Analysis of Fuel Cell Powered EV Charging Station

Bibliographic Details
Main Author: Bondu, Pavan Kumar Reddy
Publication Date: 2024
Other Authors: Reddy, Vyza Usha
Format: Article
Language: eng
Source: ITEGAM-JETIA
Download full: https://itegam-jetia.org/journal/index.php/jetia/article/view/1288
Summary: The paper offers a comparative performance analysis of fuel cell-powered EV charging systems utilizing ZETA, SEPIC, and modified SEPIC DC-DC converter topologies. Despite the cleaner energy source that fuel cells represent, their high cost has limited their penetration in EV charging. Selecting a suitable DC-DC converter topology is crucial for achieving fast charging and improved efficiency. The paper presents a performance analysis of the ZETA, SEPIC, and modified SEPIC converter topologies, both with open-loop and closed-loop control, for EV charging applications. A MATLAB/Simulink model was developed to examine the performance of these topologies in terms of battery state of charge (SoC), battery voltage, and charging current. The study reveals that the battery charged from an SoC of 50% to 50.03% using the modified SEPIC converter, while the ZETA and SEPIC converters charged to 50.024% under closed-loop control. Under open-loop control, the modified SEPIC charged to 50.025%, followed by ZETA at 50.024% and SEPIC at 50.02%, with a similar simulation time of ten seconds using a fuel cell as the primary energy source. The results demonstrate that the DC-DC modified SEPIC converter outperforms both ZETA and SEPIC converters.
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spelling Analysis of Fuel Cell Powered EV Charging StationThe paper offers a comparative performance analysis of fuel cell-powered EV charging systems utilizing ZETA, SEPIC, and modified SEPIC DC-DC converter topologies. Despite the cleaner energy source that fuel cells represent, their high cost has limited their penetration in EV charging. Selecting a suitable DC-DC converter topology is crucial for achieving fast charging and improved efficiency. The paper presents a performance analysis of the ZETA, SEPIC, and modified SEPIC converter topologies, both with open-loop and closed-loop control, for EV charging applications. A MATLAB/Simulink model was developed to examine the performance of these topologies in terms of battery state of charge (SoC), battery voltage, and charging current. The study reveals that the battery charged from an SoC of 50% to 50.03% using the modified SEPIC converter, while the ZETA and SEPIC converters charged to 50.024% under closed-loop control. Under open-loop control, the modified SEPIC charged to 50.025%, followed by ZETA at 50.024% and SEPIC at 50.02%, with a similar simulation time of ten seconds using a fuel cell as the primary energy source. The results demonstrate that the DC-DC modified SEPIC converter outperforms both ZETA and SEPIC converters.ITEGAM - Instituto de Tecnologia e Educação Galileo da Amazônia2024-10-28info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionPeer-reviewed Articleapplication/pdfhttps://itegam-jetia.org/journal/index.php/jetia/article/view/128810.5935/jetia.v10i49.1288ITEGAM-JETIA; v.10 n.49 2024; 211-215ITEGAM-JETIA; v.10 n.49 2024; 211-215ITEGAM-JETIA; v.10 n.49 2024; 211-2152447-022810.5935/jetia.v10i49reponame:ITEGAM-JETIAinstname:Instituto de Tecnologia e Educação Galileo da Amazônia (ITEGAM)instacron:ITEGAMenghttps://itegam-jetia.org/journal/index.php/jetia/article/view/1288/871Copyright (c) 2024 ITEGAM-JETIAinfo:eu-repo/semantics/openAccessBondu, Pavan Kumar ReddyReddy, Vyza Usha2024-11-04T15:57:50Zoai:ojs.itegam-jetia.org:article/1288Revistahttps://itegam-jetia.org/journal/index.php/jetiaPRIhttps://itegam-jetia.org/journal/index.php/jetia/oaieditor@itegam-jetia.orgopendoar:2024-11-04T15:57:50ITEGAM-JETIA - Instituto de Tecnologia e Educação Galileo da Amazônia (ITEGAM)false
dc.title.none.fl_str_mv Analysis of Fuel Cell Powered EV Charging Station
title Analysis of Fuel Cell Powered EV Charging Station
spellingShingle Analysis of Fuel Cell Powered EV Charging Station
Bondu, Pavan Kumar Reddy
title_short Analysis of Fuel Cell Powered EV Charging Station
title_full Analysis of Fuel Cell Powered EV Charging Station
title_fullStr Analysis of Fuel Cell Powered EV Charging Station
title_full_unstemmed Analysis of Fuel Cell Powered EV Charging Station
title_sort Analysis of Fuel Cell Powered EV Charging Station
author Bondu, Pavan Kumar Reddy
author_facet Bondu, Pavan Kumar Reddy
Reddy, Vyza Usha
author_role author
author2 Reddy, Vyza Usha
author2_role author
dc.contributor.author.fl_str_mv Bondu, Pavan Kumar Reddy
Reddy, Vyza Usha
description The paper offers a comparative performance analysis of fuel cell-powered EV charging systems utilizing ZETA, SEPIC, and modified SEPIC DC-DC converter topologies. Despite the cleaner energy source that fuel cells represent, their high cost has limited their penetration in EV charging. Selecting a suitable DC-DC converter topology is crucial for achieving fast charging and improved efficiency. The paper presents a performance analysis of the ZETA, SEPIC, and modified SEPIC converter topologies, both with open-loop and closed-loop control, for EV charging applications. A MATLAB/Simulink model was developed to examine the performance of these topologies in terms of battery state of charge (SoC), battery voltage, and charging current. The study reveals that the battery charged from an SoC of 50% to 50.03% using the modified SEPIC converter, while the ZETA and SEPIC converters charged to 50.024% under closed-loop control. Under open-loop control, the modified SEPIC charged to 50.025%, followed by ZETA at 50.024% and SEPIC at 50.02%, with a similar simulation time of ten seconds using a fuel cell as the primary energy source. The results demonstrate that the DC-DC modified SEPIC converter outperforms both ZETA and SEPIC converters.
publishDate 2024
dc.date.none.fl_str_mv 2024-10-28
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://itegam-jetia.org/journal/index.php/jetia/article/view/1288
10.5935/jetia.v10i49.1288
url https://itegam-jetia.org/journal/index.php/jetia/article/view/1288
identifier_str_mv 10.5935/jetia.v10i49.1288
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://itegam-jetia.org/journal/index.php/jetia/article/view/1288/871
dc.rights.driver.fl_str_mv Copyright (c) 2024 ITEGAM-JETIA
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2024 ITEGAM-JETIA
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv ITEGAM - Instituto de Tecnologia e Educação Galileo da Amazônia
publisher.none.fl_str_mv ITEGAM - Instituto de Tecnologia e Educação Galileo da Amazônia
dc.source.none.fl_str_mv ITEGAM-JETIA; v.10 n.49 2024; 211-215
ITEGAM-JETIA; v.10 n.49 2024; 211-215
ITEGAM-JETIA; v.10 n.49 2024; 211-215
2447-0228
10.5935/jetia.v10i49
reponame:ITEGAM-JETIA
instname:Instituto de Tecnologia e Educação Galileo da Amazônia (ITEGAM)
instacron:ITEGAM
instname_str Instituto de Tecnologia e Educação Galileo da Amazônia (ITEGAM)
instacron_str ITEGAM
institution ITEGAM
reponame_str ITEGAM-JETIA
collection ITEGAM-JETIA
repository.name.fl_str_mv ITEGAM-JETIA - Instituto de Tecnologia e Educação Galileo da Amazônia (ITEGAM)
repository.mail.fl_str_mv editor@itegam-jetia.org
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