Multi-parameter optimization of stepwise distribution of parameters of gas diffusion layer and catalyst layer for PEMFC peak power density

Rui Jiao Yu, Hang Guo, Fang Ye and Hao Chen

Applied Energy, 2022, vol. 324, issue C, No S0306261922010467

Abstract: Gas diffusion layer and catalyst layer are important parts in a proton exchange membrane fuel cell, and the structure parameters can affect cell performance. Because the electrochemical reaction inside the cell is not uniform, it is particularity important to explore the uneven distribution of each structure parameter. Thus, a fuel cell model including agglomerate and optimization algorithm is built to study the optimal step-wise parameter distribution. These parameters include cathode gas diffusion layer porosity, platinum loading, ionomer content and carbon loading inside cathode catalyst layer. The four parameters are calculated comprehensively to obtain the optimal three segments distribution along three directions of the coordinate axis. The results show that the parameters obtained are various at different voltages and directions. The results along Z-Axis has the best positive effect on cell performance. In the results no matter which direction is, the maximum peak power density all occurs when the optimization voltage is 0.4 V. The cell can operate in wide voltage range by selecting the parameters obtained at 0.4 V along Z-Axis, and the current density can be improved at least 1.859 %. Bidirectional mass transfer at the interface between two domains can be enhanced for the model with optimal parameters.

Keywords: Proton exchange membrane fuel cell; Step-wise distribution; Optimization; Porosity of cathode gas diffusion layer; Structure parameters of cathode catalyst layer (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0306261922010467
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:appene:v:324:y:2022:i:c:s0306261922010467

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/bibliographic
http://www.elsevier. ... 405891/bibliographic

DOI: 10.1016/j.apenergy.2022.119764

Access Statistics for this article

Applied Energy is currently edited by J. Yan

More articles in Applied Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().