Impact factors of the real-world fuel consumption rate of light duty vehicles in China

Energy ◽  
2020 ◽  
Vol 190 ◽  
pp. 116388 ◽  
Author(s):  
Tian Wu ◽  
Xiao Han ◽  
M. Mocarlo Zheng ◽  
Xunmin Ou ◽  
Hongbo Sun ◽  
...  
Keyword(s):  
Fuel Consumption ◽  
Real World ◽  
Consumption Rate ◽  
Impact Factors ◽  
The Real ◽  
Fuel Consumption Rate ◽  
Light Duty ◽  
Light Duty Vehicles

scholarly journals Estimation of Real-World Fuel Consumption Rate of Light-Duty Vehicles Based on the Records Reported by Vehicle Owners

Energies ◽  
2021 ◽  
Vol 14 (23) ◽  
pp. 7915
Author(s):  
Isabella Yunfei Zeng ◽  
Shiqi Tan ◽  
Jianliang Xiong ◽  
Xuesong Ding ◽  
Yawen Li ◽  
...  
Keyword(s):  
Fuel Consumption ◽  
Real World ◽  
Consumption Rate ◽  
The Real ◽  
Fuel Consumption Rate ◽  
Light Gradient ◽  
Light Duty ◽  
Light Duty Vehicle ◽  
Light Duty Vehicles ◽  
Engine Power

Private vehicle travel is the most basic mode of transportation, so that an effective way to control the real-world fuel consumption rate of light-duty vehicles plays a vital role in promoting sustainable economic growth as well as achieving a green low-carbon society. Therefore, the factors impacting individual carbon emissions must be elucidated. This study builds five different models to estimate the real-world fuel consumption rate of light-duty vehicles in China. The results reveal that the light gradient boosting machine (LightGBM) model performs better than the linear regression, naïve Bayes regression, neural network regression, and decision tree regression models, with a mean absolute error of 0.911 L/100 km, a mean absolute percentage error of 10.4%, a mean square error of 1.536, and an R-squared (R2) value of 0.642. This study also assesses a large pool of potential factors affecting real-world fuel consumption, from which the three most important factors are extracted, namely, reference fuel-consumption-rate value, engine power, and light-duty vehicle brand. Furthermore, a comparative analysis reveals that the vehicle factors with the greatest impact are the vehicle brand, engine power, and engine displacement. The average air pressure, average temperature, and sunshine time are the three most important climate factors.

scholarly journals Estimation of Real-world Fuel Consumption Rate of Light-duty Vehicles Based on Big Data

2021 ◽  
Author(s):  
Isabella Yunfei Zeng ◽  
Shiqi Tan ◽  
Jianliang Xiong ◽  
Xuesong Ding ◽  
Yawen Li ◽  
...  
Keyword(s):  
Fuel Consumption ◽  
Real World ◽  
Consumption Rate ◽  
Effective Control ◽  
Fuel Consumption Rate ◽  
Light Duty ◽  
Light Duty Vehicle ◽  
Light Duty Vehicles ◽  
The Impact ◽  
Engine Power

Private vehicle travel is the most basic mode of transportation, and the effective control of the real-world fuel consumption rate of light-duty vehicles plays a vital role in promoting sustainable economic development as well as achieving a green low-carbon society. Therefore, the impact factors of individual carbon emission must be elucidated. This study builds five different models to estimate real-world fuel consumption rate of light-duty vehicles in China. The results reveal that the Light Gradient Boosting Machine (LightGBM) model performs better than the linear regression, Naïve Bayes regression, Neural Network regression, and Decision Tree regression models, with mean absolute error of 0.911 L/100 km, mean absolute percentage error of 10.4%, mean square error of 1.536, and R squared (R2) of 0.642. This study also assesses a large number of factors, from which three most important factors are extracted, namely, reference fuel consumption rate value, engine power and light-duty vehicle brand. Furthermore, a comparative analysis reveals that the vehicle factors with greater impact on real-world fuel consumption rate are vehicle brand, engine power, and engine displacement. Average air pressure, average temperature, and sunshine time are the three most important climate factors.

