Fractional Modeling and SOC Estimation of Lithium-ion Battery

被引：60
|
作者：
Ma, Yan [1 ,2 ]
Zhou, Xiuwen [3 ]
Li, Bingsi [3 ]
Chen, Hong [1 ,2 ]
机构：
[1] Jilin Univ, State Key Lab Automot Simulat & Control, Changchun 130012, Jilin, Peoples R China
[2] Jilin Univ, Dept Control Sci & Engn, Campus Nanling, Changchun 130025, Jilin, Peoples R China
[3] Jilin Univ, Dept Control Sci & Engn, Changchun 130012, Jilin, Peoples R China
来源：
IEEE-CAA JOURNAL OF AUTOMATICA SINICA | 2016年 / 3卷 / 03期
基金：
中国国家自然科学基金;
关键词：
Lithium-ion battery; fractional order model; electrochemical impedance spectra; fractional Kalman filter;
D O I：
10.1109/JAS.2016.7508803
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper proposes a state of charge (SOC) estimator of Lithium-ion battery based on a fractional order impedance spectra model. Firstly, a battery fractional order impedance model is derived on the grounds of the characteristics of Warburg element and constant phase element (CPE) over a wide range of frequency domain. Secondly, a frequency fitting method and parameter identification algorithm based on output error are presented to identify parameters of the fractional order model of Lithium-ion battery. Finally, the fractional order Kalman filter approach is introduced to estimate the SOC of the lithium-ion battery based on the fractional order model. The simulation results show that the fractional-order model can ensure an acceptable accuracy of the SOC estimation, and the error of estimation reaches maximally up to 0.5% SOC.
引用
收藏
页码：281 / 287
页数：7
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