'maximum': 500
}
}
limits_current_battery = {
'charge': {
'minimum': 0,
'maximum': 1000
},
'discharge': {
'minimum': -1000,
'maximum': 0
}
}
power_profile_1, time_1 = power_profile.WltpProfile(specs, (1, ))
t_wltp1 = electrical.Evolution(list(time_1))
p_wltp1 = electrical.Evolution(list(power_profile_1))
power_profile_2, time_2 = power_profile.WltpProfile(specs, (2, ))
t_wltp2 = electrical.Evolution(list(time_2))
p_wltp2 = electrical.Evolution(list(power_profile_2))
power_profile_3, time_3 = power_profile.WltpProfile(specs, (3, ))
t_wltp3 = electrical.Evolution(list(time_3))
p_wltp3 = electrical.Evolution(list(power_profile_3))
t_load = electrical.Evolution(list(range(10)))
p_load = electrical.Evolution([1e5] * 10)
t_end = electrical.Evolution(list(range(10)))
p_end = electrical.Evolution([-2e4] * 10)
ce_end = electrical.CombinationEvolution(evolution1=[t_end],
"""
from powerpack import cells, power_profile, electrical, thermal, mechanical
from powerpack.optimization import electrical as eo
from powerpack.optimization import thermal as to
from powerpack.optimization import mechanical as mo
from dessia_common import workflow as wf
import numpy as npy
# =============================================================================
# Thermal specification
# =============================================================================
nb_discret = 4
evol_soc = electrical.Evolution(evolution=list(npy.linspace(0, 1, nb_discret)))
soc_charger = electrical.Evolution(evolution=[0, 0.2, 0.5, 1])
current_charger = electrical.Evolution(evolution=[60, 60, 30, 10])
ce_charger = electrical.CombinationEvolution(evolution1=[soc_charger],
evolution2=[current_charger],
title1='Soc',
title2='Current')
se_charger = electrical.SpecsEvolution(temperature=298.15,
charge=ce_charger,
title='Current')
cce_charger = electrical.CombinationSpecsEvolution(specs_evolutions=[se_charger],
title='Current')
evol_temperature = electrical.Evolution(evolution = [270, 290, 310, 330])
evol_thermal_trans1 = electrical.Evolution(evolution = [0.1, 0.5, 1, 1.5])
limits_voltage = {'charge': {'minimum': 0, 'maximum': 1000},
'discharge': {'minimum': 0, 'maximum': 600}},
limits_current = {'charge': {'minimum': 0, 'maximum': 2000},
'discharge': {'minimum': -500, 'maximum': 0}})
# plots = b1.concept_plot_data()
# pdg = plot_data.plot_d3(plots[0])
VEHICLE_SPECS = {'SCx' : 1,
'Crr' : 0.01,
'mass' : 1300,
'powertrain_efficiency' : 0.7,
'charge_efficiency' : 0.5}
POWER_PROFILE, TIME = power_profile.WltpProfile(VEHICLE_SPECS, (1, ))
t_wltp = electrical.Evolution(list(TIME), name='t_wltp')
p_wltp = electrical.Evolution(list(POWER_PROFILE))
t_load = electrical.Evolution(list(range(10)))
p_load = electrical.Evolution([1e5]*10)
t_end = electrical.Evolution(list(range(10)))
p_end = electrical.Evolution([-2e4]*10)
ce_end = electrical.CombinationEvolution(evolution1 = [t_end],
evolution2 = [p_end])
ce_wltp = electrical.CombinationEvolution(evolution1 = [t_wltp],
evolution2 = [p_wltp])
ce_load = electrical.CombinationEvolution(evolution1 = [t_load],
evolution2 = [p_load])
load_bat = electrical.PowerProfile(soc_init = 0.05*180000, combination_evolutions = [ce_load],