--(( Project has moved to https://code.europa.eu/jrc-ldv/jrshift since version 1.1.3 ))--=========================================================================================
- versions
- documentation
https://gearshift-calculation-tool.readthedocs.io/en/latest/
- sources
- keywords
automotive, car, cars, driving, engine, emissions, fuel-consumption, gears, gearshifts, rpm, simulation, simulator, standard, vehicle, vehicles, WLTP
- short name
JR-Shift
- live-demo
- Copyright and License
© Copyright (c) 2021 European Union.
Licensed under the EUPL, Version 1.2 or – as soon they will be approved by the European Commission – subsequent versions of 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:
Unless required by applicable law or agreed to in writing, software distributed under the Licence is distributed on an "AS IS" basis, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the Licence for the specific language governing permissions and limitations under the Licence.
A python-3.6+ package to generate the gear-shifts of Light-duty vehicles
Table of Contents
The aim of the JR-Shift is obtain the Required Engine Speeds, the Available Powers, the Required Vehicle Speeds and the Gears for the whole WLTC based on the vehicle characteristics. The model should allow accurate calculation of final trace and the operating conditions of the engine.
The calculator accepts as input an excel file that contains the vehicle's technical data, along with parameters for modifying the execution WLTC cycle, and it then spits-out the gear-shifts of the vehicle and the others parameters used during the obtaining of these. It does not calculate any CO2 emissions.
Python-3.6+ is required and Python-3.7 recommended. It requires numpy/scipy and pandas libraries with native backends.
Tip
On Windows, it is preferable to use the Anaconda distribution. To avoid possible incompatibilities with other projects
Download the sources,
either with git, by giving this command to the terminal:
git clone https://github.com/JRCSTU/gearshift_calculation_tool --depth=1
From within the project directory, run one of these commands to install it:
for standard python, installing with
pipis enough (but might):pip install -e .[path_to_gearshift_calculation_tool_folder]
The files and folders of the project are listed below:
+--gearshift/ # main folder that contains the whole gearshift project
| +--cli/ # folder that contains all cli scripts
| +--core/ # folder that contains core packages
| +--load/ # (package) python-code of the load
| +--speed_phases/ # folder that contains speed phases in ftr format
| +--excel.py # (script) load from the excel file parameters
| +--model/ # (package) python-code of the model
| +--calculateShiftpointsNdvFullPC/ # (package) python-code of the calculate shift points, Ndv and FullPC
| +--scaleTrace/ # (package) python-code of the calculate scale trace
| +--write/ # (package) python-code of the write
| +--excel.py # (script) write to the excel file output parameters
| +--demos/ # folder that contains demo files
| +--docs/ # folder that contains documentation
+-- AUTHORS.rst
+--setup.py # (script) The entry point for `setuptools`, installing, testing, etc
+--README.rst
+--LICENSE.txtThe command-line usage below requires the Python environment to be installed, and provides for executing an experiment directly from the OS's shell (i.e. cmd in windows or bash in POSIX), and in a single command. To have precise control over the inputs and outputs
$ gearshift --help ## to get generic help for cmd-line syntax
$ gearshift demo ## to get demo input file
$ gearshift run "path_input_file" -O "path_to_save_output_file" ## to run gearshift toolIn this example we will use gearshift model in order to predict the gears.
Import dispatcher(dsp) from gearshift tool that contains functions and simulation model to process vehicle data and Import also schedula for selecting and executing functions. for more information on how to use schedula
from gearshift.core import dsp
import schedula as shLoad vehicle data for a specific vehicle from excel template
vehData = 'gs_input_demo.xlsx'
Define the input dictionary for the dispacher.
input = dict(input_file_name=vehData)
Dispatcher will select and execute the proper functions for the given inputs and the requested outputs
core = dsp(input, outputs=['sol'], shrink=True)
Plot workflow of the core model from the dispatcher
core.plot()
This will automatically open an internet browser and show the work flow of the core model as below. You can click all the rectangular boxes to see in detail sub models like load, model, write and plot.
The load module
Load outputs of dispatcher Select the chosen dictionary key (sol) from the given dictionary.
solution = sh.selector(['sol'], sh.selector(['sol'], core))
Select each output case
# Select first case solution['sol'][0] # Select second case case solution['sol'][1] # Select gears output for different cases gears = {} for sol in solution['sol']: gears[f'gears_{sol["Case"]}'] = sol['GearsOutput']
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