# -*- coding: utf-8 -*-
#
# Copyright 2015-2019 European Commission (JRC);
# Licensed under the EUPL (the 'Licence');
# You may not use this work except in compliance with the Licence.
# You may obtain a copy of the Licence at: http://ec.europa.eu/idabc/eupl
"""
Functions and `dsp` model to model the DC/DC Converter.
"""
import numpy as np
import schedula as sh
dsp = sh.BlueDispatcher(
name='DC/DC Converter',
description='Models the DC/DC Converter.'
)
[docs]@sh.add_function(
dsp, inputs_kwargs=True, inputs_defaults=True,
outputs=['dcdc_converter_electric_powers_demand']
)
def calculate_dcdc_converter_electric_powers_demand(
dcdc_converter_electric_powers, dcdc_converter_efficiency=.95):
"""
Calculate DC/DC converter electric power demand [kW].
:param dcdc_converter_electric_powers:
DC/DC converter electric power [kW].
:type dcdc_converter_electric_powers: numpy.array | float
:param dcdc_converter_efficiency:
DC/DC converter efficiency [-].
:type dcdc_converter_efficiency: float
:return:
DC/DC converter electric power demand [kW].
:rtype: numpy.array | float
"""
from ..motors.p4 import calculate_motor_p4_powers_v1 as func
return func(dcdc_converter_electric_powers, dcdc_converter_efficiency)
[docs]@sh.add_function(dsp, outputs=['dcdc_converter_electric_powers'])
def calculate_dcdc_converter_electric_powers_v1(
dcdc_converter_electric_powers_demand, dcdc_converter_efficiency):
"""
Calculate DC/DC converter electric power [kW].
:param dcdc_converter_electric_powers_demand:
DC/DC converter electric power demand [kW].
:type dcdc_converter_electric_powers_demand: numpy.array | float
:param dcdc_converter_efficiency:
DC/DC converter efficiency [-].
:type dcdc_converter_efficiency: float
:return:
DC/DC converter electric power [kW].
:rtype: numpy.array | float
"""
from ..motors.p4 import calculate_motor_p4_electric_powers as f
return f(dcdc_converter_electric_powers_demand, dcdc_converter_efficiency)
[docs]@sh.add_function(dsp, outputs=['dcdc_converter_electric_powers'])
def calculate_dcdc_converter_electric_powers(
dcdc_converter_currents, service_battery_nominal_voltage):
"""
Calculates DC/DC converter electric powers [kW].
:param dcdc_converter_currents:
DC/DC converter currents [A].
:type dcdc_converter_currents: numpy.array | float
:param service_battery_nominal_voltage:
Service battery nominal voltage [V].
:type service_battery_nominal_voltage: float
:return:
DC/DC converter electric power [kW].
:rtype: numpy.array | float
"""
return dcdc_converter_currents * (service_battery_nominal_voltage / 1000)
[docs]@sh.add_function(dsp, outputs=['dcdc_converter_currents'])
def calculate_dcdc_converter_currents(
dcdc_converter_electric_powers, service_battery_nominal_voltage):
"""
Calculate DC/DC converter current [A].
:param dcdc_converter_electric_powers:
DC/DC converter electric power [kW].
:type dcdc_converter_electric_powers: numpy.array | float
:param service_battery_nominal_voltage:
Service battery nominal voltage [V].
:type service_battery_nominal_voltage: float
:return:
DC/DC converter currents [A].
:rtype: numpy.array | float
"""
c = 1000 / service_battery_nominal_voltage
return dcdc_converter_electric_powers * c
[docs]@sh.add_function(dsp, outputs=['dcdc_current_model'])
def define_dcdc_current_model(dcdc_charging_currents):
"""
Defines an DC/DC converter current model that predicts its current [A].
:param dcdc_charging_currents:
Mean charging currents of the DC/DC converter (for negative and positive
power)[A].
:type dcdc_charging_currents: (float, float)
:return:
DC/DC converter current model.
:rtype: callable
"""
from ..motors.alternator.current import define_alternator_current_model
return define_alternator_current_model(dcdc_charging_currents)
[docs]@sh.add_function(dsp, outputs=['dcdc_current_model'])
def calibrate_dcdc_current_model(
dcdc_converter_currents, times, service_battery_state_of_charges,
service_battery_charging_statuses, service_battery_initialization_time):
"""
Calibrates an DC/DC current model that predicts DC/DC current [A].
:param dcdc_converter_currents:
DC/DC converter currents [A].
:type dcdc_converter_currents: numpy.array
:param times:
Time vector [s].
:type times: numpy.array
:param service_battery_state_of_charges:
State of charge of the service battery [%].
:type service_battery_state_of_charges: numpy.array
:param service_battery_charging_statuses:
Service battery charging statuses (0: Discharge, 1: Charging, 2: BERS,
3: Initialization) [-].
:type service_battery_charging_statuses: numpy.array
:param service_battery_initialization_time:
Service battery initialization time delta [s].
:type service_battery_initialization_time: float
:return:
DC/DC converter current model.
:rtype: callable
"""
from ..motors.alternator.current import AlternatorCurrentModel
statuses = service_battery_charging_statuses
return AlternatorCurrentModel().fit(
dcdc_converter_currents, np.in1d(statuses, (1, 3)), times,
service_battery_state_of_charges, statuses,
init_time=service_battery_initialization_time
)
[docs]@sh.add_function(dsp, outputs=['dcdc_converter_currents'])
def predict_dcdc_converter_currents(
dcdc_current_model, times, service_battery_state_of_charges,
service_battery_charging_statuses, service_battery_initialization_time):
"""
Predict DC/DC converter current [A].
:param dcdc_current_model:
DC/DC converter current model.
:type dcdc_current_model: callable
:param times:
Time vector [s].
:type times: numpy.array
:param service_battery_state_of_charges:
State of charge of the service battery [%].
:type service_battery_state_of_charges: numpy.array
:param service_battery_charging_statuses:
Service battery charging statuses (0: Discharge, 1: Charging, 2: BERS,
3: Initialization) [-].
:type service_battery_charging_statuses: numpy.array
:param service_battery_initialization_time:
Service battery initialization time delta [s].
:type service_battery_initialization_time: float
:return:
DC/DC converter currents [A].
:rtype: numpy.array
"""
return dcdc_current_model.predict(np.column_stack((
times, service_battery_state_of_charges,
service_battery_charging_statuses
)), init_time=service_battery_initialization_time)
[docs]@sh.add_function(dsp, outputs=['dcdc_converter_currents'], weight=sh.inf(10, 3))
def default_dcdc_converter_currents(times, is_hybrid):
"""
Return zero current if the vehicle is not hybrid [A].
:param times:
Time vector [s].
:type times: numpy.array
:param is_hybrid:
Is the vehicle hybrid?
:type is_hybrid: bool
:return:
DC/DC converter currents [A].
:rtype: numpy.array
"""
from ..motors.p4 import default_motor_p4_powers as func
return func(times, is_hybrid)
