def get_params(candidate,
fingerprint=gen_empty_fingerprint(),
car_fw=None,
disable_radar=False):
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.steerLimitTimer = 0.8
tire_stiffness_factor = 0.70 # not optimized yet
CarInterfaceBase.configure_torque_tune(candidate, ret.lateralTuning)
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
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
elif candidate == CAR.MAZDA3:
ret.mass = 2875 * CV.LB_TO_KG + STD_CARGO_KG
ret.wheelbase = 2.7
ret.steerRatio = 14.0
elif candidate == CAR.MAZDA6:
ret.mass = 3443 * CV.LB_TO_KG + STD_CARGO_KG
ret.wheelbase = 2.83
ret.steerRatio = 15.5
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(), car_fw=None, disable_radar=False):
ret = CarInterfaceBase.get_std_params(candidate, fingerprint)
ret.carName = "gm"
ret.safetyConfigs = [get_safety_config(car.CarParams.SafetyModel.gm)]
if candidate in EV_CAR:
ret.transmissionType = TransmissionType.direct
else:
ret.transmissionType = TransmissionType.automatic
if candidate in CAMERA_ACC_CAR:
ret.openpilotLongitudinalControl = False
ret.networkLocation = NetworkLocation.fwdCamera
ret.radarOffCan = True # no radar
ret.pcmCruise = True
ret.safetyConfigs[0].safetyParam |= Panda.FLAG_GM_HW_CAM
else: # ASCM, OBD-II harness
ret.openpilotLongitudinalControl = True
ret.networkLocation = NetworkLocation.gateway
ret.radarOffCan = False
ret.pcmCruise = False # stock non-adaptive cruise control is kept off
# These cars have been put into dashcam only due to both a lack of users and test coverage.
# These cars likely still work fine. Once a user confirms each car works and a test route is
# added to selfdrive/car/tests/routes.py, we can remove it from this list.
ret.dashcamOnly = candidate in {CAR.CADILLAC_ATS, CAR.HOLDEN_ASTRA, CAR.MALIBU, CAR.BUICK_REGAL}
# Start with a baseline tuning for all GM vehicles. Override tuning as needed in each model section below.
ret.minSteerSpeed = 7 * CV.MPH_TO_MS
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.steerActuatorDelay = 0.1 # Default delay, not measured yet
tire_stiffness_factor = 0.444 # not optimized yet
ret.longitudinalTuning.kpBP = [5., 35.]
ret.longitudinalTuning.kpV = [2.4, 1.5]
ret.longitudinalTuning.kiBP = [0.]
ret.longitudinalTuning.kiV = [0.36]
ret.steerLimitTimer = 0.4
ret.radarTimeStep = 0.0667 # GM radar runs at 15Hz instead of standard 20Hz
# supports stop and go, but initial engage must (conservatively) be above 18mph
ret.minEnableSpeed = 18 * CV.MPH_TO_MS
if candidate == CAR.VOLT:
ret.mass = 1607. + STD_CARGO_KG
ret.wheelbase = 2.69
ret.steerRatio = 17.7 # Stock 15.7, LiveParameters
tire_stiffness_factor = 0.469 # Stock Michelin Energy Saver A/S, LiveParameters
ret.centerToFront = ret.wheelbase * 0.45 # Volt Gen 1, TODO corner weigh
ret.lateralTuning.pid.kpBP = [0., 40.]
ret.lateralTuning.pid.kpV = [0., 0.17]
ret.lateralTuning.pid.kiBP = [0.]
ret.lateralTuning.pid.kiV = [0.]
