An Equivalent Siding Mode Observer for Electric Vehicle Lithium Battery SOC Estimation

被引:3
作者
Nan, Wenzhi [1 ]
Pang, Hui [1 ]
Chen, Kaiqiang [1 ]
Wang, Fengbin [1 ]
Lin, Guangyang [1 ]
机构
[1] Xian Univ Technol, Xian 710048, Peoples R China
关键词
electric vehicles; SOC estimation; equivalent sliding mode observer; Walcott-Zak structure; STATE-OF-CHARGE; KALMAN FILTER; ION BATTERY;
D O I
10.1149/1945-7111/ad5973
中图分类号
O646 [电化学、电解、磁化学];
学科分类号
081704 ;
摘要
Accurate state of charge (SOC) estimation for lithium-ion batteries is essential to guarantee long-term stable operation of electric vehicles. In this study, an equivalent sliding mode observer (ESMO) is proposed to estimate the battery SOC. First, a sliding mode observer (SMO) was designed with Walcott-Zak structure to increase the sliding region. Next, a controlled equivalent function was used to replace sign function in the SMO, which can lessen chattering issue and increase system robustness. Furthermore, this study performs online parameter identification of a second-order resistance capacitor equivalent circuit model using the forgetting factor recursive least squares approach. Lastly, the experiments under dynamic current conditions were conducted to verify the proposed ESMO. The results show that the mean square error of the ESMO is decreased to 0.5%, which implies that the proposed ESMO can estimate the SOC with higher accuracy compared to the traditional SMO.
引用
收藏
页数:10
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