Advanced Wireless Battery Management System for Electric Vehicles: Design, Application and Perspective

被引:0
作者
Yang, Shichun [1 ]
Zhou, Xinan [1 ]
Zhou, Sida [1 ]
Gao, Zichao [1 ]
Cui, Haigang [1 ]
Hua, Yang [2 ]
Li, Qiangwei [1 ]
Chen, Fei [1 ]
机构
[1] Beihang Univ, Sch Transportat Sci & Engn, Beijing 102200, Peoples R China
[2] Xinxing Cathay Int Intelligent Equipment Technol R, Beijing 100020, Peoples R China
关键词
Battery management system; Electric vehicle; Wireless connection; State of Charge;
D O I
10.1007/s42154-024-00317-9
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Conventional battery management system suffers from the heavy copper harness for connection and transformation within the battery pack, and has difficulties on achieving light-weight and safety. In this article, an advanced wireless battery management system is proposed for vehicular application, and detailed systematical designs for hardware and software are presented from industrialization. The high ability of computing for the main controlling chip and low-cost wireless connection chip for hardware are highlighted for achieving long-time operation on the battery pack. The layered software architecture is developed for assembling application software, where further algorithms including state of health estimation or power controlling can be easily deployed on boards without revision of current software. Moreover, the main online state of charge estimation algorithm is introduced. The results confirm that the designed master-slave wBMS boards can meet the vehicular requirements, and the maximum error of state estimation can be limited within 3%. The proposed wireless battery management system is confirmed for online application for electric vehicles and energy storage systems, and the future promotion is discussed based on other energy storage systems such as multiple packs on commercial vehicles or power stations.
引用
收藏
页码:421 / 442
页数:22
相关论文
共 19 条
[1]   Design and implementation of IoT based intelligent energy management controller for PV/wind/battery system with cost minimization [J].
Andal, C. Kothai ;
Jayapal, R. .
RENEWABLE ENERGY FOCUS, 2022, 43 :255-262
[2]   Toward sustainable batteries [J].
Asl, Hooman Yaghoobnejad ;
Manthiram, Arumugam .
NATURE SUSTAINABILITY, 2021, 4 (05) :379-380
[3]  
Behera S, 2022, CLEAN ENERGY SYST, V3, DOI [10.1016/j.cles.2022.100029, 10.1016/j.cles.2022.100029]
[4]  
Chaitanya K. V. V. K., 2023, Materials Today: Proceedings, P199, DOI [10.1016/j.matpr.2022.07.044, 10.1016/j.matpr.2022.07.044]
[5]   Safety modelling and testing of lithium-ion batteries in electrified vehicles [J].
Deng, Jie ;
Bae, Chulheung ;
Marcicki, James ;
Masias, Alvaro ;
Miller, Theodore .
NATURE ENERGY, 2018, 3 (04) :261-266
[6]   Post-lithium-ion battery cell production and its compatibility with lithium-ion cell production infrastructure [J].
Duffner, Fabian ;
Kronemeyer, Niklas ;
Tuebke, Jens ;
Leker, Jens ;
Winter, Martin ;
Schmuch, Richard .
NATURE ENERGY, 2021, 6 (02) :123-134
[7]   A review of lithium-ion battery state of charge estimation and management system in electric vehicle applications: Challenges and recommendations [J].
Hannan, M. A. ;
Lipu, M. S. H. ;
Hussain, A. ;
Mohamed, A. .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2017, 78 :834-854
[8]   Sensing as the key to battery lifetime and sustainability [J].
Huang, Jiaqiang ;
Boles, Steven T. ;
Tarascon, Jean-Marie .
NATURE SUSTAINABILITY, 2022, 5 (03) :194-204
[9]   IoT battery management system in electric vehicle based on LR parameter estimation and ORMeshNet gateway topology [J].
Kumar, P. Santhosh ;
Kamath, Rajesh N. ;
Boyapati, Prasanthi ;
Josephson, P. Joel ;
Natrayan, L. ;
Shadrach, Finney Daniel .
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS, 2022, 53
[10]   Validation of a balancing model based on master-slave battery management system architecture [J].
Lee, Yu-Lin ;
Lin, Chang-Hua ;
Farooqui, Shoeb Azam ;
Liu, Hwa-Dong ;
Ahmad, Javed .
ELECTRIC POWER SYSTEMS RESEARCH, 2023, 214