Physics-based battery SOC estimation methods:Recent advances and future perspectives

作     者：Longxing Wu Zhiqiang Lyu Zebo Huang Chao Zhang Changyin Wei Longxing Wu;Zhiqiang Lyu;Zebo Huang;Chao Zhang;Changyin Wei

作者机构：College of Mechanical EngineeringAnhui Science and Technology UniversityChuzhou 233100AnhuiChina Hubei Key Laboratory of Power System Design and Test for Electrical VehicleHubei University of Arts and ScienceXiangyang 441053HubeiChina School of InternetAnhui UniversityHefei 230039AnhuiChina School of Mechanical and Electrical EngineeringGuilin University of Electronic TechnologyGuilin 541004GuangxiChina 

出 版 物：《Journal of Energy Chemistry》 (能源化学（英文版）)

年 卷 期：2024年第89卷第2期

页      面：27-40,I0003页

核心收录：

学科分类：0820[工学-石油与天然气工程] 0808[工学-电气工程] 08[工学] 0817[工学-化学工程与技术] 0807[工学-动力工程及工程热物理] 0703[理学-化学] 

基　　金：supported by the Open Project of Hubei Key Laboratory of Power System Design and Test for Electrical Vehicle(No.ZDSYS202304) the National Natural Science Foundation of China(No.62303007) the Anhui Provincial Natural Science Foundation(No.2308085ME142)。 

主　　题：Lithium-ion batteries State of charge Electrochemical model Battery management system 

摘      要：The reliable prediction of state of charge(SOC)is one of the vital functions of advanced battery management system(BMS),which has great significance towards safe operation of electric vehicles.By far,the empirical model-based and data-driven-based SOC estimation methods of lithium-ion batteries have been comprehensively discussed and reviewed in various literatures.However,few reviews involving SOC estimation focused on electrochemical mechanism,which gives physical explanations to SOC and becomes most attractive candidate for advanced BMS.For this reason,this paper comprehensively surveys on physics-based SOC algorithms applied in advanced BMS.First,the research progresses of physical SOC estimation methods for lithium-ion batteries are thoroughly discussed and corresponding evaluation criteria are carefully elaborated.Second,future perspectives of the current researches on physics-based battery SOC estimation are presented.The insights stated in this paper are expected to catalyze the development and application of the physics-based advanced BMS algorithms.