Povzetek
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.
Ključne besede
fuel cells;polymer electrolyte membrane;control-oriented model;physically motivated model;water modeling;liquid water effects;analytical differentiable model;
Podatki
Jezik: |
Angleški jezik |
Leto izida: |
2021 |
Tipologija: |
1.01 - Izvirni znanstveni članek |
Organizacija: |
UL FS - Fakulteta za strojništvo |
UDK: |
621.352.6:669.231:004.94 |
COBISS: |
85388035
|
ISSN: |
1996-1073 |
Št. ogledov: |
167 |
Št. prenosov: |
91 |
Ocena: |
0 (0 glasov) |
Metapodatki: |
|
Ostali podatki
Sekundarni jezik: |
Slovenski jezik |
Sekundarne ključne besede: |
gorivne celice;protonska izmenjevalna membrana;staranje platine;mehanistično osnovan model;vodno modeliranje;pospešeni testi staranja; |
Vrsta dela (COBISS): |
Članek v reviji |
Strani: |
str. 1-20 |
Letnik: |
ǂVol. ǂ14 |
Zvezek: |
ǂiss. ǂ22 |
Čas izdaje: |
2021 |
DOI: |
10.3390/en14227693 |
ID: |
14092813 |