LAPSE:2019.1294
Published Article
LAPSE:2019.1294
Prediction of Lithium-ion Battery Thermal Runaway Propagation for Large Scale Applications Fire Hazard Quantification
December 9, 2019
The high capacity and voltage properties demonstrated by lithium-ion batteries render them as the preferred energy carrier in portable electronic devices. The application of the lithium-ion batteries which previously circulating and contained around small-scale electronics is now expanding into large scale emerging markets such as electromobility and stationary energy storage. Therefore, the understanding of the risk involved is imperative. Thermal runaway is the most common failure mode of lithium-ion battery which may lead to safety incidents. Transport process of immense amounts of heat released during thermal runaway of lithium-ion battery to neighboring batteries in a module can lead to cascade failure of the whole energy storage system. In this work, a model is developed to predict the propagation of lithium-ion battery in a module for large scale applications. For this purpose, kinetic of material thermal decomposition is combined with heat transfer modelling. The simulation is built based on chemical kinetics at component level of a singular cell and energy balance that accounts for conductive and convective heat transfer.
Keywords
cascade failure, fire and explosion, lithium-ion battery, thermal runaway propagation
Suggested Citation
Md Said MS, Mohd Tohir MZ. Prediction of Lithium-ion Battery Thermal Runaway Propagation for Large Scale Applications Fire Hazard Quantification. (2019). LAPSE:2019.1294
Author Affiliations
Md Said MS: Safety Engineering Interest Group, Department of Chemical and Environmental Engineering, Faculty of Engineering, Universiti Putra Malaysia, 43400 Serdang, Selangor Darul Ehsan, Malaysia [ORCID]
Mohd Tohir MZ: Safety Engineering Interest Group, Department of Chemical and Environmental Engineering, Faculty of Engineering, Universiti Putra Malaysia, 43400 Serdang, Selangor Darul Ehsan, Malaysia [ORCID]
Journal Name
Processes
Volume
7
Issue
10
Article Number
E703
Year
2019
Publication Date
2019-10-05
Published Version
ISSN
2227-9717
Version Comments
Original Submission
Other Meta
PII: pr7100703, Publication Type: Journal Article
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LAPSE:2019.1294
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doi:10.3390/pr7100703
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Dec 9, 2019
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CC BY 4.0
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[v1] (Original Submission)
Dec 9, 2019
 
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Dec 9, 2019
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https://psecommunity.org/LAPSE:2019.1294
 
Original Submitter
Calvin Tsay
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