerRatio = 17.25 # as spec
ret.lateralParams.torqueBP, ret.lateralParams.torqueV = [
[0, 4096], [0, 4096]
] # TODO: determine if there is a dead zone at the top end
tire_stiffness_factor = 0.444
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.38],
[0.11]]
elif candidate == CAR.PASSPORT:
stop_and_go = False
ret.mass = 4204. * CV.LB_TO_KG + STD_CARGO_KG # average weight
ret.wheelbase = 2.82
ret.centerToFront = ret.wheelbase * 0.428
ret.steerRatio = 17.25 # as spec
ret.lateralParams.torqueBP, ret.lateralParams.torqueV = [
[0, 4096], [0, 4096]
] # TODO: determine if there is a dead zone at the top end
tire_stiffness_factor = 0.444
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.38],
[0.11]]
elif candidate == CAR.RIDGELINE:
stop_and_go = False
ret.mass = 4515. * CV.LB_TO_KG + STD_CARGO_KG
ret.wheelbase = 3.18
ret.centerToFront = ret.wheelbase * 0.41
ret.steerRatio = 15.59 # as spec
ret.lateralParams.torqueBP, ret.lateralParams.torqueV = [
[0, 4096], [0, 4096]
] # TODO: determine if there is a dead zone at the top end
tire_stiffness_factor = 0.444
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.38],
[0.11]]
elif candidate == CAR.INSIGHT:
stop_and_go = True
ret.mass = 2987. * CV.LB_TO_KG + STD_CARGO_KG
ret.wheelbase = 2.7
ret.centerToFront = ret.wheelbase * 0.39
ret.steerRatio = 15.0 # 12.58 is spec end-to-end
ret.lateralParams.torqueBP, ret.lateralParams.torqueV = [
[0, 4096], [0, 4096]
] # TODO: determine if there is a dead zone at the top end
tire_stiffness_factor = 0.82
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.6],
[0.18]]
elif candidate == CAR.HONDA_E:
stop_and_go = True
ret.mass = 3338.8 * CV.LB_TO_KG + STD_CARGO_KG
ret.wheelbase = 2.5
ret.centerToFront = ret.wheelbase * 0.5
ret.steerRatio = 16.71
ret.lateralParams.torqueBP, ret.lateralParams.torqueV = [
[0, 4096], [0, 4096]
] # TODO: determine if there is a dead zone at the top end
tire_stiffness_factor = 0.82
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[
0.6
], [0.18]] # TODO: can probably use some tuning
else:
raise ValueError("unsupported car %s" % candidate)
# These cars use alternate user brake msg (0x1BE)
if candidate in HONDA_BOSCH_ALT_BRAKE_SIGNAL:
ret.safetyConfigs[0].safetyParam |= Panda.FLAG_HONDA_ALT_BRAKE
if ret.openpilotLongitudinalControl and candidate in HONDA_BOSCH:
ret.safetyConfigs[0].safetyParam |= Panda.FLAG_HONDA_BOSCH_LONG
# min speed to enable ACC. if car can do stop and go, then set enabling speed
# to a negative value, so it won't matter. Otherwise, add 0.5 mph margin to not
# conflict with PCM acc
ret.minEnableSpeed = -1. if (
stop_and_go or ret.enableGasInterceptor) else 25.5 * CV.MPH_TO_MS
# TODO: get actual value, for now starting with reasonable value for
# civic and scaling by mass and wheelbase
ret.rotationalInertia = scale_rot_inertia(ret.mass, ret.wheelbase)
# TODO: start from empirically derived lateral slip stiffness for the civic and scale by
# mass and CG position, so all cars will have approximately similar dyn behaviors
ret.tireStiffnessFront, ret.tireStiffnessRear = scale_tire_stiffness(
ret.mass,
ret.wheelbase,
ret.centerToFront,
tire_stiffness_factor=tire_stiffness_factor)
ret.steerActuatorDelay = 0.1
ret.steerRateCost = 0.5
ret.steerLimitTimer = 0.8
return ret
def get_params(candidate, fingerprint, vin=""):
ret = car.CarParams.new_message()
ret.carName = "ford"
ret.carFingerprint = candidate
ret.carVin = vin
ret.safetyModel = car.CarParams.SafetyModel.ford
# pedal
ret.enableCruise = True
ret.wheelbase = 2.85
ret.steerRatio = 14.8
ret.mass = 3045. * CV.LB_TO_KG + STD_CARGO_KG
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.], [0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.01], [
0.005
]] # TODO: tune this
ret.lateralTuning.pid.kf = 1. / MAX_ANGLE # MAX Steer angle to normalize FF
ret.steerActuatorDelay = 0.1 # Default delay, not measured yet
ret.steerRateCost = 1.0
ret.centerToFront = ret.wheelbase * 0.44
tire_stiffness_factor = 0.5328
# min speed to enable ACC. if car can do stop and go, then set enabling speed
# to a negative value, so it won't matter.
ret.minEnableSpeed = -1.
# TODO: get actual value, for now starting with reasonable value for
# civic and scaling by mass and wheelbase
ret.rotationalInertia = scale_rot_inertia(ret.mass, ret.wheelbase)
# TODO: start from empirically derived lateral slip stiffness for the civic and scale by
# mass and CG position, so all cars will have approximately similar dyn behaviors
ret.tireStiffnessFront, ret.tireStiffnessRear = scale_tire_stiffness(
ret.mass,
ret.wheelbase,
ret.centerToFront,
tire_stiffness_factor=tire_stiffness_factor)
# no rear steering, at least on the listed cars above
ret.steerRatioRear = 0.
ret.steerControlType = car.CarParams.SteerControlType.angle
# steer, gas, brake limitations VS speed
ret.steerMaxBP = [0.] # breakpoints at 1 and 40 kph
ret.steerMaxV = [1.0] # 2/3rd torque allowed above 45 kph
ret.gasMaxBP = [0.]
ret.gasMaxV = [0.5]
ret.brakeMaxBP = [5., 20.]
ret.brakeMaxV = [1., 0.8]
ret.enableCamera = not any(
x for x in [970, 973, 984] if x in fingerprint)
ret.openpilotLongitudinalControl = False
cloudlog.warn("ECU Camera Simulated: %r", ret.enableCamera)
ret.steerLimitAlert = False
ret.stoppingControl = False
ret.startAccel = 0.0
ret.longitudinalTuning.deadzoneBP = [0., 9.]
ret.longitudinalTuning.deadzoneV = [0., .15]
ret.longitudinalTuning.kpBP = [0., 5., 35.]
ret.longitudinalTuning.kpV = [3.6, 2.4, 1.5]
ret.longitudinalTuning.kiBP = [0., 35.]
ret.longitudinalTuning.kiV = [0.54, 0.36]
return ret