ret.lateralTuning.pid.kf = 1. # get_steer_feedforward_volt()
ret.steerActuatorDelay = 0.2
elif candidate == CAR.MALIBU:
ret.mass = 1496. + STD_CARGO_KG
ret.wheelbase = 2.83
ret.steerRatio = 15.8
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.steerRatio = 15.7
elif candidate == CAR.ACADIA:
ret.minEnableSpeed = -1. # engage speed is decided by pcm
ret.mass = 4353. * CV.LB_TO_KG + STD_CARGO_KG
ret.wheelbase = 2.86
ret.steerRatio = 14.4 # end to end is 13.46
ret.centerToFront = ret.wheelbase * 0.4
ret.lateralTuning.pid.kf = 1. # get_steer_feedforward_acadia()
ret.longitudinalActuatorDelayUpperBound = 0.5 # large delay to initially start braking
elif candidate == CAR.BUICK_REGAL:
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.centerToFront = ret.wheelbase * 0.4 # guess for tourx
elif candidate == CAR.CADILLAC_ATS:
ret.mass = 1601. + STD_CARGO_KG
ret.wheelbase = 2.78
ret.steerRatio = 15.3
ret.centerToFront = ret.wheelbase * 0.49
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
elif candidate == CAR.BOLT_EUV:
ret.minEnableSpeed = -1
ret.mass = 1669. + STD_CARGO_KG
ret.wheelbase = 2.675
ret.steerRatio = 16.8
ret.centerToFront = ret.wheelbase * 0.4
tire_stiffness_factor = 1.0
ret.steerActuatorDelay = 0.2
CarInterfaceBase.configure_torque_tune(candidate, ret.lateralTuning)
elif candidate == CAR.SILVERADO:
ret.minEnableSpeed = -1
ret.mass = 2200. + STD_CARGO_KG
ret.wheelbase = 3.75
ret.steerRatio = 16.3
ret.centerToFront = ret.wheelbase * 0.5
tire_stiffness_factor = 1.0
CarInterfaceBase.configure_torque_tune(candidate, ret.lateralTuning)
# 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(),
car_fw=[],
disable_radar=False): # pylint: disable=dangerous-default-value
ret = CarInterfaceBase.get_std_params(candidate, fingerprint)
ret.carName = "hyundai"
ret.radarOffCan = RADAR_START_ADDR not in fingerprint[1] or DBC[
ret.carFingerprint]["radar"] is None
# WARNING: disabling radar also disables AEB (and we show the same warning on the instrument cluster as if you manually disabled AEB)
ret.openpilotLongitudinalControl = disable_radar and (
candidate not in (LEGACY_SAFETY_MODE_CAR | CAMERA_SCC_CAR))
ret.pcmCruise = not ret.openpilotLongitudinalControl
# These cars have been put into dashcam only due to both a lack of users and test coverage.
# These cars likely still work fine. Once a user confirms each car works and a test route is
# added to selfdrive/car/tests/routes.py, we can remove it from this list.
ret.dashcamOnly = candidate in {CAR.KIA_OPTIMA_H, CAR.ELANTRA_GT_I30}
ret.steerActuatorDelay = 0.1 # Default delay
ret.steerLimitTimer = 0.4
tire_stiffness_factor = 1.
ret.stoppingControl = True
ret.vEgoStopping = 1.0
ret.longitudinalTuning.kpV = [0.1]
ret.longitudinalTuning.kiV = [0.0]
ret.stopAccel = 0.0
ret.longitudinalActuatorDelayUpperBound = 1.0 # s
if candidate in (CAR.SANTA_FE, CAR.SANTA_FE_2022,
CAR.SANTA_FE_HEV_2022, CAR.SANTA_FE_PHEV_2022):
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_HYBRID):
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
CarInterfaceBase.configure_torque_tune(candidate,
ret.lateralTuning)
elif candidate == CAR.SONATA_LF:
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 = 15.6 * 1.15
tire_stiffness_factor = 0.63
CarInterfaceBase.configure_torque_tune(candidate,
ret.lateralTuning)
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.ELANTRA_2021:
ret.mass = (2800. * CV.LB_TO_KG) + STD_CARGO_KG
ret.wheelbase = 2.72
ret.steerRatio = 12.9
tire_stiffness_factor = 0.65
CarInterfaceBase.configure_torque_tune(candidate,
ret.lateralTuning)
elif candidate == CAR.ELANTRA_HEV_2021:
ret.mass = (3017. * CV.LB_TO_KG) + STD_CARGO_KG
ret.wheelbase = 2.72
ret.steerRatio = 12.9
tire_stiffness_factor = 0.65
CarInterfaceBase.configure_torque_tune(candidate,
ret.lateralTuning)
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 in (CAR.KONA, CAR.KONA_EV, CAR.KONA_HEV,
CAR.KONA_EV_2022):
ret.mass = {
CAR.KONA_EV: 1685.,
CAR.KONA_HEV: 1425.,
CAR.KONA_EV_2022: 1743.
