A Novel Opposition-Based Arithmetic Optimization Algorithm for Parameter Extraction of PEM Fuel Cell

The model-identification and parameter extraction are a well-defined method for modeling and development purposes of a proton exchange membrane fuel cell (PEMFC) to improve the performance. This paper introduces a novel opposition-based arithmetic optimization algorithm (OBAOA) for identifying the u...

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Autores principales:	Abhishek Sharma, Rizwan Ahamad Khan, Abhinav Sharma, Diwakar Kashyap, Shailendra Rajput
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	proton exchange membrane fuel cell parameter identification optimization energy storage arithmetic optimization Electronics TK7800-8360
Acceso en línea:	https://doaj.org/article/1ac710a2c35d4ed0bc1724b384bd1be4
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id	oai:doaj.org-article:1ac710a2c35d4ed0bc1724b384bd1be4
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spelling	oai:doaj.org-article:1ac710a2c35d4ed0bc1724b384bd1be42021-11-25T17:25:07ZA Novel Opposition-Based Arithmetic Optimization Algorithm for Parameter Extraction of PEM Fuel Cell10.3390/electronics102228342079-9292https://doaj.org/article/1ac710a2c35d4ed0bc1724b384bd1be42021-11-01T00:00:00Zhttps://www.mdpi.com/2079-9292/10/22/2834https://doaj.org/toc/2079-9292The model-identification and parameter extraction are a well-defined method for modeling and development purposes of a proton exchange membrane fuel cell (PEMFC) to improve the performance. This paper introduces a novel opposition-based arithmetic optimization algorithm (OBAOA) for identifying the unspecified parameters of PEMFCs. The cost function is defined as the sum of the square deviations between the experimentally measured values and the optimal achieved values from the algorithm. Ballard Mark V PEM fuel cell is employed and analyzed to demonstrate the capability of the proposed algorithm. To demonstrate system efficiency, simulation results are compared to those of other optimizers under the same conditions. Furthermore, the proposed algorithm is validated through benchmark functions. The final results revealed that the proposed opposition-based arithmetic optimization algorithm can accurately retrieve the parameters of a PEMFC model.Abhishek SharmaRizwan Ahamad KhanAbhinav SharmaDiwakar KashyapShailendra RajputMDPI AGarticleproton exchange membrane fuel cellparameter identificationoptimizationenergy storagearithmetic optimizationElectronicsTK7800-8360ENElectronics, Vol 10, Iss 2834, p 2834 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	proton exchange membrane fuel cell parameter identification optimization energy storage arithmetic optimization Electronics TK7800-8360
spellingShingle	proton exchange membrane fuel cell parameter identification optimization energy storage arithmetic optimization Electronics TK7800-8360 Abhishek Sharma Rizwan Ahamad Khan Abhinav Sharma Diwakar Kashyap Shailendra Rajput A Novel Opposition-Based Arithmetic Optimization Algorithm for Parameter Extraction of PEM Fuel Cell
description	The model-identification and parameter extraction are a well-defined method for modeling and development purposes of a proton exchange membrane fuel cell (PEMFC) to improve the performance. This paper introduces a novel opposition-based arithmetic optimization algorithm (OBAOA) for identifying the unspecified parameters of PEMFCs. The cost function is defined as the sum of the square deviations between the experimentally measured values and the optimal achieved values from the algorithm. Ballard Mark V PEM fuel cell is employed and analyzed to demonstrate the capability of the proposed algorithm. To demonstrate system efficiency, simulation results are compared to those of other optimizers under the same conditions. Furthermore, the proposed algorithm is validated through benchmark functions. The final results revealed that the proposed opposition-based arithmetic optimization algorithm can accurately retrieve the parameters of a PEMFC model.
format	article
author	Abhishek Sharma Rizwan Ahamad Khan Abhinav Sharma Diwakar Kashyap Shailendra Rajput
author_facet	Abhishek Sharma Rizwan Ahamad Khan Abhinav Sharma Diwakar Kashyap Shailendra Rajput
author_sort	Abhishek Sharma
title	A Novel Opposition-Based Arithmetic Optimization Algorithm for Parameter Extraction of PEM Fuel Cell
title_short	A Novel Opposition-Based Arithmetic Optimization Algorithm for Parameter Extraction of PEM Fuel Cell
title_full	A Novel Opposition-Based Arithmetic Optimization Algorithm for Parameter Extraction of PEM Fuel Cell
title_fullStr	A Novel Opposition-Based Arithmetic Optimization Algorithm for Parameter Extraction of PEM Fuel Cell
title_full_unstemmed	A Novel Opposition-Based Arithmetic Optimization Algorithm for Parameter Extraction of PEM Fuel Cell
title_sort	novel opposition-based arithmetic optimization algorithm for parameter extraction of pem fuel cell
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/1ac710a2c35d4ed0bc1724b384bd1be4
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A Novel Opposition-Based Arithmetic Optimization Algorithm for Parameter Extraction of PEM Fuel Cell

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