Lithium-ion battery state of charge estimation using a fractional battery model

Author

Francisco, J.M. ; Sabatier, J. ; Lavigne, L. ; Guillemard, F. ; Moze, M. ; Tari, M. ; Merveillaut, M. ; Noury, A.

Author_Institution

PSA Peugeot Citroen, Velizy-Villacoublay, France

fYear

2014

fDate

23-25 June 2014

Firstpage

1

Lastpage

6

Abstract

With the development of hybrid and electric vehicles, automobile battery management systems (BMS) play a key role for a safe and optimal use of the battery within the powertrain. These systems have to give critical information on state of health, state of charge and available power for example. The accuracy of the information manipulated by the BMS depends on the embedded battery model accuracy. In this paper, we present a new State Of Charge (SOC) estimation algorithm based on a fractional battery model, for use in real-time in an automotive BMS.

Keywords

automobiles; battery management systems; battery powered vehicles; secondary cells; SOC estimation algorithm; automobile battery management systems; electric vehicles; fractional battery model; lithium-ion battery state of charge estimation; Batteries; Electrodes; Estimation error; Integrated circuit modeling; Observers; System-on-chip; Battery Management System (BMS); Lithium-ion batteries; State-Of-Charge (SOC); estimation; fractional model;

fLanguage

English

Publisher

ieee

Conference_Titel

Fractional Differentiation and Its Applications (ICFDA), 2014 International Conference on

Conference_Location

Catania

Type

conf

DOI

10.1109/ICFDA.2014.6967413

Filename

6967413