荷电状态
锂(药物)
离子
电池(电)
电荷(物理)
锂离子电池
国家(计算机科学)
材料科学
工程物理
计算机科学
物理
热力学
心理学
算法
功率(物理)
量子力学
精神科
作者
Xinyue Liu,Yang Gao,Kyamra Marma,Miao Yu,Lin Liu
出处
期刊:Energies
[Multidisciplinary Digital Publishing Institute]
日期:2024-03-29
卷期号:17 (7): 1643-1643
被引量:10
摘要
This study explores the challenges and advances in the estimation of the state of charge (SOC) of lithium-ion batteries (LIBs), which are crucial to optimizing their performance and lifespan. This review focuses on four main techniques of SOC estimation: experimental measurement, modeling approach, data-driven approach, and joint estimation approach, highlighting the limitations and potential inaccuracies of each method. This study suggests a combined approach, incorporating correction parameters and closed-loop feedback, to improve measurement accuracy. It introduces a multi-physics model that considers temperature, charging rate, and aging effects and proposes the integration of models and algorithms for optimal estimation of SOC. This research emphasizes the importance of considering temperature and aging factors in data-driven approaches. It suggests that the fusion of different methods could lead to more accurate SOC predictions, an important area for future research.
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