Hotspots in Lithium-Ion Battery Pouch Cells: Models and Bounds

Lithium-ion batteries have grown larger in recent years in response to the need to increase pack-level energy densities. One of the main issues that emerges in these large format cells are heterogeneities. In particular, temperature hotspots in large pouch cells have been shown to influence degradation rates and fast charging limits. Motivated by these issues, this paper proposes computationally efficient models and bounds to characterise thermal hotspots in pouch cells. The models are validated against experimental data and shown to capture the spread in temperature across the pouch cell. The bounds exploit external positivity of the underlying system to improve scalability and are shown to be tight under constant current cycling. Through these results, bounds for the maximum temperature a pouch cell will experience during an arbitrary use-profile can be computed at scale and so be used to support battery safety and control.

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Publication Details

Published
2025-08-25
DOI
https://doi.org/10.1109/ccta53793.2025.11151280
Primary Topic
Advanced Battery Technologies Research
Type
article
Field-Weighted Citation Impact
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article

Hotspots in Lithium-Ion Battery Pouch Cells: Models and Bounds

Chris Guiver, Matthew C. Turner, Stephen Duncan, Ross Drummond et al.
Advanced Battery Technologies Research
article

Hotspots in Lithium-Ion Battery Pouch Cells: Models and Bounds

Chris Guiver, Matthew C. Turner, Stephen Duncan, Ross Drummond, E. C. Tredenick
article en

Abstract

Lithium-ion batteries have grown larger in recent years in response to the need to increase pack-level energy densities. One of the main issues that emerges in these large format cells are heterogeneities. In particular, temperature hotspots in large pouch cells have been shown to influence degradation rates and fast charging limits. Motivated by these issues, this paper proposes computationally efficient models and bounds to characterise thermal hotspots in pouch cells. The models are validated against experimental data and shown to capture the spread in temperature across the pouch cell. The bounds exploit external positivity of the underlying system to improve scalability and are shown to be tight under constant current cycling. Through these results, bounds for the maximum temperature a pouch cell will experience during an arbitrary use-profile can be computed at scale and so be used to support battery safety and control.

University of Canberra (AU), Edinburgh Napier University (GB), University of Oxford (GB), Science Oxford (GB), University of Southampton (GB), University of Sheffield (GB)
Openalex Percentile: Top 74%
Advanced Battery Technologies Research
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