Sodium-ion batteries are emerging as a promising low-cost alternative to lithium-ion batteries, but their performance strongly depends on material and transport properties that are not directly measurable from standard tests. This project focuses on developing a physics-based computer model of a sodium-ion cell that can realistically predict voltage, capacity, and rate performance under different operating conditions. The student will use experimental charge–discharge data to extract key parameters—such as reaction kinetics and ion transport behavior—and embed them into a well-established battery model. The outcome will be a "digital twin" of a sodium-ion cell that helps explain performance limitations and guides better cell design, making the project highly relevant for both academic research and industrial battery development.