Volume 5 Number 3 (Jun. 2013)
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IJCEE 2013 Vol.5(3): 330-333 ISSN: 1793-8163
DOI: 10.7763/IJCEE.2013.V5.725

An Improved Electric Model with Online Parameters Correction for Large Li-Ion Battery Packs

Daiming Yang, Chao Lu, and Guoguang Qi
Abstract—Lithium-ion battery packs based battery energy storage system (BESS) has proved its high potential in energy storage. In studying the BESS, A precise battery model is critical for implementing the system simulation, estimating the SOC, SOH of the battery, as well as optimizing the design. An electric model which can reflect the hysteresis effect and dynamic characteristic is adopted in this paper, and based on that, we proposed a novel method for battery model identification and on-line correction of model parameters by extended Kalman filter (EKF). Thus the parameters of battery model can be regulated in the progress of battery charge and discharge. The method is proved to be efficient and accurate by comparing the simulation result with the experiment data.

Index Terms—Battery modeling, Li-ion battery pack, extended Kalman filter (EKF), model identification, on-line correction.

D. Yang and C. Lu are with the Department of Electrical Engineering, Tsinghua University, Beijing 100084 China (e-mail: yangdaiming@ gmail.com, luchao@tsinghua.edu.cn).
G. Qi is with the Department of Computer Science, Tsinghua University, Beijing 100084 China (e-mail: qiguo@ mail.tsinghua.edu.cn).

Cite:Daiming Yang, Chao Lu, and Guoguang Qi, "An Improved Electric Model with Online Parameters Correction for Large Li-Ion Battery Packs," International Journal of Computer and Electrical Engineering vol. 5, no. 3, pp. 330-333, 2013.

General Information

ISSN: 1793-8163 (Print)
Abbreviated Title: Int. J. Comput. Electr. Eng.
Frequency: Quarterly
Editor-in-Chief: Prof. Yucong Duan
Abstracting/ Indexing: EI (INSPEC, IET), Ulrich's Periodicals Directory, Google Scholar, EBSCO, ProQuest, and Electronic Journals Library
E-mail: ijcee@iap.org

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