Modeling and Control Strategies of Proton Exchange Membrane Fuel Cells

Yuanxin Qi; Marcus Thern; Mayken Espinoza-Andaluz; Martin Andersson

doi:10.1016/j.egypro.2018.12.017

Modeling and Control Strategies of Proton Exchange Membrane Fuel Cells

Yuanxin Qi, Marcus Thern, Mayken Espinoza-Andaluz, Martin Andersson

Escuela Superior Politécnica del Litoral (ESPOL)

Research output: Contribution to journal › Article › peer-review

Abstract

In this work, comprehensive mathematical models for polymer electrolyte fuel cells (PEFCs) with three different controllers (PID, FOPID and fuzzy + PID) are developed. The models are designed to control the PEMFCs' output voltage at a determined value by indirectly regulating the input hydrogen mass flow rate. The simulation results show that the developed model is well suitable for characterizing the performance a PEFC. The developed controllers are effective in stabilizing the voltage, the fuzzy + PID controller exhibits superior performance with smaller overshoot and faster response.

Original language	English
Pages (from-to)	54-59
Number of pages	6
Journal	Energy Procedia
Volume	159
DOIs	https://doi.org/10.1016/j.egypro.2018.12.017
Publication status	Published - 2019
Event	2018 Renewable Energy Integration with Mini/Microgrid, REM 2018 - Rhodes, Greece Duration: 2018 Sept 28 → 2018 Sept 30

Subject classification (UKÄ)

Energy Engineering

Free keywords

FOPID controller
fuzzy + PID controller
modeling
PEFCs
PID controller

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10.1016/j.egypro.2018.12.017

Cite this

@article{4868f0cb5ea9457fa65f4cecdfd07df2,

title = "Modeling and Control Strategies of Proton Exchange Membrane Fuel Cells",

abstract = "In this work, comprehensive mathematical models for polymer electrolyte fuel cells (PEFCs) with three different controllers (PID, FOPID and fuzzy + PID) are developed. The models are designed to control the PEMFCs' output voltage at a determined value by indirectly regulating the input hydrogen mass flow rate. The simulation results show that the developed model is well suitable for characterizing the performance a PEFC. The developed controllers are effective in stabilizing the voltage, the fuzzy + PID controller exhibits superior performance with smaller overshoot and faster response.",

keywords = "FOPID controller, fuzzy + PID controller, modeling, PEFCs, PID controller",

author = "Yuanxin Qi and Marcus Thern and Mayken Espinoza-Andaluz and Martin Andersson",

year = "2019",

doi = "10.1016/j.egypro.2018.12.017",

language = "English",

volume = "159",

pages = "54--59",

journal = "Energy Procedia",

issn = "1876-6102",

publisher = "Elsevier",

note = "2018 Renewable Energy Integration with Mini/Microgrid, REM 2018 ; Conference date: 28-09-2018 Through 30-09-2018",

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TY - JOUR

T1 - Modeling and Control Strategies of Proton Exchange Membrane Fuel Cells

AU - Qi, Yuanxin

AU - Thern, Marcus

AU - Espinoza-Andaluz, Mayken

AU - Andersson, Martin

PY - 2019

Y1 - 2019

N2 - In this work, comprehensive mathematical models for polymer electrolyte fuel cells (PEFCs) with three different controllers (PID, FOPID and fuzzy + PID) are developed. The models are designed to control the PEMFCs' output voltage at a determined value by indirectly regulating the input hydrogen mass flow rate. The simulation results show that the developed model is well suitable for characterizing the performance a PEFC. The developed controllers are effective in stabilizing the voltage, the fuzzy + PID controller exhibits superior performance with smaller overshoot and faster response.

AB - In this work, comprehensive mathematical models for polymer electrolyte fuel cells (PEFCs) with three different controllers (PID, FOPID and fuzzy + PID) are developed. The models are designed to control the PEMFCs' output voltage at a determined value by indirectly regulating the input hydrogen mass flow rate. The simulation results show that the developed model is well suitable for characterizing the performance a PEFC. The developed controllers are effective in stabilizing the voltage, the fuzzy + PID controller exhibits superior performance with smaller overshoot and faster response.

KW - FOPID controller

KW - fuzzy + PID controller

KW - modeling

KW - PEFCs

KW - PID controller

U2 - 10.1016/j.egypro.2018.12.017

DO - 10.1016/j.egypro.2018.12.017

M3 - Article

AN - SCOPUS:85063791914

SN - 1876-6102

VL - 159

SP - 54

EP - 59

JO - Energy Procedia

JF - Energy Procedia

T2 - 2018 Renewable Energy Integration with Mini/Microgrid, REM 2018

Y2 - 28 September 2018 through 30 September 2018

ER -

Modeling and Control Strategies of Proton Exchange Membrane Fuel Cells

Abstract

Subject classification (UKÄ)

Free keywords

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