}.get(candidate, 1275.) + STD_CARGO_KG
ret.wheelbase = 2.6
ret.steerRatio = 13.42 # Spec
tire_stiffness_factor = 0.385
CarInterfaceBase.configure_torque_tune(candidate,
ret.lateralTuning)
elif candidate in (CAR.IONIQ, CAR.IONIQ_EV_LTD, CAR.IONIQ_EV_2020,
CAR.IONIQ_PHEV, CAR.IONIQ_HEV_2022):
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 not in (CAR.IONIQ_EV_2020, CAR.IONIQ_PHEV,
CAR.IONIQ_HEV_2022):
ret.minSteerSpeed = 32 * CV.MPH_TO_MS
elif candidate == CAR.IONIQ_PHEV_2019:
ret.mass = 1550. + STD_CARGO_KG # weight per hyundai site https://www.hyundaiusa.com/us/en/vehicles/2019-ioniq-plug-in-hybrid/compare-specs
ret.wheelbase = 2.7
ret.steerRatio = 13.73
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.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]]
elif candidate == CAR.TUCSON:
ret.lateralTuning.pid.kf = 0.00005
ret.mass = 3520. * CV.LB_TO_KG
ret.wheelbase = 2.67
ret.steerRatio = 14.00 * 1.15
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.TUCSON_HYBRID_4TH_GEN:
ret.mass = 1680. + STD_CARGO_KG # average of all 3 trims
ret.wheelbase = 2.756
ret.steerRatio = 16.
tire_stiffness_factor = 0.385
CarInterfaceBase.configure_torque_tune(candidate,
ret.lateralTuning)
# 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 in (CAR.KIA_NIRO_EV, CAR.KIA_NIRO_PHEV,
CAR.KIA_NIRO_HEV_2021):
ret.lateralTuning.pid.kf = 0.00006
ret.mass = 1737. + STD_CARGO_KG
ret.wheelbase = 2.7
ret.steerRatio = 13.9 if CAR.KIA_NIRO_HEV_2021 else 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.KIA_NIRO_PHEV:
ret.minSteerSpeed = 32 * CV.MPH_TO_MS
elif candidate == CAR.KIA_SELTOS:
ret.mass = 1337. + STD_CARGO_KG
ret.wheelbase = 2.63
ret.steerRatio = 14.56
tire_stiffness_factor = 1
ret.lateralTuning.init('indi')
ret.lateralTuning.indi.innerLoopGainBP = [0.]
ret.lateralTuning.indi.innerLoopGainV = [4.]
ret.lateralTuning.indi.outerLoopGainBP = [0.]
ret.lateralTuning.indi.outerLoopGainV = [3.]
ret.lateralTuning.indi.timeConstantBP = [0.]
ret.lateralTuning.indi.timeConstantV = [1.4]
ret.lateralTuning.indi.actuatorEffectivenessBP = [0.]
