Natl Sci Open
Volume 2, Number 4, 2023
|Number of page(s)||26|
|Published online||06 February 2023|
Towards intelligent and integrated architecture for hydrogen fuel cell system: challenges and approaches
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: firstname.lastname@example.org)
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.
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