Thesis
ROBOTIZACIÓN DE UN VEHÍCULO ELÉCTRICO COMERCIAL

dc.contributor.advisorAUAT CHEEIN, FERNANDO ALFREDO
dc.contributor.authorCARVAJAL RAMÍREZ, DIEGO ALONSO
dc.contributor.departmentUniversidad Tecnica Federico Santa Maria UTFSM ELECTRONICA
dc.contributor.otherKOURO RENAER, SAMIR FELIPE
dc.coverage.spatialCampus Casa Central Valparaíso
dc.date.accessioned2024-10-31T10:12:05Z
dc.date.available2024-10-31T10:12:05Z
dc.date.issued2017
dc.descriptionCatalogado desde la version PDF de la tesis.es_CL
dc.description.abstractToday, the transport of people and goods is a sector of the industry that generates billions ofdollars. One of the key components currently under development is the autonomous driving ofvehicles, which will allow greater efficiency in the transport of people and goods. This is whythis work involves the robotization of a part of a commercial electric vehicle, which will give afirst step to the subsequent full automation of this.More specifically, this work has focused on the traction part of the vehicle and the sensingof the state of the vehicle, that is, the capture of the relevant information of the vehicle, suchas its speed, transmission, position of the pedals, between others. This work will start with thestudy of the industry solutions in this aspect and will continue with the analysis of the specificelements found in the electric vehicle that will interveneFinally, this work concludes with the development and implementation of a traction controlsystem and the monitoring of the sensors that provide relevant vehicle information.eng
dc.description.degreeINGENIERO CIVIL ELECTRÓNICO
dc.format.mediumCD ROM
dc.identifier.barcode3560900231823
dc.identifier.urihttps://repositorio.usm.cl/handle/123456789/65410
dc.rights.accessRightsB - Solamente disponible para consulta en sala (opción por defecto)
dc.subjectCONDUCCION AUTONOMA
dc.subjectROBOTIZACION
dc.subjectVEHICULO ELECTRICO
dc.titleROBOTIZACIÓN DE UN VEHÍCULO ELÉCTRICO COMERCIAL
dc.typeTesis de Pregrado
dspace.entity.typeTesis
usm.date.thesisregistration2017
usm.identifier.thesis4500014482

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