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Modeling, control, and diagnosis of a diesel lean nox traps catalyst

Midlam-Mohler, Shawn
http://rave.ohiolink.edu/etdc/view?acc_num=osu1117570314

Abstract Details

2005, Doctor of Philosophy, Ohio State University, Mechanical Engineering.
Diesel engines require the use of alternative catalytic methods to meet future emissions standards. One such alternative system is the bypass-regeneration, Lean NOx Trap (LNT), which is the focus of this work. A novel method of providing reductants for management of this system is presented, which is referred to as flame reforming. This method uses rich, premixed combustion of Diesel fuel to generate carbon monoxide, hydrogen, and light-chain hydrocarbons for LNT management. Through the development of a prototype flame reformer and experimental testing, this concept is demonstrated to offer advantages over traditional methods in cost and dynamic response. A technique, which is referred to as exotherm analysis, is developed which allows the observation of chemical phenomena inside the catalyst using substrate temperature measurements. Through the proper analytical methods, it is demonstrated experimentally that the temperature rise in the catalyst can be correlated to the rate that key reactions are taking place, as well as the mass of NOx stored and the effects of sulfur poisoning. These key reactions include the reduction of stored oxidizers as well as the readsorption of oxygen by the catalyst. This technique is exclusive to the bypass-regeneration system because of the low gas flow rates involved. A control-oriented model of the storage and regeneration process is also developed. This model is used to develop a complete LNT NOx management algorithm using the techniques of model-based control. This algorithm, which uses catalyst temperatures as the primary feedback signals, contains an adaptive engine-out NOx estimator as well as an adaptive catalyst-out NOx estimator. In this way, the algorithm automatically compensates for sulfur poisoning of the catalyst. The model also is used to develop a virtual LNT system simulator with all of associated control algorithms and adaptive estimators. With this tool, the LNT management algorithm is evaluated for an intended Tier 2, Bin 5 emissions application. In addition, experimental validation of key sub-algorithms is conducted on an engine dynamometer. The simulated performance of the system suggests that the system and control algorithm are capable of meeting Tier 2 standards with fuel economy penalties of less than 1%.
Yann Guezennec (Advisor)
379 p.
Engineering, Automotive
Diesel Emissions; Diesel Catalyst; NOx Trap; NOx Adsorber

Recommended Citations

Citations

  • Midlam-Mohler, S. (2005). Modeling, control, and diagnosis of a diesel lean nox traps catalyst [Doctoral dissertation, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1117570314

    APA Style (7th edition)

  • Midlam-Mohler, Shawn. Modeling, control, and diagnosis of a diesel lean nox traps catalyst. 2005. Ohio State University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1117570314.

    MLA Style (8th edition)

  • Midlam-Mohler, Shawn. "Modeling, control, and diagnosis of a diesel lean nox traps catalyst." Doctoral dissertation, Ohio State University, 2005. http://rave.ohiolink.edu/etdc/view?acc_num=osu1117570314

    Chicago Manual of Style (17th edition)

osu1117570314
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© 2005, all rights reserved.
This open access ETD is published by The Ohio State University and OhioLINK.