Volume 21 Issue 2
Aug.  2021
Turn off MathJax
Article Contents
WU Sheng-li, XING Wen-ting, SHAO Yi-ming, JIAN Xiao-chun, ZHAO Shu-en. Analysis of factors affecting vehicle driving condition based on road test in Chongqing[J]. Journal of Traffic and Transportation Engineering, 2021, 21(2): 150-158. doi: 10.19818/j.cnki.1671-1637.2021.02.013
Citation: WU Sheng-li, XING Wen-ting, SHAO Yi-ming, JIAN Xiao-chun, ZHAO Shu-en. Analysis of factors affecting vehicle driving condition based on road test in Chongqing[J]. Journal of Traffic and Transportation Engineering, 2021, 21(2): 150-158. doi: 10.19818/j.cnki.1671-1637.2021.02.013

Analysis of factors affecting vehicle driving condition based on road test in Chongqing

doi: 10.19818/j.cnki.1671-1637.2021.02.013
Funds:  National Key Research and Development Program of China (2016YFB0100905-4); National Natural Science Foundation of China (51705052); Natural Science Foundation of Chongqing (cstc2019jcyj-msxmX0779)
More Information
  • Author Bio:

    WU Sheng-li(1983-), male, associate professor, PhD, wushengli20008@163.com

  • Corresponding author: SHAO Yi-ming(1955-), male, professor, PhD, sym@cqjtu.edu.cn
  • Received Date: 2020-11-03
  • Publish Date: 2021-04-01
  • The vehicle road test method was used, and the vehicle driving status data were collected through the VBOX, an exhaust gas collection system, and a gyroscope. Based on the method of projection pursuit dynamic clustering, combined with the NSGA-Ⅱ method with an elite control strategy, different parameter indexes were processed, and the influence degrees of parameters on automotive fuel economy and emission characteristics were quantitatively analyzed. The change rules of influencing characteristics of different parameters under specific working conditions were studied. Research result shows that in all driving conditions, the weight of the impact of acceleration on the fuel economy is 65.52%, the weight of the impact on the VSP characteristic is 35.03%, and the impact weight of the turning radius on the VSP characteristic is 37.86%. When the vehicle speed is less than 10 km·h-1, the turning radius has the greatest impact on the fuel economy, and its impact weight is 80.74%. The acceleration has the greatest impact on the VSP characteristic, and its impact weight is 82.82%. When the vehicle speed is 10-40 km·h-1, the acceleration has the greatest impact on the fuel economy and VSP characteristic, and its impact weights are 34.01% and 48.59%, respectively. When the vehicle speed is greater than 40 km·h-1, the slope has the greatest impact on the fuel economy, and its impact weight is 75.59%. Vehicle speed has the greatest impact on the VSP characteristic, with an impact weight of 80.17%. When the vehicle is in a downhill condition, the weight of the slope's impact on the fuel economy is 69.84%, and the weight of the speed's impact on the VSP characteristic is 56.37%. When the vehicle is in an uphill condition, the impact weights of acceleration on the fuel economy and VSP characteristic are 54.62% and 94.24%, respectively. A quantitative analysis of the impact weights of different factors on fuel economy and VSP characteristic not only provides practical support for improving them, but also provides an important theoretical basis for intelligent vehicle control algorithms. 11 figs, 31 refs.

     