scholarly journals Multilayer Perceptron Method to Estimate Real-World Fuel Consumption Rate of Light Duty Vehicles

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 63395-63402 ◽  
Author(s):  
Yawen Li ◽  
Guangcan Tang ◽  
Jiameng Du ◽  
Nan Zhou ◽  
Yue Zhao ◽  
...  
Keyword(s):  
Fuel Consumption ◽  
Real World ◽  
Multilayer Perceptron ◽  
Consumption Rate ◽  
Fuel Consumption Rate ◽  
Light Duty ◽  
Light Duty Vehicles

Analysis of Driving Cycles for Emission Test of Light-Duty Vehicles in China

2012 ◽  
Vol 616-618 ◽  
pp. 1154-1160
Author(s):  
Jin Lin Xue
Keyword(s):  
Real World ◽  
Gasoline Engine ◽  
The Real ◽  
Driving Behaviors ◽  
Traffic Conditions ◽  
Driving Cycles ◽  
Driving Pattern ◽  
Light Duty ◽  
Light Duty Vehicles ◽  
The Impact

The driving cycles employed to measure the emissions from automotive vehicles should adequately represent the real-world driving pattern of the vehicle to provide the most realistic estimation of emissions levels. The driving cycles used for light-duty gasoline engine vehicles in China were reviewed in this paper firstly. Then the impact of various factors, such as driving behaviors, driving conditions, road conditions, traffic conditions, on real-world emission levels were analyzed. Finally, the shortages of the existing driving cycles were pointed out. It can be concluded that the emissions levels from automotive vehicles are underestimated because of the characteristics of the existing drive cycles, so it is urgent to research and develop new driving cycles to fit the situation of China.

Real-world emissions and fuel consumption of gasoline and hybrid light duty vehicles under local and regulatory drive cycles

2022 ◽  
Vol 805 ◽  
pp. 150407
Author(s):  
Ran Tu ◽  
Junshi Xu ◽  
An Wang ◽  
Mingqian Zhang ◽  
Zhiqiang Zhai ◽  
...  
Keyword(s):  
Fuel Consumption ◽  
Real World ◽  
Light Duty ◽  
Light Duty Vehicles

Experimental Investigation to Fuel Consumption Characteristics of Light-Duty Passenger Vehicle under Sliding Condition

2012 ◽  
Vol 433-440 ◽  
pp. 2142-2148
Author(s):  
Hong Liang Lin ◽  
Qiang Yu ◽  
Xuan Meng Cui ◽  
Xue Li Zhang
Keyword(s):  
Fuel Consumption ◽  
Consumption Rate ◽  
Operation Mode ◽  
Practical Significance ◽  
Exhaust Emission ◽  
Passenger Vehicle ◽  
Sliding Speed ◽  
Fuel Consumption Rate ◽  
Light Duty ◽  
Proper Operation

Technical level of driving behavior has run as high as 20% impact on vehicle’s fuel consumption, so choosing proper operation mode is one effective way to improve the vehicle’s running fuel economy. Vehicle sliding on level road is often used by driver, and analyzing vehicle’s fuel consumption characteristics during sliding condition has practical significance on realizing the reasonable driving and lowering fuel consumption. Taking some light-duty diesel passenger vehicle as experimental object, this paper discussed the variation discipline and curves involving sliding speed, sliding time and fuel consumption rate based on various sliding tests, especially analyzed the fuel consumption difference of sliding in neutral and sliding in different gears. Finally, following conclusions are achieved: the average fuel consumption rate while vehicle sliding in different gears is similar, which is about to 1/50 of sliding in neutral’. While sliding, the vehicle’s fuel consumption rate basically maintains at a low level. But once the sliding speed decreases too low, the fuel consumption rate increases dramatically. Therefore, aiming at lowing fuel consumption and reducing emission discharge, vehicle sliding in gear should have priority to sliding in neutral and choosing a reasonable sliding speed range is important for reducing vehicle’s running fuel consumption and exhaust emission.

