Comparison of the Three-Generation Numerical Models for Proton Exchange Membrane Fuel Cell Multi-physics Prediction

Fan Bai, Pu He, Yu Tong Mu, Wen Quan Tao*

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

Abstract

Nowadays, with the accelerating development of the hydrogen industry, the analysis of proton exchange membrane fuel cell (PEMFC) attracts wide attention. Based on the research process of the authors’ team, the numerical models for PEMFC multi-physics analyses can be classified into three generations according to different thermal and liquid water assumptions. In this paper, the three generation numerical models are compared and analyzed under identical conditions. For the polarization curve, results suggest that under the studied condition, the simulating polarization curve using the third generation model fits best compared with the experimental one. Within the activation polarization control region, the three models result in nearly identical voltage. Within their respective ohmic polarization control regions, the three models result in similar voltage with a maximum relative deviation of 2.2%. Within the concentration polarization control regions, the first generation model will underestimate the concentration polarization while the second generation model will overestimate. For the liquid water, the third generation model can capture liquid saturation jump phenomenon well. The simulating liquid water saturation in the cathode catalyst layer using the second generation model is lower than that using the third generation model.

Original languageEnglish
Title of host publicationAdvances in Computational Heat and Mass Transfer - Proceedings of the 14th International Conference on Computational Heat and Mass Transfer ICCHMT 2023
EditorsAli Cemal Benim, Rachid Bennacer, Abdulmajeed A. Mohamad, Paweł Ocłoń, Jan Taler, Sang-Ho Suh
PublisherSpringer Science and Business Media Deutschland GmbH
Pages601-611
Number of pages11
ISBN (Print)9783031672408
DOIs
Publication statusPublished - 2024
Externally publishedYes
Event14th International Conference on Computational Heat and Mass Transfer, ICCHMT 2023 - Düsseldorf, Germany
Duration: 4 Sept 20238 Sept 2023

Publication series

NameLecture Notes in Mechanical Engineering
ISSN (Print)2195-4356
ISSN (Electronic)2195-4364

Conference

Conference14th International Conference on Computational Heat and Mass Transfer, ICCHMT 2023
Country/TerritoryGermany
CityDüsseldorf
Period4/09/238/09/23

Keywords

  • 3D Multi-Physics Simulation
  • Proton Exchange Membrane Fuel Cell
  • Three Generation Numerical Models

Fingerprint

Dive into the research topics of 'Comparison of the Three-Generation Numerical Models for Proton Exchange Membrane Fuel Cell Multi-physics Prediction'. Together they form a unique fingerprint.

Cite this