Improving the autonomy of a Mid-Drive motor electric bicycle based on system efficiency maps and its performance
dc.contributor.advisor | López Zapata, Carlos Eduardo | spa |
dc.contributor.author | Arango López, Iván Dario | |
dc.contributor.author | López Zapata, Carlos Eduardo | |
dc.contributor.author | Ceren Correa, Alejandro | |
dc.coverage.spatial | Medellín de: Lat: 06 15 00 N degrees minutes Lat: 6.2500 decimal degrees Long: 075 36 00 W degrees minutes Long: -75.6000 decimal degrees | eng |
dc.creator.degree | Magíster en Ingeniería | spa |
dc.creator.email | iarango@eafit.edu.co | spa |
dc.creator.email | clopez@eafit.edu.co | spa |
dc.creator.email | acerenc@eafit.edu.co | spa |
dc.date.accessioned | 2021-05-14T23:48:37Z | |
dc.date.available | 2021-05-14T23:48:37Z | |
dc.date.issued | 2021 | |
dc.description.abstract | Around 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.format | application/pdf | eng |
dc.identifier.ddc | 629.2 A662 | |
dc.identifier.uri | http://hdl.handle.net/10784/29800 | |
dc.language.iso | spa | spa |
dc.publisher | MDPI | spa |
dc.publisher | Universidad EAFIT | spa |
dc.publisher.department | Escuela de Ingeniería | spa |
dc.publisher.place | Medellín | spa |
dc.publisher.program | Maestría en Ingeniería | spa |
dc.rights | Todos los derechos reservados | spa |
dc.rights.accessrights | info:eu-repo/semantics/openAccess | spa |
dc.rights.local | Acceso abierto | spa |
dc.subject | Mapa de eficiencia | spa |
dc.subject | Estrategia de manejo | spa |
dc.subject | Consumo energético | spa |
dc.subject | Rango | spa |
dc.subject | Eficiencia energética | spa |
dc.subject | Bicicleta eléctrica | spa |
dc.subject.keyword | e-bike | spa |
dc.subject.keyword | Range | spa |
dc.subject.keyword | Efficiency map | spa |
dc.subject.keyword | Driving strategy | spa |
dc.subject.keyword | Performance | spa |
dc.subject.keyword | Energy consumption | spa |
dc.subject.lemb | TOMA DE DECISIONES | spa |
dc.subject.lemb | AUTOMÓVILES ELÉCTRICOS | spa |
dc.subject.lemb | VEHÍCULOS DE MOTOR | spa |
dc.title | Improving the autonomy of a Mid-Drive motor electric bicycle based on system efficiency maps and its performance | spa |
dc.type | masterThesis | eng |
dc.type | info:eu-repo/semantics/masterThesis | eng |
dc.type.hasVersion | acceptedVersion | eng |
dc.type.local | Tesis de Maestría | spa |
dc.type.spa | Artículo | spa |
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