主管:中华人民共和国应急管理部
主办:应急管理部天津消防研究所
ISSN 1009-0029  CN 12-1311/TU

Fire Science and Technology ›› 2026, Vol. 45 ›› Issue (4): 43-49.

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Numerical simulation and analysis of electric vehicle fire isolation and mitigation based on FDS

Zhu Xianli1,2,3, Zhang Jiaqing1,2,3, Rong Fengyi4,5, Li Guohui4,5, Guo Yi1,2,3   

  1. (1. State Grid Anhui Electric Power Research Institute, Hefei Anhui 230601, China;2. Anhui Province Key Laboratory of Electric Fire and Safety Protection, Hefei Anhui 230022, China;3. Fire Protection Technology Center of State Grid Corporation of China, Hefei Anhui 230601, China; 4. Tianjin Fire Science and Technology Research Institute of MEM, Tianjin 300381, China; 5. Key Laboratory of Fire Protection Technology for Industry and Public Building, Ministry of Emergency Management, Tianjin 300381, China)
  • Received:2024-12-31 Revised:2025-06-17 Online:2026-04-15 Published:2026-04-15

Abstract: This study addresses the prevention and control requirements of electric vehicle fires by using FDS software to construct a numerical model. Three scenarios were established: no suppression with water mist, overhead water mist application, and water mist wall suppression. The study investigates the heat release rate, smoke diffusion, and temperature field changes of fires caused by thermal runaway of lithium-ion batteries under different water mist isolation and suppression measures. Results indicate that without water mist suppression, the maximum temperature can reach 1 138 °C, with a peak heat release rate of 8.4 MW. Water mist fire suppression systems and water mist walls can effectively inhibit lithium battery thermal runaway. After applying water mist, the overall temperature is controlled within 200 °C, effectively preventing the spread of fire and reducing the impact on surrounding vehicles and facilities. This study analyzes the effectiveness of water mist in controlling lithium battery thermal runaway, verifying its role in reducing fire intensity, delaying fire development, and protecting the surrounding environment. The findings provide data support for optimizing the design and application of water mist fire suppression systems in electric vehicle fires.

Key words: electric vehicles, thermal runaway, isolation and mitigation, numerical simulation, fire prevention and control