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With a view to application of model base development to exhaust catalyst design, a numerical model for catalytic reaction was formulated so as to be able to predict tailpipe emission during test mode running. In order to grasp the catalytic reaction characteristics, catalyst characteristics test using catalyst test pieces and synthetic gas was conducted and the basic reaction that takes place inside the exhaust catalyst was modeled by employing the 3 overall reaction models: Arrhenius model, competitive adsorption model, and adsorption model. By using the formulated numerical catalyst model, tailpipe emission estimation for a gasoline engine vehicle was carried out, and an estimated accuracy of within ±10% error range from the actual measurement was realized for all of CO, HC, and NO.

Increasing fuel economy is highly demanded because of the GHG reduction today. Turbocharged downsized engines have much attention as one of the effective technology for this demand. Turbocharged boost technology enables to increase thermal efficiency, but this also has a response delay known as turbo lag, which may cause lower engine performance and poor drivability. This issue impedes the broader application of this technology. The research discussed in this paper focused on turbo lag, and adopted a numerical approach to analyzing the detailed mechanism of this phenomenon. The study concluded that turbo lag is a delay in the boost pressure response that originates from a combination of factors. The primary factor in turbo lag is a delay that is due to physical properties of the turbocharger system; the secondary factor is a decreased effective turbine energy caused by a shift in the operating point, resulting from the primary factor.