Andraž Kravos (Avtor), Ambrož Kregar (Avtor), Tomaž Katrašnik (Avtor)

Povzetek

Successful parametrization and re-parametrization of the models used in PEMFC observer applications is instrumental to assure ideal control of the system. To increase ease of parametrisation and accuracy of parameter determination, this paper presents framework of twin analytical ansatzes for modelling PEMFC response in time and frequency domains sharing same set of calibration parameters. Owing to thermodynamically consistent modelling basis of the twin models, which are based on electrochemical model with state-of-the-art extrapolation capabilities and replication of the experimental data with one set of calibration parameters, they are valid in all current density regions. Furthermore, unique sharing of the calibration parameters enables unprecedented enrichment of the dataset that can be used to determine values of model's calibration parameters with higher certainty or enhances identification of individual calibration parameters that are otherwise harder to be uniquely determined. Additionally, proposed hybrid methodology also enables a significant reduction in the measurement time and enable re-parametrization on the fly.

Ključne besede

fuel cells;proton exchange membrane;modelling;electrochemical impedance spectroscopy;parametrisation in time and frequency domain;diagnostic and control applications;

Podatki

Jezik: Angleški jezik
Leto izida:
Tipologija: 1.08 - Objavljeni znanstveni prispevek na konferenci
Organizacija: UL FS - Fakulteta za strojništvo
UDK: 519.61:621.3(045)
COBISS: 30901507 Povezava se bo odprla v novem oknu
ISSN: 1938-6737
Št. ogledov: 1789
Št. prenosov: 379
Ocena: 0 (0 glasov)
Metapodatki: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Ostali podatki

Sekundarni jezik: Slovenski jezik
Sekundarne ključne besede: gorivne celice;protonske izmenjevalne membrane;modeliranje;elektrokemična impendančna spektroskopija;parametrizacija v časovni in frekvenčni domeni;diagnostične in kontrolne aplikacije;
Vrsta dela (COBISS): Članek v reviji
Strani: str. 13-24
Letnik: ǂVol. ǂ98
Zvezek: ǂno. ǂ9
Čas izdaje: 2020
DOI: 10.1149/09809.0013ecst
ID: 12801955