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Internal short circuit mechanisms, experimental approaches and detection methods of lithium-ion batteries for electric vehicles: A review

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  • Zhang, Guangxu
  • Wei, Xuezhe
  • Tang, Xuan
  • Zhu, Jiangong
  • Chen, Siqi
  • Dai, Haifeng

Abstract

Energy security, environmental concerns, and the upgrading of automobile industry are the driving trifecta of the rapid development of electric vehicles (EVs). Lithium-ion batteries (LIBs) have become the primary power source for EVs, given their high energy/power density and long service lifetime. However, safety is still a big challenge facing the population of LIBs. Internal short circuit (ISC) is one of the root causes for the failure of LIBs, whereas the mechanism of ISC formation and evolution is still unclear. This paper provides a comprehensive review of formation mechanisms, evolution framework, experimental approaches, detection methods and mitigation strategies of ISC in LIBs. Learning from the typical safety accidents of LIBs, ISC primarily which caused by typical factors is intensively investigated. Later, the behavior and evolution framework of ISC are profoundly elaborated. The ISC experimental approaches are systematically classified into conventional experimental approaches and novel experimental approaches, and their advantages and drawbacks are summarized in detail, respectively. Further, ISC detection methods including offline and online detection methods are comprehensively analyzed. Finally, an insight into the research perspective of ISC mitigation is provided.