ret.lateralTuning.indi.actuatorEffectivenessV = [1.8]
elif candidate in (CAR.KIA_OPTIMA, CAR.KIA_OPTIMA_H):
ret.mass = 3558. * CV.LB_TO_KG
ret.wheelbase = 2.80
ret.steerRatio = 13.75
tire_stiffness_factor = 0.5
CarInterfaceBase.configure_torque_tune(candidate,
ret.lateralTuning)
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]]
elif candidate == CAR.KIA_CEED:
ret.lateralTuning.pid.kf = 0.00005
ret.mass = 1450. + STD_CARGO_KG
ret.wheelbase = 2.65
ret.steerRatio = 13.75
tire_stiffness_factor = 0.5
ret.lateralTuning.pid.kf = 0.00005
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_K5_2021:
ret.lateralTuning.pid.kf = 0.00005
ret.mass = 3228. * CV.LB_TO_KG
ret.wheelbase = 2.85
ret.steerRatio = 13.27 # 2021 Kia K5 Steering Ratio (all trims)
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_EV6:
ret.mass = 2055 + STD_CARGO_KG
ret.wheelbase = 2.9
ret.steerRatio = 16.
tire_stiffness_factor = 0.65
CarInterfaceBase.configure_torque_tune(candidate,
ret.lateralTuning)
elif candidate == CAR.IONIQ_5:
ret.mass = 2012 + STD_CARGO_KG
ret.wheelbase = 3.0
ret.steerRatio = 16.
tire_stiffness_factor = 0.65
CarInterfaceBase.configure_torque_tune(candidate,
ret.lateralTuning)
# 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_G70_2020:
ret.lateralTuning.pid.kf = 0.
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.],
[0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.112],
[0.004]]
ret.mass = 3673.0 * CV.LB_TO_KG + STD_CARGO_KG
ret.wheelbase = 2.83
ret.steerRatio = 12.9
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]]
# panda safety config
if candidate in CANFD_CAR:
ret.safetyConfigs = [
get_safety_config(car.CarParams.SafetyModel.noOutput),
get_safety_config(car.CarParams.SafetyModel.hyundaiCanfd)
]
# detect HDA2 with LKAS message
if 0x50 in fingerprint[6]:
ret.flags |= HyundaiFlags.CANFD_HDA2.value
ret.safetyConfigs[
1].safetyParam |= Panda.FLAG_HYUNDAI_CANFD_HDA2
else:
# non-HDA2
if 0x1cf not in fingerprint[4]:
ret.flags |= HyundaiFlags.CANFD_ALT_BUTTONS.value
else:
ret.enableBsm = 0x58b in fingerprint[0]
if candidate in LEGACY_SAFETY_MODE_CAR:
# these cars require a special panda safety mode due to missing counters and checksums in the messages
ret.safetyConfigs = [
get_safety_config(car.CarParams.SafetyModel.hyundaiLegacy)
]
else:
ret.safetyConfigs = [
get_safety_config(car.CarParams.SafetyModel.hyundai, 0)
]
# set appropriate safety param for gas signal
if candidate in HYBRID_CAR:
ret.safetyConfigs[0].safetyParam = 2
elif candidate in EV_CAR:
ret.safetyConfigs[0].safetyParam = 1
if ret.openpilotLongitudinalControl:
ret.safetyConfigs[0].safetyParam |= Panda.FLAG_HYUNDAI_LONG
if candidate in CAMERA_SCC_CAR:
ret.safetyConfigs[
0].safetyParam |= Panda.FLAG_HYUNDAI_CAMERA_SCC
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)
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.carName = "toyota"
ret.safetyConfigs = [get_safety_config(car.CarParams.SafetyModel.toyota)]
ret.safetyConfigs[0].safetyParam = EPS_SCALE[candidate]
if candidate in (CAR.RAV4, CAR.PRIUS_V, CAR.COROLLA, CAR.LEXUS_ESH, CAR.LEXUS_CTH):
ret.safetyConfigs[0].safetyParam |= Panda.FLAG_TOYOTA_ALT_BRAKE
