Fuzzy Control Based on IQPSO in Proton-Exchange Membrane Fuel-Cell Temperature System
Publication: Journal of Energy Engineering
Volume 146, Issue 5
Abstract
The proton-exchange membrane fuel cell (PEMFC) is the most promising fuel cell technology because of the high power density and fast start-up. However, PEMFCs have not yet been commercialized on a large scale due to many technical problems. One of the key challenges for optimum fuel cell performance is maintaining the PEMFC at a proper temperature. This paper proposes a temperature fuzzy control strategy to adjust the stack temperature. A mathematical model of the cooling circuit was established to facilitate the control design. Then a kind of improved quantum particle swarm optimization (IQPSO) was introduced to optimize fuzzy control rules. The established model and fuzzy controllers were simulated and analyzed. The results of proportional integral derivative (PID) control, fuzzy-PID control (FPID), and fuzzy-PID control method with IQPSO algorithm (IQPSO-FPID) were compared. Simulation results showed that the IQPSO-FPID can meet many control objectives and improve control performance.
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Data Availability Statement
All data, models, and code generated or used during the study appear in the published article.
Acknowledgments
The support of this work by the Defense Industrial Technology Development Program (No. JCKY2018605B006), the National Natural Science Foundation of China (No. 51806103), and the Natural Science Foundation of Jiangsu Province (No. BK20170800) is gratefully acknowledged. A very special acknowledgement is made to the editors and referees who made important comments to improve this paper.
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Published In
Journal of Energy Engineering
Volume 146 • Issue 5 • October 2020
Copyright
©2020 American Society of Civil Engineers.
History
Received: Jan 6, 2020
Accepted: Apr 7, 2020
Published online: Jun 26, 2020
Published in print: Oct 1, 2020
Discussion open until: Nov 26, 2020
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