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Nonlinear model predictive control of PEMFC anode hydrogen circulation system based on dynamic coupling analysis

Yun Zhu Orcid Logo, Jianxiao Zou Orcid Logo, Shuai Li Orcid Logo, Chao Peng Orcid Logo, Yucen Xie Orcid Logo

International Journal of Hydrogen Energy, Volume: 48, Issue: 6, Pages: 2385 - 2400

Swansea University Author: Shuai Li Orcid Logo

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DOI (Published version): 10.1016/j.ijhydene.2022.09.306

Abstract

Anode hydrogen circulation system with purge valve has become one of the most effective ways for proton exchange membrane fuel cell (PEMFC) to alleviate performance degradation caused by nitrogen permeation and improve the hydrogen utilization rate. However, nonlinearity and multivariable coupling o...

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Published in: International Journal of Hydrogen Energy
ISSN: 0360-3199
Published: Elsevier BV 2023
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URI: https://cronfa.swan.ac.uk/Record/cronfa61807
first_indexed 2022-11-28T14:42:56Z
last_indexed 2024-11-14T12:19:46Z
id cronfa61807
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spelling 2023-06-01T14:50:20.2259431 v2 61807 2022-11-08 Nonlinear model predictive control of PEMFC anode hydrogen circulation system based on dynamic coupling analysis 42ff9eed09bcd109fbbe484a0f99a8a8 0000-0001-8316-5289 Shuai Li Shuai Li true false 2022-11-08 ACEM Anode hydrogen circulation system with purge valve has become one of the most effective ways for proton exchange membrane fuel cell (PEMFC) to alleviate performance degradation caused by nitrogen permeation and improve the hydrogen utilization rate. However, nonlinearity and multivariable coupling of the system make it difficult for PEMFC to achieve pressure and hydrogen supply synchronous tracking under complex operating conditions. To solve the problem, a novel nonlinear model predictive control scheme based on coupling analysis is proposed in this paper. Firstly, coupling characteristics of the hydrogen circulation system and the control pairing of the multivariable system are analyzed based on the relative gain array method. Then a novel control scheme based on an adaptive model predictive controller and a nonlinear model predictive controller is designed to keep the anode pressure stable and sufficient hydrogen supply, which use nonlinear observers to estimate the internal states online. Finally, the proposed controllers are implemented in control experiments of a 50 kW PEMFC anode hydrogen circulation system. The results demonstrate that the proposed control approach has great dynamic performance, anti-disturbance ability and can maintain a high hydrogen utilization rate under purge operation, current disturbance and uncertain intake pressure. Journal Article International Journal of Hydrogen Energy 48 6 2385 2400 Elsevier BV 0360-3199 Proton exchange membrane fuel cell (PEMFC); Anode hydrogen circulation system; Coupling analysis; Nonlinear model predictive control 19 1 2023 2023-01-19 10.1016/j.ijhydene.2022.09.306 http://dx.doi.org/10.1016/j.ijhydene.2022.09.306 COLLEGE NANME Aerospace, Civil, Electrical, and Mechanical Engineering COLLEGE CODE ACEM Swansea University This work was supported by the National Nature Science Foundation of China (Grant No. 61973054). 2023-06-01T14:50:20.2259431 2022-11-08T10:12:00.8183208 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Mechanical Engineering Yun Zhu 0000-0002-2753-5975 1 Jianxiao Zou 0000-0002-8676-8322 2 Shuai Li 0000-0001-8316-5289 3 Chao Peng 0000-0003-1150-1903 4 Yucen Xie 0000-0002-3233-7308 5
title Nonlinear model predictive control of PEMFC anode hydrogen circulation system based on dynamic coupling analysis
spellingShingle Nonlinear model predictive control of PEMFC anode hydrogen circulation system based on dynamic coupling analysis
Shuai Li
title_short Nonlinear model predictive control of PEMFC anode hydrogen circulation system based on dynamic coupling analysis
title_full Nonlinear model predictive control of PEMFC anode hydrogen circulation system based on dynamic coupling analysis
title_fullStr Nonlinear model predictive control of PEMFC anode hydrogen circulation system based on dynamic coupling analysis
title_full_unstemmed Nonlinear model predictive control of PEMFC anode hydrogen circulation system based on dynamic coupling analysis
title_sort Nonlinear model predictive control of PEMFC anode hydrogen circulation system based on dynamic coupling analysis
author_id_str_mv 42ff9eed09bcd109fbbe484a0f99a8a8
author_id_fullname_str_mv 42ff9eed09bcd109fbbe484a0f99a8a8_***_Shuai Li
author Shuai Li
author2 Yun Zhu
Jianxiao Zou
Shuai Li
Chao Peng
Yucen Xie
format Journal article
container_title International Journal of Hydrogen Energy
container_volume 48
container_issue 6
container_start_page 2385
publishDate 2023
institution Swansea University
issn 0360-3199
doi_str_mv 10.1016/j.ijhydene.2022.09.306
publisher Elsevier BV
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Mechanical Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Mechanical Engineering
url http://dx.doi.org/10.1016/j.ijhydene.2022.09.306
document_store_str 0
active_str 0
description Anode hydrogen circulation system with purge valve has become one of the most effective ways for proton exchange membrane fuel cell (PEMFC) to alleviate performance degradation caused by nitrogen permeation and improve the hydrogen utilization rate. However, nonlinearity and multivariable coupling of the system make it difficult for PEMFC to achieve pressure and hydrogen supply synchronous tracking under complex operating conditions. To solve the problem, a novel nonlinear model predictive control scheme based on coupling analysis is proposed in this paper. Firstly, coupling characteristics of the hydrogen circulation system and the control pairing of the multivariable system are analyzed based on the relative gain array method. Then a novel control scheme based on an adaptive model predictive controller and a nonlinear model predictive controller is designed to keep the anode pressure stable and sufficient hydrogen supply, which use nonlinear observers to estimate the internal states online. Finally, the proposed controllers are implemented in control experiments of a 50 kW PEMFC anode hydrogen circulation system. The results demonstrate that the proposed control approach has great dynamic performance, anti-disturbance ability and can maintain a high hydrogen utilization rate under purge operation, current disturbance and uncertain intake pressure.
published_date 2023-01-19T14:20:09Z
_version_ 1821324931806265344
score 11.048042

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