In Situ Inversion of Lithium-Ion Battery Pack Unbalanced Current for Inconsistency Detection Using Magnetic Field Imaging

被引:0
|
作者
Wang, Hang [1 ,2 ]
Mao, Lei [3 ]
Liu, Yongbin [1 ,2 ]
Tao, Jun [1 ]
Hu, Zhiyong [3 ]
Zhou, Yuanyuan [1 ]
机构
[1] Anhui Univ, Sch Elect Engn & Automat, Hefei 230601, Peoples R China
[2] Smart Grid Digital Collaborat Technol Joint Lab An, Hefei 230088, Peoples R China
[3] Univ Sci & Technol China, Sch Engn Sci, Hefei 230022, Peoples R China
基金
中国国家自然科学基金;
关键词
Batteries; Magnetic fields; Magnetic field measurement; Battery charge measurement; Current measurement; Magnetic susceptibility; Imaging; Voltage measurement; Testing; Magnetic sensors; Lithium-ion battery; magnetic field imaging; nondestructive testing; performance inconsistency; unbalanced current; CELLS;
D O I
10.1109/TIM.2024.3472854
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
The performance inconsistency of lithium-ion battery packs is one of the key factors that lead to their accelerated lifespan degradation and reduced reliability. Hence, it is of great significance to accurately detect the consistency of cell parameters within the pack without destructive testing. The working current of the cell is the most direct and effective parameter to characterize the consistency of its module. However, cell-level current is not monitored in commercial battery packs due to the limitations of current sensors. Therefore, this work proposes an inversion method using in situ magnetic field imaging for detecting unbalanced current induced by performance inconsistency of the pack. Through elucidating the superposition property of current-induced magnetic field (CIMF) between cells, a current inversion model (CIM) for the battery pack is constructed, with the model principle and solution method given. Battery packs with different configuration structures are designed, simulated, and measured. The results show that this method can reduce the interference of susceptibility-induced magnetic field (SIMF) and achieve milliampere-level current calculated accuracy. This provides a new way to quickly and accurately evaluate the performance consistency of battery packs and provides a technical guarantee for battery pack service performance testing and maintenance.
引用
收藏
页数:12
相关论文
共 50 条
  • [1] In Situ Detection of Lithium-Ion Battery Pack Capacity Inconsistency Using Magnetic Field Scanning Imaging
    Wang, Hang
    Dai, Lang
    Mao, Lei
    Liu, Yongbin
    Jin, Yi
    Wu, Qiang
    SMALL METHODS, 2022, 6 (03)
  • [2] An Internal Resistance Consistency Detection Approach for Lithium-Ion Battery Pack Using Unbalanced Capacitor Current
    Xiong, Qing
    Huang, Xiujun
    Guo, Ziqing
    Zhao, Xiaoxiao
    Di, Zhenguo
    Li, Jianghan
    Yue, Caitong
    Ji, Shengchang
    IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION, 2024, 10 (03): : 7029 - 7039
  • [3] Evaluation of Cell Inconsistency in Lithium-Ion Battery Pack Using the Autoencoder Network Model
    Jeng, Shyr-Long
    Chieng, Wei-Hua
    IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2023, 19 (05) : 6337 - 6348
  • [4] Degradation and Dependence Analysis of a Lithium-Ion Battery Pack in the Unbalanced State
    Wang, Xiaohong
    Li, Shixiang
    Wang, Lizhi
    Sun, Yaning
    Wang, Zhongxing
    ENERGIES, 2020, 13 (22)
  • [5] Evaluation of Lithium-Ion Battery Pack Capacity Consistency Using One-Dimensional Magnetic Field Scanning
    Wang, Hang
    Yu, Kun
    Mao, Lei
    He, Qingbo
    Wu, Qiang
    Li, Zhinong
    IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2022, 71
  • [6] SOC Estimation of Lithium-Ion Battery Pack Considering Balancing Current
    Zhang, Zhiliang
    Cheng, Xiang
    Lu, Zhou-Yu
    Gu, Dong-Jie
    IEEE TRANSACTIONS ON POWER ELECTRONICS, 2018, 33 (03) : 2216 - 2226
  • [7] Consistency Detection Approach for Lithium-ion Battery Pack Based on Current Characteristics of Bridging Capacitors
    Guo Z.
    Xiong Q.
    Liang B.
    Zhang C.
    Zhu L.
    Ji S.
    Gaodianya Jishu/High Voltage Engineering, 2022, 48 (05): : 1933 - 1942
  • [8] Voltage fault detection for lithium-ion battery pack using local outlier factor
    Chen, Zonghai
    Xu, Ke
    Wei, Jingwen
    Dong, Guangzhong
    MEASUREMENT, 2019, 146 : 544 - 556
  • [9] Lithium-Ion Battery Pack Robust State of Charge Estimation, Cell Inconsistency, and Balancing: Review
    Naguib, Mina
    Kollmeyer, Phillip
    Emadi, Ali
    IEEE ACCESS, 2021, 9 : 50570 - 50582
  • [10] Series-connected lithium-ion battery pack health modeling with cell inconsistency evaluation
    Song, Yuchen
    Liu, Datong
    Peng, Yu
    2019 IEEE INTERNATIONAL INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE (I2MTC), 2019, : 80 - 85