Document Type: Article
Kazan National Research Technical University named after A.N. Tupolev-KAI, 10 K. Marx St., 420111, Kazan, Russian Federation
Institut Pprime, UPR 3346 CNRS, Universite de Poitiers, ENSMA, Batiment B25:2, Rue Pierre Brousse - TSA 41105 - 86073 POITIERS Cedex 9, France
This work considers the possibility of applying electrochemical noise analysis to fuel cell diagnostics. Theoretical hypothesis and experimental result have shown that spectral characteristics of electrical
fluctuations depend on water management processes inside the PEMFC. It has been established that the spectrum of electrical fluctuations in low frequency range has the nature of flicker noise. The frequency ranges of 0.1-1 Hz convenient for single cell as well as for stack diagnostics are revealed. The results show that the proposed approach can be considered as an effective tool to diagnose of fuel cells, namely allowing for prediction of drying and flooding.