نتایج جستجو برای: pem fuel cell pemfc

تعداد نتایج: 1740747  

2017
Yoshiyuki Show Yutaro Ueno

Platinum (Pt) catalyst was formed on the surface of carbon black using an in-liquid plasma method. The formed Pt catalyst showed the average particle size of 4.1 nm. This Pt catalyst was applied to a polymer electrolyte membrane fuel cell (PEMFC). The PEMFC showed an open voltage of 0.85 V and a maximum output power density of 216 mW/cm2.

2012
Savvas Tsotoulidis Athanasios Safacas

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...

Journal: :iranian journal of hydrogen and fuel cell 0
mohammad hossein fili department of mechanical engineering, sari branch, islamic azad university, sari, iran mostafa habibnia department of mechanical engineering, joybay branch, islamic azad university, jouybar, iran peyman ghasemi tamami department of mechanical engineering, tarbiat modares university, tehran, iran

in this study cross section geometry and material of gasket in proton exchange membrane (pem) fuel cells have been investigated to achieve optimized fuel cell in terms of energy efficiency. the role of gaskets in fuel cells is sealing of gas flow channels and preventing from combination of them. in a pem stack, gasket with approved geometry that suffers more stress has better sealing. for this ...

2010
Chi-Yuan Lee Pin-Cheng Chan Chung-Ju Lee

Temperature, voltage and fuel flow distribution all contribute considerably to fuel cell performance. Conventional methods cannot accurately determine parameter changes inside a fuel cell. This investigation developed flexible and multi-functional micro sensors on a 40 μm-thick stainless steel foil substrate by using micro-electro-mechanical systems (MEMS) and embedded them in a proton exchange...

2010
R. A. Silva T. I. Paiva C. M. Rangel

The mechanisms of fuel cell degradation are not well understood. Even though the numbers of installed units around the world continue to increase and dominate the pre-markets, the present lifetime requirements for fuel cells cannot be guarantee, creating the need for a more comprehensive knowledge of material’s ageing mechanism. In this work, failure modes and mechanism of the membrane-electrod...

Maximum Power Point (MPP) tracker has an important role in the performance of fuel cell (FC) systems improvement. Tow parameters which have effect on the Fuel cell output power are temperature and membrane water. So contents make the MPP change by with variations in each parameter. In this paper, a new maximum power point tracking (MPPT) method for Proton Exchange Membrane (PEM) fuel cell is pr...

Journal: :journal of physical & theoretical chemistry 2006
mohammad yari sajjad sedaghat sherehjini

the electrocatalysis of the oxygen reduction reaction (orr) on carbon supportedpt-v (1:1) catalyst in polymer electrolyte fuel cells (pefc) was investigated. atan oxygen pressure of one atm an enhanced electrocatalytic property of pt-v/ccompared with pt/c is revealed. these results indicate the occurrence of adifferent electrocatalytic mechanism for the orr on pt/c and pt-v/c. anincrease of mas...

2003
Brian A. Knight Lei Chen Nancy Garland

The team assembled for this project will perform the following tasks: 1. Obtain representative samples of physical parameter sensors currently available to meet the targets specified in the fuel cells section of the Hydrogen, Fuel Cells and Infrastructure Technologies Program (HFCIT) Multi-Year R,D&D Plan (MYP). 2. Design and construct a facility for testing physical and chemical sensors under ...

2013

This paper presents a new method of fault detection and isolation (FDI) for polymer electrolyte membrane (PEM) fuel cell (FC) dynamic systems under an open-loop scheme. This method uses a radial basis function (RBF) neural network to perform fault identification, classification and isolation. The novelty is that the RBF model of independent mode is used to predict the future outputs of the FC s...

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