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作者:

Yu, Rui Jiao (Yu, Rui Jiao.) | Guo, Hang (Guo, Hang.) | Ye, Fang (Ye, Fang.)

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EI Scopus SCIE

摘要:

Due to the internal fiber structure and extrusion in the assembly process of fuel cell, the gas diffusion layer presents various characteristics in different directions, which makes transmission coefficients show anisotropy and affects overall cell performance. In order to predict the performance and understand influence of coefficient anisotropy, a more accurate model should be found. In this work, a three-dimensional, non-isothermal, twophase agglomerate model considering the porosity difference of gas diffusion layer under rib and channel is established. The influence of conductivity, thermal conductivity, permeability and diffusion coefficient on overall cell performance is investigated by numerical simulation. The results show that diffusion coefficient anisotropy should be considered during numerical simulation when cell voltage is less than or equals to 0.5 V. The conductivity anisotropy should be taken into account when cell voltage is greater than 0.5 V. Compared with isotropic model, electron potential in cathode side increases and current density decreases for conductivity anisotropy model, cell temperature in thermal conductivity anisotropy model is higher, dissolved and liquid water content in permeability anisotropy model increase, local current density in diffusion coefficient anisotropy model is lower. The influence of each coefficient on cell characteristic is various at different voltages.

关键词:

Performance Transmission coefficients anisotropy Proton exchange membrane fuel cell Gas diffusion layer

作者机构:

  • [ 1 ] [Guo, Hang]Beijing Univ Technol, Coll Energy & Power Engn, MOE Key Lab Enhanced Heat Transfer & Energy Conser, Beijing 100124, Peoples R China
  • [ 2 ] [Guo, Hang]Beijing Univ Technol, Coll Energy & Power Engn, Beijing Key Lab Heat Transfer & Energy Convers, Beijing 100124, Peoples R China

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来源 :

ELECTROCHIMICA ACTA

ISSN: 0013-4686

年份: 2022

卷: 414

6 . 6

JCR@2022

6 . 6 0 0

JCR@2022

ESI学科: CHEMISTRY;

ESI高被引阀值:53

JCR分区:2

中科院分区:2

被引次数:

WoS核心集被引频次: 18

SCOPUS被引频次: 21

ESI高被引论文在榜: 0 展开所有

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