Adaptive control of oxygen excess ratio in a proton exchange membrane fuel cell system

Proton exchange membrane fuel cell (PEMFC) has drawn extensive attention as alternative energy with high power generation efficiency and low pollution. The dynamic performances of the PEMFC air system in a city bus, including oxygen excess ratio (OER) tracking and compressor movement, are essential...

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Main Authors: Di Wu, Kai Li, Yan Gao, Cong Yin, Hao Tang
Format: Article
Language:English
Published: Elsevier 2022-11-01
Series:Energy Reports
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S235248472200988X
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author Di Wu
Kai Li
Yan Gao
Cong Yin
Hao Tang
author_facet Di Wu
Kai Li
Yan Gao
Cong Yin
Hao Tang
author_sort Di Wu
collection DOAJ
description Proton exchange membrane fuel cell (PEMFC) has drawn extensive attention as alternative energy with high power generation efficiency and low pollution. The dynamic performances of the PEMFC air system in a city bus, including oxygen excess ratio (OER) tracking and compressor movement, are essential for its stability and economy. In this paper, the study is concentrated on the control of OER under current disturbance and parameter uncertainty. To this end, a Lyapunov-based model reference adaptive controller (Lyapunov-MRAC) with PD controller is employed. Lyapunov-MRAC adjusts the controller in time to ensure the output of the plant following the desired reference model, and the PD controller further improves the dynamic performance of the controller. The proposed strategy, traditional Lyapunov-MRAC, and proportional–integral (PI) controller are implemented on a widely accepted nonlinear model describing the dynamics of the air supply system. The simulation results indicate that the proposed strategy outperforms traditional methods in OER tracking and overshoot restriction under current disturbance, and improves the robustness under the perturbation of compressor rotational inertia. In addition, the proposed strategy can reduce the control effort of the compressor so as to prolong the lifetime of the compressor.
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spelling doaj.art-c55a3cf71c24469e9a8b2e587c1fdb832023-01-20T04:25:04ZengElsevierEnergy Reports2352-48472022-11-018328335Adaptive control of oxygen excess ratio in a proton exchange membrane fuel cell systemDi Wu0Kai Li1Yan Gao2Cong Yin3Hao Tang4School of Automation Engineering, University of Electronic Science and Technology of China, No. 2006, Xiyuan Ave, West Hi-Tech Zone, Chengdu, 610023, ChinaSchool of Automation Engineering, University of Electronic Science and Technology of China, No. 2006, Xiyuan Ave, West Hi-Tech Zone, Chengdu, 610023, ChinaSchool of Automation Engineering, University of Electronic Science and Technology of China, No. 2006, Xiyuan Ave, West Hi-Tech Zone, Chengdu, 610023, ChinaSchool of Automation Engineering, University of Electronic Science and Technology of China, No. 2006, Xiyuan Ave, West Hi-Tech Zone, Chengdu, 610023, ChinaCorresponding author.; School of Automation Engineering, University of Electronic Science and Technology of China, No. 2006, Xiyuan Ave, West Hi-Tech Zone, Chengdu, 610023, ChinaProton exchange membrane fuel cell (PEMFC) has drawn extensive attention as alternative energy with high power generation efficiency and low pollution. The dynamic performances of the PEMFC air system in a city bus, including oxygen excess ratio (OER) tracking and compressor movement, are essential for its stability and economy. In this paper, the study is concentrated on the control of OER under current disturbance and parameter uncertainty. To this end, a Lyapunov-based model reference adaptive controller (Lyapunov-MRAC) with PD controller is employed. Lyapunov-MRAC adjusts the controller in time to ensure the output of the plant following the desired reference model, and the PD controller further improves the dynamic performance of the controller. The proposed strategy, traditional Lyapunov-MRAC, and proportional–integral (PI) controller are implemented on a widely accepted nonlinear model describing the dynamics of the air supply system. The simulation results indicate that the proposed strategy outperforms traditional methods in OER tracking and overshoot restriction under current disturbance, and improves the robustness under the perturbation of compressor rotational inertia. In addition, the proposed strategy can reduce the control effort of the compressor so as to prolong the lifetime of the compressor.http://www.sciencedirect.com/science/article/pii/S235248472200988XProton exchange membrane fuel cellSystem modelLyapunov-MRACAdaptive law
spellingShingle Di Wu
Kai Li
Yan Gao
Cong Yin
Hao Tang
Adaptive control of oxygen excess ratio in a proton exchange membrane fuel cell system
Energy Reports
Proton exchange membrane fuel cell
System model
Lyapunov-MRAC
Adaptive law
title Adaptive control of oxygen excess ratio in a proton exchange membrane fuel cell system
title_full Adaptive control of oxygen excess ratio in a proton exchange membrane fuel cell system
title_fullStr Adaptive control of oxygen excess ratio in a proton exchange membrane fuel cell system
title_full_unstemmed Adaptive control of oxygen excess ratio in a proton exchange membrane fuel cell system
title_short Adaptive control of oxygen excess ratio in a proton exchange membrane fuel cell system
title_sort adaptive control of oxygen excess ratio in a proton exchange membrane fuel cell system
topic Proton exchange membrane fuel cell
System model
Lyapunov-MRAC
Adaptive law
url http://www.sciencedirect.com/science/article/pii/S235248472200988X
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AT yangao adaptivecontrolofoxygenexcessratioinaprotonexchangemembranefuelcellsystem
AT congyin adaptivecontrolofoxygenexcessratioinaprotonexchangemembranefuelcellsystem
AT haotang adaptivecontrolofoxygenexcessratioinaprotonexchangemembranefuelcellsystem