A Novel State-of-Charge Estimation Method for Lithium-Ion Battery Pack of Electric Vehicles

被引:0
|
作者
Chen, Zheng [1 ]
Xia, Bing [2 ]
Mi, Chunting Chris [2 ]
机构
[1] Kunming Univ Sci & Technol, Kunming, Peoples R China
[2] Univ Michigan Dearborn, Dearborn, MI USA
关键词
Battery pack; extended Kalman filter (EKF); lithium-ion battery; state of charge (SOC); variance; SLIDING MODE OBSERVER; MANAGEMENT-SYSTEMS; SOC ESTIMATION;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this paper, a novel state-of-charge (SOC) estimation method is proposed for lithium-ion battery packs of electric vehicles. An equivalent circuit model, which comprises an open circuit voltage source and a resistance-capacitance network connected in series, is built for each cell to characterize its dynamic and static performance. Then, the EKF is applied to calculate each cell's SOC. By calculating and screening all the cells' SOC, a group of parameters, which include a weighed SOC value, SOC variance value, maximum and minimum cell SOC, are selected to represent the pack SOC. Experiment results prove that the proposed method can calculate the pack SOC more reasonably, thus ensuring safer operation of the battery pack.
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页数:6
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