title: [Instantaneous emission simulation for light-duty diesel vehicle with different driving cycles by CMEM model].
abstract: CMEM model for calculating time based instantaneous emission from light duty diesel vehicle and its input parameters were introduced. On-board test data were used to validate the simulation results. The relative error of THC, CO, and NOx are 14.2%, 3.7% and 32.7%, respectively, while the correlation coefficients reach 0.73, 0.72 and 0.87. The instantaneous emissions of the light duty diesel vehicle simulated by CMEM model are strongly coherent with the transient driving cycle in Shanghai. The simulation of instantaneous emissions and fuel economy under the ECE-15 cycle, FTP cycle, Japan 10-15 cycle and the cycle of shanghai arterial road show that the instantaneous emissions decline with the increase of the vehicle speed, especially from 0-10 km x h(-1) to 10-20 km x h(-1). The acceleration process dominated the whole emissions, which contributes over 30% of the total emission, and sometimes it even reaches over 70%. The contributions of shanghai arterial road for idle condition are 40% and 30%, emission factors of CO are 1.3, 1.5 and 1.4 times of ECE-15 cycle, FTP cycle, Japan 10-15 cycle respectively; THC are respectively 1.5, 2.1 and 1.9 times of above cycles; and emission factors of NOx are respectively 1.2, 1.3 and 1.3 times of ECE-15 cycle, FTP cycle and Japan 10-15 cycle. The fuel economy of the light-duty diesel car on shanghai arterial road is the worst, which is 9.56 km x L(-1). The driving cycles used on abroad can not reflect the actual driving conditions in China.
authors: Shanghai Academy of Environmental Sciences, Shanghai 200233, China. bachsapple@163.com
authors: Pu
authors: P
authors: Dai
authors: Chang-Hong
authors: CH
authors: Chen
authors: Cheng
authors: C
authors: Huang
authors: Li
authors: L
authors: Li
authors: Ji-Hong
authors: JH
authors: Jia
authors: Yan-Qiang
authors: YQ
authors: Dong
mesh_terms: D000393:Air Pollutants / Q000032:analysis*; D001334:Automobile Driving; D002681:China; D004784:Environmental Monitoring / Q000379:methods; D005742:Gasoline; D006801:Humans; D008962:Models, Theoretical; D014504:Urban Health; D001335:Vehicle Emissions / Q000032:analysis*
chemical_list: D000393:Air Pollutants; D005742:Gasoline; D001335:Vehicle Emissions