ret.steerActuatorDelay = 0.12 # Default delay, Prius has larger delay
ret.steerLimitTimer = 0.4
ret.stoppingControl = False # Toyota starts braking more when it thinks you want to stop
stop_and_go = False
steering_angle_deadzone_deg = 0.0
CarInterfaceBase.configure_torque_tune(candidate, ret.lateralTuning, steering_angle_deadzone_deg)
if candidate == CAR.PRIUS:
stop_and_go = True
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
# Only give steer angle deadzone to for bad angle sensor prius
for fw in car_fw:
if fw.ecu == "eps" and not fw.fwVersion == b'8965B47060\x00\x00\x00\x00\x00\x00':
steering_angle_deadzone_deg = 1.0
CarInterfaceBase.configure_torque_tune(candidate, ret.lateralTuning, steering_angle_deadzone_deg)
elif candidate == CAR.PRIUS_V:
stop_and_go = True
ret.wheelbase = 2.78
ret.steerRatio = 17.4
tire_stiffness_factor = 0.5533
ret.mass = 3340. * CV.LB_TO_KG + STD_CARGO_KG
CarInterfaceBase.configure_torque_tune(candidate, ret.lateralTuning, steering_angle_deadzone_deg)
elif candidate in (CAR.RAV4, CAR.RAV4H):
stop_and_go = True if (candidate in CAR.RAV4H) else False
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
elif candidate == CAR.COROLLA:
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
elif candidate in (CAR.LEXUS_RX, CAR.LEXUS_RXH, CAR.LEXUS_RX_TSS2, CAR.LEXUS_RXH_TSS2):
stop_and_go = True
ret.wheelbase = 2.79
ret.steerRatio = 16. # 14.8 is spec end-to-end
ret.wheelSpeedFactor = 1.035
tire_stiffness_factor = 0.5533
ret.mass = 4481. * CV.LB_TO_KG + STD_CARGO_KG # mean between min and max
set_lat_tune(ret.lateralTuning, LatTunes.PID_C)
elif candidate in (CAR.CHR, CAR.CHRH):
stop_and_go = True
ret.wheelbase = 2.63906
ret.steerRatio = 13.6
tire_stiffness_factor = 0.7933
ret.mass = 3300. * CV.LB_TO_KG + STD_CARGO_KG
set_lat_tune(ret.lateralTuning, LatTunes.PID_F)
elif candidate in (CAR.CAMRY, CAR.CAMRYH, CAR.CAMRY_TSS2, CAR.CAMRYH_TSS2):
stop_and_go = True
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
if candidate not in (CAR.CAMRY_TSS2, CAR.CAMRYH_TSS2):
set_lat_tune(ret.lateralTuning, LatTunes.PID_C)
elif candidate in (CAR.HIGHLANDER_TSS2, CAR.HIGHLANDERH_TSS2):
stop_and_go = True
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
set_lat_tune(ret.lateralTuning, LatTunes.PID_G)
elif candidate in (CAR.HIGHLANDER, CAR.HIGHLANDERH):
stop_and_go = True
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
set_lat_tune(ret.lateralTuning, LatTunes.PID_G)
elif candidate in (CAR.AVALON, CAR.AVALON_2019, CAR.AVALONH_2019, CAR.AVALON_TSS2, CAR.AVALONH_TSS2):
# starting from 2019, all Avalon variants have stop and go
# https://engage.toyota.com/static/images/toyota_safety_sense/TSS_Applicability_Chart.pdf
stop_and_go = candidate != CAR.AVALON
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
set_lat_tune(ret.lateralTuning, LatTunes.PID_H)
elif candidate in (CAR.RAV4_TSS2, CAR.RAV4_TSS2_2022, CAR.RAV4H_TSS2, CAR.RAV4H_TSS2_2022):
stop_and_go = True
ret.wheelbase = 2.68986
ret.steerRatio = 14.3
tire_stiffness_factor = 0.7933
ret.mass = 3585. * CV.LB_TO_KG + STD_CARGO_KG # Average between ICE and Hybrid
set_lat_tune(ret.lateralTuning, LatTunes.PID_D)
