Non-Invasive Identification of Half-Cell Open-Circuit Potentials for Advanced Battery Electrochemical Models

Accurate half-cell open-circuit potential functions are essential for physics-based battery models but are traditionally obtained through invasive and time-consuming procedures. This work introduces a systematic procedure that reconstructs half-cell potentials from full-cell voltage data, differential capacity analysis, and prior knowledge of stoichiometrically constrained open-circuit potential trust regions, eliminating the need for cell teardown. Validation against reference values demonstrates high accuracy, offering a non-invasive and scalable solution to accelerate the adoption of advanced electrochemical models to enhance battery performance.