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Memorial University - Electronic Theses and Dissertations 5
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Document Description
TitleA driven approach to proper vehicle modeling and model validation
AuthorBrowne, Greg, 1983-
DescriptionThesis (M.Eng.)--Memorial University of Newfoundland, 2011. Engineering and Applied Science
Pagination1 v. (various foliations) : ill.
SubjectAutomobiles--Design and construction--Computer simulation; Automobile industry and trade
Degree GrantorMemorial University of Newfoundland. Faculty of Engineering and Applied Science
DisciplineEngineering and Applied Science
NotesIncludes bibliographical references.
AbstractAs the use of model-based design in the automotive industry accelerates, so must the efficiency of modeling techniques and the thoroughness of model validation. -- The research presented constructs an energy-based (bond graph) proper vehicle model. This model includes all significant system dynamics generated from pressing on the gas pedal to the resulting vehicle translation. -- The Model Order Reduction Algorithm provides a mechanism to quantitatively rank each element in the model and determine its contribution. The complete model, containing 65 elements, is reduced to 22 elements, provides simulation results of adequate agreement, and still contains over 98% of the original system energy. This proper model reduces the number of calculations by 86% and the simulation time by 92%. -- By using GPS and OBD-II technologies, the model is exercised by logging on-road real-world vehicle data. By comparing the logged data to the predictions of the model, it is shown that > 0.9 can be achieved across different vehicles (compact sedan versus sport utility vehicle) and geographical routes.
Resource TypeElectronic thesis or dissertation
FormatImage/jpeg; Application/pdf
SourcePaper copy kept in the Centre for Newfoundland Studies, Memorial University Libraries
Local Identifiera1699429
RightsThe author retains copyright ownership and moral rights in this thesis. Neither the thesis nor substantial extracts from it may be printed or otherwise reproduced without the author's permission.
CollectionElectronic Theses and Dissertations
Scanning StatusCompleted
PDF File(11.20 MB) --
CONTENTdm file name7563.cpd