Mechanism, modeling, detection, and prevention of the internal short circuit in lithium-ion batteries: Recent advances and perspectives

被引:256
作者
Lai, Xin [1 ]
Jin, Changyong [1 ]
Yi, Wei [1 ]
Han, Xuebing [2 ]
Feng, Xuning [2 ]
Zheng, Yuejiu [1 ]
Ouyang, Minggao [2 ]
机构
[1] Univ Shanghai Sci & Technol, Coll Mech Engn, Shanghai 200093, Peoples R China
[2] Tsinghua Univ, State Key Lab Automot Safety & Energy, Beijing 100084, Peoples R China
基金
上海市自然科学基金; 中国国家自然科学基金;
关键词
Lithium-ion battery; Electric vehicle; Internal short circuit; Battery safety; Fault diagnosis; STATE-OF-CHARGE; MULTIPHYSICS COMPUTATIONAL FRAMEWORK; REPRESENTATIVE VOLUME ELEMENTS; THERMAL MANAGEMENT-SYSTEM; CERAMIC-COATED SEPARATOR; FAULT-DIAGNOSIS APPROACH; EXTERNAL SHORT-CIRCUIT; ELECTRIC VEHICLES; AGING MECHANISMS; HIGH-POWER;
D O I
10.1016/j.ensm.2020.11.026
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
Safety concerns are the main obstacle to large-scale application of lithium-ion batteries (LIBs), and thus, improving the safety of LIBs is receiving global attention. Within battery systems, the internal short circuit (ISC) is considered to be a severe hazard, as it may result in catastrophic safety failures, such as thermal runaway. Considering this, we provide a comprehensive review on the mechanism and evolutionary process of ISC, including modeling and simulation experiments and the methods of detection and diagnosis. First, ISC types and the inducing mechanism under various inducements are analyzed, and the evolution process of ISC is divided into three stages according to electrical and thermal characteristics. Second, eleven existing ISC substitute experimental methods are listed in detail, and three coupling models of electric-thermal-ISC models are introduced to simulate the characteristics of ISC. Third, existing ISC detection methods are reviewed in detail, divided into six categories. Moreover, we propose methods for ISC detection under four special conditions: ISC detection for the cells before grouping, ISC detection method during electric vehicle dormancy, ISC detection based on equilibrium electric quantity compensation to address negative impact of the equalization function of the battery management system on ISC detection, and effective fault tree diagnosis for the joint identification and early warning of multiple battery faults. Fourth, existing ISC prevention methods are reviewed. Finally, the key technologies of ISC are prospected, revealing that the development of big data and artificial intelligence technology will promote the accuracy and timeliness of ISC detection.
引用
收藏
页码:470 / 499
页数:30
相关论文
共 50 条
  • [41] Recent advances in lithium-ion battery utilization: A mini review
    Roshanaei, Khandan
    Taskesen, Edip
    Oezkaymak, Mehmet
    SIGMA JOURNAL OF ENGINEERING AND NATURAL SCIENCES-SIGMA MUHENDISLIK VE FEN BILIMLERI DERGISI, 2023, 41 (06): : 1272 - 1286
  • [42] A Novel Approach for Internal Short Circuit Prediction of Lithium-Ion Batteries by Random Forest
    Xiao, Bin
    Xiao, Bing
    INTERNATIONAL JOURNAL OF ELECTROCHEMICAL SCIENCE, 2021, 16 (04): : 1 - 19
  • [43] Incipient short-circuit fault diagnosis of lithium-ion batteries
    Meng, Jianwen
    Boukhnifer, Moussa
    Delpha, Claude
    Diallo, Demba
    JOURNAL OF ENERGY STORAGE, 2020, 31
  • [44] Temperature enhanced early detection of internal short circuits in lithium-ion batteries using an extended Kalman filter
    Jia, Yiqi
    Brancato, Lorenzo
    Giglio, Marco
    Cadini, Francesco
    JOURNAL OF POWER SOURCES, 2024, 591
  • [45] Deep Learning Framework for Lithium-ion Battery State of Charge Estimation: Recent Advances and Future Perspectives
    Tian, Jinpeng
    Chen, Cheng
    Shen, Weixiang
    Sun, Fengchun
    Xiong, Rui
    ENERGY STORAGE MATERIALS, 2023, 61
  • [46] Recent advancements and perspectives in lithium-ion battery aging: Mechanism, characterization, and prediction
    Liu, Yuan
    Lai, Xin
    Zheng, Yuejiu
    Cheng, E.
    Zhu, Jiajun
    Qian, Linglong
    JOURNAL OF ENERGY STORAGE, 2025, 122
  • [47] Internal Short Circuit Fault Diagnosis for Lithium-ion Battery Based on Voltage and Temperature
    Yang, Bin
    Cui, Naxin
    Wang, Mingchun
    2019 3RD CONFERENCE ON VEHICLE CONTROL AND INTELLIGENCE (CVCI), 2019, : 160 - 165
  • [48] A Comparative Study on Open Circuit Voltage Models for Lithium-ion Batteries
    Yu, Quan-Qing
    Xiong, Rui
    Wang, Le-Yi
    Lin, Cheng
    CHINESE JOURNAL OF MECHANICAL ENGINEERING, 2018, 31 (01)
  • [49] Review: Characterization and Modeling of the Mechanical Properties of Lithium-Ion Batteries
    Kermani, Golriz
    Sahraei, Elham
    ENERGIES, 2017, 10 (11)
  • [50] Online internal short circuit detection for a large format lithium ion battery
    Feng, Xuning
    Weng, Caihao
    Ouyang, Minggao
    Sun, Jing
    APPLIED ENERGY, 2016, 161 : 168 - 180