摘要
为解决电动汽车现有BMS系统对锂离子动力电池SOH评估与预测难以满足多种工况条件、各种类动力电池,且难同时兼顾预测精度与反馈速度等应用缺陷,提出了一套全新的EVs电池健康管理系统设计思路,采用了结合云计算与存储平台,融入BMS评估体系等关键方法;通过BMS增加5G通讯模块,利用5G/4G信号实时上传电芯数据,经过云平台搭载的多种SOH评估模型与算法,多线程在线计算得到预测结果,及时反馈至用户端和BMS,实现电池健康管理;该体系的设计案例展示出较好的未来应用价值,为电动汽车电池管理设计提供了新方向。
To solve the electric vehicles battery management system(BMS)for lithium ion power battery state of health(SOH)assessment and prediction,it is difficult to meet a variety of working conditions,various types of power battery,and difficult to balance between accuracy and feedback speed applications such as defects,a new set of electric vehicle(EV)battery health management system design idea is proposed,the combination of cloud computing and storage platform is adopted to integrate the BMS evaluation system and other key methods;5G communication module is added through the BMS,5G/4G signal is used to upload the cell data in real time,through a variety of SOH evaluation models and algorithms equipped with cloud platform,the multi-thread online calculation is carried out to get the prediction results,timely feedback to the user and BMS,which achieves the battery health management.The design case of this system shows a good future application value,and it provides a new direction for EV battery management design.
作者
朱鹏霏
李丽
常泽宇
余佩雯
郁亚娟
ZHU Pengfei;LI Li;CHANG Zeyu;YU Peiwen;YU Yajuan(School of Mechatronical Engineering,Beijing Institute of Technology,Beijing 100081,China;School of Material Science&Engineering,Beijing Institute of Technology,Beijing 100081,China;Beijing Institute of Technology Chongqing Innovation Center,Chongqing 401120,China)
出处
《计算机测量与控制》
2023年第9期190-198,252,共10页
Computer Measurement &Control
基金
国家自然科学基金(52074037)
国家重点研发计划(2021YFB2401800)
国家重点研发计划(2022YFB3305400)
内蒙古自治区科技计划(2020ZD0018)。
