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Modeling, Estimation and Control of Integrated Diesel Engine and Aftertreatment Systems

Chen, Pingen
http://rave.ohiolink.edu/etdc/view?acc_num=osu1416323165

Abstract Details

2014, Doctor of Philosophy, Ohio State University, Mechanical Engineering.
The application of modern Diesel engines in automotive industry has been widely recognized for reasons of their distinguished performances on fuel economy, durability, and reliability. Meanwhile, NOx and particulate matters (PM) emissions have been the main concerns in the evolution of Diesel engines as more and more stringent emission standards have been legislated against Diesel engine emissions worldwide. In addition, as the Greenhouse gas emissions are receiving more and more concerns due to global warming issues, the demand of fuel economy improvement is increasing significantly. The objective of this research is to develop systematic control methodologies, based on fundamental insight into the system characteristics, to improve the overall fuel economy and emission performance of integrated Diesel engine and aftertreatment systems. The test platform of this research is a medium-duty Diesel engine equipped with high-pressure common-rail fuel injection system, dual-loop exhaust gas recirculation systems, variable geometry turbocharger system, and an integrated aftertreatment system including a Diesel oxidation catalyst (DOC), Diesel particulate filter (DPF), and two-catalyst selective catalytic reduction (SCR) system. The topics of this research fall into two groups. The first group focuses on the modeling, estimation, and control of integrated aftertreatment systems based on the interactions between the subsystems with the objective of maintaining low tailpipe emissions at low cost. Topics covered in this group include the modeling and observer-based estimations for oxygen concentration and thermal behaviors across the DOC and DPF, state estimator design for SCR system using production NOx sensor measurements, and the active NO/NO2 ratio controller design for DOC and DPF to improve the SCR performance. The second group mainly concentrates on the modeling, estimation, and control of integrated engine-aftertreatment systems grounded on the interactions between engine and aftertreatment systems to simultaneously maintain high fuel efficiency and low tailpipe emissions. Topics contained in this group include the air-fraction modeling and estimation for Diesel engines coupled with aftertreatment systems during normal operations and active DPF regenerations, control-oriented thermal model for integrated Diesel engine and aftertreatment system active thermal management, and integrated Diesel engine and aftertreatment active NOx emissions control for fuel economy improvement. The control-oriented models, observers, and controllers of integrated Diesel engine and aftertreatment systems proposed in this research, when applied in automotive fields, have potentials of improving the engine fuel efficiency, reliability, and reducing tailpipe emissions in systematic, real-time, and cost-effective manners.
Junmin Wang, PhD (Advisor)
Jack McNamara, PhD (Committee Member)
Chia-Hsiang Menq, PhD (Committee Member)
Ahmet Selamet, PhD (Committee Member)
290 p.
Mechanical Engineering
Diesel Engine; Aftertreatment Systems; Modeling; Estimation; Control; Fuel Economy; Emissions

Recommended Citations

Citations

  • Chen, P. (2014). Modeling, Estimation and Control of Integrated Diesel Engine and Aftertreatment Systems [Doctoral dissertation, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1416323165

    APA Style (7th edition)

  • Chen, Pingen. Modeling, Estimation and Control of Integrated Diesel Engine and Aftertreatment Systems. 2014. Ohio State University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1416323165.

    MLA Style (8th edition)

  • Chen, Pingen. "Modeling, Estimation and Control of Integrated Diesel Engine and Aftertreatment Systems." Doctoral dissertation, Ohio State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=osu1416323165

    Chicago Manual of Style (17th edition)

osu1416323165
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This open access ETD is published by The Ohio State University and OhioLINK.