The Study on the Battery Modeling through the Mathematical Modeling Techniques of High-Power Lithium-Polymer Battery for HEV

Article Preview

Abstract:

This paper proposes the battery mathematical for modeling HEV(Hybrid Electrical Vehicle) high-power lithium-polymer battery. The nonlinear characteristics of Lithium Battery are expressed by the state equation. The battery parameters are obtained by the least square method to minimize errors using charge and discharge driving cycle data. The proposed method is verified by the battery cycler.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

543-547

Citation:

Online since:

December 2012

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Plett, G., Extended Kalman Filtering for Battery Management Systems of LiPB-Based HEV Battery Packs—Part 1: Background, Journal of Power Sources, Vol. 134, No. 2, August 2004, p.252–61.

DOI: 10.1016/j.jpowsour.2004.02.031

Google Scholar

[2] Plett, G., Extended Kalman Filtering for Battery Management Systems of LiPB-Based HEV Battery Packs—Part 2: Modeling and Identification, Journal of Power Sources, Vol. 134, No. 2, August 2004, p.262–76.

DOI: 10.1016/j.jpowsour.2004.02.032

Google Scholar

[3] Plett, G., Extended Kalman Filtering for Battery Management Systems of LiPB-Based HEV Battery Packs—Part 3: State and Parameter Estimation, Journal of Power Sources, Vol. 134, No. 2, August 2004, p.277–92.

DOI: 10.1016/j.jpowsour.2004.02.033

Google Scholar

[4] Plett, G., Recursive approximate weighted total least squares estimation of battery cell total capacity, Journal of Power Sources, Vol. 196, No. 4, February 2011, p.2319–2331.

DOI: 10.1016/j.jpowsour.2010.09.048

Google Scholar