# 2019+ RAV4 TSS2 uses two different steering racks and specific tuning seems to be necessary.
# See https://github.com/commaai/openpilot/pull/21429#issuecomment-873652891
for fw in car_fw:
if fw.ecu == "eps" and (fw.fwVersion.startswith(b'\x02') or fw.fwVersion in [b'8965B42181\x00\x00\x00\x00\x00\x00']):
set_lat_tune(ret.lateralTuning, LatTunes.PID_I)
break
elif candidate in (CAR.COROLLA_TSS2, CAR.COROLLAH_TSS2):
stop_and_go = True
ret.wheelbase = 2.67 # Average between 2.70 for sedan and 2.64 for hatchback
ret.steerRatio = 13.9
tire_stiffness_factor = 0.444 # not optimized yet
ret.mass = 3060. * CV.LB_TO_KG + STD_CARGO_KG
elif candidate in (CAR.LEXUS_ES_TSS2, CAR.LEXUS_ESH_TSS2, CAR.LEXUS_ESH):
stop_and_go = True
ret.wheelbase = 2.8702
ret.steerRatio = 16.0 # not optimized
tire_stiffness_factor = 0.444 # not optimized yet
ret.mass = 3677. * CV.LB_TO_KG + STD_CARGO_KG # mean between min and max
set_lat_tune(ret.lateralTuning, LatTunes.PID_D)
elif candidate == CAR.SIENNA:
stop_and_go = True
ret.wheelbase = 3.03
ret.steerRatio = 15.5
tire_stiffness_factor = 0.444
ret.mass = 4590. * CV.LB_TO_KG + STD_CARGO_KG
set_lat_tune(ret.lateralTuning, LatTunes.PID_J)
elif candidate in (CAR.LEXUS_IS, CAR.LEXUS_RC):
ret.wheelbase = 2.79908
ret.steerRatio = 13.3
tire_stiffness_factor = 0.444
ret.mass = 3736.8 * CV.LB_TO_KG + STD_CARGO_KG
set_lat_tune(ret.lateralTuning, LatTunes.PID_L)
elif candidate == CAR.LEXUS_CTH:
stop_and_go = True
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
set_lat_tune(ret.lateralTuning, LatTunes.PID_M)
elif candidate in (CAR.LEXUS_NX, CAR.LEXUS_NXH, CAR.LEXUS_NX_TSS2, CAR.LEXUS_NXH_TSS2):
stop_and_go = True
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
set_lat_tune(ret.lateralTuning, LatTunes.PID_C)
elif candidate == CAR.PRIUS_TSS2:
stop_and_go = True
ret.wheelbase = 2.70002 # from toyota online sepc.
