Improving the autonomy of a Mid-Drive motor electric bicycle based on system efficiency maps and its performance

dc.contributor.advisorLópez Zapata, Carlos Eduardospa
dc.contributor.authorArango López, Iván Dario
dc.contributor.authorLópez Zapata, Carlos Eduardo
dc.contributor.authorCeren Correa, Alejandro
dc.coverage.spatialMedellín de: Lat: 06 15 00 N degrees minutes Lat: 6.2500 decimal degrees Long: 075 36 00 W degrees minutes Long: -75.6000 decimal degreeseng
dc.creator.degreeMagíster en Ingenieríaspa
dc.creator.emailiarango@eafit.edu.cospa
dc.creator.emailclopez@eafit.edu.cospa
dc.creator.emailacerenc@eafit.edu.cospa
dc.date.accessioned2021-05-14T23:48:37Z
dc.date.available2021-05-14T23:48:37Z
dc.date.issued2021
dc.description.abstractAround the world, the e-bike has evolved from a recreational and sports object to an increasingly used means of transportation. Due to this, improving aspects such as range and energy efficiency has become very relevant. This article presents experimental models for the components’ efficiency of a mid-drive motor e-bike (charger; battery; and controller, motor, and reduction gears subsystem), and integrates them with previously elaborated models for the chain transmission system, thus generating an overall efficiency map of the e-bike. The range of the electric bicycle is analyzed by integrating the efficiency map of the system and its performance mathematical model, aiming to determine the per unit of distance battery energy consumption. The above-mentioned calculations are applied to develop a management strategy that can determine the optimal assistance level and chain transmission ratio, maximizing range and leaving speed unaffected. The driving strategy was compared against other driving techniques using computational analysis, this allowed for the observation of the proposed strategy improving the system’s range by reducing the battery energy consumption.spa
dc.formatapplication/pdfeng
dc.identifier.ddc629.2 A662
dc.identifier.urihttp://hdl.handle.net/10784/29800
dc.language.isospaspa
dc.publisherMDPIspa
dc.publisherUniversidad EAFITspa
dc.publisher.departmentEscuela de Ingenieríaspa
dc.publisher.placeMedellínspa
dc.publisher.programMaestría en Ingenieríaspa
dc.rightsTodos los derechos reservadosspa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.rights.localAcceso abiertospa
dc.subjectMapa de eficienciaspa
dc.subjectEstrategia de manejospa
dc.subjectConsumo energéticospa
dc.subjectRangospa
dc.subjectEficiencia energéticaspa
dc.subjectBicicleta eléctricaspa
dc.subject.keyworde-bikespa
dc.subject.keywordRangespa
dc.subject.keywordEfficiency mapspa
dc.subject.keywordDriving strategyspa
dc.subject.keywordPerformancespa
dc.subject.keywordEnergy consumptionspa
dc.subject.lembTOMA DE DECISIONESspa
dc.subject.lembAUTOMÓVILES ELÉCTRICOSspa
dc.subject.lembVEHÍCULOS DE MOTORspa
dc.titleImproving the autonomy of a Mid-Drive motor electric bicycle based on system efficiency maps and its performancespa
dc.typemasterThesiseng
dc.typeinfo:eu-repo/semantics/masterThesiseng
dc.type.hasVersionacceptedVersioneng
dc.type.localTesis de Maestríaspa
dc.type.spaArtículospa

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