Next Article in Journal
Evaluation of low power electric vehicles in demanding urban conditions: an application to Lisbon
Previous Article in Journal
Can policy measures foster plug-in electric vehicle market diffusion?
 
 
World Electric Vehicle Journal is published by MDPI from Volume 9 issue 1 (2018). Previous articles were published by The World Electric Vehicle Association (WEVA) and its member the European Association for e-Mobility (AVERE), the Electric Drive Transportation Association (EDTA), and the Electric Vehicle Association of Asia Pacific (EVAAP). They are hosted by MDPI on mdpi.com as a courtesy and upon agreement with AVERE.
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Electrochemical model and its parameters identification tool for the follow up of batteries ageing

by
Julien Hafsaoui
* and
Franck Sellier
LMS Imagine, 84 Quai Charles de Gaulle, Lyon, 69006, France
*
Author to whom correspondence should be addressed.
World Electr. Veh. J. 2010, 4(2), 386-395; https://doi.org/10.3390/wevj4020386
Published: 25 June 2010

Abstract

This paper describes research into the definition of experimental protocols, and the development of a numerical model of a battery, associated with a parameterization assistant tool in order to follow battery ageing. This work was carried out as part of the SIMSTOCK program. The experimental characterizations (ageing cycle tests and characterization protocols) are defined in association with the different research lab partners of the project. They were performed on Lithium-ion VL6P cells supplied by Johnson Control - SAFT (J.C.S). The characterization protocols are performed at different phases of a program: initially to establish the reference value parameters and periodically, in order to follow all the changes occurring during the ageing of a Li-Ion battery. The different numerical tools presented in this paper are adapted to the LMS-Imagine Lab AMESim simulation platform. The present model makes it possible to simulate the dynamical voltage response of the battery as a function of inlet current and temperature. The identification tool associated is able to determine from a temporal experimental characterization of the battery (U and I), the data necessary for the implementation of the parameters in the model. The assistant tool identifies the parameters of the numerical model at different ages of the Li-Ion battery. Its results are used in order to quantify the influence of ageing phenomena on the performance of the battery considered.
Keywords: Battery Electrochemical Model; Parameter Assistant Tool; Ageing Battery Electrochemical Model; Parameter Assistant Tool; Ageing

Share and Cite

MDPI and ACS Style

Hafsaoui, J.; Sellier, F. Electrochemical model and its parameters identification tool for the follow up of batteries ageing. World Electr. Veh. J. 2010, 4, 386-395. https://doi.org/10.3390/wevj4020386

AMA Style

Hafsaoui J, Sellier F. Electrochemical model and its parameters identification tool for the follow up of batteries ageing. World Electric Vehicle Journal. 2010; 4(2):386-395. https://doi.org/10.3390/wevj4020386

Chicago/Turabian Style

Hafsaoui, Julien, and Franck Sellier. 2010. "Electrochemical model and its parameters identification tool for the follow up of batteries ageing" World Electric Vehicle Journal 4, no. 2: 386-395. https://doi.org/10.3390/wevj4020386

Article Metrics

Back to TopTop