On the issue of the pemfc operating fault identification: generic analysis tool based on voltage pointwise singularity strengths

Djedjiga Benouioua (1) , Denis Candusso (2) , Fabien Harel (3) , P Picard (4) , Xavier Francois (5)

1 FEMTO-ST - Franche-Comté Électronique Mécanique, Thermique et Optique - Sciences et Technologies (UMR 6174)
2 IFSTTAR/COSYS/LTN - Laboratoire des Technologies Nouvelles
3 IFSTTAR/AME/LTE - Laboratoire Transports et Environnement
4 ENGIE E&P International [La Défense]
5 UTBM - Université de Technologie de Belfort-Montbeliard

The purpose of this article is to study the portability of a non-intrusive and free of any external / internal disturbance17 diagnosis tool devoted to the monitoring of the State of Health (SoH) of PEM Fuel Cell (PEMFC) stack. The tool is based on a 18 thorough analysis of the stack voltage signal using a multifractal formalism and wavelet leaders. It offers well-suited signatures 19 indicators on the SoH of the Fuel Cell. Some relevant descriptors extracted from these patterns (singularity features) are used in 20 the frame of Machine Learning approaches to allow the PEMFC fault identification. The proposed diagnosis strategy is evaluated 21 with two different PEMFC stacks. The first one is designed for automotive applications and the second one is dedicated to stationary 22 use (micro combined heat and power - ŒCHP application).

Mots clés: PEM FUEL CELL

Mots clés: PILE A COMBUSTIBLE; DIAGNOSTIC

Domaines: Sciences de l'ingénieur [physics]

Djedjiga Benouioua, Denis Candusso, Fabien Harel, P Picard, Xavier Francois. On the issue of the pemfc operating fault identification: generic analysis tool based on voltage pointwise singularity strengths. ICEREGA'17, 5th International Conference on emerging and renewable energy : generation and automation, Jul 2017, BELFORT, France. ⟨hal-01784367⟩