Abstract
The knowledge of the electrochemical processes inside a Fuel Cell (FC) is useful for improving FC diagnostics, and Electrochemical Impedance Spectroscopy (EIS) is one of the most used techniques for electrochemical characterization. This paper aims to propose the identification of a Fractional-Order Transfer Function (FOTF) able to represent the FC behavior in a set of working points. The model was identified by using a data-driven approach. Experimental data were obtained testing a Proton Exchange Membrane Fuel Cell (PEMFC) to measure the cell impedance. A genetic algorithm was firstly used to determine the sets of fractional-order impedance model parameters that best fit the input data in each analyzed working point. Then, a method was proposed to select a single set of parameters, which can represent the system behavior in all the considered working conditions. The comparison with an equivalent circuit model taken from the literature is reported, showing the advantages of the proposed approach.
Highlights
Nowadays, the environmental problems and the depleting of fossil fuels and natural gas have led to the development of new solutions in the energy field [1]
Huaxin Lu et al [7] proposed a method for Proton Exchange Membrane Fuel Cell (PEMFC) fault diagnosis, using a fast Electrochemical Impedance Spectroscopy (EIS) measurement system for on-line monitoring, and Zhiani et al [8] studied the effect of MEA activation under low and high thermal and pressure stresses by EIS spectra
A new model was proposed to describe the behavior of a PEM fuel cell for a set of currents, by means of a single Fractional-Order Transfer Function
Summary
The environmental problems and the depleting of fossil fuels and natural gas have led to the development of new solutions in the energy field [1]. For this reason, hydrogen technology, where renewable sources, i.e., wind energy [2] or solar energy [3], will be used to generate hydrogen and electricity as energy carriers. To propose a valid alternative to technologies such as internal combustion engines, it is essential to carry out strategies for improving FC diagnostics, and the Electrochemical Impedance Spectroscopy (EIS) is an effective technique for the knowledge of the degradation status of systems such as fuel cells [4] and batteries [5,6].
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