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Computational modelling of thermal runaway propagation potential in lithium iron phosphate battery packs

descriptionPublicationkeyboard_double_arrow_right Article , Journal 01 May 2020Publisher:Elsevier BVJournal:Energy Reports, volume 6, pages 189-197 (issn: 2352-4847,

Authors: Peter J. Bugryniec; Jonathan N. Davidson; Solomon Brown;

doi: 10.1016/j.egyr.2020.03.024

Computational modelling of thermal runaway propagation potential in lithium iron phosphate battery packs

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Abstract

It is widely accepted that Lithium-Iron Phosphate (LFP) cathodes are the safest chemistry for Li-ion cells, however the study of them assembled in to battery modules or packs is lacking. Hence, this work provides the first computational study investigating the potential of thermal runaway propagation (TRP) in packs constructed of LFP 18650 cells. Utilizing a 2D model of a battery pack in which one cell is assumed to experience an internal short circuit, it is found that TRP does not occur even under extreme environmental conditions. This shows the potential that LFP cells have at enabling safe and abuse resilient large scale batteries.

Related Organizations

University of Sheffield
United Kingdom

Keywords

Thermal runaway, Lithium-ion batteries, Electrical engineering. Electronics. Nuclear engineering, Battery safety, Battery hazards, TK1-9971

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	31
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%