Some Improvements of Particle Filtering Based Prognosis for PEM Fuel Cells

Dacheng Zhang (1, 2) , Catherine Cadet (1) , Christophe Bérenguer (2) , Nadia Yousfi Steiner (3)

1 GIPSA-SYSCO - GIPSA - Systèmes non linéaires et complexité
2 GIPSA-SAIGA - GIPSA - Signal et Automatique pour la surveillance, le diagnostic et la biomécanique
3 FEMTO-ST - Franche-Comté Électronique Mécanique, Thermique et Optique - Sciences et Technologies (UMR 6174)

This paper presents some improvements of Particle Filtering based prognosis to predict the Remaining Useful Life of Proton Exchange Membrane Fuel Cell stacks regarding the power degradation recovery phenomena. Different models are studied to adapt the phenomena during operation. Finally a model with parameters estimated from Electrochemical Impedance Spectroscopy is proposed.

Mots clés: Proton Exchange Membrane Fuel Cell; Prognostics and Health Management; Remaining Useful life; Electrochemical Impedance Spectroscopy; Particle Filtering

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

Dacheng Zhang, Catherine Cadet, Christophe Bérenguer, Nadia Yousfi Steiner. Some Improvements of Particle Filtering Based Prognosis for PEM Fuel Cells. AMEST 2016 - Workshop on Advanced Maintenance Engineering, Services and Technology, IFAC, Oct 2016, Biarritz, France. pp.168-173. ⟨hal-02868279⟩