Energy management strategy for a solar race car including meteorologic and probabilistic variable

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dc.contributor.advisorOsorio Gómez, Gilbertospa
dc.contributor.authorBetancur Valencia, Esteban
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.degreeDoctor in Engineeringspa
dc.creator.emailebetanc2@eafit.edu.cospa
dc.date.accessioned2019-07-16T16:05:22Z
dc.date.available2019-07-16T16:05:22Z
dc.date.issued2018
dc.description.abstractThis thesis describes the energy management strategy for racing solar cars, the racing strategy is treated as an optimal control problem with random variables and uncertain predictions. A computational model is developed for estimating the vehicle performance under specific circumstances. Two evolutionary heuristic optimization methods are implemented and tested for this case, their effectiveness, convergence and efficiency is measured and compared to exhaustive search approaches. The dependency on solar radiation is validated using the computational model with different test cases. In order to reduce the uncertainties on the solar radiation estimation, satellite images are used as inputs to image processing and machine learning techniques, their efficacy is compared. Finally, a validation case is executed and different scenarios are evaluated with the inclusion of the proposed methods, the experimental performance of a vehicle obtained using the strategy in the World Solar Challenge 2015 is exposed and compared to the predicted results from the simulation.spa
dc.formatapplication/pdfeng
dc.identifier.ddc629.2 B562
dc.identifier.urihttp://repository.eafit.edu.co/handle/10784/13660
dc.language.isospaspa
dc.publisher.departmentEscuela de Ingenieríaspa
dc.publisher.placeMedellínspa
dc.publisher.programDoctorado en Ingenieríaspa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.rights.localAcceso abiertospa
dc.subjectCarro solarspa
dc.subject.keywordSolar Carspa
dc.subject.keywordRace strategyspa
dc.subject.keywordEnergy managementspa
dc.subject.keywordHeuristic optimizationspa
dc.subject.keywordSolar resourcespa
dc.subject.lembMETEOROLOGÍAspa
dc.subject.lembENERGÍA SOLARspa
dc.subject.lembVARIABLES ALEATORIASspa
dc.subject.lembPROGRAMACIÓN HEURÍSTICAspa
dc.titleEnergy management strategy for a solar race car including meteorologic and probabilistic variablespa
dc.typedoctoralThesiseng
dc.typeinfo:eu-repo/semantics/doctoralThesiseng
dc.type.hasVersionacceptedVersioneng
dc.type.localTesis Doctoralspa

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Doctorado en Ingeniería (tesis)