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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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Chinese Journal Full-text Database 9 Hits
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2 Sun Zhaohui;Cheng Xiaoxiao;Chen Dongdong;Chen Guozhu;College of Electrical Engineering Zhejiang University;Institut de Recherche en Energie Electrique de Nantes Atlantique;Institute of Electric Drives and Control System Shanghai Maritime University;;Hybrid Equivalent Circuit Model of Lithium Ion Battery Considering Nonlinear Capacity Effects[J];电工技术学报;2016-15
3 Liu Xintian;He Yao;Zeng Guojian;Zheng Xinxin;New Energy Automobile Engineering Research Institute Hefei University of Technology;;State-of-Power Estimation for Li-ion Battery Considering the Effect of Temperature[J];电工技术学报;2016-13
4 Sun Bingxiang;Jiang Jiuchun;Han Zhiqiang;Ma Zeyu;Zheng Fangdan;National Active Distribution Network Technology Research Center Collaborative Innovation Center of Electric Vehicles in Beijing Beijing Jiaotong University;Beijing Electric Vehicle Co.Ltd;;The Lithium-Ion Battery Low Temperature Stress Based on Different Degradation Paths[J];电工技术学报;2016-10
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