# -*- 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 CMV Approach with Cold/Hot.
"""
import schedula as sh
from co2mpas.defaults import dfl
from .core import prediction_gears_gsm, GSMColdHot
dsp = sh.BlueDispatcher(name='Corrected Matrix Velocity Approach with Cold/Hot')
[docs]@sh.add_function(
dsp, inputs_kwargs=True, inputs_defaults=True, outputs=['CMV_Cold_Hot']
)
def calibrate_gear_shifting_cmv_cold_hot(
correct_gear, times, gears, engine_speeds_out, velocities,
accelerations, motive_powers, velocity_speed_ratios,
time_cold_hot_transition=dfl.values.time_cold_hot_transition,
stop_velocity=dfl.values.stop_velocity):
"""
Calibrates a corrected matrix velocity for cold and hot phases to predict
gears.
:param correct_gear:
A function to correct the predicted gear.
:type correct_gear: callable
:param times:
Time vector [s].
:type times: numpy.array
:param gears:
Gear vector [-].
:type gears: numpy.array
:param engine_speeds_out:
Engine speed vector [RPM].
:type engine_speeds_out: numpy.array
:param velocities:
Vehicle velocity [km/h].
:type velocities: numpy.array
:param accelerations:
Vehicle acceleration [m/s2].
:type accelerations: numpy.array
:param motive_powers:
Motive power [kW].
:type motive_powers: numpy.array
:param velocity_speed_ratios:
Constant velocity speed ratios of the gear box [km/(h*RPM)].
:type velocity_speed_ratios: dict[int | float]
:param time_cold_hot_transition:
Time at cold hot transition phase [s].
:type time_cold_hot_transition: float
:param stop_velocity:
Maximum velocity to consider the vehicle stopped [km/h].
:type stop_velocity: float
:returns:
Two corrected matrix velocities for cold and hot phases.
:rtype: dict
"""
from .cmv import CMV
model = GSMColdHot(time_cold_hot_transition=time_cold_hot_transition).fit(
CMV, times, correct_gear, gears, engine_speeds_out, times, velocities,
accelerations, motive_powers, velocity_speed_ratios, stop_velocity
)
return model or sh.NONE
# predict gears with corrected matrix velocity
dsp.add_function(
function=prediction_gears_gsm,
inputs=[
'correct_gear', 'gear_filter', 'CMV_Cold_Hot', 'times', 'velocities',
'accelerations', 'motive_powers', 'cycle_type', 'velocity_speed_ratios'
],
outputs=['gears']
)
