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...
| Auteurs principaux: | , , |
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| Format: | Article |
| Langue: | English |
| Publié: |
Nature Portfolio
2024-09-01
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| Collection: | Nature Communications |
| Accès en ligne: | https://doi.org/10.1038/s41467-024-52653-3 |