ret.steerRatio = 13.4 # True steerRatio from older prius
tire_stiffness_factor = 0.6371 # hand-tune
ret.mass = 3115. * CV.LB_TO_KG + STD_CARGO_KG
set_lat_tune(ret.lateralTuning, LatTunes.PID_N)
elif candidate == CAR.MIRAI:
stop_and_go = True
ret.wheelbase = 2.91
ret.steerRatio = 14.8
tire_stiffness_factor = 0.8
ret.mass = 4300. * CV.LB_TO_KG + STD_CARGO_KG
set_lat_tune(ret.lateralTuning, LatTunes.PID_C)
elif candidate in (CAR.ALPHARD_TSS2, CAR.ALPHARDH_TSS2):
stop_and_go = True
ret.wheelbase = 3.00
ret.steerRatio = 14.2
tire_stiffness_factor = 0.444
ret.mass = 4305. * CV.LB_TO_KG + STD_CARGO_KG
set_lat_tune(ret.lateralTuning, LatTunes.PID_J)
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.enableBsm = 0x3F6 in fingerprint[0] and candidate in TSS2_CAR
# 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
found_ecus = [fw.ecu for fw in car_fw]
ret.enableDsu = (len(found_ecus) > 0) and (Ecu.dsu not in found_ecus) and (candidate not in NO_DSU_CAR) and (not smartDsu)
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 = smartDsu or ret.enableDsu or candidate in (TSS2_CAR - RADAR_ACC_CAR)
if not ret.openpilotLongitudinalControl:
ret.safetyConfigs[0].safetyParam |= Panda.FLAG_TOYOTA_STOCK_LONGITUDINAL
# we can't use the fingerprint to detect this reliably, since
# the EV gas pedal signal can take a couple seconds to appear
if candidate in EV_HYBRID_CAR:
ret.flags |= ToyotaFlags.HYBRID.value
# 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
if ret.enableGasInterceptor:
set_long_tune(ret.longitudinalTuning, LongTunes.PEDAL)
elif candidate in TSS2_CAR:
set_long_tune(ret.longitudinalTuning, LongTunes.TSS2)
ret.stoppingDecelRate = 0.3 # reach stopping target smoothly
else:
set_long_tune(ret.longitudinalTuning, LongTunes.TSS)
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 = "chrysler"
ret.dashcamOnly = candidate in RAM_HD
ret.radarOffCan = DBC[candidate]['radar'] is None
ret.steerActuatorDelay = 0.1
ret.steerLimitTimer = 0.4
# safety config
ret.safetyConfigs = [get_safety_config(car.CarParams.SafetyModel.chrysler)]
if candidate in RAM_HD:
ret.safetyConfigs[0].safetyParam |= Panda.FLAG_CHRYSLER_RAM_HD
elif candidate in RAM_DT:
ret.safetyConfigs[0].safetyParam |= Panda.FLAG_CHRYSLER_RAM_DT
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.
# Chrysler
if candidate in (CAR.PACIFICA_2017_HYBRID, CAR.PACIFICA_2018, CAR.PACIFICA_2018_HYBRID, CAR.PACIFICA_2019_HYBRID, CAR.PACIFICA_2020):
ret.mass = 2242. + STD_CARGO_KG
ret.wheelbase = 3.089
ret.steerRatio = 16.2 # 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
# Jeep
elif candidate in (CAR.JEEP_CHEROKEE, CAR.JEEP_CHEROKEE_2019):
ret.mass = 1778 + STD_CARGO_KG
ret.wheelbase = 2.71
ret.steerRatio = 16.7
ret.steerActuatorDelay = 0.2
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
# Ram
elif candidate == CAR.RAM_1500:
ret.steerActuatorDelay = 0.2
ret.wheelbase = 3.88
ret.steerRatio = 16.3
ret.mass = 2493. + STD_CARGO_KG
CarInterfaceBase.configure_torque_tune(candidate, ret.lateralTuning)
ret.minSteerSpeed = 14.5
if car_fw is not None:
for fw in car_fw:
if fw.ecu == 'eps' and fw.fwVersion in (b"68312176AE", b"68312176AG", b"68273275AG"):
ret.minSteerSpeed = 0.
