Estimation of Lithium-ion Battery State of Charge

摘要：

Li-ion batteries have high energy densities and long lifetimes,which are increasingly used in electric vehicles (EV) and hybrid electric vehicles (HEV)now.The state of charge (SOC)is the most important parameter to evaluate the battery and is one of the key factors improving the performance of EV and HEV.With respect to the cells voltage,battery voltage and battery current,the battery model in terms of its circuit representation and mathematical dynamic equations are described.The method estimating the state of charge (SOC)of li-ion batteries based on the extended Kalman filter (EKF)in colored noise is proposed, which predict the SOC of Li-ion battery considers in the discharge working state of battery.The results show that the novel method can increase the accuracy of SOC estimation,eliminate the influence of disturbance.

作者: ZHANG Di MA Yan BAI Qing-Wen

作者单位: State Key Laboratory of Automobile Dynamic Simulation,Jilin University,Changchun 130025,P.R.China Department of Control Science and Engineering,Jilin University,Changchun 130025,P.R.China

会议类型: 国际会议

会议名称: The 30th Chinese Control Conference(第三十届中国控制会议)

会议地点: 烟台

会议语种:英文

页码: 1-5

在线出版日期: 2011-07-01（万方平台首次上网日期，不代表论文的发表时间）