State of Charge estimation via extended Kalman filter designed for electrochemical equations

被引:7
作者
Afshar, Sepideh [1 ]
Morris, Kirsten [2 ]
Khajepour, Amir [3 ]
机构
[1] Harvard Med Sch, Massachusetts Gen Hosp, Wellman Ctr Photomed, Boston, MA 02114 USA
[2] Univ Waterloo, Dept Appl Math, Waterloo, ON N2L 3G1, Canada
[3] Univ Waterloo, Dept Mech & Mechatron Engn, Waterloo, ON N2L 3G1, Canada
关键词
Extended Kalman filter; distributed parameter systems; state of charge estimation; BATTERY MANAGEMENT-SYSTEMS; EQUIVALENT-CIRCUIT MODELS; OBSERVER; PACKS;
D O I
10.1016/j.ifacol.2017.08.269
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Lithium ion batteries are used to store energy in electric vehicles. Physical models based on electro-chemistry are partial differential equations coupled to algebraic equations. The state of the battery, and most importantly, the state of charge (SOC) needs to be estimated using limited measurements. In this paper, an extended Kalman filter (EKF) is developed using the electro-chemical model. Some simplifications to the full electro-chemical model are made to facilitate the estimation. The performance of the observer is demonstrated through comparison of simulation results with experimental data. (C) 2017, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
引用
收藏
页码:2152 / 2157
页数:6
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