An improved adaptive weights correction-particle swarm optimization-unscented particle filter method for high-precision online state of charge estimation of lithium-ion batteries

In the battery management system (BMS), the state of charge (SOC) of lithium-ion batteries is an indispensable part, and the accuracy of SOC estimation has attracted wide attention. Accurate SOC estimation can improve the efficiency of battery use while ensuring battery safety and improving battery...

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Veröffentlicht in:	Ionics 2024, Vol.30 (1), p.311-334
Hauptverfasser:	Li, Zehao, Wang, Shunli, Yu, Chunmei, Qi, Chuangshi, Shen, Xianfeng, Fernandez, Carlos
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algorithms Chemistry Chemistry and Materials Science Condensed Matter Physics Electric charge Electrochemistry Energy Storage Errors Identification methods Kalman filters Least squares Lithium Lithium batteries Lithium-ion batteries Optical and Electronic Materials Parameter identification Particle swarm optimization Product safety Rechargeable batteries Renewable and Green Energy State of charge
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