| Summary: | 碩士 === 國立中興大學 === 機械工程學系 === 92 === Although the number of diesel vehicles is only a small portion of the registered motor vehicles in Taiwan, the pollutants produced by Diesel vehicles constitutes a major part of the emission inventory due to the long traveling distance of Diesel vehicles.
The purpose of this paper is to compile in-use vehicle I/M test data, trying to establish the relationship between PM and smoke, and to investigate the factors that influence the emission model expected to evaluate the emission inventory of diesel vehicles.
It was found that the smoke data were gamma distributed. The smoke under no load condition was the highest in all test conditions. Analyzing the I/M data from 2000 to 2002 showed that the Diesel smoke was getting improved, and the discrepancy of smoke data among bus, heavy-duty truck, and light-duty truck has smoothed out. In addition, a method of investigating the effects of illegal adjustment of diesel vehicles was established. It was found that reduction of horsepower was well correlated with the reduction of smoke level.
The relationship between PM and smoke was modeled with a neural network. Two models were established respectively for vehicles in compliance with the second and third stage of emission standards. These models can be used to probe the particulate emission of in-use vehicles.
The conversion factor used to convert the emission data of heavy-duty diesel vehicles from grams per brake horsepower per hour to grams per kilometer was analyzed in this paper. Simulations were carried out to investigate the effects of weight, load, grade, and driving cycle on the value of conversion factor. It was found that the conversion factor is ranged from 1.3 to 5.4, depending on the test cycles.
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