Cold start performance analysis of PEMFC with different assisted heating strategies

Large-scale use of proton exchange membrane fuel cell (PEMFC) is restricted by the challenge of cold start. A three-dimensional, transient, multiphase flow cold-start model is established to investigate the effects of different assisted heating strategies. The variations of ice volume fraction and temperature distribution of catalyst layer and their influences on cold start performance of PEMFC are discussed in detail, under coolant-assisted heating strategy, air-assisted heating strategy and the combination of two strategies at −20 °C. The results show that coolant-assisted heating strategy has significant effect on the cold start performance. There is an appropriate coolant flow velocity and heating power to balance cold start performance and energy consumption. Air-assisted heating strategy has minimal improvement on the cold start performance. Moreover, an interesting point is that on the basis of coolant-assisted heating adoption, the heat brought by the air-assisted heating although not much but can effectively improve water storage capacity of the ionomer. This makes the combination of two strategies has more excellent cold start performance, namely, catalyst layer's ice volume fraction decreases by 7.7 % and cold start time shortens by 2 s, compared to coolant-assisted heating, which provides valuable information for practical cold start strategy design of PEMFC.

Authors

Institutions

Publication Details

Journal
Case Studies in Thermal Engineering
Published
2025-04-26
DOI
https://doi.org/10.1016/j.csite.2025.106178
Citations
3
Primary Topic
Fuel Cells and Related Materials
Type
article
Field-Weighted Citation Impact
2.19

Funders

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

Cold start performance analysis of PEMFC with different assisted heating strategies

Changqing Du, Qianqian Xin, Jianjun Yang, Fuwu Yan et al.
3 citations
Case Studies in Thermal Engineering
Fuel Cells and Related Materials
2.19
article

Cold start performance analysis of PEMFC with different assisted heating strategies

Changqing Du, Qianqian Xin, Jianjun Yang, Fuwu Yan, Wenhao Li, Jie Zhao
article en
3 citations

Abstract

Large-scale use of proton exchange membrane fuel cell (PEMFC) is restricted by the challenge of cold start. A three-dimensional, transient, multiphase flow cold-start model is established to investigate the effects of different assisted heating strategies. The variations of ice volume fraction and temperature distribution of catalyst layer and their influences on cold start performance of PEMFC are discussed in detail, under coolant-assisted heating strategy, air-assisted heating strategy and the combination of two strategies at −20 °C. The results show that coolant-assisted heating strategy has significant effect on the cold start performance. There is an appropriate coolant flow velocity and heating power to balance cold start performance and energy consumption. Air-assisted heating strategy has minimal improvement on the cold start performance. Moreover, an interesting point is that on the basis of coolant-assisted heating adoption, the heat brought by the air-assisted heating although not much but can effectively improve water storage capacity of the ionomer. This makes the combination of two strategies has more excellent cold start performance, namely, catalyst layer's ice volume fraction decreases by 7.7 % and cold start time shortens by 2 s, compared to coolant-assisted heating, which provides valuable information for practical cold start strategy design of PEMFC.

Case Studies in Thermal EngineeringVol. 71
Wuhan University of Technology (CN), Ji Hua Laboratory (CN)
Ministry of Science and Technology of the People's Republic of China, Science and Technology Department of Hubei Province, National Key Research and Development Program of China, Hubei Provincial Central Guidance Local Science and Technology Development Project
Affordable and clean energy
Openalex Percentile: Top 13%
Fuel Cells and Related Materials
2.19
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.