3 papers
eess.SY2026
StateFormer: A Multivariate Transformer for Learning History-Dependent Battery State Dynamics and Long-Horizon Health Forecasting
Zhe Bai, Stephen Harris
This paper introduces a novel multivariate Transformer \emph{StateFormer} that forecasts degradation dynamics of large-scale battery systems. The model learns across time scales, f…
physics.app-ph2026
SAGE: Synthetic Aging for a Grid Environment
Paolo Esquivel, Mark A. Harris, Stephen J. Harris
Grid-scale battery degradation unfolds over multi-year timescales under coupled electrochemical, thermal, and operational feedbacks difficult to capture using laboratory data or pr…
eess.SY2024
Extra Throughput versus Days Lost in load-shifting V2G services: Influence of dominant degradation mechanism
Hamidreza Movahedi, Sravan Pannala, Jason Siegel +3
Electric vehicle (EV) batteries are often underutilized. Vehicle-to-grid (V2G) services can tap into this unused potential, but increased battery usage may lead to more degradation…