An Experimentally Optimized PEM Fuel Cell Model using PSO Algorithm

• Type: Article in International Conference Proceedings Book
• Date: 2010

Authors

Rui Chibante (Author) FEUP; Campos, D (Author) Other

Conference proceedings International

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

Pages: 2281-2285

IEEE International Symposium on Industrial Electronics (ISIE 2010)

Bari, ITALY, JUL 04-07, 2010

Indexing

ISI Web of Knowledge - 7 Citations

Scopus - 8 Citations

Other information

Authenticus ID: 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 5