scholarly journals Evaluation of the Humidification Requirements of New Proton Exchange Membranes for Fuel Cells

1995 ◽  
Vol 393 ◽  
Author(s):  
Stephen A. Grot ◽  
J.C. Hedstrom ◽  
N.E. Vanderborgh
Keyword(s):  
Fuel Cell ◽  
Relative Humidity ◽  
Operating Temperature ◽  
Pem Fuel Cell ◽  
Proton Exchange Membranes ◽  
Transport Processes ◽  
Proton Exchange ◽  
Inlet Temperature ◽  
Device Performance ◽  
Test Fixture

ABSTRACTMeasurements of PEM fuel cell device performance were made with different gas inlet temperatures and relative humidity using a newly-designed test fixture. Significant improvement in device performance was observed when the fuel inlet temperature was increased above the operating temperature of the cell. These measurements were then correlated to a model to describe energy and mass transport processes.

Enhanced proton conductivity of multiblock poly(phenylene ether ketone)s via pendant sulfoalkoxyl side chains with excellent H2/air fuel cell performance

2016 ◽  
Vol 4 (6) ◽  
pp. 2321-2331 ◽  
Author(s):  
Tiandu Dong ◽  
Jiahui Hu ◽  
Mitsuru Ueda ◽  
Yiming Wu ◽  
Xuan Zhang ◽  
...  
Keyword(s):  
Fuel Cell ◽  
Relative Humidity ◽  
Proton Conductivity ◽  
Proton Exchange Membranes ◽  
Proton Exchange ◽  
Cell Performance ◽  
Side Chains ◽  
Fuel Cell Performance ◽  
Ether Ketone

A multi-block compositing graft concept is investigated to fabricate proton exchange membranes. The prepared membranes demonstrate excellent ion conductive capacity and better fuel cell performance over the entire relative humidity conditions, compared to Nafion.

scholarly journals The Relative Humidity Effect Of The Reactants Flows Into The Cell To Increase PEM Fuel Cell Performance

2018 ◽  
Vol 156 ◽  
pp. 03033 ◽  
Author(s):  
Mulyazmi ◽  
W.R W Daud ◽  
Silvi Octavia ◽  
Maria Ulfah
Keyword(s):  
Fuel Cell ◽  
Relative Humidity ◽  
Current Density ◽  
Single Cells ◽  
Pem Fuel Cell ◽  
Proton Exchange ◽  
Cell Performance ◽  
Cathode Side ◽  
Humidity Effect ◽  
Fuel Cell Performance

Design of the Proton Exchange Membrane (PEM) fuel cell system is still developed and improved to achieve performance and efficiency optimal. Improvement of PEM fuel cell performance can be achieved by knowing the effect of system parameters based on thermodynamics on voltage and current density. Many parameters affect the performance of PEM fuel cell, one of which is the relative humidity of the reactants that flow in on the anode and cathode sides. The results of this study show that the increase in relative humidity value on the cathode side (RHC) causes a significant increase in current density value when compared to the increase of relative humidity value on the anode side (RHA). The performance of single cells with high values is found in RHC is from 70% to 90%. The maximum current density generated at RHA is 70% and RHC is 90% with PEM operating temperature of 363 K and pressure of 1 atm

Three Dimensional Non-Isothermal Model of a High Temperature PEM Fuel Cell

2009 ◽  
Author(s):  
Zhongying Shi ◽  
Xia Wang
Keyword(s):  
High Temperature ◽  
Fuel Cell ◽  
Relative Humidity ◽  
Phosphoric Acid ◽  
Doping Level ◽  
Operating Temperature ◽  
Three Dimensional ◽  
Pem Fuel Cell ◽  
Isothermal Model ◽  
Fuel Cell Performance

The proton exchange membrane (PEM) fuel cell using a polybenzimidazole (PBI) membrane operates between 120 °C and 180 °C, higher than the PEM fuel cell with a Nafion based membrane (lower than 80°C). Few studies have been conducted in the theoretical modeling of the PEM fuel cell with a PBI membrane. Experimental results have shown that the conductivity of a PBI membrane is affected by the phosphoric acid doping level, the cell operating temperature and the relative humidity. The fuel cell performance is thus affected by these parameters as well. The objective of this paper is to develop a three dimensional non-isothermal model to investigate the performance of the fuel cell with a PBI membrane. This new model considers influences of the relative humidity of the inlet air, the phosphoric acid doping level, and the operating temperature on the performance of fuel cells. The model is validated using the experimental data. A high oxygen concentration is found under the flow channel, as well as a high temperature region. The performance of fuel cells increases with the increase of the phosphoric doping level, temperature or relative humidity. The fuel cell performance is found to be more sensitive to the doping level and temperature changes, and less sensitive to the change of relative humidity.

scholarly journals On the Evolution of Sulfonated Polyphenylenes as Proton Exchange Membranes for Fuel Cells

2021 ◽  
Author(s):  
Michael Adamski ◽  
Nicolas Peressin ◽  
Steven Holdcroft
Keyword(s):  
Fuel Cells ◽  
Fuel Cell ◽  
Proton Exchange Membrane ◽  
Pem Fuel Cell ◽  
Proton Exchange Membranes ◽  
Proton Exchange ◽  
Perfluorosulfonic Acid ◽  
Exchange Membrane

The recent expansion in proton exchange membrane (PEM) research has been commensurate with the growth of PEM fuel cell research. Perfluorosulfonic acid (PFSA) ionomer materials remain the technological membrane of...

scholarly journals An Artificial Intelligence Solution for Predicting Short-Term Degradation Behaviors of Proton Exchange Membrane Fuel Cell

2021 ◽  
Vol 11 (14) ◽  
pp. 6348
Author(s):  
Zijun Yang ◽  
Bowen Wang ◽  
Xia Sheng ◽  
Yupeng Wang ◽  
Qiang Ren ◽  
...  
Keyword(s):  
Fuel Cell ◽  
Proton Exchange Membrane ◽  
Pem Fuel Cell ◽  
Activation Function ◽  
Proton Exchange ◽  
Cell Performance ◽  
Short Term ◽  
Degradation Behaviors ◽  
Hidden Layer ◽  
Exchange Membrane

The dead-ended anode (DEA) and anode recirculation operations are commonly used to improve the hydrogen utilization of automotive proton exchange membrane (PEM) fuel cells. The cell performance will decline over time due to the nitrogen crossover and liquid water accumulation in the anode. Highly efficient prediction of the short-term degradation behaviors of the PEM fuel cell has great significance. In this paper, we propose a data-driven degradation prediction method based on multivariate polynomial regression (MPR) and artificial neural network (ANN). This method first predicts the initial value of cell performance, and then the cell performance variations over time are predicted to describe the degradation behaviors of the PEM fuel cell. Two cases of degradation data, the PEM fuel cell in the DEA and anode recirculation modes, are employed to train the model and demonstrate the validation of the proposed method. The results show that the mean relative errors predicted by the proposed method are much smaller than those by only using the ANN or MPR. The predictive performance of the two-hidden-layer ANN is significantly better than that of the one-hidden-layer ANN. The performance curves predicted by using the sigmoid activation function are smoother and more realistic than that by using rectified linear unit (ReLU) activation function.

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