Fuel Cell Fractional-Order Model via Electrochemical Impedance Spectroscopy

The knowledge of the electrochemical processes inside a Fuel Cell (FC) is useful for improving FC diagnostics, and Electrochemical Impedance Spectroscopy (EIS) one most used techniques characterization. This paper aims to propose identification Fractional-Order Transfer Function (FOTF) able represent behavior in set working points. model was identified by using data-driven approach. Experimental data were obtained testing Proton Exchange Membrane (PEMFC) measure cell impedance. A genetic algorithm firstly determine sets fractional-order impedance parameters that best fit input each analyzed point. Then, method proposed select single parameters, which can system all considered conditions. comparison with an equivalent circuit taken from literature reported, showing advantages