Aging matrix visualizes complexity of battery aging across hundreds of cycling protocols
Bruis van Vlijmen, Vivek Lam, Patrick A. Asinger, Xiao Cui, Joachim Schaeffer, Alexis Geslin, Devi Ganapathi, Shijing Sun, Patrick K. Herring, Chirranjeevi Balaji Gopal, Natalie R. Geise, Haitao 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. Chueh
Abstract
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.
Topics & Concepts
Battery (electricity)CyclingDegradation (telecommunications)Key (lock)Computer scienceAccelerated agingReliability engineeringEngineeringComputer securityGeographyTelecommunicationsArchaeologyPhysicsQuantum mechanicsPower (physics)Advanced Battery Technologies ResearchAdvancements in Battery MaterialsAdvanced Battery Materials and Technologies