IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v405y2026ics0306261925019270.html

Quenching thermal runaway propagation in lithium-ion battery arrays with various thermal barriers: Experimental and modeling characterization

Author

Listed:
  • Han, Kyeong Soo
  • Heinzel, John
  • Franqueville, Juliette
  • Ezekoye, Ofodike A.

Abstract

Incorporation of thermal barriers (TBs) into lithium-ion battery modules has been shown to quench thermal runaway propagation (TRP). The design of such modules is required to optimize TBs to minimize weight and volume while maintaining TRP suppression. To construct an efficient design framework for evaluating diverse TBs, a modular, reconfigurable experimental system was developed to generate datasets for model calibration and validation, and a computational modeling environment was tailored to the physics of the specific cell and TB configurations being explored. The experimental system was constructed and exercised, permitting changes to the number of insulation layers, inclusion of finned surfaces, and the number of cells under test. In parallel, thermophysical-property calibration tests for TBs were conducted. Together, they produced extensive datasets for model calibration and validation. A fast yet sufficiently accurate low-order model was developed to predict TRP quenching in 11-Ah lithium-cobalt-oxide pouch cells at 100 % state of charge, across TB and no-TB configurations. Because the model contained more than ten unknown parameters (e.g., thermal contact resistances), a sequential, multi-step calibration framework was developed to estimate them and improve model accuracy. The calibrated model was validated against independent datasets. The design framework was then applied to assess the TRP-quenching performance of prospective designs based on an analysis of TB mechanisms (thermal storage, dissipation, and transmission). A quenching boundary map was generated, indicating that a TB comprising 2.5 mm aerogel layer and 1 mm fin quenched TRP and reduced mass and volume by 83 % and 72 %, respectively, relative to the baseline experimental TB.

Suggested Citation

  • Han, Kyeong Soo & Heinzel, John & Franqueville, Juliette & Ezekoye, Ofodike A., 2026. "Quenching thermal runaway propagation in lithium-ion battery arrays with various thermal barriers: Experimental and modeling characterization," Applied Energy, Elsevier, vol. 405(C).
  • Handle: RePEc:eee:appene:v:405:y:2026:i:c:s0306261925019270
    DOI: 10.1016/j.apenergy.2025.127197
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261925019270
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2025.127197?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

    for a different version of it.

