Plenary Lecture

Modelling PEM Fuel Cells Using Neural Networks

Prof. Jose Carlos Quadrado
DEEA - Instituto Superior de Engenharia de Lisboa
R. Conselheiro Emidio Navarro, 1, 1959-007 LISBOA
Portugal
E-mail: jcquadrado@deea.isel.ipl.pt

Abstract: New worldwide spread environmental legislation restricts the energy production systems to reduce the CO2 emissions.
The Proton Exchange Membrane Fuel Cell (PEMFC) is the most promising technology in the energy domain, where low emissions and fast start-up is required.
In the majority of its application, the PEMFC requires the behaviour control and supervision. To achieve these goals an efficient computational model is fundamental. The existing models require complete and accurate parameters’ identification, which in those systems is hard to obtain.
It is possible to obtain efficient behaviour models by resorting to black-box like models that incorporate neural networks’ elements and therefore overcame the PEMFC modelling limitations.

Brief Biography of the Speaker:
The speaker is the Coordinating Full Professor of electrical machines in the electrical engineering and automation department of the Instituto Superior de Engenharia de Lisboa (ISEL), Portugal. Currently he holds the place of President of ISEL.
He has a BSc in Energy and Power Systems, a diploma degree in Electrical Engineering, Automation and Industrial Electronics, a MSc and a Doctor degree in Electrical Engineering and Computers from Lisbon Technical University. Also he has the Habilitation from the Beira Interior University.
He is the president of a research and project center on electrical machines control and applications.
He is currently in the board of directors of the Portuguese Electrical Vehicle Association (APVE). Also he holds the Portuguese chapter of the CIS/IEEE.
He his member of several professional, academic and scientific associations, and has over one hundred publications in books and journals.