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dc.contributor.authorKing, Jonathan Charlesen_US
dc.date.accessioned2014-03-14T20:44:57Z
dc.date.available2014-03-14T20:44:57Z
dc.date.issued2012-09-05en_US
dc.identifier.otheretd-09072012-124321en_US
dc.identifier.urihttp://hdl.handle.net/10919/34962
dc.description.abstractFor years the trend in the automotive industry has been toward more complex electronic control systems. The number of electronic control units (ECUs) in vehicles is ever increasing as is the complexity of communication networks among the ECUs. Increasing fuel economy standards and the increasing cost of fuel is driving hybridization and electrification of the automobile. Achieving superior fuel economy with a hybrid powertrain requires an effective and optimized control system. On the other hand, mathematical modeling and simulation tools have become extremely advanced and have turned simulation into a powerful design tool. The combination of increasing control system complexity and simulation technology has led to an industry wide trend toward model based control design. Rather than using models to analyze and validate real world testing data, simulation is now the primary tool used in the design process long before real world testing is possible. Modeling is used in every step from architecture selection to control system validation before on-road testing begins. The Hybrid Electric Vehicle Team (HEVT) of Virginia Tech is participating in the 2011-2014 EcoCAR 2 competition in which the team is tasked with re-engineering the powertrain of a GM donated vehicle. The primary goals of the competition are to reduce well to wheels (WTW) petroleum energy use (PEU) and reduce WTW greenhouse gas (GHG) and criteria emissions while maintaining performance, safety, and consumer acceptability. This paper will present systematic methodology for using model based design techniques for architecture selection, control system design, control strategy optimization, and controller validation to meet the goals of the competition. Simple energy management and efficiency analysis will form the primary basis of architecture selection. Using a novel method, a series-parallel powertrain architecture is selected. The control system architecture and requirements is defined using a systematic approach based around the interactions between control units. Vehicle communication networks are designed to facilitate efficient data flow. Software-in-the-loop (SIL) simulation with Mathworks Simulink is used to refine a control strategy to maximize fuel economy. Finally hardware-in-the-loop (HIL) testing on a dSPACE HIL simulator is demonstrated for performance improvements, as well as for safety critical controller validation. The end product of this design study is a control system that has reached a high level of parameter optimization and validation ready for on-road testing in a vehicle.en_US
dc.publisherVirginia Techen_US
dc.relation.haspartKing_JC_T_2012.pdfen_US
dc.rightsI hereby certify that, if appropriate, I have obtained and attached hereto a written permission statement from the owner(s) of each third party copyrighted matter to be included in my thesis, dissertation, or project report, allowing distribution as specified below. I certify that the version I submitted is the same as that approved by my advisory committee. I hereby grant to Virginia Tech or its agents the non-exclusive license to archive and make accessible, under the conditions specified below, my thesis, dissertation, or project report in whole or in part in all forms of media, now or hereafter known. I retain all other ownership rights to the copyright of the thesis, dissertation or project report. I also retain the right to use in future works (such as articles or books) all or part of this thesis, dissertation, or project report.en_US
dc.subjectmodel-based designen_US
dc.subjecthybrid electric vehicleen_US
dc.subjectplug-inen_US
dc.subjectarchitecture selectionen_US
dc.subjecthardware-in-the-loopen_US
dc.subjectsoftware-in-the-loopen_US
dc.subjectsimulationen_US
dc.subjectcontrol system validationen_US
dc.titleModel-Based Design of a Plug-In Hybrid Electric Vehicle Control Strategyen_US
dc.typeThesisen_US
dc.contributor.departmentMechanical Engineeringen_US
dc.description.degreeMaster of Scienceen_US
thesis.degree.nameMaster of Scienceen_US
thesis.degree.levelmastersen_US
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen_US
thesis.degree.disciplineMechanical Engineeringen_US
dc.contributor.committeechairNelson, Douglas J.en_US
dc.contributor.committeememberHuxtable, Scott T.en_US
dc.contributor.committeememberLeonessa, Alexanderen_US
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-09072012-124321/en_US
dc.date.sdate2012-09-07en_US
dc.date.rdate2012-09-27
dc.date.adate2012-09-27en_US


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