IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v231y2024ics0960148124011133.html
   My bibliography  Save this article

Thermal runaway front propagation characteristics, modeling and judging criteria for multi-jelly roll prismatic lithium-ion battery applications

Author

Listed:
  • Chen, Siqi
  • Wei, Xuezhe
  • Zhu, Zhehui
  • Wu, Hang
  • Ou, Yuxin
  • Zhang, Guangxu
  • Wang, Xueyuan
  • Zhu, Jiangong
  • Feng, Xuning
  • Dai, Haifeng
  • Ouyang, Minggao

Abstract

Large-format prismatic Li-ion batteries (LIBs) are prominent energy storage devices in electric transportation applications. However, large-format LIB induces severe thermal runaway (TR) disasters. Battery failure commonly initiates from a local point of one jelly roll and then propagates to the whole cell, called thermal runaway front (TRF) propagation. This study investigates the TRF propagation mechanism of multi-jelly roll-based LIBs through experiments, modeling, and theoretical analysis for thermal runaway propagation (TRP) mitigation. Experiments prove that battery venting changes along the jelly roll-safety valve directions during the TRF boundary movement. Besides, TRF propagation speed is found to be accelerated inside each cell (from 3.6 to 10.6 mm/s) during TRP, driven by a significant temperature gradient, chemical reactions, and gas flow along the TRP direction. The in-cell TRF acceleration behavior is more noticeable for batteries with more jelly rolls. The TRF speed-jelly roll index equations are proposed to reveal the propagation acceleration principle mathematically. Furthermore, a thermal-physical model is developed to precisely simulate in-cell TRF propagation behavior, which is validated by experimental data. Moreover, the TRF boundary temperature equation and “No TRP” judging criteria are proposed through theoretical analysis. This study proposes promising strategies for potential TRP suppression, contributing to future safe battery system design.

