DocumentCode :
3480271
Title :
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
Link To Document :
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