scholarly journals An Improved Empirical Fuel Cell Polarization Curve Model Based on Review Analysis

2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Dong Hao ◽  
Jianping Shen ◽  
Yongping Hou ◽  
Yi Zhou ◽  
Hong Wang
Keyword(s):  
Fuel Cell ◽  
Polarization Curve ◽  
Test Data ◽  
Cell Polarization ◽  
Bench Test ◽  
Road Test ◽  
New Model ◽  
Fuel Cell Performance ◽  
Review Analysis ◽  
Improved Model

Based on a review analysis of empirical fuel cell polarization curve models in the literature, an improved model that can predict fuel cell performance with only measured current-voltage data is developed. The fitting characteristics of this new model are validated by fitting bench test data and road test data. In the case of bench test data, a comparison of the new model and two representative models is conducted, and the results show that the new model presents the best fitting effects over a whole range of current densities. Moreover, the fitted ohmic resistances derived from the new model show good agreement with the measured values obtained through a current interruption test. In the case of using road test data, the new model also presents excellent fitting characteristics and convenience for application. It is the author’s belief that the new model is beneficial for the application-oriented research of fuel cells due to its prominent features, such as conciseness, flexibility, and high accuracy.

A Parametric Study of Bipolar Plate Structural Parameters on the Performance of Proton Exchange Membrane Fuel Cell

2012 ◽  
Vol 9 (5) ◽  
Author(s):  
Salar Imanmehr ◽  
Nader Pourmahmod
Keyword(s):  
Fuel Cell ◽  
Proton Exchange Membrane ◽  
Structural Parameters ◽  
Catalyst Layer ◽  
Cell Polarization ◽  
Proton Exchange ◽  
Bipolar Plates ◽  
Fuel Cell Performance ◽  
Exchange Membrane ◽  
The Impact

In this research, the impact of structural parameters of bipolar plates on the proton exchange membrane (PEM) fuel cell performance has been investigated using numerical method, and this model incorporates all the essential fundamental physical and electrochemical processes occurring in the membrane electrolyte, cathode catalyst layer, electrode backing, and flow channel, with some assumptions in each part. In formulation of this model, the cell is assumed to work under steady state conditions. Also, since the thickness of the cell is negligible compared to other dimensions, one-dimensional and isothermal approximations are used. The structural parameters considered in this paper are: the width of channels (Wc), the width of support (Ws), the number of gas channels (ng), the height of channels (hc), and the height of supports (hp). The results show that structural parameters of bipolar plates have a great impact on outlet voltage in high current densities. Also, the number of gas channels, their surface area, the contacting area of bipolar plates, and electrodes have a great effect on the rate of reaction and consequently on outlet voltage. The model predictions have been compared with the existing experimental results available in the literature, and excellent agreement has been demonstrated between the model results and the experimental data for the cell polarization curve.

Performance Enhancement of Alkaline Direct Methanol Fuel Cells by Ni/Al Layered Double Hydroxides

2010 ◽  
Vol 7 (3) ◽  
Author(s):  
Jason C. Ganley ◽  
Nana K. Karikari ◽  
Dharmaraj Raghavan
Keyword(s):  
Fuel Cells ◽  
Fuel Cell ◽  
Direct Methanol Fuel Cells ◽  
Cell Mass ◽  
Cell Polarization ◽  
Pt Catalyst ◽  
Enhancement Effect ◽  
Fuel Cell Performance ◽  
Direct Methanol ◽  
Methanol Fuel Cells

This paper reports the results of fuel cell performance tests detailing the effects of Ni/Al layered double hydroxide (Ni-LDH) on the performance of alkaline direct methanol fuel cells (DMFCs). It is desirable to enhance the maximum rate of methanol consumption at a fuel cell’s anode so that expensive bimetallic catalysts (such as Pt-Ru) would not be as essential to remedy the well-known sluggish kinetics and Pt catalyst deactivation tendencies of DMFCs. The test cells were constructed using partially hydrolyzed polyvinyl alcohol film membranes impregnated with a 10 M potassium hydroxide electrolyte. The cells were tested at a constant temperature of 40°C, and the effect of the addition of Ni-LDH to the membrane surface was studied by comparison of fuel cell polarization and power production curves of cells with Pt or Pt-Ru anodes paired with Pt cathodes. The benefits of Ni-LDH addition to DMFCs are clearly shown vis-à-vis the extended operating current densities and associated increases in power density for each catalyst type. The enhancement effect of Ni-LDH appears largely as enhancement of cell mass transport. Cells constructed with Pt anodes and membrane surfaces modified by Ni-LDH perform very nearly as well as Ni-LDH-free cells using bimetallic Pt-Ru anodes.

