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...

Полное описание

Библиографические подробности
Главные авторы: Karina Masalkovaitė, Paul Gasper, Donal P. Finegan
Формат: Статья
Язык:English
Опубликовано: Nature Portfolio 2024-09-01
Серии:Nature Communications
Online-ссылка:https://doi.org/10.1038/s41467-024-52653-3