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Degree

Master of Science, Ohio State University, Mechanical Engineering, 2008.

Abstract

Accurate fuel control demands accurate predictions of fresh air mass which are usually based on volumetric efficiency (VE) maps. Calibrating these VE maps requires dense sets of experimental data that are costly to acquire. Moreover, new actuation technologies often add degrees of freedom to the air calibration and data representation problems greatly increasing the experimental burden. This thesis offers a solution to these problems: use one-dimensional (1-D) engine simulation software together with intelligent sub-sampling of physical data to develop highly accurate simulators of the gas charge (fresh air and residuals) over the engine's entire operating range. These simulators can then be exercised to generate the data-rich mapping of VE and residuals which can then be modeled with two newly developed representations. This new proposed process represents 1-2 orders of magnitude decrease in calibration time, while maintaining or exceeding overall accuracy and is readily extendable to other upcoming engine technologies.

Subject Headings

Mechanical engineering

Keywords

Engine Modeling; Air Estimation; Air-to-fuel Ratio Control; Volumetric Efficiency

Committee / Advisors

Yann Guezennec, PhD (Advisor)
Steve Yurkovich, PhD (Committee Member)

Pages

126p.

Document number: osu1211990310
Permalink: http://rave.ohiolink.edu/etdc/view?acc_num=osu1211990310

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