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...
| Huvudupphovsmän: | , , |
|---|---|
| Materialtyp: | Artikel |
| Språk: | English |
| Publicerad: |
Nature Portfolio
2024-09-01
|
| Serie: | Nature Communications |
| Länkar: | https://doi.org/10.1038/s41467-024-52653-3 |