scholarly journals THE IMPACT OF DRIVING CONDITIONS ON LIGHT-DUTY VEHICLE EMISSIONS IN REAL-WORLD DRIVING

Transport ◽  
2020 ◽  
Vol 35 (4) ◽  
pp. 379-388
Author(s):  
Dong Guo ◽  
Jinbao Zhao ◽  
Yi Xu ◽  
Feng Sun ◽  
Kai Li ◽  
...  
Keyword(s):  
Neural Network ◽  
Real World ◽  
Vehicle Emissions ◽  
Emission Rate ◽  
Vehicle Emission ◽  
Road Test ◽  
Light Duty ◽  
Emission Models ◽  
Light Duty Vehicle ◽  
Driving Conditions

To accurately estimate the effect of driving conditions on vehicle emissions, an on-road light-duty vehicle emission platform was established based on OEM-2100TM, and each second data of mass emission rate corresponding to the driving conditions were obtained through an on-road test. The mass emission rate was closely related to the velocity and acceleration in real-world driving. This study shows that a high velocity and acceleration led to high real-world emissions. The vehicle emissions were the minimum when the velocity ranged from 30 to 50 km/h and the acceleration was less than 0.5 m/s2. Microscopic emission models were established based the on-road test, and single regression models were constructed based on velocity and acceleration separately. Binary regression and neural network models were established based on the joint distribution of velocity and acceleration. Comparative analysis of the accuracy of prediction and evaluation under different emission models, total error, second-based error, related coefficient, and sum of squared error were considered as evaluation indexes to validate different models. The results show that the three established emission models can be used to make relatively accurate prediction of vehicle emission on actual roads. The velocity regression model can be easily combined with traffic simulation models because of its simple parameters. However, the application of neural network model is limited by a complex coefficient matrix.

Revision of Light-Duty Vehicle Emission Inventories Using Real-World Measurements-Auto/Oil Program, Phase II

1998 ◽  
Vol 48 (4) ◽  
pp. 291-305 ◽  
Author(s):  
Alison K. Pollack ◽  
Alan M. Dunker ◽  
Julie K. Fleber ◽  
Jeremy G. Heiken ◽  
Jonathan P. Cohen ◽  
...  
Keyword(s):  
Phase Ii ◽  
Real World ◽  
Vehicle Emission ◽  
Emission Inventories ◽  
Light Duty ◽  
Light Duty Vehicle

Experimental Study on the Influence of Gasoline Additives on Emission and Deposits of Light-Duty Vehicle

2015 ◽  
Vol 1092-1093 ◽  
pp. 191-195
Author(s):  
Ren Cheng Zhu ◽  
Xiao Feng Bao ◽  
Xin Yue ◽  
Ming Jia
Keyword(s):  
Experimental Study ◽  
Fuel Economy ◽  
Vehicle Emissions ◽  
Vehicle Emission ◽  
Base Oil ◽  
Light Duty ◽  
Light Duty Vehicle ◽  
Gasoline Additives ◽  
Gasoline Additive

Qualified gasoline additive could improve the vehicle emission, fuel economy and deposits in engine. However, some people consider that additive plays a little role in the gasoline, for the quality of additives is still quite uneven on the market. This paper researched the influence of additives on complete-vehicle emission by adding 10 different market additives into gasoline, respectivly. Then one qualified additive was chosen and blended into base oil to do road running test with driving 1.2 × 104 km on a light-duty vehicle. The results show that vehicle emissions could decreased 15% averagely and deposits in engine can be cleaned obviously with qualified additive.

scholarly journals Comparison of TRANSIMS' Light Duty Vehicle Emissions with On-Road Emission Measurements

2010 ◽  
Author(s):  
Mansoureh Jeihani ◽  
Kyoungho Ahn ◽  
Antoine G. Hobeika ◽  
Hanif D. Sherali ◽  
Hesham A. Rakha
Keyword(s):  
Field Data ◽  
Vehicle Emissions ◽  
State Of The Art ◽  
Simulation System ◽  
Heavy Duty ◽  
Light Duty ◽  
Emission Models ◽  
Light Duty Vehicle ◽  
Light Duty Vehicles ◽  
Road Emission

The Transportation Analysis and Simulation System, TRANSIMS, contains a vehicle emissions module that estimates tailpipe emissions for light and heavy-duty vehicles and evaporative emissions for light-duty vehicles. This paper describes and validates the TRANSIMS emission module and compares its emission estimates to on-road emission-measurements and other state-of-the-art emission models. The trend of the emissions estimated in thirteen different runs in each model are compared. The results indicate that the TRANSIMS model provides consistent trends of estimated carbon monoxide (CO) and hydrocarbons (HC) with field data trends and inconsistent trends of estimated nitrogen lxides (NOx). However, the magnitude of the emission estimated in TRANSIMS is closer to the field data than for other models.

