# -*- 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 constants to define the clutch_torque_converter_model selector.
"""
import copy
import schedula as sh
from ...physical.clutch_tc import dsp as _clutch_tc
from ...physical.engine import calculate_engine_speeds_out
#: Model name.
name = 'clutch_torque_converter_model'
#: Parameters that constitute the model.
models = ['clutch_window', 'clutch_speed_model', 'torque_converter_speed_model']
#: Inputs required to run the model.
inputs = [
'gear_box_speeds_in', 'on_engine', 'idle_engine_speed', 'gear_box_type',
'gears', 'accelerations', 'times', 'gear_shifts', 'engine_speeds_out_hot',
'velocities', 'has_torque_converter', 'gear_box_torques_in'
]
#: Relevant outputs of the model.
outputs = ['engine_speeds_out']
#: Targets to compare the outputs of the model.
targets = outputs
#: Extra inputs for the metrics.
metrics_inputs = ['on_engine']
[docs]def metric_clutch_torque_converter_model(y_true, y_pred, on_engine):
"""
Metric for the `clutch_torque_converter_model`.
:param y_true:
Reference engine speed vector [RPM].
:type y_true: numpy.array
:param y_pred:
Predicted engine speed vector [RPM].
:type y_pred: numpy.array
:param on_engine:
If the engine is on [-].
:type on_engine: numpy.array
:return:
Error.
:rtype: float
"""
from co2mpas.utils import mae
return float(mae(y_true[on_engine], y_pred[on_engine]))
#: Metrics to compare outputs with targets.
metrics = sh.map_list(targets, metric_clutch_torque_converter_model)
#: Upper score limits to raise the warnings.
up_limit = sh.map_list(targets, 100)
#: Prediction model.
dsp = copy.deepcopy(_clutch_tc).add_function(
function=calculate_engine_speeds_out,
inputs=['on_engine', 'idle_engine_speed', 'engine_speeds_out_hot',
'clutch_tc_speeds_delta'],
outputs=['engine_speeds_out']
)
