4.7 Article

A new insight into the effects of agglomerate parameters on internal dynamics of proton exchange membrane fuel cell by an advanced impedance dimension model

期刊

ENERGY
卷 253, 期 -, 页码 -

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.energy.2022.124202

关键词

Proton exchange membrane fuel cell; Impedance dimension model; Agglomerate model; Internal dynamics; Cathode catalyst layer

资金

  1. National Key Research and Devel-opment Program of China [2019YFB1504605]

向作者/读者索取更多资源

This paper proposes a two-dimensional multiphase PEM fuel cell impedance model coupled with an improved electrochemical kinetics model, which can reproduce the measured electrochemical impedance spectroscopy (EIS) under different conditions. The effects of five CCL design parameters on the EIS and critical internal dynamics are comprehensively investigated, offering a deeper understanding of the parameters' impact on PEM fuel cell performance.
The oxygen reduction reaction with a relatively slow reaction rate is critical for proton exchange membrane (PEM) fuel cell performance. At present, a substantial part of the previous numerical study respecting the optimization design of the cathode catalyst layer (CCL) mainly focuses on the polarization curve output and oxygen local transport. In this paper, for the first time, a two-dimensional multiphase PEM fuel cell impedance model coupled with an improved electrochemical kinetics model considering the cathode agglomerate construction is proposed, which can reproduce the measured electrochemical impedance spectroscopy (EIS) under different current densities, reactant stoichiometries and inlet humidity only with a single boundary set. Based on this, the effects of five CCL design parameters (Pt loading, carbon loading, catalyst layer thickness, ionomer volume fraction, and agglomerate radius) on the EIS and critical internal dynamics are comprehensively investigated. Meanwhile, each dynamics loss of simulated EIS is identified by the distribution of relaxation time and equivalent circuit model to support quantitative analysis. These works offer a deeper understanding and new insight into the effects of CCL parameters on PEM fuel cell internal dynamics, which can help material optimization and system controller design.(c) 2022 Elsevier Ltd. All rights reserved.

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