Improved Semi-empirical Model of Proton Exchange Membrane Fuel Cell Incorporating Fault Diagnostic Feature

The membrane water content of the proton exchange membrane fuel cell (PEMFC) is the most important feature required for water management of the PEMFC system. Any improper management of water in the fuel cell may lead to system faults. Among various faults, flooding and drying faults are the most fre...

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Autores principales:	Saad Saleem Khan, Hussain Shareef, Ahmad Asrul Ibrahim
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	Proton exchange membrane fuel cell (PEMFC) fault membrane water content modelling optimization quantum lightening search algorithm Production of electric energy or power. Powerplants. Central stations TK1001-1841 Renewable energy sources TJ807-830
Acceso en línea:	https://doaj.org/article/e5a38e0c7336415b984ddaed5260671e
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id	oai:doaj.org-article:e5a38e0c7336415b984ddaed5260671e
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spelling	oai:doaj.org-article:e5a38e0c7336415b984ddaed5260671e2021-11-27T00:00:50ZImproved Semi-empirical Model of Proton Exchange Membrane Fuel Cell Incorporating Fault Diagnostic Feature2196-542010.35833/MPCE.2019.000179https://doaj.org/article/e5a38e0c7336415b984ddaed5260671e2021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9186384/https://doaj.org/toc/2196-5420The membrane water content of the proton exchange membrane fuel cell (PEMFC) is the most important feature required for water management of the PEMFC system. Any improper management of water in the fuel cell may lead to system faults. Among various faults, flooding and drying faults are the most frequent in the PEMFC systems. This paper presents a new dynamic semi-empirical model which requires only the load current and temperature of the PEMFC system as the input while providing output voltage and membrane water content as its major outputs. Unlike other PEMFC systems, the proposed dynamic model calculates the internal partial pressure of oxygen and hydrogen rather than using special internal sensors. Moreover, the membrane water content and internal resistances of PEMFC are modelled by incorporating the load current condition and temperature of the PEMFC system. The model parameters have been extracted by using a quantum lightening search algorithm as an optimization technique, and the performance is validated with experimental data obtained from the NEXA 1.2 kW PEMFC system. To further demonstrate the capability of the model in fault detection, the variation in membrane water content has been studied via the simulation. The proposed model could be efficiently used in prognostic and diagnosis systems of PEMFC fault.Saad Saleem KhanHussain ShareefAhmad Asrul IbrahimIEEEarticleProton exchange membrane fuel cell (PEMFC) faultmembrane water contentmodellingoptimizationquantum lightening search algorithmProduction of electric energy or power. Powerplants. Central stationsTK1001-1841Renewable energy sourcesTJ807-830ENJournal of Modern Power Systems and Clean Energy, Vol 9, Iss 6, Pp 1566-1573 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Proton exchange membrane fuel cell (PEMFC) fault membrane water content modelling optimization quantum lightening search algorithm Production of electric energy or power. Powerplants. Central stations TK1001-1841 Renewable energy sources TJ807-830
spellingShingle	Proton exchange membrane fuel cell (PEMFC) fault membrane water content modelling optimization quantum lightening search algorithm Production of electric energy or power. Powerplants. Central stations TK1001-1841 Renewable energy sources TJ807-830 Saad Saleem Khan Hussain Shareef Ahmad Asrul Ibrahim Improved Semi-empirical Model of Proton Exchange Membrane Fuel Cell Incorporating Fault Diagnostic Feature
description	The membrane water content of the proton exchange membrane fuel cell (PEMFC) is the most important feature required for water management of the PEMFC system. Any improper management of water in the fuel cell may lead to system faults. Among various faults, flooding and drying faults are the most frequent in the PEMFC systems. This paper presents a new dynamic semi-empirical model which requires only the load current and temperature of the PEMFC system as the input while providing output voltage and membrane water content as its major outputs. Unlike other PEMFC systems, the proposed dynamic model calculates the internal partial pressure of oxygen and hydrogen rather than using special internal sensors. Moreover, the membrane water content and internal resistances of PEMFC are modelled by incorporating the load current condition and temperature of the PEMFC system. The model parameters have been extracted by using a quantum lightening search algorithm as an optimization technique, and the performance is validated with experimental data obtained from the NEXA 1.2 kW PEMFC system. To further demonstrate the capability of the model in fault detection, the variation in membrane water content has been studied via the simulation. The proposed model could be efficiently used in prognostic and diagnosis systems of PEMFC fault.
format	article
author	Saad Saleem Khan Hussain Shareef Ahmad Asrul Ibrahim
author_facet	Saad Saleem Khan Hussain Shareef Ahmad Asrul Ibrahim
author_sort	Saad Saleem Khan
title	Improved Semi-empirical Model of Proton Exchange Membrane Fuel Cell Incorporating Fault Diagnostic Feature
title_short	Improved Semi-empirical Model of Proton Exchange Membrane Fuel Cell Incorporating Fault Diagnostic Feature
title_full	Improved Semi-empirical Model of Proton Exchange Membrane Fuel Cell Incorporating Fault Diagnostic Feature
title_fullStr	Improved Semi-empirical Model of Proton Exchange Membrane Fuel Cell Incorporating Fault Diagnostic Feature
title_full_unstemmed	Improved Semi-empirical Model of Proton Exchange Membrane Fuel Cell Incorporating Fault Diagnostic Feature
title_sort	improved semi-empirical model of proton exchange membrane fuel cell incorporating fault diagnostic feature
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/e5a38e0c7336415b984ddaed5260671e
work_keys_str_mv	AT saadsaleemkhan improvedsemiempiricalmodelofprotonexchangemembranefuelcellincorporatingfaultdiagnosticfeature AT hussainshareef improvedsemiempiricalmodelofprotonexchangemembranefuelcellincorporatingfaultdiagnosticfeature AT ahmadasrulibrahim improvedsemiempiricalmodelofprotonexchangemembranefuelcellincorporatingfaultdiagnosticfeature
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Improved Semi-empirical Model of Proton Exchange Membrane Fuel Cell Incorporating Fault Diagnostic Feature

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