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dc.contributor.advisorAmos G. Winter, V.en_US
dc.contributor.authorDorsch, Daniel Scott.en_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Mechanical Engineering.en_US
dc.date.accessioned2020-02-10T21:43:15Z
dc.date.available2020-02-10T21:43:15Z
dc.date.copyright2019en_US
dc.date.issued2019en_US
dc.identifier.urihttps://hdl.handle.net/1721.1/123768
dc.descriptionThesis: Ph. D., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2019en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 111-118).en_US
dc.description.abstractThis thesis explores the design, development, and evaluation of transmission systems for integration into high-performance hybrid (internal combustion engine (ICE) and electric motor) vehicles. Traditional hybrid vehicle designs often fall into one of two categories. Every day road vehicles typically utilize hybridization for increased drivetrain efficiency, including traits such as low speed electric drive and regenerative braking. Alternatively, performance cars have typically utilized the electric motor functionality for increased performance. By using a new framework for analyzing the elements and their function within a propulsion system architecture, advanced hybrid architectures that allow for both high efficiency and increased performance are presented. A two-motor, clutchless hybrid transmission concept was developed. An analysis of driving modes available demonstrates the utility in a high-performance vehicle, increasing the performance and efficiency of the drivetrain.en_US
dc.description.abstractA second, dual-shaft, single motor, clutchless transmission concept is presented, with the benefits and drawbacks of this architecture compared to the two-motor architecture, and a traditional ICE only transmission. The final part of this thesis presents a novel, two-speed electric motor system that could be integrated within a conventional ICE automated manual transmission. This system utilizes custom sensors for tracking the position of the dogteeth within the two-speed shift synchronizer. Electric motor control is used to synchronize motor speed during a shift event, as the inertia of the electric motor is too large for friction synchronization alone to be sufficient. This strategy removes the tradeoff that currently exists for optimal shift actuator design (larger pistons result in faster speed synchronization but slower actuation motion during other phases of a shift) and results in overall faster gearshifts.en_US
dc.description.abstractDogtooth tracking allows for firing of the shift actuator at the proper moment, ensuring no collision between dogteeth and allowing for faster shifter motion than with a traditional synchronizer. An experimental setup was developed to characterize shift performance. Full gearshifts can be made successfully utilizing speed matching and dogtooth tracking, validating the described shift control method and allowing for improved, frictionless synchronizer designs. The developments described in this work will lead to a new generation of hybrid vehicles, designed for high-performance and increased efficiency.en_US
dc.description.statementofresponsibilityby Daniel S. Dorsch.en_US
dc.format.extent118 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsMIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectMechanical Engineering.en_US
dc.titleDesign of high performance hybrid transmissionsen_US
dc.typeThesisen_US
dc.description.degreePh. D.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineeringen_US
dc.identifier.oclc1139336911en_US
dc.description.collectionPh.D. Massachusetts Institute of Technology, Department of Mechanical Engineeringen_US
dspace.imported2020-02-10T21:43:10Zen_US
mit.thesis.degreeDoctoralen_US
mit.thesis.departmentMechEen_US


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