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Dataset results
7 results for “PEM Fuel Cells”
Dataset for "Impact of the flow-field distribution channel cross-section geometry on PEM fuel cell performance: stamped vs. milled channel"
<p>Experimental data comprises raw data from load curve characterisation of a PEM fuel cell used for the validation of the mathematical model. Model data comprise of space-dependent values of hydrogen and oxygen concentration, local current densities, gas pressures and gas velocities in the modelled cell. These data were used for the investigation of the effect of different geometric parameters of flow-field channels on the performance of a PEM fuel cell.</p>
Dataset of "Capabilities of a novel electrochemical cell for operando XAS and SAXS investigations for PEM fuel cells and water electrolysers"
<p>With this work we present a reversible electrochemical cell and introduce a valuable approach, suitable for being used either for in operando X-Ray Absorption Spectroscopy (XAS) and Small Angle X-Ray Scattering (SAXS). The reversible electrochemical cell was used to depict the time-resolved degradation of a Pt/C catalyst material for Proton Exchange Membrane Fuel Cells (PEMFC). The evolution of the specific electrochemical active surface area (ECSA) was coupled to the evolution of morphological parameters, supported by the analysis of Pt oxidation state. As a result, we obtain a coherent picture in which: the increase of particle (and particle cluster) size is connected to the diminishing of ECSA and to the changes in the fraction of metallic Pt, detailing as the evolution develops in the first 2000 cycles, as previously observed on catalyst model systems. Finally, we introduce some preliminary results underlying the change in Ir oxidation state for a commercial Ir/IrO X catalyst material for PEM water electrolysers and showing as this change is not sufficient to induce any remarkable morphological variations within 500 cycles of accelerated stress tests.</p>
Data generated by the model presented in the research article entitled "Simulation of mass and heat transfer in an evaporatively cooled PEM fuel cell"
<p>This repository provides all the data and scripts necessary to reproduce the line plots shown in the manuscript entitled "Simulation of mass and heat transfer in an evaporatively cooled PEM fuel cell".</p>
Dataset to: Realistic accelerated stress tests for PEM fuel cells: Test procedure development based on standardized automotive driving cycles
<p>This is the dataset to the published article "Realistic accelerated stress tests for PEM fuel cells: Test procedure development based on standardized automotive driving cycles" (DOI: 10.1016/j.ijhydene.2023.08.292) in which the degradation of two commercial PEM fuel cell stacks was analyzed. <strong>Please cite this publication if you use the dataset in a publication as follows</strong>:</p> <p>P. Thiele, Y. Yang, S. Dirkes, M. Wick, S. Pischinger, Realistic accelerated stress tests for PEM fuel cells: Test procedure development based on standardized automotive driving cycles, Int. J. Hydrogen Energy 52 (Part D) (2024) 1065–1080, https://doi.org/10.1016/j.ijhydene.2023.08.292.</p>
Low-frequency EIS intercept as a diagnostic tool for PEM fuel cells degradation
<p>Several diagnostic tests, such as polarization curves, electrochemical impedance spectroscopy (EIS), and cyclic voltammetry (CV), were conducted periodically to monitor performance degradation during an accelerated stress test (AST) for catalyst degradation on a single proton exchange membrane (PEM) fuel cell, which involves voltage cycling. From the results of the EIS measurements taken during the AST at three different current densities, catalyst degradation is clearly shown. The lowfrequency intercept (Total R) increased most significantly. The simulation results with an 11-element impedance model show very good agreement with experimental data and consistency with the polarization change curves and CV. The obtained impedance at Total R is purely real, and it can be a useful and perhaps sufficient indicator for catalyst degradation and determination of the cell current state from just one parameter value, which is very promising for the future implementation in the PEM fuel cell control system</p>
Electrochemical low-frequency impedance spectroscopy algorith for diagnostics of PEM fuel cell degradation
<p>In order to estimate fuel-cell degradation status on-line and inexpensively, a diagnostic technique based on relay feedback is developed. The technique can obtain critical parameters within seconds of start-up and is robust to measurement bias.</p> <p>Electrochemical impedance spectroscopy (EIS) is a popular laboratory technique to perform diagnostics on electrochemical systems such as fuel cells, but its application to real-life fuel-cell systems is difficult because of the size and cost of the apparatus. In this study, we present a more detailed equivalent-circuit model for a PEM fuel cell, able to explain the positive reactance shown at low frequencies.</p> <p>Some of these characteristics, measured at several stages during an Accelerated Stress Test (AST), progress gradually with catalyst degradation, providing an effective prognostic variable. In order to measure these characteristics, a relay-based feedback excitation algorithm is developed to estimate the low-frequency intercept in the Nyquist plane of the cell impedance without resorting to a full-fledged EIS.</p> <p>The simulations indicate that the algorithm converges to an estimate within about 5 seconds, and is robust to bias. The algorithm can be run within the standard control system that fuel cells are usually equipped with, with no additional hardware.</p>
Dataset for the paper "A catalyst layer optimisation approach using electrochemical impedance spectroscopy for PEM fuel cells operated with pyrolysed transition metal-N-C catalysts", J Power Sources, 2016, DOI: 10.1016/j.jpowsour.2016.05.035
<p>Data file for paper:"A catalyst layer optimisation approach using electrochemical impedance spectroscopy for PEM fuel cells operated with pyrolysed transition metal-N-C catalysts"</p> <p>Daniel Malko, Thiago Lopes, Edson A. Ticianelli, Anthony Kucernak</p> <p>Journal of Power Sources, 2016</p> <p>DOI: 10.1016/j.jpowsour.2016.05.035</p> <p>Please cite the above paper if you use this data</p>
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