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dc.contributor.authorYaqoob, S. J.en
dc.contributor.authorFerahtia, S.en
dc.contributor.authorObed, A. A.en
dc.contributor.authorRezk, H.en
dc.contributor.authorAlwan, N. T.en
dc.contributor.authorZawbaa, H. M.en
dc.contributor.authorKamel, S.en
dc.date.accessioned2024-04-22T15:53:00Z-
dc.date.available2024-04-22T15:53:00Z-
dc.date.issued2022-
dc.identifier.citationYaqoob, SJ, Ferahtia, S, Obed, AA, Rezk, H, Alwan, NT, Zawbaa, HM & Kamel, S 2022, 'Efficient Flatness Based Energy Management Strategy for Hybrid Supercapacitor/Lithium-ion Battery Power System', IEEE Access, Том. 10, стр. 132153-132163. https://doi.org/10.1109/ACCESS.2022.3230333harvard_pure
dc.identifier.citationYaqoob, S. J., Ferahtia, S., Obed, A. A., Rezk, H., Alwan, N. T., Zawbaa, H. M., & Kamel, S. (2022). Efficient Flatness Based Energy Management Strategy for Hybrid Supercapacitor/Lithium-ion Battery Power System. IEEE Access, 10, 132153-132163. https://doi.org/10.1109/ACCESS.2022.3230333apa_pure
dc.identifier.issn2169-3536
dc.identifier.otherFinal2
dc.identifier.otherAll Open Access; Gold Open Access; Green Open Access3
dc.identifier.otherhttps://ieeexplore.ieee.org/ielx7/6287639/6514899/09991142.pdf1
dc.identifier.otherhttps://ieeexplore.ieee.org/ielx7/6287639/6514899/09991142.pdfpdf
dc.identifier.urihttp://elar.urfu.ru/handle/10995/132381-
dc.description.abstractThis article offers a flatness theory-based energy management strategy (FEMS) for a hybrid power system consisting of a supercapacitor (SC) and lithium-ion battery. The proposed FEMS intends to allocate the power reference for the DC/DC converters of both the battery and SC while attaining higher efficiency and stable DC bus voltage. First, the entire system model is analyzed theoretically under the differential flatness approach to reduce the model order as a flat system. Second, the proposed FEMS is validated under different load conditions using MATLAB/Simulink. Thus, this FEMS provides high-quality energy to the load and reduces the fluctuations in the bus voltage. Moreover, the performance of the FEMS is compared with the load following (LF) strategy. The obtained results show that the proposed FEMS meet the real load power under fast variations with good power quality compared to the classical LF strategy, where the maximum overshoot of the bus voltage is 5%. © 2013 IEEE.en
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.rightscc-by-nc-ndother
dc.sourceIEEE Access2
dc.sourceIEEE Accessen
dc.subjectENERGY MANAGEMENT SYSTEMen
dc.subjectFLATNESS CONTROL THEORYen
dc.subjectHYBRID POWER SYSTEMen
dc.subjectLI-ION BATTERYen
dc.subjectSUPERCAPACITORen
dc.subjectCONTROL THEORYen
dc.subjectDC-DC CONVERTERSen
dc.subjectELECTRIC POWER SYSTEM CONTROLen
dc.subjectENERGY EFFICIENCYen
dc.subjectENERGY MANAGEMENTen
dc.subjectENERGY MANAGEMENT SYSTEMSen
dc.subjectLITHIUM-ION BATTERIESen
dc.subjectPOWER QUALITYen
dc.subjectBATTERY POWERen
dc.subjectBUS VOLTAGEen
dc.subjectFLATNESS CONTROLen
dc.subjectFLATNESS CONTROL THEORYen
dc.subjectFLATNESS THEORIESen
dc.subjectHYBRID POWERen
dc.subjectHYBRID POWER SYSTEMen
dc.subjectHYBRID SUPERCAPACITORSen
dc.subjectLOAD FOLLOWINGen
dc.subjectMANAGEMENT STRATEGIESen
dc.subjectSUPERCAPACITORen
dc.titleEfficient Flatness Based Energy Management Strategy for Hybrid Supercapacitor/Lithium-ion Battery Power Systemen
dc.typeArticleen
dc.typeinfo:eu-repo/semantics/articleen
dc.typeinfo:eu-repo/semantics/publishedVersionen
dc.identifier.doi10.1109/ACCESS.2022.3230333-
dc.identifier.scopus85144786026-
local.contributor.employeeYaqoob S.J., Authority of the Popular Crowd, Prime Minister, Department of Research and Education, Baghdad, 10001, Iraqen
local.contributor.employeeFerahtia S., University of m'Sila, Laboratore d' Analyse des Signaux et Systemes, Department of Electrical Engineering, M'sila, 28000, Algeriaen
local.contributor.employeeObed A.A., Middle Technical University, Electrical Engineering Technical College, Baghdad, 10001, Iraqen
local.contributor.employeeRezk H., Prince Sattam Bin Abdulaziz University, College of Engineering in Wadi Alddawaseir, Department of Electrical Engineering, Wadi Alddawaseir, 11942, Saudi Arabia, Minia University, Faculty of Engineering, Minia, 61519, Egypten
local.contributor.employeeAlwan N.T., Technical College of Engineering, Northern Technical University, Renewable Energy Research Unit, Kirkuk, 3601, Iraq, Ural Federal University, Department of Nuclear and Renewable Energy, Yekaterinburg, 620002, Russian Federationen
local.contributor.employeeZawbaa H.M., Technological University Dublin, CeADAR Irelands Center for Applied AI, Dublin, D07 EWV4, Ireland, Applied Science Private University, Applied Science Research Center, Amman, 11931, Jordanen
local.contributor.employeeKamel S., Aswan University, Faculty of Engineering, Electrical Engineering Department, Aswan, 81542, Egypten
local.description.firstpage132153
local.description.lastpage132163
local.volume10
dc.identifier.wos000903731500001-
local.contributor.departmentAuthority of the Popular Crowd, Prime Minister, Department of Research and Education, Baghdad, 10001, Iraqen
local.contributor.departmentUniversity of m'Sila, Laboratore d' Analyse des Signaux et Systemes, Department of Electrical Engineering, M'sila, 28000, Algeriaen
local.contributor.departmentMiddle Technical University, Electrical Engineering Technical College, Baghdad, 10001, Iraqen
local.contributor.departmentPrince Sattam Bin Abdulaziz University, College of Engineering in Wadi Alddawaseir, Department of Electrical Engineering, Wadi Alddawaseir, 11942, Saudi Arabiaen
local.contributor.departmentMinia University, Faculty of Engineering, Minia, 61519, Egypten
local.contributor.departmentTechnical College of Engineering, Northern Technical University, Renewable Energy Research Unit, Kirkuk, 3601, Iraqen
local.contributor.departmentUral Federal University, Department of Nuclear and Renewable Energy, Yekaterinburg, 620002, Russian Federationen
local.contributor.departmentTechnological University Dublin, CeADAR Irelands Center for Applied AI, Dublin, D07 EWV4, Irelanden
local.contributor.departmentApplied Science Private University, Applied Science Research Center, Amman, 11931, Jordanen
local.contributor.departmentAswan University, Faculty of Engineering, Electrical Engineering Department, Aswan, 81542, Egypten
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local.identifier.pure33250169-
local.identifier.eid2-s2.0-85144786026-
local.identifier.wosWOS:000903731500001-
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