Predicting the evolution of flammable gases during Li-ion battery thermal runaway using micro-kinetic modelling

Bugryniec, P. orcid.org/0000-0003-3494-5646, Vernuccio, S. and Brown, S. (Accepted: 2023) Predicting the evolution of flammable gases during Li-ion battery thermal runaway using micro-kinetic modelling. In: 33rd European Symposium on Computer Aided Process Engineering. 33rd European Symposium on Computer-Aided Process Engineering (ESCAPE-33), 18-21 Jun 2023, Athens, Greece. Computer Aided Chemical Engineering, 52 . Elsevier , pp. 1075-1080. ISBN 9780443235535

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2023 Elsevier B.V.
Keywords: Reaction network analysis; Hazard prediction; Dimethyl carbonate; Lower explosion limit; Thermal decomposition
Dates:
  • Accepted: 2023
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Chemical and Biological Engineering (Sheffield)
Funding Information:
FunderGrant number
THE FARADAY INSTITUTIONUNSPECIFIED
Depositing User: Symplectic Sheffield
Date Deposited: 07 Jul 2023 09:17
Last Modified: 07 Jul 2023 09:17
Status: Published
Publisher: Elsevier
Series Name: Computer Aided Chemical Engineering
Refereed: Yes
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