model based optimal design of experiments supported by parameter sensitivity analysis

Povzetek

Determination of the optimal design of experiments that enables efficient parametrisation of fuel cell (FC) model with a minimum parametrisation data-set is one of the key prerequisites for minimizing costs and effort of the parametrisation procedure. To efficiently tackle this challenge, the paper present an innovative methodology based on the electrochemical FC model, parameter sensitivity analysis and application of D-optimal design plan. Relying on this consistent methodological basis the paper answers fundamental questions: a) on a minimum required data-set to optimally parametrise the FC model and b) on the impact of reduced space of operational points on identifiability of individual calibration parameters. Results reveal that application of D-optimal DoE enables enhancement of calibration parameters information resulting in up to order of magnitude lower relative standard errors on smaller data-sets. In addition, it was shown that increased information and thus identifiability, inherently leads to improved robustness of the FC electrochemical model.

Ključne besede

PEM fuel cells;electrochemical PEM FC model;model-based design of experiments;reduced dimensionality models;parameter sensitivity;virtual observers;

Podatki

Jezik: Angleški jezik
Leto izida:
Tipologija: 1.01 - Izvirni znanstveni članek
Organizacija: UL FS - Fakulteta za strojništvo
UDK: 621.352.6:004.9(045)
COBISS: 36716803 Povezava se bo odprla v novem oknu
ISSN: 0360-3199
Št. ogledov: 53
Št. prenosov: 24
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: PEM gorivne celice;elektrokemični model PEM gorivne celice;modelsko osnovan dizajn eksperimentov;modeli z zmanjšano dimenzionalnostjo;občutljivostna analiza parametrov;virtualna tipala;
Vrsta dela (COBISS): Članek v reviji
Strani: str. 13832-13844
Letnik: ǂVol. ǂ46
Zvezek: ǂiss. ǂ26
Čas izdaje: Apr. 2021
DOI: 10.1016/j.ijhydene.2020.10.146
ID: 15956614