dc.creatorOsornio-Correa, C.
dc.creatorVillarreal-Calva, R. C.
dc.creatorMolina-Cristóbal, A.
dc.creatorEstavillo-Galsworthy, J.
dc.creatorSantillán-Gutiérrez, S. D.
dc.date2013-02-11
dc.date.accessioned2023-06-20T16:16:06Z
dc.date.available2023-06-20T16:16:06Z
dc.identifierhttps://www.revistas.unam.mx/index.php/ingenieria/article/view/35736
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/6724435
dc.descriptionA solution to increase fuel economy in Hybrid Electric Vehicles derived from physical characteristics of the vehicle, thepowertrain and the control strategy is presented. A heuristic Control Map is created to analyze the restrictions and benefits of using either of the onboard power plants under different driving conditions. The control strategy follows the Control Map with a logic that responds to the Battery State of Charge. Finally, a case study demonstrates the increase in fuel economy and charge sustainability; here, thevariables studied are submitted to a Multi-Objective Genetic Algorithm Optimization.es-ES
dc.formatapplication/pdf
dc.languagespa
dc.publisherFacultad de Ingenieríaes-ES
dc.relationhttps://www.revistas.unam.mx/index.php/ingenieria/article/view/35736/32509
dc.sourceIngeniería Investigación y Tecnología; Vol. 14 Núm. 1 (2013)es-ES
dc.source1405-7743
dc.subjectVehículo eléctrico híbridoes-ES
dc.subjectla estrategia de controles-ES
dc.subjectoptimización multi-objetivoes-ES
dc.subjectoptimización heurísticaes-ES
dc.titleOptimization of Power Train and Control Strategy of a Hybrid Electric Vehicle for Maximum Energy Economyes-ES
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion


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