Research on a battery test profile based on road test data from hybrid fuel cell buses

2012 ◽  
Vol 209 ◽  
pp. 30-39 ◽  
Author(s):  
Xuning Feng ◽  
Jianqiu Li ◽  
Languang Lu ◽  
Jianfeng Hua ◽  
Liangfei Xu ◽  
...  
Keyword(s):  
Fuel Cell ◽  
Test Data ◽  
Road Test

scholarly journals An Open-Source Toolbox for Multiphase Flow Simulation in a PEM Fuel Cell

2018 ◽  
Vol 11 (3) ◽  
pp. 10
Author(s):  
Jean-Paul Kone ◽  
Xinyu Zhang ◽  
Yuying Yan ◽  
Stephen Adegbite
Keyword(s):  
Fuel Cells ◽  
Fuel Cell ◽  
Multiphase Flow ◽  
Open Source ◽  
Polarization Curve ◽  
Source Code ◽  
International Energy Agency ◽  
Pem Fuel Cell ◽  
Cell Polarization ◽  
Proton Exchange

A proton exchange membrane (PEM) fuel cell is an electrolytic cell that can convert chemical energy of hydrogen reacting with oxygen into electrical energy with no greenhouse gases generated in the process. To satisfy increasingly demanding application needs, providing fuel cells with better performance and higher efficiency are of paramount importance. Computational fluid dynamics (CFD) analysis is an ideal method for fuel cell design optimization. In this paper, a comprehensive CFD-based numerical tool that can accurately simulate multiphase flow and the major transport phenomena occurring in a PEM fuel cell is presented. The tool is developed using the Open Source Field Operation and Manipulation (OpenFOAM) software (a free open-source CFD code). This makes it flexible and suitable for use by fuel cell manufacturers and researchers to get an in-depth understanding of the cell working processes to optimize the design. The distributions of velocity, pressure, chemical species, Nernst potential, current density, and temperature at case study conditions are as expected. The polarization curve follows the same trend as those of the I-V curves from numerical model and experimental data taken from the literature. Furthermore, a parametric study showed thekey role played by the concentration constant in shaping the cell polarization curve. The developed toolbox is well-suited for research and development which is not always the case with commercial code. The work therefore contributes to achieving the objectives outlined in the International Energy Agency (IEA) Advanced Fuel Cell Annex 37 which promotes open-source code modelling of fuel cells. The source code can be accessed athttp://dx.doi.org/10.17632/c743sh73j8.1.

scholarly journals Model Structure Optimization for Fuel Cell Polarization Curves

Computers ◽  
2018 ◽  
Vol 7 (4) ◽  
pp. 60 ◽  
Author(s):  
Markku Ohenoja ◽  
Aki Sorsa ◽  
Kauko Leiviskä
Keyword(s):  
Genetic Algorithms ◽  
Fuel Cell ◽  
Polarization Curve ◽  
Cell System ◽  
Cell Polarization ◽  
Operating Conditions ◽  
Model Complexity ◽  
Structure Identification ◽  
Model Parameters ◽  
Model Structure

The applications of evolutionary optimizers such as genetic algorithms, differential evolution, and various swarm optimizers to the parameter estimation of the fuel cell polarization curve models have increased. This study takes a novel approach on utilizing evolutionary optimization in fuel cell modeling. Model structure identification is performed with genetic algorithms in order to determine an optimized representation of a polarization curve model with linear model parameters. The optimization is repeated with a different set of input variables and varying model complexity. The resulted model can successfully be generalized for different fuel cells and varying operating conditions, and therefore be readily applicable to fuel cell system simulations.

Sign in / Sign up

Export Citation Format

Share Document