Development of Operating Mode Distribution Models for Light-Duty Vehicles on Unrestricted Access Roadways

2020 ◽  
Vol 2674 (10) ◽  
pp. 416-428
Author(s):  
Jia Li ◽  
Hanhui He ◽  
Bo Peng
Keyword(s):  
Real World ◽  
Operating Mode ◽  
Specific Power ◽  
Trajectory Data ◽  
Average Speed ◽  
The Real ◽  
Light Duty ◽  
Unrestricted Access ◽  
Data Points ◽  
Light Duty Vehicles

The key correlating traffic variable for modeling vehicle emissions has evolved from average speed to vehicle-specific power (VSP), and recently to operating mode as defined in Motor Vehicle Emission Simulator (MOVES). The analysis of operating mode and its distribution, however, requires a large amount of data and is time consuming and challenging. This paper attempts to build models between the operating mode distributions and the common traffic variable—average speed—to facilitate the emission estimation. Focusing on light-duty vehicles and unrestricted access roadways, a floating car survey was conducted separately on arterials and collectors in Shaoshan, China. The trajectory data were processed to reveal the characteristics of operating mode distributions. A key finding is that, when the data points of the operating mode of idle are excluded, the VSP distributions of the remaining data points follow logistic distributions and the parameters can be linearly regressed with the average speed. Arterials and collectors feature different operating mode distributions even at the same average speed, and therefore different models were developed. The models were then applied to generate operating mode distributions, which were validated with the real-world data from the test bed and which, when compared with the default values generated by MOVES, fit the real-world condition better.

Dealing with the Gap between Type-Approval and In-Use Light Duty Vehicles Fuel Consumption and CO2 Emissions: Present Situation and Future Perspective

2018 ◽  
Vol 2672 (2) ◽  
pp. 23-32 ◽  
Author(s):  
Jelica Pavlovic ◽  
Konstantinos Anagnostopoulos ◽  
Michael Clairotte ◽  
Vincenzo Arcidiacono ◽  
Georgios Fontaras ◽  
...  
Keyword(s):  
Fuel Consumption ◽  
Real World ◽  
Test Procedure ◽  
Present Situation ◽  
Future Perspective ◽  
Type Approval ◽  
Real Driving Emission ◽  
Light Duty ◽  
The Difference ◽  
Light Duty Vehicles

There is increasing evidence suggesting that real-world fuel consumption and CO2 improvements in the last decade have been much less than those measured during type-approval tests. Scientific studies have found that the offset between officially reported values and real-world vehicle CO2 emissions in Europe has constantly increased over the last years. The difference between officially reported and actual CO2 emissions of vehicles has three main implications: (i) it undermines the effectiveness of CO2 regulations in reducing greenhouse gas emissions in Europe; (ii) it distorts competition between vehicle manufacturers; (iii) it undermines innovation. As a fundamental step to deal with this issue, the European Commission has already replaced the old and outdated test procedure used so far in the emission type-approval of vehicles with the worldwide harmonized light vehicles test procedure (WLTP). Being a lab-based test procedure, the WLTP, by its nature, can only cover part of the CO2 gap. There is therefore increasing pressure to integrate the current type-approval system with additional measures based on real-world measurements. One of the options under discussion is to use the CO2 emissions measured during the real driving emission test. The objective of the present paper is to assess the validity of this proposal and to propose other possible ways to deal with the CO2/fuel consumption gap. In particular, the paper presents experimental evidence on the variability of the CO2/fuel consumption of a vehicle, questioning the idea that a single central estimate of these quantities may be sufficient.

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