Zhang Peng Du (Author), Andraž Kravos (Author), Christoph Steindl (Author), Tomaž Katrašnik (Author), Stefan Jakubek (Author), Christoph Hametner (Author)

Abstract

Polymer electrolyte membrane fuel cells (PEMFCs) are prone to membrane dehydration and liquid water flooding, negatively impacting their performance and lifetime. Therefore, PEMFCs require appropriate water management, which makes accurate water modeling indispensable. Unfortunately, available control-oriented models only replicate individual water-related aspects or use oversimplistic approximations. This paper resolves this challenge by proposing, for the first time, a control-oriented PEMFC stack model focusing on physically motivated water modeling, which covers phase change, liquid water removal, membrane water uptake, and water flooding effects on the electrochemical reaction. Parametrizing the resulting model with measurement data yielded the fitted model. The parameterized model delivers valuable insight into the water mechanisms, which were thoroughly analyzed. In summary, the proposed model enables the derivation of advanced control strategies for efficient water management and mitigation of the degradation phenomena of PEMFCs. Additionally, the model provides the required accuracy for control applications while maintaining the necessary computational efficiency.

Keywords

fuel cells;polymer electrolyte membrane;control-oriented model;physically motivated model;water modeling;liquid water effects;analytical differentiable model;

Data

Language: English
Year of publishing:
Typology: 1.01 - Original Scientific Article
Organization: UL FS - Faculty of Mechanical Engineering
UDC: 621.352.6:669.231:004.94
COBISS: 85388035 Link will open in a new window
ISSN: 1996-1073
Views: 167
Downloads: 91
Average score: 0 (0 votes)
Metadata: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Other data

Secondary language: Slovenian
Secondary keywords: gorivne celice;protonska izmenjevalna membrana;staranje platine;mehanistično osnovan model;vodno modeliranje;pospešeni testi staranja;
Type (COBISS): Article
Pages: str. 1-20
Volume: ǂVol. ǂ14
Issue: ǂiss. ǂ22
Chronology: 2021
DOI: 10.3390/en14227693
ID: 14092813