LAPSE:2023.13633
Published Article
LAPSE:2023.13633
Variation Characteristic Analysis of Water Content at the Flow Channel of Proton Exchange Membrane Fuel Cell
Lu Zhang, Yongfeng Liu, Pucheng Pei, Xintong Liu, Long Wang, Yuan Wan
March 1, 2023
The performance of proton exchange membrane fuel cells (PEMFCs) is directly affected by the nonlinear variations in water content. To study the variation in water content and its effect on PEMFC performance, the water condensation rate (WCR) model is established, which determines the proportional relationship between evaporation and condensation rates in terms of the switch function, and the two-phase flow evolution and pressure drop are considered as well. The WCR model is imported into Fluent software through a user-defined function for simulation, and the test system is established under different operating conditions. Then, the contours of H2O molar concentrations and polarization curves are analyzed and compared. The results show that the condensation rate value of the cathode channel is from 1.05 to 1.55 times higher than that of the anode channel. The WCR model can predict the variation in water content and improve the accuracy of the performance calculation by from 9% to 31%. The accuracy of the WCR model is especially improved, by 31%, at high current densities compared with the Fluent model when the inlet pressure is 30 kPa.
Keywords
accuracy, flow channel, Proton Exchange Membrane Fuel Cells, water content, WCR model
Suggested Citation
Zhang L, Liu Y, Pei P, Liu X, Wang L, Wan Y. Variation Characteristic Analysis of Water Content at the Flow Channel of Proton Exchange Membrane Fuel Cell. (2023). LAPSE:2023.13633
Author Affiliations
Zhang L: School of Mechanical-Electronic and Vehicle Engineering, Beijing University of Civil Engineering and Architecture, Beijing 100044, China
Liu Y: School of Mechanical-Electronic and Vehicle Engineering, Beijing University of Civil Engineering and Architecture, Beijing 100044, China; State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing 100084, China
Pei P: State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing 100084, China
Liu X: School of Mechanical-Electronic and Vehicle Engineering, Beijing University of Civil Engineering and Architecture, Beijing 100044, China
Wang L: School of Mechanical-Electronic and Vehicle Engineering, Beijing University of Civil Engineering and Architecture, Beijing 100044, China
Wan Y: School of Mechanical-Electronic and Vehicle Engineering, Beijing University of Civil Engineering and Architecture, Beijing 100044, China
Journal Name
Energies
Volume
15
Issue
9
First Page
3280
Year
2022
Publication Date
2022-04-29
Published Version
ISSN
1996-1073
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PII: en15093280, Publication Type: Journal Article
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LAPSE:2023.13633
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doi:10.3390/en15093280
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