Transient behavior of a polymer electrolyte fuel cell operated with humidified gases (ICPSR doi:10.26165/JUELICH-DATA/CBVOJL)

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Transient behavior of a polymer electrolyte fuel cell operated with humidified gases

doi:10.26165/JUELICH-DATA/CBVOJL

Jülich DATA

2024-02-21

1

Froning, Dieter; Zou, Wei; Janßen, Holger; Lehnert, Werner, 2024, "Transient behavior of a polymer electrolyte fuel cell operated with humidified gases", https://doi.org/10.26165/JUELICH-DATA/CBVOJL, Jülich DATA, V1

Transient behavior of a polymer electrolyte fuel cell operated with humidified gases

doi:10.26165/JUELICH-DATA/CBVOJL

Froning, Dieter (Forschungszentrum Jülich GmbH, IEK-14: Electrochemical Process Engineering)

Zou, Wei (Forschungszentrum Jülich GmbH, IEK-14: Electrochemical Process Engineering)

Janßen, Holger (Forschungszentrum Jülich GmbH, IEK-14: Electrochemical Process Engineering)

Lehnert, Werner (Forschungszentrum Jülich GmbH, IEK-14: Electrochemical Process Engineering)

Jülich DATA

Froning, Dieter

Froning, Dieter

2024-02-02

Engineering, Fuel cell, PEFC, experiment, load cycle

A lab scale polymer electrolyte fuel cell (PEFC) with a power of 9 W and an active area of 17.64 cm² was operated with 90% humidity and a stoichiometry factor of two in galvanostatic mode. Load cycles with different parameters of the load ramps were applied to the PEFC, and the dynamic voltages were monitored. The experimental setup is specified in detail by Zou et al. [1] and Zou [2], e. g., in Table 5-1 in [2]. Ramp value and ramp time of the load changes were changed. As an example, the data labeled A1B1 in the table 1 Ramp_parameters.csv is visualized in Figure 5-2 a) in [2]. Different operating conditions were applied, leading to the data shown by Froning et al. [3].

The names of the CSV files contain the terms: A1B1, A1B5, A1B6, A1B8, A4B1, A4B5, A4B6, A4B8, A7B1, A7B5, A7B6, A7B8 specifying ramp parameters according to the table in Ramp_parameters.csv.

CC0 Waiver

10.1016/j.apenergy.2020.115092

[1] W. Zou, D. Froning, Y.Shi, W. Lehnert. A least-squares support vector machine method for modeling transient voltage in polymer electrolyte fuel cells, Applied Energy 271 (2020) 115092, https://doi.org/10.1016/j.apenergy.2020.115092

[2] W. Zou, Machine Learning in Modeling of the Dynamics of Polymer Electrolyte Fuel Cells, PhD thesis, RWTH Aachen University, 2021, http://hdl.handle.net/2128/30164

[3] D. Froning, Y. Shi, H. Janßen, W. Lehnert, Load changes of a polymer electrolyte fuel cell under different operating conditions, Jülich DATA, 2024, https://doi.org/10.26165/JUELICH-DATA/CBVOJ

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A1B1-1.csv

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A1B1-2.csv

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A1B5-1.csv

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A1B5-2.csv

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A1B5-3.csv

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A1B6.csv

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A1B8.csv

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A4B1.csv

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A4B5-1.csv

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A4B5-2.csv

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A4B6.csv

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A4B8.csv

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A7B1.csv

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A7B5.csv

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A7B6.csv

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A7B8.csv

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Ramp_parameters.csv

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