Estimation of state of charge for lithium-ion batteries - A Review

被引:32
|
作者
Attanayaka, A. M. S. M. H. S. [1 ]
Karunadasa, J. P. [1 ]
Hemapala, K. T. M. U. [1 ]
机构
[1] Univ Moratuwa, Dept Elect Engn, Moratuwa, Sri Lanka
关键词
SOC; lithium-ion battery; Equivalent circuit models; Battery energy storage systems; Microgrids; Dynamic modelling; Battery management system; OPEN-CIRCUIT-VOLTAGE; UNSCENTED KALMAN FILTER; OF-THE-ART; AVAILABLE CAPACITY; MODEL; SOC; ALGORITHM; SYSTEM; HEALTH; PACKS;
D O I
10.3934/energy.2019.2.186
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
The State Of Charge (SOC) is the most important index in a Battery Management System (BMS) to regulate charge/discharge decisions and to ensure the battery's safety, efficiency, and longevity. There are many methods to estimate SOC of a battery and the model based-methods exhibit higher accuracy compared to other methods. Among them the Equivalent Circuit Model (ECM)-based methods are employed in power system applications due to their flexible nature. These models consist of a voltage source to represent Open Circuit Voltage (OCV) which depends on the SOC of the battery. The accuracy of the SOC estimation highly depends on the adopted Equivalent Circuit Model. To accomplish accurate battery model, battery SOC should be precisely estimated. This paper investigates various types of SOC estimation methods for lithium-ion batteries in-depth in view point of Battery Energy Storage Systems (BESS). Different SOC estimation methods are compared and evaluated to assess their suitability under both static response and dynamic conditions.
引用
收藏
页码:186 / 210
页数:25
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