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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Karina Masalkovaitė, Paul Gasper, Donal P. Finegan
Μορφή: Άρθρο
Γλώσσα:English
Έκδοση: Nature Portfolio 2024-09-01
Σειρά:Nature Communications
Διαθέσιμο Online:https://doi.org/10.1038/s41467-024-52653-3

Παρόμοια τεκμήρια

Παρόμοια τεκμήρια