Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/31085
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dc.contributor.authorFarrag, M-
dc.contributor.authorLai, CS-
dc.contributor.authorDarwish, M-
dc.coverage.spatialCardiff, UK-
dc.date.accessioned2025-04-28T10:13:56Z-
dc.date.available2025-04-28T10:13:56Z-
dc.date.issued2024-09-02-
dc.identifierORCiD: Chun Sing Lai https://orcid.org/0000-0002-4169-4438-
dc.identifierORCiD: Mohamed Darwish https://orcid.org/0000-0002-9495-861X-
dc.identifier.citationFarrag, M., Lai, C.S. and Darwish, M. (2024) 'Optimising EV Efficiency with Hybrid Energy Storage and Advanced Control Strategies', 2024 59th International Universities Power Engineering Conference, UPEC 2024, Cardiff, UK, 2-6 September, pp. 1 - 6. doi: 10.1109/UPEC61344.2024.10892583.en_US
dc.identifier.isbn979-8-3503-7973-0 (ebk)-
dc.identifier.isbn979-8-3503-7974-7 (PoD)-
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/31085-
dc.description.abstractThis study examines a hybrid energy storage system (HESS) that integrates Lithium-Ion Batteries (LIB) with Supercapacitors (SCs). The HESS is built with a completely active topology that guarantees precise regulation of energy flow. Comparison of Proportional-Integral (PI) and Online Radial Basis Function (RBF) controllers is conducted via simulations are performed utilising representative driving cycles. The Online RBF controller surpasses the PI controller by reducing power losses and ensuring stable State of Charge (SoC) profiles. The results emphasise how HESS can improve Electric Vehicle (EV) performance and emphasise the vital role of control methods in attaining optimal energy management.en_US
dc.format.extent1 - 6-
dc.format.mediumPrint-Electronic-
dc.language.isoen_USen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.rightsCopyright © 2024 Crown. Published by Institute of Electrical and Electronics Engineers (IEEE). Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works ( https://journals.ieeeauthorcenter.ieee.org/become-an-ieee-journal-author/publishing-ethics/guidelines-and-policies/post-publication-policies/ ).-
dc.rights.urihttps://journals.ieeeauthorcenter.ieee.org/become-an-ieee-journal-author/publishing-ethics/guidelines-and-policies/post-publication-policies/-
dc.subjectelectric vehicleen_US
dc.subjecthybrid energy storage systemen_US
dc.subjectbatteryen_US
dc.subjectsupercapacitoren_US
dc.subjectperformanceen_US
dc.subjectsimulationen_US
dc.titleOptimising EV Efficiency with Hybrid Energy Storage and Advanced Control Strategiesen_US
dc.typeConference Paperen_US
dc.date.dateAccepted2024-06-15-
dc.identifier.doihttps://doi.org/10.1109/UPEC61344.2024.10892583-
dc.relation.isPartOf2024 59th International Universities Power Engineering Conference, UPEC 2024-
pubs.finish-date2024-09-06-
pubs.finish-date2024-09-06-
pubs.publication-statusPublished-
pubs.start-date2024-09-02-
pubs.start-date2024-09-02-
dcterms.dateAccepted2024-06-15-
dc.rights.holderCrown-
Appears in Collections:Dept of Electronic and Electrical Engineering Research Papers

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