Electric vehicle energy model (2023)

Available

Dataset

Licence : CC BY-NC-SA doi:10.25666/DATAUBFC-2022-04-08

Data creator : Romain Tabusse ^[1]

Data collector : Université de technologie de Belfort Montbéliard, Franche-Comté Electronique Mécanique Thermique et Optique - Sciences et Technologies (UMR 6174)

Related person : Daniela Chrenko ^[1], Samir Jemei ^[2], David Bouquain ^[2]

[1] : Franche-Comté Electronique Mécanique Thermique et Optique - Sciences et Technologies (UMR 6174) (Université de technologie de Belfort Montbéliard)

[2] : Franche-Comté Electronique Mécanique Thermique et Optique - Sciences et Technologies (UMR 6174) (Université de Franche-Comté)

Description :

The project is a simple electric vehicle energy model. It uses the fundamental principle of dynamics to determine the power profile seen by a battery cell for a given mission. The input data are GPX files of the actual path considered. They can also be replaced by a speed and slope profile.
In the developed example, several round trips are used between the cities of Belfort and Montbéliard and the cities of Echenans-sous-Mont-Vaudois. These routes were recorded with a Renault Zoe ZE40 vehicle, a Garmin 735XT (1Hz) GPS running watch and pre-processed by the free GPS Track Editor software (http://www.gpstrackeditor.com/).

Disciplines :

electrochemistry (chemistry), energy & fuels (engineering science), engineering, electrical & electronic (engineering science), engineering, industrial (engineering science), physics, atomic, molecular & chemical (physics), multidisciplinary sciences

Keywords :

battery, electric vehicle

General metadata

Data acquisition date : 30 Sep 2021

Data acquisition methods :

Simulation or computational data :
- Programming language: Matlab language

- Platform/OS: Microsoft Windows, Mac OS, Linux,...

- Version: MATLAB R2018a

- Development status: Active

Update periodicity : no update

Language : French (fra)

Formats : application/gpx+xml, text/x-matlab

Audience : University: master, Research

Publications :

R. Tabusse, D. Bouquain, S. Jemei, et D. Chrenko, « Battery aging test design during first and second life », in 2020 IEEE Vehicle Power and Propulsion Conference (VPPC), nov. 2020, p. 1 6. (doi:10.1109/VPPC49601.2020.9330977)

Collection :

Publisher : dataUBFC - Atelier de la donnée de Bourgogne-Franche-Comté

Label : Plateforme Hydrogène-Energie

Project and funder :

Thèse de doctorat en génie électrique - Romain Tabusse
- Projet BOLT - financement région 2018 (Region Bourgogne Franche-Comté)

Additional information :

Model created during the thesis in electrical engineering, by Romain Tabusse (Utilisation des batteries en première et deuxième vie), co-supervised by Daniela Chrenko (MCF at the FEMTO-ST laboratory) and Samir Jemei (PU at the FEMTO-ST laboratory).