Estimating the State-of-Charge of Lithium-Ion Battery Using an H-Infinity Observer Based on Electrochemical Impedance Model

被引:72
|
作者
Chen, Ning [1 ]
Zhang, Peng [1 ]
Dai, Jiayang [1 ]
Gui, Weihua [1 ]
机构
[1] Cent South Univ, Sch Automat, Changsha 410083, Peoples R China
来源
IEEE ACCESS | 2020年 / 8卷 / 08期
基金
中国国家自然科学基金;
关键词
Lithium-ion batteries; Butler-Volmer equation; state of charge estimation; electrochemical impedance model; fractional calculus; H infinity observer; EXTENDED KALMAN FILTER; ENERGY; SYSTEM;
D O I
10.1109/ACCESS.2020.2971002
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The lithium-ion batteries in the electric vehicles are nonlinear systems with complex electrochemical dynamics, and estimation of battery state-of-charge (SOC) is affected by factors such as environmental temperature and battery current. Considering the above problems, the accurate estimation of battery SOC has always been a difficult and the critical issue of battery management system (BMS). In this paper, the constant phase element (CPE) is introduced to the traditional time domain circuit model by analyzing the electrochemical impedance spectra of lithium-ion batteries. Accordingly, an equivalent circuit model based on electrochemical impedance is constructed by using fractional order theory, which has specific physical significant, leading to the improved estimation accuracy to represent battery voltage. Moreover, the polarization resistance in the model is replaced by Butler-Volmer (BV) equation, which can solve the problem caused by large current and temperature variation during the actual operation of electric vehicles. Next, based on the model, anH 1 observer is designed for battery SOC estimation, and the proposed SOC observer is tested by real-time experimental data of battery. The efficiency of the proposed model and observer are validated by some simulations and experiment tests.
引用
收藏
页码:26872 / 26884
页数:13
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