Development of a high-fidelity engine modeling framework in Simulink with automated combustion parameter tuning

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dc.contributor Haskew, Tim A.
dc.contributor Puzinauskas, P.
dc.contributor Volkov, Alexey N.
dc.contributor Williams, Keith A.
dc.contributor.advisor Yoon, Hwan-Sik
dc.contributor.author Thompson, Bradley Adam
dc.date.accessioned 2017-07-28T14:12:22Z
dc.date.available 2017-07-28T14:12:22Z
dc.date.issued 2017
dc.identifier.other u0015_0000001_0002634
dc.identifier.other Thompson_alatus_0004D_13076
dc.identifier.uri http://ir.ua.edu/handle/123456789/3231
dc.description Electronic Thesis or Dissertation
dc.description.abstract The automotive industry continually seeks to improve performance and fuel efficiency due to increasing fuel costs, consumer demands, and greenhouse gas regulations. With advancements in computer-aided design, engine simulation has become a vital tool for product development and design innovation, and as computation power improves, the ability to optimize designs improves as well. Among the simulation software packages currently available, Matlab/Simulink is widely used for automotive system simulations but does not contain a detailed engine modeling toolbox. To leverage Matlab/Simulink’s capabilities, a Simulink-based 1D flow engine modeling architecture is proposed. The architecture allows engine component blocks to be connected in a physically representative manner in the Simulink environment, therefore reducing model build time. Each component model, derived from physical laws, interacts with other models according to block connection. The presented engine simulation platform includes a semi-predictive spark ignition combustion model that correlates the burn rate to combustion chamber geometry, laminar flame speed, and turbulence. Combustion is represented by a spherical flame propagating from the spark plug. To accurately predict the burn rate, the quasi-dimensional model requires tuning. A method is proposed for fitting turbulence and burn rate parameters across an engine’s operating space. The method reduces optimization time by eliminating the intake and exhaust flow models when evaluating the fitness function. Using the proposed method, 12 combustion model parameters were optimized to match cylinder pressure. Optimization and validation results are given for a 2.0 L Mazda Skyactiv-G engine.
dc.format.extent 208 p.
dc.format.medium electronic
dc.format.mimetype application/pdf
dc.language English
dc.language.iso en_US
dc.publisher University of Alabama Libraries
dc.relation.ispartof The University of Alabama Electronic Theses and Dissertations
dc.relation.ispartof The University of Alabama Libraries Digital Collections
dc.relation.hasversion born digital
dc.rights All rights reserved by the author unless otherwise indicated.
dc.subject.other Mechanical engineering
dc.subject.other Automotive engineering
dc.title Development of a high-fidelity engine modeling framework in Simulink with automated combustion parameter tuning
dc.type thesis
dc.type text
etdms.degree.department University of Alabama. Dept. of Mechanical Engineering
etdms.degree.discipline Mechanical Engineering
etdms.degree.grantor The University of Alabama
etdms.degree.level doctoral
etdms.degree.name Ph.D.


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