E.S. Denisov - Ph.D. (Eng.), Associate Professor, Department of Radio-Electronic and Information and Measuring Technology, Kazan National Research Technical University named after A.N. Tupolev E-mail: ESDenisov@kai.ru A.Sh. Salakhova - Ph.D. (Eng.), Associate Professor, Department of Radio-Electronic and Information and Measuring Technology, Kazan National Research Technical University named after A.N. Tupolev E-mail: AShSalakhova@kai.ru N.A. Adiutantov - Post-graduate Student, Department of Radio-Electronic and Information and Measuring Technology, Kazan National Research Technical University named after A.N. Tupolev E-mail: nikolai.adiutantov@yandex.ru Yu.K. Evdokimov - Dr.Sc. (Phys.-Math.), Professor, Head of Department of Radio-Electronic and Information and Measuring Technology, Kazan National Research Technical University named after A.N. Tupolev E-mail: YuKEvdokimov@kai.ru

The article is dedicated to estimation of fuel cell electrical noise diagnostic capabilities. The method of the fuel-cell electrical fluctuation diagnostic features estimation is considered. The method is based on identification of the statistical dependencies between of electrical fluctuation and equivalent electrical circuit parameters. The statistical diagnostic dependencies between root-mean-square values of electrical fluctuations and the model parameters are established. It has been shown that electrical fluctuations of the hydrogen fuel cell have high diagnostic capabilities and could be used for estimation of the hydrogen fuel cell technical state.

 

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