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

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Abstract:

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.

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Advanced Materials Research (Volumes 433-440)

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2142-2148

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January 2012

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] YU Zhisheng, Automobile Theory. Beijing : China Machine Press, (2000).

Google Scholar

[2] CHEN Yinsan, YU Qiang, Automobile Dynamics (4th Edition). Beijing: Tsinghua University Press and Berlin: Springer, (2009).

Google Scholar

[3] Li L., Wang F., Advanced Motion Control and Sensing for Intelligent Vehicles, Berlin: Springer, (2007).

Google Scholar

[4] Behringer R., Sundareswaran S., Gregory B., Elsley R., Addison B., Guthmiller W., DailyR., Bevly D., the DARPA grand challenge-development of an autonomous vehicle, Proc. 2004 IEEE Intelligent Vehicles Symposium, 2004: 226-231.

DOI: 10.1109/ivs.2004.1336386

Google Scholar

[5] YU Qiang, CHEN Yinsan, MA Jian, GUO Rongqing, ZHANG Qingyu, Study of Non-continuous Linear Control System of Combining Action with Engine Brake, Exhaust Brake and Retarder, China Journal of Highway and Transport, vol. 18, Jan. 2005, p.117.

Google Scholar

[6] LI Shiwu, JIANG Bin, CHU Xiuming, et al, A Review of Driving Behavior Influence on Fuel Consumption and ExhaustEmission of Vehicle, Journal of Highway and Transportation Research and Development, vol. 20, Jan. 2003, p.156 – 158.

Google Scholar

[7] GAO Jidong, LI Mengliang, WANG Jianhai, et al, Correlativity Study on Fuel Consumption Measurement Methods for Light Vehicles, Automotive Engineering, vol. 27, April 2005, p.395.

Google Scholar

[8] WANG Dengfeng, DENG Yangqing, LIU Yanlin, ZHAO Bei, Analysis and Experimental Research of Influence of Automobile Usage Factors on Fuel Economy, Journal of Highway and Transportation Research and Development, Vol. 25, Aug. 2008, p.150.

Google Scholar

[9] XIAO Runmou, YE Yanxian, ZHOU Xiaoyue, LIU Dong, Critical slope length computation of engine brake inefficacy, Journal of Traffic and Transportation Engineering, vol. 6, April 2006, p.123.

Google Scholar

[10] Kuhner K. D., Concept and Implementation of a Software System on the Autonomous Mobile Outdoor Robot AMOR, Proc. 2008 IEEE Industrial Technology, 2008: 1-6.

DOI: 10.1109/icit.2008.4608567

Google Scholar

[11] Felix V. K., Michael H., Falk H., Andre M., Hans-Joachim W., Driving with Tentacles: Integral Structures for Sensing and Motion, , Journal of Robotic Systems, vol. 25, Sep. 2008, p.640 – 673.

Google Scholar

[12] Jung, C. R., Kelber, C. R., A Lane Departure Warning System Based on a Linear-paraboliclane Model, Proc. 2004 IEEE Intelligent Vehicles Symposium, 2004: 891-895.

DOI: 10.1109/ivs.2004.1336503

Google Scholar

[13] LIAO Xiangbing, DAI Qiqing, HU Xiaoping, SUN Hao, Fuel Economy Simulation of Automobile in Various Driving Operations Model, Transactions of CSICE, vol. 21, Jan. 2003, pp.62-64.

Google Scholar

[14] SUNDSTROM A, Self-assessment of driving skill -a review from a measurement perspective, Transportation Research Part F: Traffic Psychology and Behaviour, vol. 11, Jan. 2008, p.129.

DOI: 10.1016/j.trf.2007.05.002

Google Scholar

[15] HE Xin, WANG Qidong, YIE Shenbin, Headway and Prospect of Study on Vehicle Fuel Consumption, Journal of Beijing Technology and Business University(Natural Science Edition), vol. 25, Jan. 2007, p.33.

Google Scholar