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document
Fault detection and identification for Polymer Electrolyte Membrane Fuel Cell
Abstract
Fault detectionand identificationfor PolymerElectrolyte Membrane Fuel CellHelen BARBOZA DA SILVA1,2,Salah TOUHAMI3,Gilles CAUFFET1, Olivier CHADEBEC1,FlorenceDRUART2, Olivier LOTTIN3,Julia MAINKA3,Jérôme DILLET3,Sébastien ROSINI4,Christine NAYOZE4,FabriceMICOUD4, Yann BULTEL21Univ. Grenoble Alpes, CNRS, Grenoble INP, G2Elab, F-38000 Grenoble, France2Univ.Grenoble Alpes, Univ. Savoie-Mont Blanc, CNRS, Grenoble INP, LEPMI, 38000 Grenoble, France3Univ. Lorraine, CNRS,LEMTA,54500Vandœuvre-lès-Nancy, France4Univ. Grenoble Alpes, CEA, LITEN, F-38054 Grenoble,FranceReliability and durability are key considerations to successfully deploy Proton Exchange Membrane Fuel Cells (PEMFCs).So,effective toolsare requiredto control their mass-production,thequalityofthestacksandtheirdiagnosisforon-sitemaintenance (stationary) or for on-board (transportation) applications. Therefore, techniques sensitive tolocalizedphenomenaareofmajorinterestinthe developmentofPEMFCdiagnosis. Inperspective,localelectrochemicalmeasurement associatingcurrentdensity distributionandlocalElectrochemicalImpedanceSpectroscopy(EIS) maysupport stack-leveldegradationanalysesaswellaseffectivecontroltomitigatethe consequences of degradation due to load cycles (electrochemical, thermal, mechanical and humidity effects) or faults. The key here is to extract information aboutlocal current density distribution and impedance,over either a cell or a stack.This strategyrequires thecomplementarydevelopmentofsegmentedcellsaswellasmagneticfield techniques,toimplement local measurementrespectivelyoverMEAsurfaceandonto stackduringreal-lifeoperation.This challenge istackled byusingtailoreddefective MEAs or thanks to specific operating conditions (flooding, drying, ...) to characterize how local and overall performances of the MEA are affected and to identify the signatures of the various anomalies.