Noël Hallemans University of Oxford Date: January 21, 2026 Time: 1000–1100h ET The Electrochemical Society hosted “Physics-based battery model parametrization from impedance data,” a live webinar by Noël Hallemans (University of Oxford), on January 21, 2026. A live Question and Answer session followed. Answers to some of the questions not addressed during the broadcast follow.
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).