Modelling and understanding the role of particles in vented thermal runaway in confined battery modules and packs

In recent years, safety concerns surrounding electric vehicles have intensified due to incidents involving battery thermal runaway (TR). Computational modelling has emerged as an effective tool for studying vented TR events. However, few studies have examined the behaviour of multiphase flow and heat transfer in vented ejecta within realistic confined battery module or pack environments. This study presents a numerical model that has been developed and validated to investigate the multiphase dynamics of vented ejecta in a confined configuration. The model captures both the gas and particle phases, and its accuracy is verified using independently published experimental data. The results show that the ejecta undergoes a two-stage process involving an initial rapid spreading phase that heats the internal void space, followed by a stable cooling phase. Solid particles have been found to have a significant impact on ejecta dispersion, temperature distribution and gas mixing. Key particle characteristics, including residence time and dispersion distance, strongly affect the thermal response. Sensitivity analyses were conducted on particle size, mass loading, the specific heat-to-density ratio ( C p / ρ ), restitution coefficient and wall stick probability. The findings indicate that larger particles, a lower C p / ρ ratio, greater wall stick probability and smaller restitution coefficients are factors that reduce thermal and gas-related hazards. Conversely, smaller particle mass loading results in fewer thermal hazards but more gas hazards. This study advances the understanding of ejecta behaviour during TR and provides guidance for the design of safer battery systems and the development of future safety standards. • Developed a multiphase model of thermal runaway ejecta flow in confined battery systems. • Investigated the impact of ejecta dynamics on battery system safety during failure events. • Performed sensitivity analysis on key ejecta parameters affecting system safety. • Provided safety design recommendations based on multiphase flow behaviour.

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Publication Details

Journal
Journal of Energy Storage
Published
2025-10-31
DOI
https://doi.org/10.1016/j.est.2025.119235
Citations
1
Primary Topic
Advanced Battery Technologies Research
Type
article
Field-Weighted Citation Impact
0.68
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article

Modelling and understanding the role of particles in vented thermal runaway in confined battery modules and packs

Wensheng Huang, Gregory J. Offer, Huizhi Wang
1 citations
Journal of Energy Storage
Advanced Battery Technologies Research
0.68
article

Modelling and understanding the role of particles in vented thermal runaway in confined battery modules and packs

Wensheng Huang, Gregory J. Offer, Huizhi Wang
article en
1 citations

Abstract

In recent years, safety concerns surrounding electric vehicles have intensified due to incidents involving battery thermal runaway (TR). Computational modelling has emerged as an effective tool for studying vented TR events. However, few studies have examined the behaviour of multiphase flow and heat transfer in vented ejecta within realistic confined battery module or pack environments. This study presents a numerical model that has been developed and validated to investigate the multiphase dynamics of vented ejecta in a confined configuration. The model captures both the gas and particle phases, and its accuracy is verified using independently published experimental data. The results show that the ejecta undergoes a two-stage process involving an initial rapid spreading phase that heats the internal void space, followed by a stable cooling phase. Solid particles have been found to have a significant impact on ejecta dispersion, temperature distribution and gas mixing. Key particle characteristics, including residence time and dispersion distance, strongly affect the thermal response. Sensitivity analyses were conducted on particle size, mass loading, the specific heat-to-density ratio ( C p / ρ ), restitution coefficient and wall stick probability. The findings indicate that larger particles, a lower C p / ρ ratio, greater wall stick probability and smaller restitution coefficients are factors that reduce thermal and gas-related hazards. Conversely, smaller particle mass loading results in fewer thermal hazards but more gas hazards. This study advances the understanding of ejecta behaviour during TR and provides guidance for the design of safer battery systems and the development of future safety standards. • Developed a multiphase model of thermal runaway ejecta flow in confined battery systems. • Investigated the impact of ejecta dynamics on battery system safety during failure events. • Performed sensitivity analysis on key ejecta parameters affecting system safety. • Provided safety design recommendations based on multiphase flow behaviour.

Journal of Energy StorageVol. 141
The Faraday Institution (GB), Imperial College London (GB)
Openalex Percentile: Top 24%
Advanced Battery Technologies Research
0.68
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