An SOC estimation approach based on adaptive sliding mode observer and fractional order equivalent circuit model for lithium-ion batteries

被引:102
作者
Zhong, Fuli [1 ]
Li, Hui [1 ]
Zhong, Shouming [2 ]
Zhong, Qishui [1 ]
Yin, Chun [3 ]
机构
[1] Univ Elect Sci & Technol China, Sch Aeronaut & Astronaut, Chengdu 611731, Peoples R China
[2] Univ Elect Sci & Technol China, Sch Math Sci, Chengdu 611731, Peoples R China
[3] Univ Elect Sci & Technol China, Sch Automat Engn, Chengdu 611731, Sichuan, Peoples R China
基金
中国博士后科学基金;
关键词
SOC estimation; Adaptive sliding mode observer; Fractional order equivalent circuit model; Lithium-ion battery; STATE-OF-CHARGE; MANAGEMENT-SYSTEMS; PART; CONTROLLER; DESIGN; PACKS; SIMULATION; HEALTH;
D O I
10.1016/j.cnsns.2014.12.015
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
A state of charge (SOC) estimation approach based on an adaptive sliding mode observer (SMO) and a fractional order equivalent circuit model (FOECM) for lithium-ion batteries is proposed in this paper. In order to design the adaptive sliding mode observer (SMO) for the SOC estimation, the state equations based on a FOECM of battery are derived. A new self-adjusting strategy for the observer gains is presented to adjust the observer in the estimating process, which helps to reduce chattering and convergence time. Furthermore, a continuous and smooth function called hyperbolic tangent function is applied to balance the chattering affection and the disturbance. At last, a battery simulation model is established to test the SOC estimation performance of the designed SMOs, and the results show the proposed approach is feasible and effective. (C) 2015 Elsevier B.V. All rights reserved.
引用
收藏
页码:127 / 144
页数:18
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