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Calibration of Automotive Aftertreatment Models through Co-Simulation with MATLAB Optimization Routines

Mack, James
http://rave.ohiolink.edu/etdc/view?acc_num=osu1461176367

Abstract Details

2016, Master of Science, Ohio State University, Mechanical Engineering.
New and existing government regulations mandate limits on various automotive exhaust tailpipe-out species including but not limited to Oxides of Nitrogen (NOx), Carbon Monoxide (CO), Unburned Hydrocarbons (THC), and Particulate Matter (PM). Automotive aftertreatment systems allow for the mitigation of harmful engine-out species by converting pollutants into less harmful products by the time they reach the tailpipe. Traditionally, catalytic converters have been used in stoichiometric Gasoline Port Fuel Injected (PFI) applications for reduction of gaseous emissions while particulate filters have been used in diesel applications to reduce PM. Gasoline Direct Injected (GDI) engines pose potential regulatory difficulties since unlike PFI, GDI vehicles emit PM at levels near regulatory limits. If manufactures cannot improve GDI engine control strategies to reduce PM levels, a Gasoline Particulate Filter (GPF) may be a required addition to GDI aftertreatment systems. GDI aftertreatment systems consisting of Three-Way Catalytic Converters (TWC) and GPFs can be developed in commercial automotive powertrain modelling packages. The performance of candidate component configurations can be virtually tested and evaluated; however before this can occur individual components must first be calibrated to insure modelled performance is close to reality. In this work 1-D models for both a TWC and a GPF were modelled in the powertrain modelling package GT-Power (GT-P). A simplified version of the kinetic set proposed by Ramathan and Sharma [42] was utilized within the TWC while the GPF was modelled as a non-catalyzed filter with thermal PM oxidation kinetics. Calibration was accomplished utilizing a series of optimization routines developed in MATLAB. These routines tuned system parameters until simulation values matched experimental results. GT-P models were coupled to MATLAB using a communications block within Simulink. Simulation values were passed from GT-P to Simulink while tuning parameters in GT-P were adjusted in MATLAB. In total, 17 parameters in the TWC and 6 parameters in the GPF were adjusted. Calibrated models show reasonable agreement in terms of species conversion efficiencies, filtration efficiency, and pressure drop. Details regarding the data analysis, model development, communications coupling, optimization routines, and results are presented herein.
Shawn Midlam-Mohler (Advisor)
Giorgio Rizzoni (Committee Member)
106 p.
Automotive Engineering

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Citations

  • Mack, J. (2016). Calibration of Automotive Aftertreatment Models through Co-Simulation with MATLAB Optimization Routines [Master's thesis, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1461176367

    APA Style (7th edition)

  • Mack, James. Calibration of Automotive Aftertreatment Models through Co-Simulation with MATLAB Optimization Routines. 2016. Ohio State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1461176367.

    MLA Style (8th edition)

  • Mack, James. "Calibration of Automotive Aftertreatment Models through Co-Simulation with MATLAB Optimization Routines." Master's thesis, Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1461176367

    Chicago Manual of Style (17th edition)

osu1461176367
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This open access ETD is published by The Ohio State University and OhioLINK.