Record link: 
http://hdl.handle.net/20.500.12708/190942
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Title: 
Real-time estimation of degradation in PEM fuel cells
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Citation: 
Bartlechner, J., Vrlic, M., Hametner, C., & Jakubek, S. (2023). Real-time estimation of degradation in PEM fuel cells. In V. Cigolotti & F. Marino (Eds.), Proceedings of the 10th European Fuel Cell Piero Lunghi Conference (pp. 177–178). ENEA Italian National Agency for New Technologies, Energy and Sustainable Economic Development.
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Publication Type: 
Inproceedings - Abstract Book Contribution
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Language: 
English
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Authors: 
Bartlechner, Johanna 
Vrlic, Martin 
Hametner, Christoph 
Jakubek, Stefan 
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Organisational Unit: 
E325-04-2 - Forschungsgruppe Regelungsmethoden-Antriebssysteme 
E325-03 - Forschungsbereich Messtechnik und Aktorik 
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Published in: 
Proceedings of the 10th European Fuel Cell Piero Lunghi Conference 
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ISBN: 
978-88-8286-446-0
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Date (published): 
15-Sep-2023
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Event name: 
EFC 2023 : European Fuel Cells and Hydrogen Piero Lunghi Conference 
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Event date: 
13-Sep-2023 - 15-Sep-2023
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Event place: 
Capri, Italy
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Number of Pages: 
2
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Publisher: 
ENEA Italian National Agency for New Technologies, Energy and Sustainable Economic Development, Rome
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Keywords: 
dynamic operation; PEM fuel cell; State-of-Health observer; extended Kalman filter
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Abstract: 
A novel approach to estimate degradation of a PEM fuel cell during dynamic operation based on the extended Kalman filter is presented. The algorithm is tested on measurement data. A good agreement between measurement and observer is obtained for the whole lifetime. The estimated change in State-of-Health aligns with literature.
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Project title: 
Alterungsanalyse und Performanceoptimierung von Brennstoffzellen im hochdynamischen Betrieb: FO999889328 (FFG - Österr. Forschungsförderungs- gesellschaft mbH) 
Christian Doppler Labor für Innovative Regelung und Überwachung von Antriebssystemen: CDL (Christian Doppler Forschungsgesells) 
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Link (external): 
https://drive.google.com/file/d/1uHTwItt6QJhOoXNG27VRrjUIr3PDjXds/view
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Research Areas: 
Sustainable and Low Emission Mobility: 50%
Modeling and Simulation: 30%
Climate Neutral, Renewable and Conventional Energy Supply Systems: 20%
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Science Branch: 
1040 - Chemie: 20%
2030 - Maschinenbau: 60%
2020 - Elektrotechnik, Elektronik, Informationstechnik: 20%
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Appears in Collections:
Conference Paper

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