A Coupled Thermal Runaway and Fire Dynamics Model for a 100 Ah Cylindrical Lithium-ion Battery Module

Abstract This study presents a coupled model incorporating a thermal propagation model and a fire model to investigate the fire safety of a large lithium-ion battery (Li-ion) module. The thermal propagation model employs a three-dimensional (3D) finite element method (FEM), while the fire model utilizes computational fluid dynamics (CFD). Literature data on material properties and thermal runaway characteristics of 18650 cells with Nickel-Manganese-Cobalt (NMC) chemistry, including the onset temperature of rapid thermal runaway (TR), maximum cell temperature, vent gas composition, and volume, are used as input data. Simulation results highlight that thermal convection serves as the dominant heat transfer mechanism, contributing over 50 % of the total heat flux driving TR propagation. TR propagation initiates gradually but accelerates rapidly in a string-wise pattern. The gas temperature inside the module significantly influences TR process through convective heat transfer. The computed heat release exhibits linear correlation with experimental values, but underpredicts total heat release by approximately a factor of three. This discrepancy is likely due to the omission of combustion of solid particles as well as heat release from ancillary components (e.g., cables, insulation in the module). The calculated total heat release correlates linearly with the cumulative number of cells entering TR, confirming that accurate TR propagation modelling is critical for reliable prediction of overall energy release.

Authors

Institutions

Publication Details

Journal
Fire Technology
Published
2026-06-09
DOI
https://doi.org/10.1007/s10694-026-01924-0
Primary Topic
Advanced Battery Technologies Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Coupled Thermal Runaway and Fire Dynamics Model for a 100 Ah Cylindrical Lithium-ion Battery Module

Chen Huang, Petra Andersson, Henrik Wretman
Fire Technology
Advanced Battery Technologies Research
article

A Coupled Thermal Runaway and Fire Dynamics Model for a 100 Ah Cylindrical Lithium-ion Battery Module

Chen Huang, Petra Andersson, Henrik Wretman
article en

Abstract

Abstract This study presents a coupled model incorporating a thermal propagation model and a fire model to investigate the fire safety of a large lithium-ion battery (Li-ion) module. The thermal propagation model employs a three-dimensional (3D) finite element method (FEM), while the fire model utilizes computational fluid dynamics (CFD). Literature data on material properties and thermal runaway characteristics of 18650 cells with Nickel-Manganese-Cobalt (NMC) chemistry, including the onset temperature of rapid thermal runaway (TR), maximum cell temperature, vent gas composition, and volume, are used as input data. Simulation results highlight that thermal convection serves as the dominant heat transfer mechanism, contributing over 50 % of the total heat flux driving TR propagation. TR propagation initiates gradually but accelerates rapidly in a string-wise pattern. The gas temperature inside the module significantly influences TR process through convective heat transfer. The computed heat release exhibits linear correlation with experimental values, but underpredicts total heat release by approximately a factor of three. This discrepancy is likely due to the omission of combustion of solid particles as well as heat release from ancillary components (e.g., cables, insulation in the module). The calculated total heat release correlates linearly with the cumulative number of cells entering TR, confirming that accurate TR propagation modelling is critical for reliable prediction of overall energy release.

Fire TechnologyVol. 62(4)
Lund University (SE), RISE Research Institutes of Sweden (SE), Swedish Orphan Biovitrum (Sweden) (SE)
Affordable and clean energy
Openalex Percentile: Top 10%
Advanced Battery Technologies Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A Coupled Thermal Runaway and Fire Dynamics Model for a 100 Ah Cylindrical Lithium-ion Battery Module — Chen Huang, Petra Andersson, et al. · Fire Technology (2026) | TGRS Research Map | TGRS