Suggested Citation

  • Chen, Siqi & Wei, Xuezhe & Zhu, Zhehui & Wu, Hang & Ou, Yuxin & Zhang, Guangxu & Wang, Xueyuan & Zhu, Jiangong & Feng, Xuning & Dai, Haifeng & Ouyang, Minggao, 2024. "Thermal runaway front propagation characteristics, modeling and judging criteria for multi-jelly roll prismatic lithium-ion battery applications," Renewable Energy, Elsevier, vol. 231(C).
    • Handle: RePEc:eee:renene:v:231:y:2024:i:c:s0960148124011133
    DOI: 10.1016/j.renene.2024.121045
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148124011133
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2024.121045?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Song, Aoye & Zhou, Yuekuan, 2023. "A hierarchical control with thermal and electrical synergies on battery cycling ageing and energy flexibility in a multi-energy sharing network," Renewable Energy, Elsevier, vol. 212(C), pages 1020-1037.
    2. Donal P. Finegan & Mario Scheel & James B. Robinson & Bernhard Tjaden & Ian Hunt & Thomas J. Mason & Jason Millichamp & Marco Di Michiel & Gregory J. Offer & Gareth Hinds & Dan J.L. Brett & Paul R. Sh, 2015. "In-operando high-speed tomography of lithium-ion batteries during thermal runaway," Nature Communications, Nature, vol. 6(1), pages 1-10, November.
    3. Huang, Peifeng & Zeng, Ganghui & He, Yanyun & Liu, Shoutong & Li, Eric & Bai, Zhonghao, 2023. "Damage evolution mechanism and early warning using long short-term memory networks for battery slight overcharge cycles," Renewable Energy, Elsevier, vol. 217(C).
    4. Zhu, Yuli & Jiang, Bo & Zhu, Jiangong & Wang, Xueyuan & Wang, Rong & Wei, Xuezhe & Dai, Haifeng, 2023. "Adaptive state of health estimation for lithium-ion batteries using impedance-based timescale information and ensemble learning," Energy, Elsevier, vol. 284(C).
    5. 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).
    6. 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).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yi, Yahui & Xia, Chengyu & Shi, Lei & Meng, Leifeng & Chi, Qifu & Qian, Liqin & Ma, Tiancai & Chen, Siqi, 2024. "Lithium-ion battery expansion mechanism and Gaussian process regression based state of charge estimation with expansion characteristics," Energy, Elsevier, vol. 292(C).
    2. Li, Yi & Liu, Kailong & Foley, Aoife M. & Zülke, Alana & Berecibar, Maitane & Nanini-Maury, Elise & Van Mierlo, Joeri & Hoster, Harry E., 2019. "Data-driven health estimation and lifetime prediction of lithium-ion batteries: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 113(C), pages 1-1.
    3. Wei, Gang & Huang, Ranjun & Zhang, Guangxu & Jiang, Bo & Zhu, Jiangong & Guo, Yangyang & Han, Guangshuai & Wei, Xuezhe & Dai, Haifeng, 2023. "A comprehensive insight into the thermal runaway issues in the view of lithium-ion battery intrinsic safety performance and venting gas explosion hazards," Applied Energy, Elsevier, vol. 349(C).
    4. Hou, Liubin & Dong, Ao & Ma, Ruifei & Lin, Hejie & Deng, Yelin, 2024. "The sensitive detection of the early-stage internal short circuit triggered by lithium plating through the simplified electrochemical model at various working conditions," Energy, Elsevier, vol. 304(C).
    5. Gao, Renjing & Liang, Hong & Zhang, Yunfei & Zhao, Haihe & Chen, Zeyu, 2024. "Characterization of lithium-ion batteries after suffering micro short circuit induced by mechanical stress abuse," Applied Energy, Elsevier, vol. 374(C).
    6. Hossain, Eklas & Roy, Shidhartho & Mohammad, Naeem & Nawar, Nafiu & Dipta, Debopriya Roy, 2021. "Metrics and enhancement strategies for grid resilience and reliability during natural disasters," Applied Energy, Elsevier, vol. 290(C).
    7. 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).
    8. Zhang, Ying & Gao, Kaiye & Ma, Tianyi & Wang, Huan & Li, Yan-Fu, 2024. "Intelligent recognition of structural health state of EV lithium-ion Battery using transfer learning based on X-ray computed tomography," Reliability Engineering and System Safety, Elsevier, vol. 251(C).
    9. Cai, Hongchang & Tang, Xiaopeng & Lai, Xin & Wang, Yanan & Han, Xuebing & Ouyang, Minggao & Zheng, Yuejiu, 2024. "How battery capacities are correctly estimated considering latent short-circuit faults," Applied Energy, Elsevier, vol. 375(C).
    10. Li, Kuijie & Gao, Xinlei & Peng, Shijian & Wang, Shengshi & Zhang, Weixin & Liu, Peng & Wu, Weixiong & Wang, Huizhi & Wang, Yu & Feng, Xuning & Cao, Yuan-cheng & Wen, Jinyu & Cheng, Shijie & Ouyang, M, 2024. "A comparative study on multidimensional signal evolution during thermal runaway of lithium-ion batteries with various cathode materials," Energy, Elsevier, vol. 300(C).
    11. Fransson, Matilda & Broche, Ludovic & Reid, Hamish T. & Patel, Drasti & Rack, Alexander & Shearing, Paul R., 2024. "Investigating thermal runaway dynamics and integrated safety mechanisms of micro-batteries using high-speed X-ray imaging," Applied Energy, Elsevier, vol. 369(C).
    12. Xinyu Liu & Zhifu Zhou & Weitao Wu & Linsong Gao & Yang Li & Heng Huang & Zheng Huang & Yubai Li & Yongchen Song, 2022. "Three-Dimensional Modeling for the Internal Shorting Caused Thermal Runaway Process in 20Ah Lithium-Ion Battery," Energies, MDPI, vol. 15(19), pages 1-25, September.
    13. Kang, Zhuang & Peng, Qingguo & Yin, Ruixue & Yao, Zhengmin & Song, Yangyang & He, Biao, 2024. "Investigation of multifactorial effects on the thermal performance of battery pack inserted with multi-layer phase change materials," Energy, Elsevier, vol. 290(C).
    14. Craig, Ben & Schoetz, Theresa & Cruden, Andrew & Ponce de Leon, Carlos, 2020. "Review of current progress in non-aqueous aluminium batteries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    15. Saurabh Saxena & Yinjiao Xing & Michael Pecht, 2018. "A Unique Failure Mechanism in the Nexus 6P Lithium-Ion Battery," Energies, MDPI, vol. 11(4), pages 1-13, April.
    16. Ren, Dongsheng & Feng, Xuning & Lu, Languang & He, Xiangming & Ouyang, Minggao, 2019. "Overcharge behaviors and failure mechanism of lithium-ion batteries under different test conditions," Applied Energy, Elsevier, vol. 250(C), pages 323-332.
    17. Plunkett, Samuel T. & Chen, Chengxiu & Rojaee, Ramin & Doherty, Patrick & Sik Oh, Yun & Galazutdinova, Yana & Krishnamurthy, Mahesh & Al-Hallaj, Said, 2021. "Enhancing thermal safety in lithium-ion battery packs through parallel cell ‘current dumping’ mitigation," Applied Energy, Elsevier, vol. 286(C).
    18. Zhang, Ran & Ji, ChunHui & Zhou, Xing & Liu, Tianyu & Jin, Guang & Pan, Zhengqiang & Liu, Yajie, 2024. "Capacity estimation of lithium-ion batteries with uncertainty quantification based on temporal convolutional network and Gaussian process regression," Energy, Elsevier, vol. 297(C).
    19. Shen, Yudong & Wang, Xueyuan & Jiang, Zhao & Luo, Bingyin & Chen, Daidai & Wei, Xuezhe & Dai, Haifeng, 2024. "Online detection of lithium plating onset during constant and multistage constant current fast charging for lithium-ion batteries," Applied Energy, Elsevier, vol. 370(C).
    20. Yubai Li & Zhifu Zhou & Wei-Tao Wu, 2020. "Three-Dimensional Thermal Modeling of Internal Shorting Process in a 20Ah Lithium-Ion Polymer Battery," Energies, MDPI, vol. 13(4), pages 1-16, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:renene:v:231:y:2024:i:c:s0960148124011133. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.