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
Li-ion batteries are a widely used electrochemical energy storage device. But, catastrophic failure via thermal runaway leads to great flammability and toxicity hazards. As such, there is a need to better understand the thermal runaway process. In doing so, reducing its occurrence and improving predictions of its hazards. To achieve this, we aim to develop a more detailed model of thermal runaway. This is based on fundamental reaction theory. Micro-kinetic modelling techniques are applied to predict the kinetic evolution of the reacting systems on a mechanistic level, based on a detailed analysis of the elementary reaction steps. Using this methodology, we simulate the thermal decomposition of dimethyl carbonate, as a model electrolyte solvent, and predict the product species present in the off-gas. We also investigate the impact of the temperature on the composition of the off-gas and the lower flammability limit. This demonstrates a method for predictive hazard assessments of Li-ion battery failure. For the DMC case study, we show that the LFL increases with increasing the operating temperature due to the large proportion of CO2 generated. This effectively makes the off-gas safer in terms of explosion hazards. Further work will extend this methodology to construct the reaction systems for a complete Li-ion cell.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2023 Elsevier B.V. |
Keywords: | Reaction network analysis; Hazard prediction; Dimethyl carbonate; Lower explosion limit; Thermal decomposition |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Chemical and Biological Engineering (Sheffield) |
Funding Information: | Funder Grant number THE FARADAY INSTITUTION UNSPECIFIED |
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 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:201282 |