Aging matrix visualizes complexity of battery aging across hundreds of cycling protocols
Energy Environ. Sci., 2025, Advance ArticleDOI: 10.1039/D4EE05609D, Paper Open Access   This article is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported Licence.Bruis van Vlijmen, Vivek N. Lam, Patrick A. Asinger, Xiao Cui, Joachim Schaeffer, Alexis Geslin, Devi Ganapathi, Shijing Sun, Patrick K. Herring, Chirranjeevi Balaji Gopal, Natalie Geise, Haitao D. Deng, Henry L. Thaman, Stephen Dongmin Kang, Steven B. Torrisi, Amalie Trewartha, Abraham Anapolsky, Brian D. Storey, William E. Gent, Richard D. Braatz, William C. ChuehData-driven interpretation of battery degradation visually summarizes the relationship between 16 state-of-health metrics and aging, facilitating users in simplifying large datasets and identifying key degradation regimes for further experimentation.To cite this article before page numbers are assigned, use the DOI form of citation above.The content of this RSS Feed (c) The Royal Society of Chemistry
DOI: 10.1039/D4EE05609D, Paper


Data-driven interpretation of battery degradation visually summarizes the relationship between 16 state-of-health metrics and aging, facilitating users in simplifying large datasets and identifying key degradation regimes for further experimentation.
To cite this article before page numbers are assigned, use the DOI form of citation above.
The content of this RSS Feed (c) The Royal Society of Chemistry