Presented By: Institute for Energy Solutions
IES Energy Seminar Series - Battery SoX Intelligence: Millivolts Unlocking Gigawatt-hours
Kandler Smith, Moment Energy
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.
For the most up to date information on the location, please check the related link the week of this event
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.
For the most up to date information on the location, please check the related link the week of this event
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