Abstract:
Scaling grid storage with repurposed EV batteries requires precise degradation tracking. For LFP, a flat open-circuit voltage curve obscures cell aging. This presentation demonstrates how monitoring millivolt-level behaviors extracts gigawatt-hours of latent capacity. By combining physics-informed models with electrochemical state estimation, we resolve LFP and graphite phase-transitions. Operational data shows how these voltage signatures drive predictive aging forecasts and anomaly detection, unlocking safe operation beyond industry-standard warranties.
Biography:
Dr. Kandler Smith is Technical Fellow for Energy Storage Modeling at Moment Energy, a second-use battery energy storage company. He previously worked for 19 years at U.S. DOE’s National Renewable Energy Laboratory as Team Lead for Electrochemical Modeling & Data Sciences, developing multi-physics models of battery performance, lifetime, safety and technoeconomics. He holds a PhD in mechanical engineering from Penn State University (2006) where his research focused on electrochemical modeling, estimation and control of lithium-ion batteries.