Recursive Adaptive Parameters Estimation for LiFePO4 Battery Model

Author

Wei Jian ; Xuehuan Jiang ; Jinliang Zhang ; Yufeng Chen

Author_Institution

Sch. of Electr. & Inf. Eng., Hubei Univ. of Automotive Technol., Shiyan, China

fYear

2013

fDate

21-23 June 2013

Firstpage

1138

Lastpage

1141

Abstract

An algorithm of recursive parameters estimation for Partnership for a New Generation Vehicle (PNGV) model of LiFePO₄ lithium-ion battery is proposed. Firstly, the states vector and parameters vector are obtained by discretizing the model´s states equation. And then a projection algorithm based on equation error method is used in the process of the recursive estimation. The algorithm is used in simulation for Hybrid Pulse Power Characterization (HPPC) dataset. Results show that our algorithm is feasible and better performance is achieved.

Keywords

battery management systems; iron compounds; lithium compounds; secondary cells; HPPC dataset; LiFePO₄; LiFePO₄ battery model; PNGV model; equation error method; hybrid pulse power characterization; partnership for a new generation vehicle model; recursive adaptive parameter estimation; Batteries; Discharges (electric); Equations; Mathematical model; Parameter estimation; Recursive estimation; Resistance; LiFePO4 battery; battery model; parameters estimation; recursive;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational and Information Sciences (ICCIS), 2013 Fifth International Conference on

Conference_Location

Shiyang

Type

conf

DOI

10.1109/ICCIS.2013.302

Filename

6643219