Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/164035
Title: Application of self-adaptive temperature recognition in cold-start of an air-cooled proton exchange membrane fuel cell stack
Authors: Yu, Xianxian
Chang, Huawei
Zhao, Junjie
Tu, Zhengkai
Chan, Siew Hwa
Keywords: Engineering
Issue Date: 2022
Source: Yu, X., Chang, H., Zhao, J., Tu, Z. & Chan, S. H. (2022). Application of self-adaptive temperature recognition in cold-start of an air-cooled proton exchange membrane fuel cell stack. Energy and AI, 9, 100155-. https://dx.doi.org/10.1016/j.egyai.2022.100155
Journal: Energy and AI 
Abstract: The Self-adaptive control of the temperature can achieve the start of fuel cell at different operating temperatures, which is very important for the successful cold-start of the air-cooled PEMFC. The temperature distribution characteristics during the cold-start process were analyzed based on adaptive temperature recognition control in this paper. Preheating model and cold-start model were established and the optimal balance between the hot air flow rate and the temperature required to promote a uniform temperature distribution in the stack was explored in the preheating stage. Finally, the non-equilibrium mass transfer, as well as the temperature rise in the catalyst layer and gas diffusion layer with different current densities, were analyzed in the start-up stage. The results indicate that the air-cooled PEMFC stack can be successfully started up at -40 °C within 10 min by means of external gas heating. The current density and air velocity have significant impacts on the temperature of air-cooled PEMFC stack. Dynamic analysis of air-cooled PEMFCs and real-time monitoring are suitable for machine learning and self-adaptive control to set the operation parameters to achieve successful cold start. Optimize the matching of load current and cathode inlet speed to achieve thermal management in low temperature environment.
URI: https://hdl.handle.net/10356/164035
ISSN: 2666-5468
DOI: 10.1016/j.egyai.2022.100155
Rights: © 2022 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:ERI@N Journal Articles

Files in This Item:
File Description SizeFormat 
1-s2.0-S2666546822000167-main.pdf9.51 MBAdobe PDFThumbnail
View/Open

SCOPUSTM   
Citations 20

11
Updated on Feb 1, 2023

Page view(s)

20
Updated on Feb 5, 2023

Download(s)

3
Updated on Feb 5, 2023

Google ScholarTM

Check

Altmetric


Plumx

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.