Advanced State-of-X diagnostics of proton exchange membrane fuel cells enabled by the multi-scale modeling framework
Year: 2025
Type: article
Abstract: Simultaneous optimization of efficiency and durability of proton exchange membrane fuel cells (PEMFC) calls for advanced State-of-X (SoX) diagnostics. Novel SoX functionalities are made possible by the knowledge of internal states of PEMFCs and parameters associated with the rate and efficiency of reactions as well as of transport mechanisms. To address this challenging task, we propose innovative SoX diagnostics method based on a computationally efficient multi-scale simulation framework for PEMFCs, parameter identification techniques and methods for assessing uniqueness of parameter identification. Proposed state-of-the-art simulation framework incorporates advanced submodel on spatially resolved dynamics of liquid water and newly added submodel considering the impact of the gas crossover effects on mixed potentials. Results demonstrate capability of the innovative SoX diagnostics method to perform detailed diagnostics of internal states of the PEMFC and to pinpoint degradation-imposed variation of parameters which are interlinked with catalyst activity, membrane losses and gas diffusion layer losses.
Authors: Tomaž Katrašnik, Andraž Kravos
Institution: University of Ljubljana
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $3,730
Funders: European Commission, Javna Agencija za Raziskovalno Dejavnost RS, Christian Doppler Forschungsgesellschaft, Horizon 2020 Framework Programme, HORIZON EUROPE Framework Programme, H2020 Industrial Leadership, HORIZON EUROPE Global Challenges and European Industrial Competitiveness, HORIZON EUROPE Climate, Energy and Mobility
Awards: NORTH ADRIATIC HYDROGEN VALLEY, NORTH ADRIATIC HYDROGEN VALLEY, G30853683, reliable durable high power hydrogen fueled PEM Fuel Cell stack, Advanced MEAs ensuring high efficiency HDV, Advanced MEAs ensuring high efficiency HDV, Energy Engineering, G4891651633, G4953735998, G7025077563, G7038822668, Material, Operating strategy and REliability optimisation for LIFEtime improvements in heavy duty trucks, reliable durable high power hydrogen fueled PEM Fuel Cell stack
OpenAlex ID: W4408794289
