Unlocking Proton Exchange Membrane Fuel Cell Performance with Porous PtCoV Alloy Catalysts

Carbon-supported Pt-based catalysts in fuel cells often suffer from sulfonate poisoning, reducing Pt utilization and activity. Herein, a straightforward strategy is developed for synthesizing a porous PtCoV nanoalloy embedded within the porous structures of carbon nanofibers. Incorporation of vanadium (V) atoms into the PtCo alloy optimizes the oxygen binding energy of Pt sites, while heightening the dissolution energy barrier for both Pt and Co atoms, leading to a significantly enhanced intrinsic activity and durability of the catalyst. By encapsulating the nanoalloys within porous nanofibers, a non-contact Pt-ionomer interface is created to mitigate the poisoning effect of sulfonate groups to Pt sites, while promoting oxygen permeation and allowing proton transfer. This rational architecture liberates additional active Pt sites, while the evolved porous nanostructure of the PtCoV alloy extends its exposed surface area, thereby boosting Pt utilization within the catalytic layer and overall fuel cell performance. The optimized catalyst demonstrates an exceptional peak power density of 29.0 kW g<sub>Pt</sub> <sup>-1</sup> and an initial mass activity of 0.69 A mg<sub>Pt</sub> <sup>-1</sup>, which exceeds the U.S. Department of Energy 2025 targets. This study provides a promising avenue for developing highly active and durable low-Pt electrocatalysts for fuel cell applications.

Authors

Institutions

Publication Details

Journal
Advanced Materials
Published
2025-05-02
DOI
https://doi.org/10.1002/adma.202502457
Citations
16
Primary Topic
Electrocatalysts for Energy Conversion
Type
article
Field-Weighted Citation Impact
5.82

Funders

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

Unlocking Proton Exchange Membrane Fuel Cell Performance with Porous PtCoV Alloy Catalysts

Haiyuan Chen, Zhaozhao Zhu, Xueqiang Qi, Daniel John Blackwood et al.
16 citations
Advanced Materials
Electrocatalysts for Energy Conversion
5.82
article

Unlocking Proton Exchange Membrane Fuel Cell Performance with Porous PtCoV Alloy Catalysts

Haiyuan Chen, Zhaozhao Zhu, Xueqiang Qi, Daniel John Blackwood, Jun Song Chen, Rui Fen Wu, Jiayu Zuo, Junjie Wang, Lei Zhao, Xiaobin Niu
article en
16 citations

Abstract

Carbon-supported Pt-based catalysts in fuel cells often suffer from sulfonate poisoning, reducing Pt utilization and activity. Herein, a straightforward strategy is developed for synthesizing a porous PtCoV nanoalloy embedded within the porous structures of carbon nanofibers. Incorporation of vanadium (V) atoms into the PtCo alloy optimizes the oxygen binding energy of Pt sites, while heightening the dissolution energy barrier for both Pt and Co atoms, leading to a significantly enhanced intrinsic activity and durability of the catalyst. By encapsulating the nanoalloys within porous nanofibers, a non-contact Pt-ionomer interface is created to mitigate the poisoning effect of sulfonate groups to Pt sites, while promoting oxygen permeation and allowing proton transfer. This rational architecture liberates additional active Pt sites, while the evolved porous nanostructure of the PtCoV alloy extends its exposed surface area, thereby boosting Pt utilization within the catalytic layer and overall fuel cell performance. The optimized catalyst demonstrates an exceptional peak power density of 29.0 kW g<sub>Pt</sub> <sup>-1</sup> and an initial mass activity of 0.69 A mg<sub>Pt</sub> <sup>-1</sup>, which exceeds the U.S. Department of Energy 2025 targets. This study provides a promising avenue for developing highly active and durable low-Pt electrocatalysts for fuel cell applications.

Advanced MaterialsVol. 37(34)
University of Electronic Science and Technology of China (CN), National University of Singapore (SG), Chengdu Technological University, Qingdao University of Technology (CN), Chongqing University of Technology (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 3%
Electrocatalysts for Energy Conversion
5.82
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.