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...

Ausführliche Beschreibung

Bibliographische Detailangaben
Hauptverfasser: Karina Masalkovaitė, Paul Gasper, Donal P. Finegan
Format: Artikel
Sprache:English
Veröffentlicht: Nature Portfolio 2024-09-01
Schriftenreihe:Nature Communications
Online Zugang:https://doi.org/10.1038/s41467-024-52653-3

Ähnliche Einträge

Ähnliche Einträge