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A semi reduced-order model for multi-scale simulation of fire propagation of lithium-ion batteries in energy storage system

Author

Listed:
  • Wang, Gongquan
  • Ping, Ping
  • Peng, Rongqi
  • Lv, Hongpeng
  • Zhao, Hengle
  • Gao, Wei
  • Kong, Depeng

Abstract

Thermal runaway (TR) and the resulting fire propagation are still critical issues puzzling the application of lithium-ion batteries in energy storage system (ESS). A fire propagation model including accurate TR propagating process assists in understanding the battery failure mechanism and determining the safety-optimal design of ESS, while its development is hindered by the complexity of simulating large-scale spatial system and interactions between TR and fire. In this work, a coupled semi reduced-order model (SROM) toward real-scale ESS is developed to capture battery TR and fire propagation behavior. Wherein, meshless methods are implemented for battery cluster by constructing thermal resistance network to simulate heat generation and transfer, which simultaneously couples a mass flowing network to address gas generation and subsequent jet. Full-order CFD model is adopted to simulate burning behavior in external fluid with higher precision. This model can accurately capture cross-scale parameters, including temperature evolution at cell-level and heat release rates (HRR) at system-level, as confirmed by experiments. Simulation results elucidate the failure propagation mode and mechanism from cell-to-cell to module-to-module levels. The significant impact of triggering position on fire behavior is also revealed that TR originating from the cluster center causes rapider fire growth and larger peak HRR during fire propagation. The SROM covers entire phenomena chain from cell-level to system-level, which can serve as new guidelines for designing and running safer ESS.

Suggested Citation

  • 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).
  • Handle: RePEc:eee:rensus:v:186:y:2023:i:c:s1364032123005294
    DOI: 10.1016/j.rser.2023.113672
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    as
    1. Huang, Zonghou & Liu, Jialong & Zhai, Hongju & Wang, Qingsong, 2021. "Experimental investigation on the characteristics of thermal runaway and its propagation of large-format lithium ion batteries under overcharging and overheating conditions," Energy, Elsevier, vol. 233(C).
    2. Liu, X. & Liu, X.C. & Xie, C. & Ma, X., 2023. "Impacts of photovoltaic and energy storage system adoption on public transport: A simulation-based optimization approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 181(C).
    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. Kang, Sungwook & Kwon, Minjae & Yoon Choi, Joung & Choi, Sengkwan, 2023. "Full-scale fire testing of battery electric vehicles," Applied Energy, Elsevier, vol. 332(C).
    5. Jia, Zhuangzhuang & Song, Laifeng & Mei, Wenxin & Yu, Yin & Meng, Xiangdong & Jin, Kaiqiang & Sun, Jinhua & Wang, Qingsong, 2022. "The preload force effect on the thermal runaway and venting behaviors of large-format prismatic LiFePO4 batteries," Applied Energy, Elsevier, vol. 327(C).
    6. Zhao, Chunyang & Andersen, Peter Bach & Træholt, Chresten & Hashemi, Seyedmostafa, 2023. "Grid-connected battery energy storage system: a review on application and integration," Renewable and Sustainable Energy Reviews, Elsevier, vol. 182(C).
    7. 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).
    8. 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).
    9. 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).
    10. 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).
    11. 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.
    12. Mao, Binbin & Liu, Chaoqun & Yang, Kai & Li, Shi & Liu, Pengjie & Zhang, Mingjie & Meng, Xiangdong & Gao, Fei & Duan, Qiangling & Wang, Qingsong & Sun, Jinhua, 2021. "Thermal runaway and fire behaviors of a 300 Ah lithium ion battery with LiFePO4 as cathode," Renewable and Sustainable Energy Reviews, Elsevier, vol. 139(C).
    13. Rezaeimozafar, Mostafa & Monaghan, Rory F.D. & Barrett, Enda & Duffy, Maeve, 2022. "A review of behind-the-meter energy storage systems in smart grids," Renewable and Sustainable Energy Reviews, Elsevier, vol. 164(C).
    14. Ouyang, Nan & Zhang, Wencan & Yin, Xiuxing & Li, Xingyao & Xie, Yi & He, Hancheng & Long, Zhuoru, 2023. "A data-driven method for predicting thermal runaway propagation of battery modules considering uncertain conditions," Energy, Elsevier, vol. 273(C).
    15. 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).
    16. Zhou, Zhizuan & Zhou, Xiaodong & Ju, Xiaoyu & Li, Maoyu & Cao, Bei & Yang, Lizhong, 2023. "Experimental study of thermal runaway propagation along horizontal and vertical directions for LiFePO4 electrical energy storage modules," Renewable Energy, Elsevier, vol. 207(C), pages 13-26.
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