Influence of different open circuit voltage tests on state of charge online estimation for lithium-ion batteries

被引:366
|
作者
Zheng, Fangdan [1 ,2 ]
Xing, Yinjiao [2 ]
Jiang, Jiuchun [1 ]
Sun, Bingxiang [1 ]
Kim, Jonghoon [3 ]
Pecht, Michael [2 ]
机构
[1] Beijing Jiaotong Univ, Collaborat Innovat Ctr Elect Vehicles Beijing, Natl Act Distribut Network Technol Res Ctr NANTEC, Beijing 100044, Peoples R China
[2] Univ Maryland, Ctr Adv Life Cycle Engn CALCE, College Pk, MD 20742 USA
[3] Chungnam Natl Univ, Energy Storage Convers Lab ESCL, Daejeon 34134, South Korea
关键词
Lithium-ion batteries; Battery management system; State of charge estimation; Open circuit voltage; Temperature dependency; MODEL-BASED STATE; UNSCENTED KALMAN FILTER; OF-CHARGE; MANAGEMENT-SYSTEMS; JOINT ESTIMATION; PARTICLE-FILTER; SOC ESTIMATION; HEALTH; PACKS; CELL;
D O I
10.1016/j.apenergy.2016.09.010
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Battery state of charge (SOC) estimation is a crucial function of battery management systems (BMSs), since accurate estimated SOC is critical to ensure the safety and reliability of electric vehicles. A widely used technique for SOC estimation is based on online inference of battery open circuit voltage (OCV). Low-current OCV and incremental OCV tests are two common methods to observe the OCV-SOC relationship, which is an important element of the SOC estimation technique. In this paper, two OCV tests are run at three different temperatures and based on which, two SOC estimators are compared and evaluated in terms of tracking accuracy, convergence time, and robustness for online estimating battery SOC. The temperature dependency of the OCV-SOC relationship is investigated and its influence on SOC estimation results is discussed. In addition, four dynamic tests are presented, one for estimator parameter identification and the other three for estimator performance evaluation. The comparison results show that estimator 2 (based on the incremental OCV test) has higher tracking accuracy and is more robust against varied loading conditions and different initial values of SOC than estimator 1 (based on the low current OCV test) with regard to ambient temperature. Therefore, the incremental OCV test is recommended for predetermining the OCV-SOCs for battery SOC online estimation in BMSs. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:513 / 525
页数:13
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