Generation of Statistical Descriptors for Running PEM Fuel Cell Stack by Means of Long-Time Electrochemical Noise Measurements

Anthony Thomas (1) , Nikolaï Adiutantov (2) , Eugenii Denisov (2) , Yu Evdokimov (2) , Daniel Hissel (3) , Sergueï Martemianov (1)

1 PPrime [Poitiers] - Institut Pprime [UPR 3346]
2 KNRTU-KAI - Kazan National Research Technical University
3 FEMTO-ST - Franche-Comté Électronique Mécanique, Thermique et Optique - Sciences et Technologies (UMR 6174)

Electrochemical noise (EN) measurements have been provided with PEM fuel cell stack of 600 W nominal power. These measurements demonstrate that EN can be used as a tool for diagnostics of possible faults in long-term running of electrochemical sources of energy. The noise measurements were performed in well controlled operational conditions during 100 h. Robust and stable statistical noise descriptors of the stack have been obtained both in frequency and time domains. The spectral noise signature of the stack based has been obtained in the frequency range 0.1 <

Domaines: Energie électrique; Thermique [physics.class-ph]; Automatique / Robotique; Mécanique des fluides [physics.class-ph]

Anthony Thomas, Nikolaï Adiutantov, Eugenii Denisov, Yu Evdokimov, Daniel Hissel, et al.. Generation of Statistical Descriptors for Running PEM Fuel Cell Stack by Means of Long-Time Electrochemical Noise Measurements. Nanobiotechnology Reports, 2021, 16 (3), pp.222 - 230. ⟨10.1134/S2635167621020166⟩. ⟨hal-03359955⟩