Publications

Research articles and scholarly works
Early-cycle prediction of battery aging onset across chemistries
Tan X, Zeng N, Deng Y, Sun S, Rui B, Xu J
Journal of Energy Chemistry 10.1016/j.jechem.2025.01.035 (2025)
Accurately predicting the knee point cycle number, marking the onset of accelerated capacity degradation, is the first critical signal for managing lithium-ion battery life cycles in electric vehicles and stationary energy storage systems. However, the inherent electrochemo-mechanical-thermal complexities of battery aging present significant challenges for physics-based models and machine-learning models,...