Model identification of a Proton-Exchange Membrane Fuel-Cell from an input-output experiment: The diffusive representation approach

Author(s):  
Carlos Restrepo ◽  
Germain Garcia ◽  
Javier Calvente ◽  
Roberto Giral ◽  
Luis Martinez-Salamero
2016 ◽  
Vol 63 (2) ◽  
pp. 1003-1015 ◽  
Author(s):  
Carlos Restrepo ◽  
Germain Garcia ◽  
Javier Calvente ◽  
Roberto Giral ◽  
Luis Martinez-Salamero

2009 ◽  
Author(s):  
F. Yusivar ◽  
A. Subiantoro ◽  
D. Aryani ◽  
R. Gunawan ◽  
P. S. Priambodo ◽  
...  

Electronics ◽  
2021 ◽  
Vol 10 (22) ◽  
pp. 2834
Author(s):  
Abhishek Sharma ◽  
Rizwan Ahamad Khan ◽  
Abhinav Sharma ◽  
Diwakar Kashyap ◽  
Shailendra Rajput

The model-identification and parameter extraction are a well-defined method for modeling and development purposes of a proton exchange membrane fuel cell (PEMFC) to improve the performance. This paper introduces a novel opposition-based arithmetic optimization algorithm (OBAOA) for identifying the unspecified parameters of PEMFCs. The cost function is defined as the sum of the square deviations between the experimentally measured values and the optimal achieved values from the algorithm. Ballard Mark V PEM fuel cell is employed and analyzed to demonstrate the capability of the proposed algorithm. To demonstrate system efficiency, simulation results are compared to those of other optimizers under the same conditions. Furthermore, the proposed algorithm is validated through benchmark functions. The final results revealed that the proposed opposition-based arithmetic optimization algorithm can accurately retrieve the parameters of a PEMFC model.


2019 ◽  
Author(s):  
Valentina Guccini ◽  
Annika Carlson ◽  
Shun Yu ◽  
Göran Lindbergh ◽  
Rakel Wreland Lindström ◽  
...  

The performance of thin carboxylated cellulose nanofiber-based (CNF) membranes as proton exchange membranes in fuel cells has been measured in-situ as a function of CNF surface charge density (600 and 1550 µmol g<sup>-1</sup>), counterion (H<sup>+</sup>or Na<sup>+</sup>), membrane thickness and fuel cell relative humidity (RH 55 to 95 %). The structural evolution of the membranes as a function of RH as measured by Small Angle X-ray scattering shows that water channels are formed only above 75 % RH. The amount of absorbed water was shown to depend on the membrane surface charge and counter ions (Na<sup>+</sup>or H<sup>+</sup>). The high affinity of CNF for water and the high aspect ratio of the nanofibers, together with a well-defined and homogenous membrane structure, ensures a proton conductivity exceeding 1 mS cm<sup>-1</sup>at 30 °C between 65 and 95 % RH. This is two orders of magnitude larger than previously reported values for cellulose materials and only one order of magnitude lower than Nafion 212. Moreover, the CNF membranes are characterized by a lower hydrogen crossover than Nafion, despite being ≈ 30 % thinner. Thanks to their environmental compatibility and promising fuel cell performance the CNF membranes should be considered for new generation proton exchange membrane fuel cells.<br>


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