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http://dx.doi.org/10.6113/TKPE.2012.17.3.222

A SOC Estimation using Kalman Filter for Lithium-Polymer Battery  

Jang, Ki-Wook (LG Chemistry, Battery R&D, Advanced BESS PJT)
Chung, Gyo-Bum (Dept. of Electronic & Electrical Eng., Hongik University)
Publication Information
The Transactions of the Korean Institute of Power Electronics / v.17, no.3, 2012 , pp. 222-229 More about this Journal
Abstract
The SOC estimation method based on Kalman Filter(KF) requires the accurate battery model to express the electrical characteristics of the battery. However, the performance of KF SOC estimator can hardly be improved because of the nonlinear characteristic of the battery. This paper proposes the new KF SOC estimator of Lithium-Polymer Battery(LiPB), which considers the variation of parameters based on the hysteresis effect, the magnitude of SOC, the charging/discharging mode and the on/off load conditions. The proposed SOC estimation method is verified with the PSIM simulation combined the experimental data of the LiPB.
Keywords
lithium-polymer battery; SOC; hysteresis; modeling error; kalman filter; estimation;
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Times Cited By KSCI : 1  (Citation Analysis)
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