    References listed on IDEAS

    as
    1. Hu, Jian & Tang, Xiaojie & Zhu, Xiaolong & Liu, Tong & Wang, Xishi, 2024. "Suppression of thermal runaway induced by thermal abuse in large-capacity lithium-ion batteries with water mist," Energy, Elsevier, vol. 286(C).
    2. Feng, Xuning & He, Xiangming & Ouyang, Minggao & Lu, Languang & Wu, Peng & Kulp, Christian & Prasser, Stefan, 2015. "Thermal runaway propagation model for designing a safer battery pack with 25Ah LiNixCoyMnzO2 large format lithium ion battery," Applied Energy, Elsevier, vol. 154(C), pages 74-91.
    3. Jiang, Z.Y. & Qu, Z.G. & Zhang, J.F. & Rao, Z.H., 2020. "Rapid prediction method for thermal runaway propagation in battery pack based on lumped thermal resistance network and electric circuit analogy," Applied Energy, Elsevier, vol. 268(C).
    4. Ostanek, Jason K. & Li, Weisi & Mukherjee, Partha P. & Crompton, K.R. & Hacker, Christopher, 2020. "Simulating onset and evolution of thermal runaway in Li-ion cells using a coupled thermal and venting model," Applied Energy, Elsevier, vol. 268(C).
    5. Feng, Xuning & Lu, Languang & Ouyang, Minggao & Li, Jiangqiu & He, Xiangming, 2016. "A 3D thermal runaway propagation model for a large format lithium ion battery module," Energy, Elsevier, vol. 115(P1), pages 194-208.
    6. He, C.X. & Liu, Y.H. & Huang, X.Y. & Wan, S.B. & Lin, P.Z. & Huang, B.L. & Sun, J. & Zhao, T.S., 2024. "A reduced-order thermal runaway network model for predicting thermal propagation of lithium-ion batteries in large-scale power systems," Applied Energy, Elsevier, vol. 373(C).
    7. Chen, Siqi & Wei, Xuezhe & Wu, Hang & Chen, Kaixin & Zhang, Guangxu & Wang, Xueyuan & Zhu, Jiangong & Feng, Xuning & Dai, Haifeng & Ouyang, Minggao, 2025. "Multi-functional thermal barrier suppresses battery thermal runaway propagation and degradation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 223(C).
    8. Wang, Gongquan & Kong, Depeng & Ping, Ping & He, Xiaoqin & Lv, Hongpeng & Zhao, Hengle & Hong, Wanru, 2023. "Modeling venting behavior of lithium-ion batteries during thermal runaway propagation by coupling CFD and thermal resistance network," Applied Energy, Elsevier, vol. 334(C).
    9. Wong, Shaw Kang & Li, Kuijie & Rui, Xinyu & Fan, Liyun & Ouyang, Minggao & Feng, Xuning, 2024. "Mitigating thermal runaway propagation in high specific energy lithium-ion battery modules through nanofiber aerogel composite material," Energy, Elsevier, vol. 307(C).
    10. Liu, Fen & Wang, Jianfeng & Yang, Na & Wang, Fuqiang & Chen, Yaping & Lu, Dongchen & Liu, Hui & Du, Qian & Ren, Xutong & Shi, Mengyu, 2022. "Experimental study on the alleviation of thermal runaway propagation from an overcharged lithium-ion battery module using different thermal insulation layers," Energy, Elsevier, vol. 257(C).
    11. E, Jiaqiang & Xiao, Hanxu & Tian, Sicheng & Huang, Yuxin, 2024. "A comprehensive review on thermal runaway model of a lithium-ion battery: Mechanism, thermal, mechanical, propagation, gas venting and combustion," Renewable Energy, Elsevier, vol. 229(C).
    12. Jin, Changyong & Sun, Yuedong & Wang, Huaibin & Zheng, Yuejiu & Wang, Shuyu & Rui, Xinyu & Xu, Chengshan & Feng, Xuning & Wang, Hewu & Ouyang, Minggao, 2022. "Heating power and heating energy effect on the thermal runaway propagation characteristics of lithium-ion battery module: Experiments and modeling," Applied Energy, Elsevier, vol. 312(C).
    13. Ren, Dongsheng & Liu, Xiang & Feng, Xuning & Lu, Languang & Ouyang, Minggao & Li, Jianqiu & He, Xiangming, 2018. "Model-based thermal runaway prediction of lithium-ion batteries from kinetics analysis of cell components," Applied Energy, Elsevier, vol. 228(C), pages 633-644.
    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. He, C.X. & Liu, Y.H. & Huang, X.Y. & Wan, S.B. & Lin, P.Z. & Huang, B.L. & Sun, J. & Zhao, T.S., 2024. "A reduced-order thermal runaway network model for predicting thermal propagation of lithium-ion batteries in large-scale power systems," Applied Energy, Elsevier, vol. 373(C).
    2. Zhang, Pengfei & Chen, Haipeng & Yang, Kangbo & Lu, Yiji & Huang, Yuqi, 2024. "Accelerated computational strategies for multi-scale thermal runaway prediction models in Li-ion battery," Energy, Elsevier, vol. 305(C).
    3. Zhang, Yue & Song, Laifeng & Tian, Jiamin & Mei, Wenxin & Jiang, Lihua & Sun, Jinhua & Wang, Qingsong, 2024. "Modeling the propagation of internal thermal runaway in lithium-ion battery," Applied Energy, Elsevier, vol. 362(C).
    4. Jin, Changyong & Sun, Yuedong & Wang, Huaibin & Zheng, Yuejiu & Wang, Shuyu & Rui, Xinyu & Xu, Chengshan & Feng, Xuning & Wang, Hewu & Ouyang, Minggao, 2022. "Heating power and heating energy effect on the thermal runaway propagation characteristics of lithium-ion battery module: Experiments and modeling," Applied Energy, Elsevier, vol. 312(C).
