A brief review on key technologies in the battery management system of electric vehicles

被引:0
|
作者
Kailong Liu
Kang Li
Qiao Peng
Cheng Zhang
机构
[1] Queen’s University Belfast,School of Electronics, Electrical Engineering and Computer Science
[2] Nanjing University of Information Science and Technology,School of Physics and Optoelectronic Engineering
[3] University of Warwick,IDL, Warwick Manufacturing Group
来源
Frontiers of Mechanical Engineering | 2019年 / 14卷
关键词
battery management system; battery modelling; battery state estimation; battery charging;
D O I
暂无
中图分类号
学科分类号
摘要
Batteries have been widely applied in many high-power applications, such as electric vehicles (EVs) and hybrid electric vehicles, where a suitable battery management system (BMS) is vital in ensuring safe and reliable operation of batteries. This paper aims to give a brief review on several key technologies of BMS, including battery modelling, state estimation and battery charging. First, popular battery types used in EVs are surveyed, followed by the introduction of key technologies used in BMS. Various battery models, including the electric model, thermal model and coupled electro-thermal model are reviewed. Then, battery state estimations for the state of charge, state of health and internal temperature are comprehensively surveyed. Finally, several key and traditional battery charging approaches with associated optimization methods are discussed.
引用
收藏
页码:47 / 64
页数:17
相关论文
共 50 条
  • [41] Electric vehicles: Battery technologies, charging standards, AI communications, challenges, and future directions
    Amer, Mohammed
    Masri, Jafar
    Dababat, Alya'
    Sajjad, Uzair
    Hamid, Khalid
    ENERGY CONVERSION AND MANAGEMENT-X, 2024, 24
  • [42] Battery Life Extending Charging Strategy for Plug-in Hybrid Electric Vehicles and Battery Electric Vehicles
    Tang, L.
    Rizzoni, G.
    Cordoba-Arenas, A.
    IFAC PAPERSONLINE, 2016, 49 (11): : 70 - 76
  • [43] Charging Strategy for Battery Electric Vehicles with a Battery Modular Multilevel Management (BM3) Converter System using a PR controller
    Buberger, Johannes
    Kersten, Anton
    Kuder, Manuel
    Singer, Arthur
    Mashayekh, Ali
    Estaller, Julian
    Thiringer, Torbjoern
    Eckerle, Richard
    Weyh, Thomas
    2021 23RD EUROPEAN CONFERENCE ON POWER ELECTRONICS AND APPLICATIONS (EPE'21 ECCE EUROPE), 2021,
  • [44] Research on Estimation of Battery State of Electric Vehicle Battery Management System
    Si, Fuyuan
    Li, Zhenglin
    Long, Xue
    Jiang, Fan
    Hua, Wenqiang
    PROCEEDINGS OF 2020 IEEE 5TH INFORMATION TECHNOLOGY AND MECHATRONICS ENGINEERING CONFERENCE (ITOEC 2020), 2020, : 465 - 469
  • [45] Employment of Artificial Intelligence (AI) Techniques in Battery Management System (BMS) for Electric Vehicles (EV): Issues and Challenges
    Badran, Marwan Atef
    Toha, Siti Fauziah
    PERTANIKA JOURNAL OF SCIENCE AND TECHNOLOGY, 2024, 32 (02): : 859 - 881
  • [46] Real-time implementation of battery management system designed with improved passive balancing technique for electric vehicles
    Inan, Remzi
    Guckiran, Muhammed
    Altinisik, Yunus Emre
    Tek, Salih Enes
    Potuk, Mesut
    JOURNAL OF THE FACULTY OF ENGINEERING AND ARCHITECTURE OF GAZI UNIVERSITY, 2023, 38 (03): : 1757 - 1768
  • [47] Comparison study on the battery models used for the energy management of batteries in electric vehicles
    He, Hongwen
    Xiong, Rui
    Guo, Hongqiang
    Li, Shuchun
    ENERGY CONVERSION AND MANAGEMENT, 2012, 64 : 113 - 121
  • [48] A cost effective accumulator management system for electric vehicles
    Suchitra, D.
    Rajarajeswari, R.
    Bhati, Dhruv Singh
    INTERNATIONAL JOURNAL OF EMERGING ELECTRIC POWER SYSTEMS, 2020, 21 (03):
  • [49] Design of Distributed Electric Vehicle Battery Management System
    Wang Ye-qin
    Liu Yi-xing
    MECHANICAL ENGINEERING, MATERIALS SCIENCE AND CIVIL ENGINEERING, 2013, 274 : 475 - 478
  • [50] Design and analysis of battery management system in electric vehicle
    Parameswari M.
    Usha S.
    EAI Endorsed Transactions on Energy Web, 2024, 11 : 1 - 10