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Low-platinum (Pt) alloy catalysts hold promising application in oxygen reduction reaction (ORR) electrocatalysis of proton-exchange-membrane fuel cells (PEMFCs). Although significant progress has been made to boost the kinetic ORR mass activity at low current densities in liquid half-cells, little attention was paid to the performance of Pt-based catalysts in realistic PEMFCs particularly at high current densities for high power density, which remains poorly understood. In this paper, we show that, regardless of the kinetic mass activity at the low current density region, the high current density performance of the low-Pt alloy catalysts is dominantly controlled by the total Pt surface area, particularly in low-Pt-loading H2–air PEMFCs. To this end, we propose two different strategies to boost the specific Pt surface area, the post-15-nm dealloyed nanoporous architecture and the sub-5-nm solid core–shell nanoparticles (NPs) through fluidic-bed synthesis, both of which bring in comparably high mass activity and high Pt surface area for large-current-density performance. At medium current density, the dealloyed porous NPs provide substantially higher H2–air PEMFC performance compared to solid core–shell catalysts, despite their similar mass activity in liquid half-cells. Scanning transmission electron microscopy images combined with electron energy loss spectroscopic imaging evidence a previously unreported “semi-immersed nanoporous-Pt/ionomer” structure in contrast to a “fully-immersed core–shell-Pt/ionomer” structure, thus favoring O2 transport and improving the fuel cell performance. Our results provide new insights into the role of Pt nanostructures in concurrently optimizing the mass activity, Pt surface area and Pt/Nafion interface for high power density fuel cells.

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Publication history
Copyright
Acknowledgements

Publication history

Received: 04 January 2022
Revised: 10 February 2022
Accepted: 14 February 2022
Published: 21 March 2022
Issue date: July 2022

Copyright

© Tsinghua University Press 2022

Acknowledgements

Acknowledgements

This work was supported by the National Natural Science Foundation of China (Nos. 52173222, 51622103 and 22109088), the Local Innovative and Research Teams Project of Guangdong Pearl River Talents Program (No. 2017BT01N111), Key Area Research and Development Program of Guangdong Province (No. 2020B0909040003), and Shenzhen Science and Technology Innovation Committee (Nos. WDZ20200819115243002 and JCYJ20190809172617313).

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