Adaptive Passive Cell Balancing of Battery Management System for an Electric Vehicle Application

被引:0
|
作者
Arthanareeswaran, Jeyashree [1 ]
Loganathan, Ashok Kumar [2 ]
机构
[1] PSG Inst Technol & Appl Res, Dept Elect & Elect Engn, Coimbatore, Tamil Nadu, India
[2] PSG Coll Technol, Dept Elect & Elect Engn, Coimbatore, Tamil Nadu, India
关键词
Battery management system; electric vehicle; adaptive passive cell balancing; capacity fade;
D O I
10.1142/S021812662350278X
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
The battery pack powers the electric motor in a battery-operated electric vehicle. To achieve the required power, the cells are connected in series and parallel combinations to form a battery pack. The battery pack is monitored using the battery management system. During the charging and discharging process, imbalance occurs in the cells due to intrinsic and extrinsic properties of the battery chemistry. This cell imbalance induces problems, such as an under-discharge, over-charge, increase in charging time and reduction in battery lifecycle. The passive and active balancing technique is employed to balance the individual cells in the battery pack. In this paper, the adaptive passive cell balancing is performed for a battery pack of six series-connected Li-ion cells of rating 3.6V, 4Ah under ideal, charging, discharging and drive cycle conditions using MATLAB/Simscape. In this proposed adaptive passive cell balancing methodology, a dynamic resistance is selected based on the threshold values to balance the individual cells in the battery pack. For this battery pack, the proposed design achieves 34% reduction in balancing time, 17% reduction in energy loss, and 14% reduction in power loss under ideal conditions. The experimental verification is also done and shows that the balancing time is about 2400s. The capacity fade factor of the battery pack is also analyzed.
引用
收藏
页数:27
相关论文
共 50 条
  • [21] Adaptive Dynamic Programming Method for Optimal Battery Management of Battery Electric Vehicle
    Xue, Jiguang
    Yan, Chunsheng
    Wang, Dan
    Wang, Jun
    Wu, Jun
    Liao, Zehua
    PROCEEDINGS OF 2020 IEEE 9TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS CONFERENCE (DDCLS'20), 2020, : 65 - 68
  • [22] An Efficient Battery Balancing Scheme in Electric Vehicle
    Liu, Hongrui
    Xia, Chaoying
    2013 INTERNATIONAL CONFERENCE ON MATERIALS FOR RENEWABLE ENERGY AND ENVIRONMENT (ICMREE), VOLS 1-3, 2013, : 541 - 544
  • [23] Machine learning Approach to Battery Management and Balancing Techniques for Enhancing Electric Vehicle Battery Performance
    Bennehalli, Basavaraju
    Singh, Lavakush
    Stephen, D. Silas
    Prasad, P. Venkata
    Mallala, Balasubbareddy
    Rao, A. Purna Chandra
    JOURNAL OF ELECTRICAL SYSTEMS, 2024, 20 (02) : 885 - 892
  • [24] Battery Management System of Electric Vehicle Based on CAN
    Xia Jingjing
    Wang Guanghai
    2015 INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION, BIG DATA AND SMART CITY (ICITBS), 2016, : 181 - 183
  • [25] A Short Review on Battery Management System for Electric Vehicle
    Sundaram, Yasvanthkumar
    Nanjan, Sivanandan
    JOURNAL OF PHARMACEUTICAL NEGATIVE RESULTS, 2022, 13 : 1026 - 1030
  • [26] Study of Electric Vehicle Battery Thermal Management System
    Zhang, Yicheng
    Zhu, Hui
    2011 INTERNATIONAL CONFERENCE ON EDUCATION SCIENCE AND MANAGEMENT ENGINEERING (ESME 2011), VOLS 1-5, 2011, : 1159 - 1162
  • [27] 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
  • [28] Review of thermal management system for battery electric vehicle
    He, Liange
    Jing, Haodong
    Zhang, Yan
    Li, Pengpai
    Gu, Zihan
    JOURNAL OF ENERGY STORAGE, 2023, 59
  • [29] A New Practical Electric Vehicle Battery Management System
    Shi, Yanpeng
    Wu, Guoxin
    INTELLIGENT COMPUTING AND INFORMATION SCIENCE, PT I, 2011, 134 (0I): : 704 - +
  • [30] Electric vehicle battery management system based on DSP
    State Key Laboratory of Advanced Design and Manufacture for Vehicle Body, Hunan Univ., Changsha 410082, China
    不详
    Hunan Daxue Xuebao, 2009, 5 (33-36):