Abstract-This

No abstract

Confronted by the energy and environmental challenges, fuel cells raise a lot of hope. Fuel cells are expected to be an important power source in the future, and the proton exchange membrane fuel cell (PEMFC) is one of the potential candidates, being highly suitable for certain applications. The electrochemical components, especially a fuel cell, are naturally multidisciplinary components rather well adapted to this approach: chemistry, electrochemistry, thermal and electrical engineering are involved. We propose a PEMFC model using the bond graph method. This model takes into account the different physicochemical phenomena in a fuel cell. The modeling of the activation layer (AL) and gas diffusion layer (GDL) of the cathode side is highlighted. This model is then validated by an experimental work where we have used a 1.2-kW power PEMFC of the Nexa type from Ballard. The static characteristics of the fuel cell obtained by simulation are in good agreement with those of experiments and also from the literature. The PEM fuel cell has given rise to many research and development activities around the world. The technology is changing rapidly and strongly. This energy converter, both clean and efficient, can convert the chemical energy of hydrogen-predicted as the energy source of the future by leading specialists in view of its specific energy that is three times greater than gasoline-into electrical energy directly usable and thermal energy that it is possible to enhance.The fuel cell involves the oxidation-reduction reaction between hydrogen and oxygen to form water, electricity, and heat [5]. A PEMFC is composed of a stack of electrochemical cells in

No abstract

No abstract

This paper addresses the problem of bond graph methodology as a graphical approach for modeling renewable and electrochemical sources, particularly fuel cells. The purpose is to highlight the bond graph approach in order to model a PEM cell model, as a first step, and to control the incoming hydrogen and oxygen flows to its electrodes as a second step. The adapted control is conventional based on a PID regulator.

<p>The objective of this paper is the PEM fuel cell impedance model parameters<strong> </strong>identification. This work is a part of a larger work which is the diagnosis of the fuel cell which deals with the optimization and the parameters identification of the impedance complex model of the Nexa Ballard 1200 W PEM fuel cell. The method used for the identification is a sample genetic algorithm and the proposed impedance model is based on electric parameters, which will be found from a sweeping of well determined frequency bands. In fact, the frequency spectrum is divided into bands according to the behavior of the fuel cell. So, this work is considered a first in the field of impedance spectroscopy So, this work is considered a first in the field of impedance spectroscopy. Indeed, the identification using genetic algorithm requires experimental measures of the fuel cell impedance to optimize and identify the impedance model parameters values. This method is characterized by a good precision compared to the numeric methods. The obtained results prove the effectiveness of this approach.</p>

No abstract