Analysis of Fuel Cell Powered EV Charging Station
Main Author: | |
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Publication Date: | 2024 |
Other Authors: | |
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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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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1837010819970236416 |