elif candidate == CAR.RAM_HD:
ret.steerActuatorDelay = 0.2
ret.wheelbase = 3.785
ret.steerRatio = 15.61
ret.mass = 3405. + STD_CARGO_KG
ret.minSteerSpeed = 16
CarInterfaceBase.configure_torque_tune(candidate, ret.lateralTuning, 1.0, False)
else:
raise ValueError(f"Unsupported car: {candidate}")
ret.centerToFront = ret.wheelbase * 0.44
# 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.enableBsm = 720 in fingerprint[0]
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
ret.dashcamOnly = candidate in PREGLOBAL_CARS
if candidate in PREGLOBAL_CARS:
ret.enableBsm = 0x25c in fingerprint[0]
ret.safetyConfigs = [get_safety_config(car.CarParams.SafetyModel.subaruLegacy)]
else:
ret.enableBsm = 0x228 in fingerprint[0]
ret.safetyConfigs = [get_safety_config(car.CarParams.SafetyModel.subaru)]
if candidate in GLOBAL_GEN2:
ret.safetyConfigs[0].safetyParam |= Panda.FLAG_SUBARU_GEN2
ret.steerLimitTimer = 0.4
ret.steerActuatorDelay = 0.1
CarInterfaceBase.configure_torque_tune(candidate, ret.lateralTuning)
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.init('pid')
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]]
elif 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.init('pid')
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]]
elif 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.lateralTuning.init('pid')
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]]
elif 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.lateralTuning.init('pid')
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]]
elif candidate in (CAR.OUTBACK, CAR.LEGACY):
ret.mass = 1568. + STD_CARGO_KG
ret.wheelbase = 2.67
ret.centerToFront = ret.wheelbase * 0.5
ret.steerRatio = 17
ret.steerActuatorDelay = 0.1
CarInterfaceBase.configure_torque_tune(candidate, ret.lateralTuning)
elif 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
elif 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
elif 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
else:
raise ValueError(f"unknown car: {candidate}")
# 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(),
car_fw=None,
disable_radar=False):
ret = CarInterfaceBase.get_std_params(candidate, fingerprint)
ret.carName = "volkswagen"
ret.radarOffCan = True
if candidate in PQ_CARS:
# Set global PQ35/PQ46/NMS parameters
ret.safetyConfigs = [
get_safety_config(car.CarParams.SafetyModel.volkswagenPq)
]
ret.enableBsm = 0x3BA in fingerprint[0] # SWA_1
if 0x440 in fingerprint[0]: # Getriebe_1
ret.transmissionType = TransmissionType.automatic
else:
ret.transmissionType = TransmissionType.manual
if any(msg in fingerprint[1]
for msg in (0x1A0, 0xC2)): # Bremse_1, Lenkwinkel_1
ret.networkLocation = NetworkLocation.gateway
else:
ret.networkLocation = NetworkLocation.fwdCamera
# The PQ port is in dashcam-only mode due to a fixed six-minute maximum timer on HCA steering. An unsupported
# EPS flash update to work around this timer, and enable steering down to zero, is available from:
# https://github.com/pd0wm/pq-flasher
# It is documented in a four-part blog series:
# https://blog.willemmelching.nl/carhacking/2022/01/02/vw-part1/
# Panda ALLOW_DEBUG firmware required.
ret.dashcamOnly = True
if disable_radar and ret.networkLocation == NetworkLocation.gateway:
# Proof-of-concept, prep for E2E only. No radar points available. Follow-to-stop not yet supported, but should
# be simple to add when a suitable test car becomes available. Panda ALLOW_DEBUG firmware required.
ret.openpilotLongitudinalControl = True
ret.safetyConfigs[
0].safetyParam |= Panda.FLAG_VOLKSWAGEN_LONG_CONTROL
else:
# 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.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]
# Global longitudinal tuning defaults, can be overridden per-vehicle
ret.pcmCruise = not ret.openpilotLongitudinalControl
ret.longitudinalActuatorDelayUpperBound = 0.5 # s
ret.longitudinalTuning.kpV = [0.1]
ret.longitudinalTuning.kiV = [0.0]
# 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.PASSAT_NMS:
ret.mass = 1503 + STD_CARGO_KG
ret.wheelbase = 2.80
ret.minEnableSpeed = 20 * CV.KPH_TO_MS # ACC "basic", no FtS
ret.minSteerSpeed = 50 * CV.KPH_TO_MS
ret.steerActuatorDelay = 0.2
CarInterfaceBase.configure_torque_tune(candidate,
ret.lateralTuning)
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
