Impedance measurement methods for assessing the performance of Fuel Cells and Li-ion batteries in on-board applications

This study focuses on the characterization of fuel cells and batteries to assess their State of Health (SoH) using electrochemical impedance spectroscopy (EIS) in an on-board setting. The characterization methods include both active and passive EIS techniques, complemented by robust signal processing algorithms. Initial simulation results demonstrate the potential of impedance analysis for accurate SoH estimation. In addition, the implementation on a Texas Instruments board highlights the practical challenges associated with real-time programming, paving the way for future optimization and deployment in realworld applications.