动力电池云端管理关键技术研究综述  

Research Progress of Cloud Management for Power Batteries on Electric Vehicles

作　　者：杨世春[1] 周思达 周新岸 李强伟 陈飞 曹耀光[1] YANG Shichun;ZHOU Sida;ZHOU Xinan;LI Qiangwei;CHEN Fei;CAO Yaoguang(School of Transportation Science and Engineering,Beihang University,Beijing 100191)

机构地区：[1]北京航空航天大学交通科学与工程学院,北京100191

出　　处：《机械工程学报》2023年第10期134-151,共18页Journal of Mechanical Engineering

基　　金：广东省重点领域研发计划(2020B0909030002);河北省重点研发计划(21340801D)资助项目。

摘　　要：发展新能源汽车是我国应对国家能源战略、实现碳中和目标的重大战略选择。动力电池是新能源汽车能源系统的核心,电池管理系统实现了动力电池状态估计、一致性管理、热管理、热失控监控等关键功能。动力电池全生命周期性能演变具有微观模糊性、演化复杂性、实际多变性的特点,基于嵌入式系统的电池管理系统受硬件条件限制,存储空间不足,使用简化模型,难以实现精确管理,车云融合的动力电池云端管理是目前电池管理的重要研究方向。围绕动力电池云端管控方法,系统分析电池云端模型构建方法、电池寿命及安全管理策略,并针对先进电子电气架构下的云端管理技术融合进行分析。通过对比分析当前电池管理技术综合优缺点,阐述面向云端管理的可行方案,为动力电池云端管控技术提供理论参考。The development of electric vehicles is the essential strategic choice to deal with carbon neutrality and national energy structure transformation.As the major energy storage system for electric vehicles,power batteries are of crucial importance for vehicles.The battery management system determines the performances of battery state estimation,consistency management,thermal management,thermal runaway monitoring and others.Owing to that the performance evolution of power battery for whole lifespan is micro fuzzy and complex,the current battery management system is limited by conditions,where the stored data is insufficient,and the simplified model suffers from inaccurate management.As the progress of cloud management,the vehicle-cloud integration for power battery management delivers a potential solution for future system.Focusing on the power battery cloud management and control method,systematically analysis is carried out including the battery cloud model construction method,battery life and safety management strategy.Moreover,the cloud management technology is discussed under the advanced electronic and electrical architecture.By comparing and analyzing the comprehensive advantages and disadvantages of current battery management technology,the feasible solution for cloud management is predicted for providing future theoretical reference for power battery cloud management and control technology.

关 键 词：锂离子电池 云端管理 电池模型 寿命管理 安全管理 

分 类 号：U469[机械工程—车辆工程]