This paper deals with the performance analysis of a proton exchange membrane fuel cell in automotive applications and especially for start/stop phases. Start-Stop cycles are one main sources degradation systems, embedded applications, among other dynamic conditions as idling, load cycling or high power. In this study, polarization curves electrochemical impedance spectra used to analyze mechani...

A new study investigating the cooling efficacy of air flow inside open-cell metal foam embedded in aluminum models fuel-cell stacks is described. model based on a commercial stack was simulated and tested experimentally. This has three proton exchange membrane (PEM) fuel cells, each having an active area 100 cm2, with total output power 500 W. The state-of-the-art this employs water serpentine ...

Early and accurate fault detection and diagnosis for renewable energy systems can increase their safety and ensure the continuity of their service. This paper presents a comprehensive review of different fault detection and diagnosis methods for hybrid renewable energy systems consisting of a wind turbine power generator, a PV (photovoltaic) array, a PEM (polymer electrolyte membrane) fuel cell...

Electrochemical impedance spectroscopy (EIS) is a suitable and powerful diagnostic testing method for fuel cells (FCs) since it is non-destructive and provides useful information about FC performance and its components. In this study, for the first time, a 500W cascade type 4 cells stack with integrated humidifier, water separator and internal manifolds was designed, fabricated and tested. The ...

PEMFCs depend on proper water management to obtain high power density and energy efficiency. Traditionally, water management has been addressed by system design and engineering. That is, by adding auxiliary systems to the basic fuel cell system to provide humidification to the anode and remove water from the cathode. This approach adds significant complexities and costs and reduces the overall ...

In recent years, machine learning (ML) has received growing attention and it been used in a wide range of applications. However, the ML application renewable energies systems such as fuel cells is still limited. this paper, prognostic framework based on artificial neural network (ANN) designed to predict performance proton exchange membrane (PEM) cell system, aiming investigate effect temperatu...

The design and operation of a differential polymer electrolyte membrane (PEM) fuel cell is described. The fuel cell design is based on coupled stirred tank reactors (STRs) coupled through a membrane; the gas phase in each reactor compartment is well mixed. The characteristic times for reactant flow, gas phase diffusion, and reaction were chosen so that the gas compositions at both the anode and...

Proton-exchange membrane (PEM) fuel cells are being developed for both automotive (motive and/or auxiliary) and stationary (residential) power applications. Solid oxide fuel cells (SOFCs) also are being pursued for a number of power generation applications, including stationary (residential and utility), and automotive (auxiliary) power sources. For both of these types of fuel cells, the use of...

Results obtained by computer modeling and simulation using ab-initio and molecular dynamics techniques for elucidation of structural and catalytic properties of the PdCoMo trimetallic compound are reported; a comparison of these results with those obtained by sputtering deposition onto a nafion membrane to be used as catalyst for a 1KW PEM fuel cell is made. Structure was calculated by ab-initi...

This paper shows the results of adding static converters (Boost, Buck and Buck-Boost converters) as an adaptation solution between a PEM Fuel Cell generator and a resistive load in order to study different effects of the converter on the generator performances in terms of voltage and current behavior. The presented results are obtained by simulating the Bond Graph developed model under 20-Sim s...