Degradation path prediction of lithium-ion batteries under dynamic operating sequences
Energy Environ. Sci., 2025, 18,3784-3794DOI: 10.1039/D4EE04787G, Paper Open Access   This article is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported Licence.Inwoo Kim, Hyunjae Kim, Seongha An, Jihoon Oh, Minsoo Kim, Jang Wook ChoiA framework is proposed for accurately predicting the future aging pathways of lithium-ion batteries operated under dynamic conditions by utilizing their path-dependent degradation characteristics.The content of this RSS Feed (c) The Royal Society of Chemistry
Energy Environ. Sci., 2025, 18,3784-3794
DOI: 10.1039/D4EE04787G, Paper
DOI: 10.1039/D4EE04787G, Paper
Open Access
This article is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported Licence.Inwoo Kim, Hyunjae Kim, Seongha An, Jihoon Oh, Minsoo Kim, Jang Wook Choi
A framework is proposed for accurately predicting the future aging pathways of lithium-ion batteries operated under dynamic conditions by utilizing their path-dependent degradation characteristics.
The content of this RSS Feed (c) The Royal Society of Chemistry
A framework is proposed for accurately predicting the future aging pathways of lithium-ion batteries operated under dynamic conditions by utilizing their path-dependent degradation characteristics.
The content of this RSS Feed (c) The Royal Society of Chemistry
