Designing a Maze-Structured Gas Diffusion Layer to Extend Water Transport Path for Enhancing the Performance and Stability of Air-Cooled Fuel Cells

The air-cooled fuel cell is a promising energy conversion device. However, the characteristics of forced convection often rapidly expel water from the gas diffusion layer (GDL) into the flow field, which reduces the humidity of the membrane electrode assembly (MEA). Under low-humidity conditions, the proton conductivity of the proton exchange membrane (PEM) decreases, thereby impairing the performance and durability of the air-cooled fuel cell. Inspired by the tortuous transport pathways in the maze model, we designed a GDL with a maze-like structure (M-GDL) to extend the water transport path, thereby increasing the internal humidity of the air-cooled fuel cell. We designed a water evaporation test to verify the water loss resistance of the GDL. The M-GDL exhibits remarkable resistance to water loss, with a rate of 0.35 mg min<sup>-1</sup> cm<sup>-2</sup>, significantly lower than the 0.79 mg min<sup>-1</sup> cm<sup>-2</sup> observed for the commercial GDL. This extended water retention capability leads to a notable increase in the performance of the fuel cell, with a peak power density of 0.77 W cm<sup>-2</sup>, which is more than double that of the commercial GDL, where the peak power density is only 0.4 W cm<sup>-2</sup>. This work presents a strategy to mitigate the issue of low internal humidity in air-cooled fuel cells.

Authors

Institutions

Publication Details

Journal
ACS Applied Materials & Interfaces
Published
2025-05-22
DOI
https://doi.org/10.1021/acsami.5c02254
Citations
3
Primary Topic
Fuel Cells and Related Materials
Type
article
Field-Weighted Citation Impact
2.19

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Designing a Maze-Structured Gas Diffusion Layer to Extend Water Transport Path for Enhancing the Performance and Stability of Air-Cooled Fuel Cells

Qinglin Wen, Jiahao Huang, Xiaochun Zhou, Fandi Ning et al.
3 citations
ACS Applied Materials & Interfaces
Fuel Cells and Related Materials
2.19
article

Designing a Maze-Structured Gas Diffusion Layer to Extend Water Transport Path for Enhancing the Performance and Stability of Air-Cooled Fuel Cells

Qinglin Wen, Jiahao Huang, Xiaochun Zhou, Fandi Ning, Wei Li, Xianxiang Chu, Xingyu Zhu, Xi Cheng, Siyi Zou, Wentao Huang, Xiong Dan
article en
3 citations

Abstract

The air-cooled fuel cell is a promising energy conversion device. However, the characteristics of forced convection often rapidly expel water from the gas diffusion layer (GDL) into the flow field, which reduces the humidity of the membrane electrode assembly (MEA). Under low-humidity conditions, the proton conductivity of the proton exchange membrane (PEM) decreases, thereby impairing the performance and durability of the air-cooled fuel cell. Inspired by the tortuous transport pathways in the maze model, we designed a GDL with a maze-like structure (M-GDL) to extend the water transport path, thereby increasing the internal humidity of the air-cooled fuel cell. We designed a water evaporation test to verify the water loss resistance of the GDL. The M-GDL exhibits remarkable resistance to water loss, with a rate of 0.35 mg min<sup>-1</sup> cm<sup>-2</sup>, significantly lower than the 0.79 mg min<sup>-1</sup> cm<sup>-2</sup> observed for the commercial GDL. This extended water retention capability leads to a notable increase in the performance of the fuel cell, with a peak power density of 0.77 W cm<sup>-2</sup>, which is more than double that of the commercial GDL, where the peak power density is only 0.4 W cm<sup>-2</sup>. This work presents a strategy to mitigate the issue of low internal humidity in air-cooled fuel cells.

ACS Applied Materials & InterfacesVol. 17(22)
University of Science and Technology of China (CN), Chinese Academy of Sciences (CN), Suzhou Institute of Nano-tech and Nano-bionics (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 12%
Fuel Cells and Related Materials
2.19
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.