Analysis of emissions from various driving cycles based on real driving measurements obtained in a high-altitude city

2020 ◽  
Vol 234 (6) ◽  
pp. 1563-1571 ◽  
Author(s):  
Meng Lyu ◽  
Xiaofeng Bao ◽  
Yunjing Wang ◽  
Ronald Matthews
Keyword(s):  
High Altitude ◽  
Real World ◽  
Vehicle Emissions ◽  
Control Strategies ◽  
Driving Cycle ◽  
Specific Power ◽  
Test Cycle ◽  
Light Duty ◽  
And Control ◽  
Light Duty Vehicles

Vehicle emissions standards and regulations remain weak in high-altitude regions. In this study, vehicle emissions from both the New European Driving Cycle and the Worldwide harmonized Light-duty driving Test Cycle were analyzed by employing on-road test data collected from typical roads in a high-altitude city. On-road measurements were conducted on five light-duty vehicles using a portable emissions measurement system. The certification cycle parameters were synthesized from real-world driving data using the vehicle specific power methodology. The analysis revealed that under real-world driving conditions, all emissions were generally higher than the estimated values for both the New European Driving Cycle and Worldwide harmonized Light-duty driving Test Cycle. Concerning emissions standards, more CO, NOx, and hydrocarbons were emitted by China 3 vehicles than by China 4 vehicles, whereas the CO2 emissions exhibited interesting trends with vehicle displacement and emissions standards. These results have potential implications for policymakers in regard to vehicle emissions management and control strategies aimed at emissions reduction, fleet inspection, and maintenance programs.

Measurement and Evaluation of Real-World Speed and Acceleration Activity Envelopes for Light-Duty Vehicles

2015 ◽  
Vol 2503 (1) ◽  
pp. 128-136 ◽  
Author(s):  
Bin Liu ◽  
H. Christopher Frey
Keyword(s):  
Real World ◽  
Test Procedure ◽  
Accurate Estimation ◽  
Vehicle Type ◽  
Light Duty ◽  
Road Grade ◽  
Light Duty Vehicle ◽  
Curb Weight ◽  
Vehicle Activity ◽  
Light Duty Vehicles

Accurate estimation of vehicle activity is critically important for the accurate estimation of emissions. To provide a benchmark for estimation of vehicle speed trajectories such as those from traffic simulation models, this paper demonstrates a method for quantifying light-duty vehicle activity envelopes based on real-world activity data for 100 light-duty vehicles, including conventional passenger cars, passenger trucks, and hybrid electric vehicles. The vehicle activity envelope was quanti-fied in the 95% frequency range of acceleration for each of 15 speed bins with intervals of 5 mph and a speed bin for greater than 75 mph. Potential factors affecting the activity envelope were evaluated; these factors included vehicle type, transmission type, road grade, engine displacement, engine horsepower, curb weight, and ratio of horsepower to curb weight. The activity envelope was wider for speeds ranging from 5 to 20 mph and narrowed as speed increased. The latter was consistent with a constraint on maximum achievable engine power demand. The envelope was weakly sensitive to factors such as type of vehicle, type of transmission, road grade, and engine horsepower. The effect of road grade on cycle average emissions rates was evaluated for selected real-word cycles. The measured activity envelope was compared with those of dynamometer driving cycles, such as the federal test procedure, highway fuel economy test, SC03, and US06 cycles. The effect of intervehicle variability on the activity envelope was minor; this factor implied that the envelope could be quantified based on a smaller vehicle sample than used for this study.

Emissions of Light-Duty Vehicles with Respect to Cruising Speed under Real-World Driving Conditions

2015 ◽  
Vol 141 (7) ◽  
pp. 04015004 ◽  
Author(s):  
Hector E. Carrera ◽  
Jessica Portillo ◽  
Gerardo M. Mejia ◽  
Alberto Mendoza
Keyword(s):  
Real World ◽  
Light Duty ◽  
Driving Conditions ◽  
Light Duty Vehicles

scholarly journals Analysis of the influence of RDE test data processing methods on the emission results of China 6 light duty vehicles

2021 ◽  
Vol 268 ◽  
pp. 01022
Author(s):  
Zhihong Wang ◽  
Penghui Wu ◽  
Nenghui Yu ◽  
Yuanjun Zhang ◽  
Zhijun Wang
Keyword(s):  
Data Processing ◽  
Test Data ◽  
Emission Factor ◽  
Vehicle Emission ◽  
Emission Data ◽  
Processing Methods ◽  
Light Duty ◽  
Light Duty Vehicle ◽  
Light Duty Vehicles ◽  
Data Processing Methods

The CO2 moving average window(MAW) method is used to process RDE (real drive emissions) emissions data in China 6 light duty vehicle emissions regulations, while the Euro 6 light duty vehicle emission regulations allow to use both of MAW and power binning(PB) method to deal with RDE emission data. In order to study the difference between the two data processing methods and analyze the differences in the emission results, 10 different types of light duty vehicles are conducted RDE test with PEMS (portable emissions measurement system), and the test data are processed by the two methods separately. The results show that there is a little difference between MAW and PB, while both of them can satisfy the vehicle emission assessment. The PB method calculates the emission factors higher than the MAW method. After removing the cold start and idle condition data, the results of PB is similar to MAW. Besides, reducing the average speed limit of urban working conditions in PB has a greater impact on the urban driving condition emission factor, but less on the whole cycle emission factor.

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