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Modelling and experiments to identify high-risk failure scenarios for testing the safety of lithium-ion cells

Finegan, DP; Darst, J; Walker, W; Li, Q; Yang, C; Jervis, R; Heenan, TMM; ... Darcy, E; + view all (2019) Modelling and experiments to identify high-risk failure scenarios for testing the safety of lithium-ion cells. Journal of Power Sources , 417 pp. 29-41. 10.1016/j.jpowsour.2019.01.077. Green open access

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Abstract

Intentionally inducing worst-case thermal runaway scenarios in Li-ion cells on-demand is a definitive way to test the efficacy of battery systems in safely mitigating the consequences of catastrophic failure. An internal shortcircuiting (ISC) device is implanted into three 18650 cell designs: one standard, one with a bottom vent, and one with a thicker casing. Through an extensive study of 228 cells, the position at which thermal runaway initiates is shown to greatly affect the tendency of cells to rupture and incur side-wall breaches at specific locations. The risks associated with each failure mechanism and position of the ISC device are quantified using a custom calorimeter that can decouple the heat from ejected and non-ejected contents. Causes of high-risk failure mechanisms, such as bursting and side-wall breaches, are elucidated using high-speed synchrotron X-ray imaging at 2000 frames per second and image-based 3D thermal runaway computational models, which together are used to construct a comprehensive description of external risks based on internal structural and thermal phenomena.v

Type: Article
Title: Modelling and experiments to identify high-risk failure scenarios for testing the safety of lithium-ion cells
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.jpowsour.2019.01.077
Publisher version: https://doi.org/10.1016/j.jpowsour.2019.01.077
Language: English
Additional information: Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/BY/4.0/)
Keywords: Li-ion battery, Calorimetry, Thermal runaway, Modelling, X-ray imaging
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Chemical Engineering
URI: https://discovery.ucl.ac.uk/id/eprint/10069640
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