Predicting the heat release variability of Li-ion cells under thermal runaway with few or no calorimetry data

Predicting the heat release variability of Li-ion cells under thermal runaway with few or no calorimetry data

Abstract Accurate measurement of the variability of thermal runaway behavior of lithium-ion cells is critical for designing safe battery systems. However, experimentally determining such variability is challenging, expensive, and time-consuming. Here, we utilize a transfer learning approach to accur...

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Bibliografiske detaljer
Main Authors:	Karina Masalkovaitė, Paul Gasper, Donal P. Finegan
Format:	Article
Sprog:	English
Udgivet:	Nature Portfolio 2024-09-01
Serier:	Nature Communications
Online adgang:	https://doi.org/10.1038/s41467-024-52653-3

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