Issue |
Natl Sci Open
Volume 2, Number 4, 2023
|
|
---|---|---|
Article Number | 20220038 | |
Number of page(s) | 26 | |
Section | Information Sciences | |
DOI | https://doi.org/10.1360/nso/20220038 | |
Published online | 06 February 2023 |
REVIEW
Towards intelligent and integrated architecture for hydrogen fuel cell system: challenges and approaches
1
Department of Electrical and Electronic Engineering, University of Manchester, Manchester M13 9PL, UK
2
General Motors Canada Company, Oshawa L1J 0C5, Canada
3
School of Engineering, University of Warwick, Coventry CV4 7AL, UK
* Corresponding author (email: zhengtao.ding@manchester.ac.uk)
Received:
6
April
2022
Revised:
26
September
2022
Accepted:
29
September
2022
The hydrogen fuel cell is rapidly attracting research interest for its potential in power generation and electrified transportation. The fuel cell stack (FCS) is a complex system comprising multiple coupled subsystems, and in order to maximize the utilization of an FCS, the system-level design and control can be optimized through modeling, data-based analytics and monitoring. To this end, a systematic overview of the system architecture and control of hydrogen fuel cells is provided in this review, with focus on integration and intelligence. Firstly, the fuel cell subsystems, namely the cathode, anode and cooling loops are reviewed, where their respective control methods and impact on FCS performance are discussed. DC/DC converters are another core component of FCS, and we present an overview of fuel cell DC/DC converter topologies and integrated control of DC/DC converter and air compressor. Finally, the system-level integration of fuel cells in power systems is surveyed. In the conclusions, we discuss the challenges and perspectives concerning the integrated architecture and intelligent control for FCS, including cohesive dynamic models, data-based approaches, and integrated hardware architecture.
Key words: polymer electrolyte membrane fuel cell / system integration / control strategy / DC/DC converter
© The Author(s) 2023. Published by China Science Publishing & Media Ltd. and EDP Sciences.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.