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  • Zhang, Guangxu & Wei, Xuezhe & Tang, Xuan & Zhu, Jiangong & Chen, Siqi & Dai, Haifeng, 2021. "Internal short circuit mechanisms, experimental approaches and detection methods of lithium-ion batteries for electric vehicles: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 141(C).
    • Handle: RePEc:eee:rensus:v:141:y:2021:i:c:s136403212100085x
    DOI: 10.1016/j.rser.2021.110790
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    as
    1. Minhwan Seo & Taedong Goh & Minjun Park & Gyogwon Koo & Sang Woo Kim, 2017. "Detection of Internal Short Circuit in Lithium Ion Battery Using Model-Based Switching Model Method," Energies, MDPI, vol. 10(1), pages 1-13, January.
    2. Ping, Ping & Wang, Qingsong & Huang, Peifeng & Sun, Jinhua & Chen, Chunhua, 2014. "Thermal behaviour analysis of lithium-ion battery at elevated temperature using deconvolution method," Applied Energy, Elsevier, vol. 129(C), pages 261-273.
    3. Marco-Tulio F. Rodrigues & Ganguli Babu & Hemtej Gullapalli & Kaushik Kalaga & Farheen N. Sayed & Keiko Kato & Jarin Joyner & Pulickel M. Ajayan, 2017. "A materials perspective on Li-ion batteries at extreme temperatures," Nature Energy, Nature, vol. 2(8), pages 1-14, August.
    4. Fu, Yangyang & Lu, Song & Shi, Long & Cheng, Xudong & Zhang, Heping, 2018. "Ignition and combustion characteristics of lithium ion batteries under low atmospheric pressure," Energy, Elsevier, vol. 161(C), pages 38-45.
    5. Feng, Xuning & Weng, Caihao & Ouyang, Minggao & Sun, Jing, 2016. "Online internal short circuit detection for a large format lithium ion battery," Applied Energy, Elsevier, vol. 161(C), pages 168-180.
    6. Yayuan Liu & Yangying Zhu & Yi Cui, 2019. "Challenges and opportunities towards fast-charging battery materials," Nature Energy, Nature, vol. 4(7), pages 540-550, July.
    7. Zonghai Chen & Yang Ren & Andrew N. Jansen & Chi-kai Lin & Wei Weng & Khalil Amine, 2013. "New class of nonaqueous electrolytes for long-life and safe lithium-ion batteries," Nature Communications, Nature, vol. 4(1), pages 1-8, June.
    8. Xu, Jun & Liu, Binghe & Wang, Xinyi & Hu, Dayong, 2016. "Computational model of 18650 lithium-ion battery with coupled strain rate and SOC dependencies," Applied Energy, Elsevier, vol. 172(C), pages 180-189.
    9. Rao, Zhonghao & Wang, Shuangfeng, 2011. "A review of power battery thermal energy management," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(9), pages 4554-4571.
    10. Li, Yong & Yang, Jie & Song, Jian, 2017. "Design principles and energy system scale analysis technologies of new lithium-ion and aluminum-ion batteries for sustainable energy electric vehicles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 645-651.
    11. Zhao, Rui & Liu, Jie & Gu, Junjie, 2017. "A comprehensive study on Li-ion battery nail penetrations and the possible solutions," Energy, Elsevier, vol. 123(C), pages 392-401.
    12. Li Zhang & Min Zheng & Dajun Du & Yihuan Li & Minrui Fei & Yuanjun Guo & Kang Li, 2020. "State-of-Charge Estimation of Lithium-Ion Battery Pack Based on Improved RBF Neural Networks," Complexity, Hindawi, vol. 2020, pages 1-10, December.
    13. Sun, Zuo-Yu & Li, Guo-Xiu, 2015. "On reliability and flexibility of sustainable energy application route for vehicles in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 830-846.
    14. Taesic Kim & Darshan Makwana & Amit Adhikaree & Jitendra Shamjibhai Vagdoda & Young Lee, 2018. "Cloud-Based Battery Condition Monitoring and Fault Diagnosis Platform for Large-Scale Lithium-Ion Battery Energy Storage Systems," Energies, MDPI, vol. 11(1), pages 1-15, January.
    15. Liu, Binghe & Yin, Sha & Xu, Jun, 2016. "Integrated computation model of lithium-ion battery subject to nail penetration," Applied Energy, Elsevier, vol. 183(C), pages 278-289.
    16. Minhwan Seo & Taedong Goh & Minjun Park & Sang Woo Kim, 2018. "Detection Method for Soft Internal Short Circuit in Lithium-Ion Battery Pack by Extracting Open Circuit Voltage of Faulted Cell," Energies, MDPI, vol. 11(7), pages 1-18, June.
    17. Yangying Zhu & Jin Xie & Allen Pei & Bofei Liu & Yecun Wu & Dingchang Lin & Jun Li & Hansen Wang & Hao Chen & Jinwei Xu & Ankun Yang & Chun-Lan Wu & Hongxia Wang & Wei Chen & Yi Cui, 2019. "Fast lithium growth and short circuit induced by localized-temperature hotspots in lithium batteries," Nature Communications, Nature, vol. 10(1), pages 1-7, December.
    18. Yi Wu & Saurabh Saxena & Yinjiao Xing & Youren Wang & Chuan Li & Winco K. C. Yung & Michael Pecht, 2018. "Analysis of Manufacturing-Induced Defects and Structural Deformations in Lithium-Ion Batteries Using Computed Tomography," Energies, MDPI, vol. 11(4), pages 1-22, April.
    19. Deng, Zhongwei & Hu, Xiaosong & Lin, Xianke & Che, Yunhong & Xu, Le & Guo, Wenchao, 2020. "Data-driven state of charge estimation for lithium-ion battery packs based on Gaussian process regression," Energy, Elsevier, vol. 205(C).
    20. Ye, Jiana & Chen, Haodong & Wang, Qingsong & Huang, Peifeng & Sun, Jinhua & Lo, Siuming, 2016. "Thermal behavior and failure mechanism of lithium ion cells during overcharge under adiabatic conditions," Applied Energy, Elsevier, vol. 182(C), pages 464-474.
    21. Ruiz, V. & Pfrang, A. & Kriston, A. & Omar, N. & Van den Bossche, P. & Boon-Brett, L., 2018. "A review of international abuse testing standards and regulations for lithium ion batteries in electric and hybrid electric vehicles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 1427-1452.
    22. Liu, Lishuo & Feng, Xuning & Zhang, Mingxuan & Lu, Languang & Han, Xuebing & He, Xiangming & Ouyang, Minggao, 2020. "Comparative study on substitute triggering approaches for internal short circuit in lithium-ion batteries," Applied Energy, Elsevier, vol. 259(C).
    23. Saw, Lip Huat & Poon, Hiew Mun & Thiam, Hui San & Cai, Zuansi & Chong, Wen Tong & Pambudi, Nugroho Agung & King, Yeong Jin, 2018. "Novel thermal management system using mist cooling for lithium-ion battery packs," Applied Energy, Elsevier, vol. 223(C), pages 146-158.
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    3. Chen, Siqi & Wei, Xuezhe & Zhang, Guangxu & Rui, Xinyu & Xu, Chengshan & Feng, Xuning & Dai, Haifeng & Ouyang, Minggao, 2023. "Active and passive safety enhancement for batteries from force perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 187(C).
    4. Yang, Qifan & Sun, Jinlei & Kang, Yongzhe & Ma, Hongzhong & Duan, Dawei, 2023. "Internal short circuit detection and evaluation in battery packs based on transformation matrix and an improved state-space model," Energy, Elsevier, vol. 276(C).
    5. Qiao, Dongdong & Wei, Xuezhe & Fan, Wenjun & Jiang, Bo & Lai, Xin & Zheng, Yuejiu & Tang, Xiaolin & Dai, Haifeng, 2022. "Toward safe carbon–neutral transportation: Battery internal short circuit diagnosis based on cloud data for electric vehicles," Applied Energy, Elsevier, vol. 317(C).
    6. Bingxiang Sun & Xianjie Qi & Donglin Song & Haijun Ruan, 2023. "Review of Low-Temperature Performance, Modeling and Heating for Lithium-Ion Batteries," Energies, MDPI, vol. 16(20), pages 1-37, October.
    7. Song, Youngbin & Park, Shina & Kim, Sang Woo, 2023. "Model-free quantitative diagnosis of internal short circuit for lithium-ion battery packs under diverse operating conditions," Applied Energy, Elsevier, vol. 352(C).
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