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Prediction of Lithium-ion Battery Thermal Runaway Propagation for Large Scale Applications Fire Hazard Quantification

Safety Engineering Interest Group, Department of Chemical and Environmental Engineering, Faculty of Engineering, Universiti Putra Malaysia, 43400 Serdang, Selangor Darul Ehsan, Malaysia
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Processes 2019, 7(10), 703; https://doi.org/10.3390/pr7100703
Received: 19 July 2019 / Revised: 23 August 2019 / Accepted: 26 August 2019 / Published: 5 October 2019
(This article belongs to the Special Issue Thermal Safety of Chemical Processes)
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. View Full-Text
Keywords: thermal runaway propagation; lithium-ion battery; cascade failure; fire and explosion thermal runaway propagation; lithium-ion battery; cascade failure; fire and explosion
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Md Said, M.S.; Mohd Tohir, M.Z. Prediction of Lithium-ion Battery Thermal Runaway Propagation for Large Scale Applications Fire Hazard Quantification. Processes 2019, 7, 703.

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