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Cited by 85Fuel Cells and Related MaterialsAdvancements in Solid Oxide Fuel CellsElectric and Hybrid Vehicle Technologies

The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.

In-situ measurement of temperature and humidity distribution in gas channels for commercial-size proton exchange membrane fuel cells

Shao, Heng, Qiu, Diankai, Peng, Linfa, Yi, Peiyun, Lai, Xinmin·2019·Journal of Power Sources

Abstract

Abstract It is necessary to obtain internal heat and water distribution of proton exchange membrane fuel cells in order to perform water-heat management. Most of the existing works focus on the measurement in small experimental fuel cells, which cannot effectively guide the development of large-area fuel cells. In this study, an in-situ measurement method using micro-sensors is developed to observe the temperature and relative humidity in a commercial-size fuel cell with parallel flow fields and an active area of 250 cm2. A sensor array is incorporated into the cathode flow field, and well-designed waterproof and sealing structures protect sensors from liquid water. The sensors are verified with accuracy and response speed. The fuel cell performance and electrochemical impedance spectroscopy under co-flow and counter-flow configurations considering anode gas humidification are investigated. The results show that the temperature distribution is more uneven in the cases with lower output voltage, and the fuel cell performance is significantly affected by the humidity near the air inlet area. As current density increases, the relative humidity drops while dew point temperature keeps almost unchanged. The experimental method and analysis are beneficial to the understanding of the water-heat state and optimization of fuel cell stack design.

Overview

Integrity signals

Registry

Crossref · 10.1016/j.jpowsour.2018.12.008

Cites

29 of 29 references verified0 citation errors · 0 not checkable

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Citations

Cites

Cited by

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Metadata

Authors
Shao, H., Qiu, D., Peng, L., Yi, P., & Lai, X.
Affiliations
Shanghai Jiao Tong University (CN)
Corresponding author
Lai, Xinmin
Venue
Journal of Power Sources
Publisher
Elsevier BV
Published
2019-02
Volume
412
Pages
717-724
ISSN
0378-7753 (ISSN-L)
OpenAlex
W2903983544
Cited by
85
References
29
Citations by year
2026: 8 · 2025: 10 · 2024: 17 · 2023: 8 · 2022: 11 · 2021: 13 · 2020: 13 · 2019: 5
FWCI
2.97
Type
journal article
Language
en
Open access
closed
Licence
  • www.elsevier.com/tdm/userlicense/1.0/ (tdm)
  • www.elsevier.com/legal/tdmrep-license (tdm)
Locations
Journal of Power Sources (publishedVersion)
Funders
  • National Natural Science Foundation of China (51705308)
  • National Basic Research Program of China (2017YFB0102900)
Topics
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Fuel Cells and Related Materials
  • Physical Sciences › Materials Science › Materials Chemistry › Advancements in Solid Oxide Fuel Cells
  • Physical Sciences › Engineering › Automotive Engineering › Electric and Hybrid Vehicle Technologies
Keywords
proton exchange membrane fuel cells, in-situ temperature measurement, relative humidity distribution, gas channels, cathode flow field, parallel flow field, dew point, large-area fuel cells, fuel cell stack design

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.