    5. Wang, Peiben & Xu, Chengshan & Huang, Jingru & Zhang, Mengqi & Jiang, Fachao & Feng, Xuning, 2025. "Experimental and simulation study on internal thermal runaway development drives venting and flammable gas risk evaluate of Lithium-ion battery," Applied Energy, Elsevier, vol. 385(C).
    6. Chen, Jie & Ren, Dongsheng & Hsu, Hungjen & Wang, Li & He, Xiangming & Zhang, Caiping & Feng, Xuning & Ouyang, Minggao, 2021. "Investigating the thermal runaway features of lithium-ion batteries using a thermal resistance network model," Applied Energy, Elsevier, vol. 295(C).
    7. Xu, Chengshan & Wang, Huaibin & Jiang, Fachao & Feng, Xuning & Lu, Languang & Jin, Changyong & Zhang, Fangshu & Huang, Wensheng & Zhang, Mengqi & Ouyang, Minggao, 2023. "Modelling of thermal runaway propagation in lithium-ion battery pack using reduced-order model," Energy, Elsevier, vol. 268(C).
    8. Ostanek, Jason K. & Li, Weisi & Mukherjee, Partha P. & Crompton, K.R. & Hacker, Christopher, 2020. "Simulating onset and evolution of thermal runaway in Li-ion cells using a coupled thermal and venting model," Applied Energy, Elsevier, vol. 268(C).
    9. E, Jiaqiang & Xiao, Hanxu & Tian, Sicheng & Huang, Yuxin, 2024. "A comprehensive review on thermal runaway model of a lithium-ion battery: Mechanism, thermal, mechanical, propagation, gas venting and combustion," Renewable Energy, Elsevier, vol. 229(C).
    10. Wang, Gongquan & Kong, Depeng & Ping, Ping & He, Xiaoqin & Lv, Hongpeng & Zhao, Hengle & Hong, Wanru, 2023. "Modeling venting behavior of lithium-ion batteries during thermal runaway propagation by coupling CFD and thermal resistance network," Applied Energy, Elsevier, vol. 334(C).
    11. Huang, Zonghou & Yu, Yin & Duan, Qiangling & Qin, Peng & Sun, Jinhua & Wang, Qingsong, 2022. "Heating position effect on internal thermal runaway propagation in large-format lithium iron phosphate battery," Applied Energy, Elsevier, vol. 325(C).
    12. Zhang, Liwen & Zhao, Peng & Xu, Meng & Wang, Xia, 2020. "Computational identification of the safety regime of Li-ion battery thermal runaway," Applied Energy, Elsevier, vol. 261(C).
    13. Li, Junqiu & Sun, Danni & Jin, Xin & Shi, Wentong & Sun, Chao, 2019. "Lithium-ion battery overcharging thermal characteristics analysis and an impedance-based electro-thermal coupled model simulation," Applied Energy, Elsevier, vol. 254(C).
    14. Chen, Mingyi & Mao, Yikai & Zhu, Minghao & Chen, Yin & Pan, Jiaying, 2025. "Incorporation of aerogel and encapsulating phase change material in thermal runaway propagation inhibition and interval optimization for lithium-ion battery," Energy, Elsevier, vol. 324(C).
    15. He, C.X. & Yue, Q.L. & Chen, Q. & Zhao, T.S., 2022. "Modeling thermal runaway of lithium-ion batteries with a venting process," Applied Energy, Elsevier, vol. 327(C).
    16. García, Antonio & Pastor, José V. & Monsalve-Serrano, Javier & Golke, Diego, 2024. "Cell-to-cell dispersion impact on zero-dimensional models for predicting thermal runaway parameters of NCA and NMC811," Applied Energy, Elsevier, vol. 369(C).
    17. Feng, Xuning & Zheng, Siqi & Ren, Dongsheng & He, Xiangming & Wang, Li & Cui, Hao & Liu, Xiang & Jin, Changyong & Zhang, Fangshu & Xu, Chengshan & Hsu, Hungjen & Gao, Shang & Chen, Tianyu & Li, Yalun , 2019. "Investigating the thermal runaway mechanisms of lithium-ion batteries based on thermal analysis database," Applied Energy, Elsevier, vol. 246(C), pages 53-64.
    18. Wang, Gongquan & Ping, Ping & Peng, Rongqi & Lv, Hongpeng & Zhao, Hengle & Gao, Wei & Kong, Depeng, 2023. "A semi reduced-order model for multi-scale simulation of fire propagation of lithium-ion batteries in energy storage system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 186(C).
    19. Daniels, Rojo Kurian & Kumar, Vikas & Chouhan, Satyendra Singh & Prabhakar, Aneesh, 2024. "Thermal runaway fault prediction in air-cooled lithium-ion battery modules using machine learning through temperature sensors placement optimization," Applied Energy, Elsevier, vol. 355(C).
    20. Huang, Zonghou & Shen, Ting & Jin, Kaiqiang & Sun, Jinhua & Wang, Qingsong, 2022. "Heating power effect on the thermal runaway characteristics of large-format lithium ion battery with Li(Ni1/3Co1/3Mn1/3)O2 as cathode," Energy, Elsevier, vol. 239(PA).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:appene:v:405:y:2026:i:c:s0306261925019270. 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.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    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.