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Systematic Optimization and Control Design for Downsized Boosted Engines with Advanced Turbochargers

Liu, Yuxing
http://orcid.org/0000-0003-1378-3262
http://rave.ohiolink.edu/etdc/view?acc_num=osu1405764571

Abstract Details

2014, Master of Science, Ohio State University, Mechanical Engineering.
Downsized boosted engines are a promising solution to increase fuel economy and reduce CO2 emissions. With the arrival of several advanced charging technologies, the complexity of matching an engine to charging systems to achieve high levels of boost pressure over a wide range of engine speed increases considerably. Besides, the air-path control of advanced boosting systems is more challenging due to the presence of multiple actuators. This research aims at developing a methodology for systematic optimization and control design for downsized boosted engines with advanced boosting systems. The objective motivates the development of parametric models for families of compressors and turbines, considering the effects of geometric parameters on the flow and efficiency characteristics. The parametric modeling approach is used to replace and existing map-based model of the two-stage turbocharger of a Diesel engine simulator, to provide a validation against full engine test data. Next, a study is conducted to assess the opportunity of controlling the air-path of Diesel engine with two-stage turbochargers to increase the exhaust gas energy upstream of the aftertreatment system. The problem is formulated as model predictive control tracking problem, and the controller and observer are designed on a piecewise affine system. The effects of different weights in cost function are compared, and a Pareto front is obtained. Finally, a heuristic control is developed based on MPC results. As main contributions, the parametric model of turbocharger and model predictive control of air-path will serve as ground work for future research on systematic optimization and control design of engines with advanced boosting systems.
Marcello Canova (Advisor)
Giorgio Rizzoni (Committee Member)
137 p.
Automotive Engineering; Electrical Engineering; Mechanical Engineering
Two-stage turbocharger, turbocharger model, engine air-path control, model predictive control

Recommended Citations

Citations

  • Liu, Y. (2014). Systematic Optimization and Control Design for Downsized Boosted Engines with Advanced Turbochargers [Master's thesis, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1405764571

    APA Style (7th edition)

  • Liu, Yuxing. Systematic Optimization and Control Design for Downsized Boosted Engines with Advanced Turbochargers. 2014. Ohio State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1405764571.

    MLA Style (8th edition)

  • Liu, Yuxing. "Systematic Optimization and Control Design for Downsized Boosted Engines with Advanced Turbochargers." Master's thesis, Ohio State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=osu1405764571

    Chicago Manual of Style (17th edition)

osu1405764571
4,223
© 2014, some rights reserved.Creative Commons License Systematic Optimization and Control Design for Downsized Boosted Engines with Advanced Turbochargers by Yuxing Liu is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. Based on a work at etd.ohiolink.edu.
This open access ETD is published by The Ohio State University and OhioLINK.