Identification of a PEMFC fractional order model

Abstract : Available online xxx Keywords: Polymer Electrolyte Membrane Fuel Cell PEMFC fractional order model FC parameter identification Diagnosis a b s t r a c t The present paper addresses the important issue of monitoring the operating state of the Polymer Electrolyte Membrane Fuel Cell systems. The monitoring system takes a model based approach. Its originality lies in adopting a fuel cell fractional order impedance model which permits to provide a better insight into the fuel cell physical phenomena without increasing the number of parameters. This article first validates experimentally the accuracy of the suggested model, using a frequency identification method carried out by nonlinear optimization using single fuel cell experimental impedance spectroscopy data. In a second phase, time series identification is achieved using a least square method specifically designed for fractional order models. The latter method is first verified on registered data which represents a basic tool for offline monitoring. Subsequently it is refined as a recursive tool permitting an online monitoring; it is validated on laboratory test bench.
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Miassa Taleb, Olivier Béthoux, Emmanuel Godoy. Identification of a PEMFC fractional order model. International Journal of Hydrogen Energy, Elsevier, 2016, 42 (2), pp.1499-1509. ⟨10.1016/j.ijhydene.2016.07.056⟩. ⟨hal-01385072⟩

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