There has been growing interest in the modelling of proton exchange membrane fuel cells (PEMFC). While some steady-state models have been proposed, literature is scarce in PEMFC two-phase dynamic models and transient studies. Typical dynamic models for the fuel cell are empirical current-voltage dynamic models. The internal transients associated with reactant and product species and other compo...

Proton exchange membrane fuel cells (PEMFCs) are promising clear and efficient new energy sources. An excellent control system is a normal working prerequisite for maintaining a fuel cell system in correct operating conditions. Conventional controllers could not satisfy the high performance to obtain the acceptable responses because of uncertainty, time-change, nonlinear, long-hysteresis and st...

Proton exchange membrane fuel cells (PEMFCs) are promising clear and efficient new energy sources. An excellent control system is a normal working prerequisite for maintaining a fuel cell system in correct operating conditions. Conventional controllers could not satisfy the high performance to obtain the acceptable responses because of uncertainty, time-change, nonlinear, long-hysteresis and st...

In this paper the design and the operation of the drive system in a Fuel Cell Electric Vehicle (FCEV) is presented. The system consists of a Proton Exchange Membrane Fuel Cell (PEMFC) stack, an interleaved boost converter, battery pack connected via a bidirectional buck-boost converter and a brushless DC motor (BLDC) driven by a three phase inverter. A basic analysis of each component of the in...

A fuel cell has been considered as an efficient and clean alternative power source for automobile industry since the energy crisis forced people to find a substitution for fossil fuels. A proton exchange membrane fuel cell, also known as polymer electrolyte membrane fuel cell (PEMFC), becomes a prime candidate for applications in vehicles because of its following features: the PEMFC operates at...

Many kinds of uncertain factors may exist in the process of fault diagnosis and affect diagnostic results. Bayesian network is one of the most effective theoretical models for uncertain knowledge expression and reasoning. The method of naive Bayesian classification is used in this paper in fault diagnosis of a proton exchange membrane fuel cell (PEMFC) system. Based on the model of PEMFC, fault...

In this study, the control of thermal behavior for Proton Exchange Membrane Fuel Cells (PEMFC) is investigated. A description of the thermal behavior for PEMFC is given thanks to a nonhomogenous bilinear state space representation. In order to perform a local stabilization of the thermal behavior in a convex polytope of parameters, a linear approximation is proposed. Linear Matrix Inequality ba...

The polymer electrolyte membrane fuel cell (PEMFC) converts the chemical energy of hydrogen and oxygen (air) into usable electrical energy. At the cathode (the positive electrode), a considerable amount of platinum is generally required to catalyse the sluggish oxygen reduction reaction (ORR). This has implications regarding the cost in high-power applications, and for making a broad commercial...

This work presents the development of a nonlinear state observer to estimate the values of the different gas species concentration profiles in a The selection of the estimated states implementation is based on the discretization of a PEMFC distributed discretization of the partial derivative equations is performed to take advantage of the boundary conditions of the problem. A second-order slidi...

The Proton Exchange Membrane Fuel Cell (PEMFC) control system has an important effect on operation of cell. Traditional controllers couldn’t lead to acceptable responses because of timechange, longhysteresis, uncertainty, strongcoupling and nonlinear characteristics of PEMFCs, so an intelligent or adaptive controller is needed. In this paper a neural network predictive controller have been desi...