发电技术2025，Vol.46Issue(5)：857-871,15.DOI:10.12096/j.2096-4528.pgt.24112
锂离子电池建模研究现状与展望
Research Status and Prospect of Lithium-Ion Battery Modelling
摘要
Abstract
[Objectives]As one of the core technologies of battery management system(BMS),the research on lithium-ion battery model plays a vital role in optimizing battery performance and extending battery life.In order to facilitate the selection of appropriate models in different scenarios,different types of modeling methods for lithium-ion batteries are systematically summarized and compared.[Methods]Firstly,the working principle of lithium-ion battery is explained,and the importance of accurate modeling is emphasized.Then,the current widely used lithium-ion battery models is comprehensively summarized according to different application scenarios,and a series of novel machine learning battery models are analyzed and discussed.Finally,the challenges of lithium-ion battery modelling techniques and future research trends are discussed.[Conclusions]It is found that traditional battery models all have certain limitations,while data-driven models often have more unique advantages in dealing with complex systems.Future research needs to find a balance between model complexity and usability.The research results provide a reference for application and future development of lithium-ion batteries in energy storage systems.关键词
锂离子电池/储能/电动汽车/电池管理系统(BMS)/电池建模/等效电路模型(ECM)/电化学模型(EM)/机器学习模型Key words
lithium-ion batterie/energy storage/electric vehicle/battery management system(BMS)/battery modeling/equivalent circuit model(ECM)/electrochemical model(EM)/machine learning model分类
能源科技引用本文复制引用
李建林,彭禹宸,王茜,姜晓霞,王垒..锂离子电池建模研究现状与展望[J].发电技术,2025,46(5):857-871,15.基金项目
国家自然科学基金面上项目(52277211) （52277211）
北方工业大学科研启动基金项目(110051360024XN150-12) （110051360024XN150-12）
北京市科学技术协会"千人进千企"助推计划. Project Supported by National Natural Science Foundation of China(52277211) （52277211）
Research Start-up Fund Project of North China University of Technology(110051360024XN150-12) （110051360024XN150-12）
Beijing Association for Science and Technology"Thousands into Thousands of Enterprises"Boost Program. （）
