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《Transactions of China Electrotechnical Society》 2015-15
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Modelingand State of Charge Robust Estimation for Lithium-ion Batteries

Chen Xikun;Sun Dong;Chen Xiaohu;School of Mechatronics Engineering and Automation,Shanghai University;Zhengzhou University of Light Industry;  
In lithium-ion battery power management system,the dynamic modeling and the estimation of state of charge( SOC) are the key techniques. The battery working states are affected by external environment factors and load changes. So the variable forgetting factorleast squares method is used to identify the model parameters based on the second-order RC equivalent circuit model. For the uncertainty noise problem in actual applications,the SOC robust estimation method is proposed based on the discrete-time H-infinity filter. The experiments are carried to compare the suggested method with the commonly used extended Kalman filter. The results show that the performance of the second-order RC model can be improved by the variable forgetting factor least squares method; the robust estimation method can be used to compute battery SOC accurately with 3%error,and the proposed algorithm has better robustness than the extended Kalman filter.
【Fund】: 国家高技术研究发展(863)计划(2011AA11A247);; 上海市经信委重大技术装备项目(ZB-ZBYZ-02-14-0825)资助
【CateGory Index】: TM912
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