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• W2524663677 abstract "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." @default.
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• W2524663677 date "2017-01-01" @default.
• W2524663677 modified "2023-09-25" @default.
• W2524663677 title "Identification of a PEMFC fractional order model" @default.
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• W2524663677 doi "https://doi.org/10.1016/j.ijhydene.2016.07.056" @default.
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