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...
Main Authors: | Karina Masalkovaitė, Paul Gasper, Donal P. Finegan |
---|---|
פורמט: | Article |
שפה: | English |
יצא לאור: |
Nature Portfolio
2024-09-01
|
סדרה: | Nature Communications |
גישה מקוונת: | https://doi.org/10.1038/s41467-024-52653-3 |
פריטים דומים
-
Evaluation of the Thermal Runaway Decomposition of Cumene Hydroperoxide by Adiabatic Calorimetry
מאת: O.J. Reyes Valdes, et al.
יצא לאור: (2015-05-01) -
Methodology for Pyrolysis-induced Thermal Runaway
Analysis in Li-ion Batteries
מאת: Ramadan, Mahmoud M.
יצא לאור: (2023) -
Transfer learning prediction on lithium-ion battery heat release under thermal runaway condition
מאת: Changmin Shi, et al.
יצא לאור: (2024-12-01) -
Effects of Overdischarge Rate on Thermal Runaway of NCM811 Li-Ion Batteries
מאת: Dong Wang, et al.
יצא לאור: (2020-07-01) -
Research Progress in Thermal Runaway Vent Gas Characteristics of Li-Ion Battery
מאת: Mingming Qiu, et al.
יצא לאור: (2023-08-01)