State-of-charge Estimation of Lithium-ion Polymer Battery Based on Sliding Mode Observer

摘要：

　　In order to estimate the state-of-charge (SOC) for lithium-ion polymer battery of electric vehicle,an improved Thevenin battery model is achieved,and the model parameters are identified online by adopting the extended Kalman filter (EKF) algorithm.By introducing Luenberger-type feedback terms,a sliding mode observer for estimating SOC is proposed,and a sufficient condition is derived to guarantee the convergence of the observer.Finally,the proposed method is verified and evaluated by experiments.Additionally,it is compared with the EKF method.The results show that,SOC estimation with the sliding mode observer has higher accuracy than EKF method,and gives the maximum error of 1.3059% with variance of 0.00002.This method is proved to have good convergence,and can efficiently solve the problem of inaccurate initial-value estimation.

关键词： State-of-charge Sliding mode observer Lithium-ion polymer battery Electric vehicle

作者: MAO Jun ZHAO Linhui LIN Yurong

作者单位: Department of Control Science and Engineering,Harbin Institute of Technology,Harbin 150001,China

会议类型: 国际会议

会议名称: The 33th Chinese Control Conference第33届中国控制会议

会议地点: 南京

会议语种:英文

页码: 269-273

在线出版日期: 2014-07-28（万方平台首次上网日期，不代表论文的发表时间）