Noël Hallemans
University of Oxford
Date: January 21, 2026
Time: 1000–1100h ET
Electrochemical impedance spectroscopy (EIS) offers rich insights into the physical processes within batteries—but how can these measurements directly inform physics-based models? Recent work presented in this webinar demonstrates how impedance data can be used to extract grouped parameters for physics-based models such as the Doyle-Fuller-Newman (DFN) model or the reduced-order single particle model with electrolyte (SPMe). (more…)


