Date of Graduation
Statler College of Engineering and Mineral Resources
Mechanical and Aerospace Engineering
Nigel N. Clark.
NOX and PM emissions data from the 5--mode CARB HHDDT Schedule, UDDS, and AC5080 were reviewed, with reference to each other. Next, two-dimensional correlations were used to predict the emissions rate on one cycle from the rates of two other cycles. The two-dimensional analysis yielded better correlations.;The emission of NOX, CO, CO2, HC and PM were analyzed with respect to weight. Vehicles did not follow linear NOX emissions trends over large weight ranges. Fleet-wide emissions for HHDDT could be predicted.;Lastly, a method was proposed to predict emissions based on the vehicle's emissions history from other cycles and on the properties of those cycles. Using a linear equation, derived from the road load equation, emissions predictions were made for the HHDDT. CO2 and NOX were better predicted than PM, with PM having an average error of 60.80% and CO2 and NOX at 31.78% and 32.78% respectively.
Vora, Kuntal A., "Cycles and weight effects on emissions and development of predictive emissions models for heavy duty trucks" (2006). Graduate Theses, Dissertations, and Problem Reports. 1758.