锂(药物)
电池(电)
锂离子电池
计算机科学
芯片上的系统
估计
可靠性工程
汽车工程
工程类
电气工程
嵌入式系统
系统工程
功率(物理)
物理
内分泌学
医学
量子力学
作者
Jinhao Meng,Mattia Ricco,Guangzhao Luo,Maciej Swierczynski,Daniel-Ioan Stroe,Ana-Irina Stroe,Remus Teodorescu
出处
期刊:IEEE Transactions on Industry Applications
[Institute of Electrical and Electronics Engineers]
日期:2018-03-01
卷期号:54 (2): 1583-1591
被引量:135
标识
DOI:10.1109/tia.2017.2775179
摘要
With the popularity of electrical vehicles, the lithium-ion battery industry is developing rapidly. To ensure battery safe usage and to reduce its average lifecycle cost, accurate state of charge (SOC) tracking algorithms for real-time implementation are required for different applications. Many SOC estimation methods have been proposed in the literature. However, only a few of them consider the real-time applicability. This paper classifies the recently proposed online SOC estimation methods into five categories. Their principal features are illustrated, and the main pros and cons are provided. The SOC estimation methods are compared and discussed in terms of accuracy, robustness, and computation burden. Afterward, as the most popular type of model-based SOC estimation algorithms, seven nonlinear filters existing in literature are compared in terms of their accuracy and execution time as a reference for online implementation.
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