锂离子电池健康状态评估方法研究新进展  

New Research Progress of the State of Health Estimation Methods for Lithium-Ion Batteries

作　　者：张欣怡 伍嘉浩 张璐平 戴厚德 柏文琦 林海军[1] 张甫 杨宇祥 ZHANG Xinyi;WU Jiahao;ZHANG Luping;DAI Houde;BAI Wenqi;LIN Haijun;ZHANG Fu;YANG Yuxiang(College of Engineering and Design,Hunan Normal University,Changsha 410081,China;Quanzhou Equipment Manufacturing Research Center,Haixi Institute of Chinese Academy of Sciences,Quanzhou 362200,Fujian,China;Hunan Institute of Metrology and Testing,Changsha 410018,China)

机构地区：[1]湖南师范大学工程设计学院,长沙410081 [2]中国科学院海西研究院泉州装备制造研究中心,福建泉州362200 [3]湖南省计量检测研究院,长沙410018

出　　处：《河南科学》2024年第12期1717-1740,共24页Henan Science

基　　金：国家自然科学基金(32171366,32201134);湖南省自然科学基金(2022JJ90035,2024JJ5271)。

摘　　要：锂离子电池(LIB)健康状态(SOH)的评估对于电池管理效率和安全性至关重要.详细回顾了锂电池SOH估计方法的最新研究进展,介绍了基于容量、内阻、电量、循环次数和功率的SOH五个主要定义,系统地梳理了实验测量方法、模型估计方法和数据驱动方法三类主要的SOH估计方法,并深入分析了每种方法的优点和局限性.综合分析表明,当前的SOH估计方法在精度和实用性方面仍存在显著挑战,需要在以下几个方面进行深入研究:开发自适应的SOH估计方法、提升数据驱动方法的精度和鲁棒性、发展多物理场耦合模型以更准确地描述电池行为.这些研究有望在实现高精度SOH估计的同时,扩大其在更多测量场合的适用性.研究结果有助于对SOH估计方法的前沿理论分析和实际应用的理解,并探索LIBsSOH估计的进一步发展方向.Assessment of state of health(SOH)for lithium-ion batteries(LIBs)is crucial for the efficiency and safety of battery management.This review summarizes the latest research progress on SOH estimation methods for LIBs,introduces five main definitions of SOH based on capacity,internal resistance,energy,cycle count,and power respectively,and provides a detailed overview of three major SOH estimation methods:experimental measurement methods,model-based estimation methods,and data-driven methods.The advantages and limitations of each method are analyzed in depth.The comprehensive analysis shows that there are still significant challenges in the accuracy and practicability of the current SOH estimation methods,and in-depth researches are needed in the following aspects:developing adaptive SOH estimation methods,improving the accuracy and robustness of datadriven methods,and developing multi-physics coupling models to describe battery behavior more accurately,which are expected to enhance the accuracy of SOH estimation while expanding its applicability to more measurement scenarios.This review will promote understanding of advanced theoretical analysis and practical applications of battery SOH estimation methods,and explore further development directions of battery SOH estimation.

关 键 词：锂离子电池 健康状态估计 实验检测法 模型估计法 数据驱动法 

分 类 号：TM912[电气工程—电力电子与电力传动]