Analysis of parameter identification methods for electrical Li-Ion battery modelling

Author

Mueller, Klaus ; Schwiederik, Edgar ; Tittel, Daniel

Author_Institution

Syst. Dev., IAV GmbH, Gifhorn, Germany

fYear

2013

fDate

17-20 Nov. 2013

Firstpage

1

Lastpage

9

Abstract

To fulfil lifetime requirements of a HV-Battery by simultaneously keeping drive performance it is indispensable to well-suit the BMS application. Therefore, knowledge of battery aging and the change of the battery model parameters in time are mandatory. Introducing a real time Li-Ion battery model, this article issues the topic of parameter identification and which kind of optimization method fits the best to the optimization problem on hand for stable and fast parameter identification.

Keywords

battery management systems; battery powered vehicles; optimisation; parameter estimation; secondary cells; BMS application; HV-battery; battery aging; battery management system; battery model parameters; electrical Li-Ion battery modelling; optimization method; parameter identification methods; real time battery model; Batteries; Equations; Impedance; Integrated circuit modeling; Mathematical model; Parameter estimation; Temperature measurement; Li-Ion battery model; gradient method; impedance; parameter identification; particle swarm optimization;

fLanguage

English

Publisher

ieee

Conference_Titel

Electric Vehicle Symposium and Exhibition (EVS27), 2013 World

Conference_Location

Barcelona

Type

conf

DOI

10.1109/EVS.2013.6914955

Filename

6914955