Mathematical modeling of aging factors for Li-ion battery cells

Author

Al Jed, Habib ; Mieze, André ; Vinassa, Jean-Michel ; Simon, Rémi

Author_Institution

Dept. Electr., Inf. et Autom., EIGSI, La Rochelle, France

fYear

2010

fDate

1-3 Sept. 2010

Firstpage

1

Lastpage

4

Abstract

Battery´s aging could be characterized using four crucial parameters defined as the `aging factors´, which are: residual capacity, internal resistance, peak power and Open Circuit Voltage. A `black box´ modeling approach is used to estimate them in function of time and usage conditions. The model is based on regression linear or non-linear techniques applied to experimental data. The Multiple Linear Regression (RLM) method is proved to be efficient for the only OCV model, while Support Vector Machine (SVM) gives satisfying results for the four aging factors.

Keywords

ageing; regression analysis; secondary cells; support vector machines; Li-ion battery cells; OCV model; aging factors; black box modeling; multiple linear regression method; nonlinear techniques; support vector machine; Aging; Batteries; Integrated circuit modeling; Mathematical model; Resistance; Support vector machines; System-on-a-chip; Battery cells aging; Linear and non-linear Regression; Lithium-ion; Modeling;

fLanguage

English

Publisher

ieee

Conference_Titel

Vehicle Power and Propulsion Conference (VPPC), 2010 IEEE

Conference_Location

Lille

Print_ISBN

978-1-4244-8220-7

Type

conf

DOI

10.1109/VPPC.2010.5729124

Filename

5729124