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dc.contributor.authorYılmaz, Ünal
dc.contributor.authorTürksoy, Ömer
dc.contributor.authorTeke, Ahmet
dc.date.accessioned2020-05-24T15:31:59Z
dc.date.available2020-05-24T15:31:59Z
dc.date.issued2019
dc.identifier.citationYilmaz, U., Turksoy, O., Teke, A. (2019). Intelligent control of high energy efficient two-stage battery charger topology for electric vehicles. Energy, 186, art. no. 115825. https://doi.org/10.1016/j.energy.2019.07.155
dc.identifier.issn0360-5442
dc.identifier.issn1873-6785
dc.identifier.urihttps://doi.org/10.1016/j.energy.2019.07.155
dc.identifier.urihttps://hdl.handle.net/20.500.12508/1172
dc.descriptionTurksoy, Omer/0000-0003-4620-4503en_US
dc.descriptionWOS: 000492797300026en_US
dc.description.abstractThe energy efficiency of the battery charging system directly affects the distance which electric vehicles can get with per charge process. In addition, reducing current harmonics distortion (THD) increases the electrical quality and power conversion performance. This paper proposes intelligent control of high-efficiency two-stage battery charger topology for electric vehicles (EVs). In the first stage, for low harmonics of input current, high power factor and high efficiency, the average current mode controlled ac/dc boost power factor (pf) correction method constructed and analyzed with 98% efficiency and the power factor is achieved higher than 0.99. Additionally, in the second stage, for high energy efficiency, higher battery lifespan and allowing EVs to get more miles with per charge, a half-bridge LLC resonant converter controlled with a designed artificial neural network (ANN). Moreover, the LLC resonant converter controlled under dynamic load to analysis system from no-load to full-load. A 3.1 kW powered system has been designed for this study, the efficiency of the system has been calculated based on European efficiency standards and the peak efficiency of the whole system is 96.2%, the load voltage ripple is less than 0.5 V and also total harmonic distortion of the source current is less than 5%. (C) 2019 Elsevier Ltd. All rights reserved.en_US
dc.language.isoengen_US
dc.publisherPergamon-Elsevier Science Ltden_US
dc.relation.isversionof10.1016/j.energy.2019.07.155en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectEnergy efficiencyen_US
dc.subjectBattery chargers
dc.subjectPower factor correction
dc.subjectLLC resonant converter
dc.subjectArtificial neural network
dc.subject.classificationThermodynamics
dc.subject.classificationEnergy & Fuels
dc.subject.classificationZero Voltage Switching | DC-DC Converter | Charging (Batteries)
dc.subject.otherDC-DC converter
dc.subject.otherPev charger
dc.subject.otherDynamic loads
dc.subject.otherElectric vehicles
dc.subject.otherEnergy efficiency
dc.subject.otherHarmonic analysis
dc.subject.otherIntelligent control
dc.subject.otherNeural networks
dc.subject.otherRectifying circuits
dc.subject.otherSecondary batteries
dc.subject.otherTopology
dc.subject.otherBattery chargers
dc.subject.otherElectric Vehicles (EVs)
dc.subject.otherElectrical quality
dc.subject.otherEuropean efficiencies
dc.subject.otherHigh energy efficiency
dc.subject.otherLLC resonant converter
dc.subject.otherPower factor corrections
dc.subject.otherTotal harmonic distortion (THD)
dc.subject.otherCharging (batteries)
dc.subject.otherArtificial intelligence
dc.subject.otherFactor analysis
dc.subject.otherFuel cell
dc.subject.otherPerformance assessment
dc.titleIntelligent control of high energy efficient two-stage battery charger topology for electric vehiclesen_US
dc.typearticleen_US
dc.relation.journalEnergyen_US
dc.contributor.departmentMühendislik ve Doğa Bilimleri Fakültesi -- Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.identifier.volume186en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.contributor.isteauthorTürksoy, Ömer
dc.relation.indexWeb of Science - Scopus
dc.relation.indexWeb of Science Core Collection - Science Citation Index Expanded


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