An Experimentally Optimized PEM Fuel Cell Model using PSO Algorithm

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2010

Autores

Rui Chibante (Autor) FEUP; Campos, D (Autor) Outra

Ata de Conferência Internacional

Título: IEEE INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS (ISIE 2010)

Páginas: 2281-2285

IEEE International Symposium on Industrial Electronics (ISIE 2010)

Bari, ITALY, JUL 04-07, 2010

Indexação

ISI Web of Knowledge - 7 Citações

Scopus - 8 Citações

Outras Informações

ID Authenticus: P-003-B6E

DOI: 10.1109/isie.2010.5637642

Abstract (EN): This paper presents a semi-empirical fuel cell model with parameters identified using an optimization approach. The Proton Exchange Membrane Fuel Cell (PEMFC) model is characterized by technological and empirical parameters and their identification is a hard task if is intended to have precise simulation results in a wide range of operating conditions. It is verified that the Particle Swarm Optimization (PSO) method is an adequate tool to extract the correct parameter values. This is achieved minimizing the difference between experimental and simulated results. Both PEMFC model and PSO algorithm are implemented in Matlab/Simulink software.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 5