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• W2558090979 abstract "<p>The objective of this paper is the PEM fuel cell impedance model parameters<strong> </strong>identification. This work is a part of a larger work which is the diagnosis of the fuel cell which deals with the optimization and the parameters identification of the impedance complex model of the Nexa Ballard 1200 W PEM fuel cell. The method used for the identification is a sample genetic algorithm and the proposed impedance model is based on electric parameters, which will be found from a sweeping of well determined frequency bands. In fact, the frequency spectrum is divided into bands according to the behavior of the fuel cell. So, this work is considered a first in the field of impedance spectroscopy So, this work is considered a first in the field of impedance spectroscopy. Indeed, the identification using genetic algorithm requires experimental measures of the fuel cell impedance to optimize and identify the impedance model parameters values. This method is characterized by a good precision compared to the numeric methods. The obtained results prove the effectiveness of this approach.</p>" @default.
• W2558090979 created "2016-12-08" @default.
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• W2558090979 date "2017-02-01" @default.
• W2558090979 modified "2023-10-17" @default.
• W2558090979 title "Fuel Cell Impedance Model Parameters Optimization using a Genetic Algorithm" @default.
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• W2558090979 doi "https://doi.org/10.11591/ijece.v7i1.pp184-193" @default.
• W2558090979 hasPublicationYear "2017" @default.
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