System Identification of the PEMFCs based on Balanced Manta-Ray Foraging Optimization algorithm
The present paper proposes a new optimal method for modeling and simulating of a proton exchange membrane fuel cell (PEMFC) system. The main idea is to minimize the Sum of Squared Error (SSE) between the experimental and the estimated output voltages to achieve the maximum agreement between them. To...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2020-11-01
|
Series: | Energy Reports |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484720313561 |
id |
doaj-fb90ecefa82e4f6db0f87e8c7a6727ff |
---|---|
record_format |
Article |
spelling |
doaj-fb90ecefa82e4f6db0f87e8c7a6727ff2020-12-23T05:01:42ZengElsevierEnergy Reports2352-48472020-11-01628872896System Identification of the PEMFCs based on Balanced Manta-Ray Foraging Optimization algorithmBiqi Sheng0Tianhong Pan1Yun Luo2Kittisak Jermsittiparsert3School of Electrical Information & Engineering, Jiangsu University, Zhenjiang, Jiangsu, 212013, China; China Coast Guard Academy, Ningbo, Zhejiang, 315800, China; Corresponding author at: School of Electrical Information & Engineering, Jiangsu University, Zhenjiang, Jiangsu, 212013, China.School of Electrical Information & Engineering, Jiangsu University, Zhenjiang, Jiangsu, 212013, ChinaChina Coast Guard Academy, Ningbo, Zhejiang, 315800, ChinaInstitute of Research and Development, Duy Tan University, Da Nang 550000, Viet Nam; Faculty of Information Technology, Duy Tan University, Da Nang 550000, Viet Nam; MBA School, Henan University of Economics and Law, Henan 450046, China; Corresponding author at: Faculty of Information Technology, Duy Tan University, Da Nang 550000, Viet Nam.The present paper proposes a new optimal method for modeling and simulating of a proton exchange membrane fuel cell (PEMFC) system. The main idea is to minimize the Sum of Squared Error (SSE) between the experimental and the estimated output voltages to achieve the maximum agreement between them. To minimize the error value, a modified metaheuristic, called Balanced Manta-Ray Foraging Optimization (BMRFO) algorithm has been designed. The designed algorithm is proposed for resolving the algorithm premature convergence and to improve the algorithm diversity. By performing 30 independent runs for the suggested BMRFO algorithm and comparing it with some other algorithms from the literature, it is observed that the proposed method gives better convergency in speed and accuracy.http://www.sciencedirect.com/science/article/pii/S2352484720313561Proton exchange membrane fuel cellModel identificationVoltage estimationBalanced Manta-Ray Foraging Optimization algorithm |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Biqi Sheng Tianhong Pan Yun Luo Kittisak Jermsittiparsert |
spellingShingle |
Biqi Sheng Tianhong Pan Yun Luo Kittisak Jermsittiparsert System Identification of the PEMFCs based on Balanced Manta-Ray Foraging Optimization algorithm Energy Reports Proton exchange membrane fuel cell Model identification Voltage estimation Balanced Manta-Ray Foraging Optimization algorithm |
author_facet |
Biqi Sheng Tianhong Pan Yun Luo Kittisak Jermsittiparsert |
author_sort |
Biqi Sheng |
title |
System Identification of the PEMFCs based on Balanced Manta-Ray Foraging Optimization algorithm |
title_short |
System Identification of the PEMFCs based on Balanced Manta-Ray Foraging Optimization algorithm |
title_full |
System Identification of the PEMFCs based on Balanced Manta-Ray Foraging Optimization algorithm |
title_fullStr |
System Identification of the PEMFCs based on Balanced Manta-Ray Foraging Optimization algorithm |
title_full_unstemmed |
System Identification of the PEMFCs based on Balanced Manta-Ray Foraging Optimization algorithm |
title_sort |
system identification of the pemfcs based on balanced manta-ray foraging optimization algorithm |
publisher |
Elsevier |
series |
Energy Reports |
issn |
2352-4847 |
publishDate |
2020-11-01 |
description |
The present paper proposes a new optimal method for modeling and simulating of a proton exchange membrane fuel cell (PEMFC) system. The main idea is to minimize the Sum of Squared Error (SSE) between the experimental and the estimated output voltages to achieve the maximum agreement between them. To minimize the error value, a modified metaheuristic, called Balanced Manta-Ray Foraging Optimization (BMRFO) algorithm has been designed. The designed algorithm is proposed for resolving the algorithm premature convergence and to improve the algorithm diversity. By performing 30 independent runs for the suggested BMRFO algorithm and comparing it with some other algorithms from the literature, it is observed that the proposed method gives better convergency in speed and accuracy. |
topic |
Proton exchange membrane fuel cell Model identification Voltage estimation Balanced Manta-Ray Foraging Optimization algorithm |
url |
http://www.sciencedirect.com/science/article/pii/S2352484720313561 |
work_keys_str_mv |
AT biqisheng systemidentificationofthepemfcsbasedonbalancedmantarayforagingoptimizationalgorithm AT tianhongpan systemidentificationofthepemfcsbasedonbalancedmantarayforagingoptimizationalgorithm AT yunluo systemidentificationofthepemfcsbasedonbalancedmantarayforagingoptimizationalgorithm AT kittisakjermsittiparsert systemidentificationofthepemfcsbasedonbalancedmantarayforagingoptimizationalgorithm |
_version_ |
1724373482114908160 |