  • loading
  • [1]
    LUO Jia-xin, CUI Jian-chao, TAN Jian-wei, et al. A research on ammonia emission characteristics of light-duty vehicles based on WLTC and NEDC cycles[J]. Automotive Engineering, 2019, 41(5): 493-498. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-QCGC201905004.htm
    [2]
    GAO Ji-dong, QIN Kong-jian, LIANG Rong-liang, et al. Comparative analysis of medium-duty diesel engine emissions under BJCBC and ETC[J]. Journal of Jilin University (Engineering and Technology Edition), 2012, 42(1): 33-38. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-JLGY201201007.htm
    [3]
    LI T, CHEN X, YAN Z. Comparison of fine particles emissions of light-duty gasoline vehicles from chassis dynamometer tests and on-road measurements[J]. Atmospheric Environment, 2013, 68: 82-91. doi: 10.1016/j.atmosenv.2012.11.031
    [4]
    JIANG Ping, SHI Qin, CHEN Wu-wei, et al. A research on the construction of city road driving cycle based on wavelet analysis[J]. Automotive Engineering, 2011, 33(1): 70-73. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-QCGC201101019.htm
    [5]
    GUO Jia-chen, JIANG Heng, LEI Shi-ying, et al. Vehicle driving cycle construction method of urban roads[J]. Journal of Traffic and Transportation Engineering, 2020, 20(6): 197-209. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-QCJS201711003.htm
    [6]
    ZHAN Liang-liang, ZHANG Ting-zhi, ZHONG Wen-jun, et al. Effect of hydrogenation catalyzed biodiesel on combustion and emissions of GCI engines[J]. Transactions of CSICE, 2020, 38(2): 119-125. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-NRJX202002004.htm
    [7]
    ZHAO Yu-wei, WANG Xiao-chen, NIU Tian-lin, et al. Effects of PODEn additions on combustion and emission characteristics of a China-Ⅵ standard diesel engine[J]. Journal of Xi'an Jiaotong University, 2020, 54(3): 28-34. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-XAJT202003004.htm
    [8]
    ADAMS C A, LOEPER P, KRIEGER R, et al. Effects of biodiesel-gasoline blends on gasoline direct-injection compression ignition(GCI) combustion[J]. Fuel, 2013, 111(9): 784-790. http://www.sciencedirect.com/science/article/pii/S001623611300375X
    [9]
    PUTRASARI Y, LIM O. A study on combustion and emission of GCI engines fueled with gasoline-biodiesel blends[J]. Fuel, 2017, 189(10): 141-154. http://www.sciencedirect.com/science/article/pii/S0016236116310389
    [10]
    DONG Hong-zhao, XU Yong-bin, CHEN Ning. A research on the vehicle emission factors of real world driving cycle in Hangzhou City based on IVE model[J]. Automotive Engineering, 2011, 33(12): 1034-1038. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-QCGC201112007.htm
    [11]
    HAN Ya-xin, TAN Jian-wei, YANG Jia, et al. Analysis of factors affecting ammonia emission from gasoline vehicles under WLTC cycle[J]. Research of Environmental Sciences, 2019, 32(4): 654-661. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-HJKX201904014.htm
    [12]
    HU Zhi-yuan, LIN Biao-qi, HUANG Wen-ming, et al. Application performance of buses fueled with waste cooking oil-based B10 biodiesel[J]. Journal of Traffic and Transportation Engineering, 2018, 18(6): 73-81. (in Chinese) doi: 10.3969/j.issn.1671-1637.2018.06.008
    [13]
    YU Wen-lin, GE Yun-shan, WANG Xin, et al. A research on the real driving emission characteristics of hybrid electric vehicles[J]. Automotive Engineering, 2018, 40(10): 1139-1145. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-QCGC201810003.htm
    [14]
    NVESCH T, CEROFOLINI A, MANCINI G, et al. Equivalent consumption minimization strategy for the control of real driving NOx emissions of a diesel hybrid electric vehicle[J]. Energies, 2014, 7(5): 3148-3178. doi: 10.3390/en7053148
    [15]
    ZHANG L, HU X, QIU R, et al. Comparison of real-world emissions of LDGVs of different vehicle emission standards on both mountainous and level roads in China[J]. Transportation Research Part D: Transport and Environment, 2019, 69(4): 24-39. http://www.sciencedirect.com/science/article/pii/S1361920918307818
    [16]
    CHONG H S, KWON S, LIM Y, et al. Real-world fuel consumption, gaseous pollutants, and CO2 emission of light-duty diesel vehicles[J]. Sustainable Cities and Society, 2020, 53: 1-11. http://www.sciencedirect.com/science/article/pii/S2210670719317408
    [17]
    CHONG H S, PARK Y, KWON S, et al. Analysis of real driving gaseous emissions from light-duty diesel vehicles[J]. Transportation Research Part D: Transport and Environment, 2018, 65: 485-499. doi: 10.1016/j.trd.2018.09.015
    [18]
    LUJÁN J, BERMÚDEZ V, DOLZ V, et al. An assessment of the real-world driving gaseous emissions from a Euro 6 light-duty diesel vehicle using a portable emissions measurement system (PEMS)[J]. Atmospheric Environment, 2017, 174: 112-121. http://www.sciencedirect.com/science/article/pii/S1352231017308178
    [19]
    YANG Z, LIU Y, WU L, et al. Real-world gaseous emission characteristics of Euro 6b light-duty gasoline- and diesel-fueled vehicles[J]. Transportation Research Part D: Transport and Environment, 2020, 78: 1-11. http://www.sciencedirect.com/science/article/pii/S1361920919314415
    [20]
    SHAN Fei, WANG Guo-wei. Microscopic model of automotive fuel consumption based on driving conditions[J]. Highways and Automotive Applications, 2011(6): 31-36. (in Chinese) doi: 10.3969/j.issn.1671-2668.2011.06.008
    [21]
    KWON S, PARK Y, PARK J, et al. Characteristics of on-road NOx emissions from Euro 6 light-duty diesel vehicles using a portable emissions measurement system[J]. Science of the Total Environment, 2017, 576: 70-77. doi: 10.1016/j.scitotenv.2016.10.101
    [22]
    HE Ren, ZHUANG Zhi-hua, ZHENG Ji-ping, et al. Interval mathematics analysis method of running parameters influence on automobile fuel economy[J]. Journal of Traffic and Transportation Engineering, 2007, 7(3): 11-15. (in Chinese) doi: 10.3321/j.issn:1671-1637.2007.03.003
    [23]
    ZHANG Jin-hui, LI Ke-qiang, XU Biao, et al. Estimation of vehicle instantaneous fuel consumption based on least square method[J]. Automotive Engineering, 2018, 40(10): 1151-1157. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-QCGC201810005.htm
    [24]
    STILLWATER T, KURANI K S, MOKHTARIAN P L. The combined effects of driver attitudes and in-vehicle feedback on fuel economy[J]. Transportation Research Part D: Transport and Environment, 2017, 52: 277-288. doi: 10.1016/j.trd.2017.02.013
    [25]
    BERNARDO T, BENJAMÍN P, SOPHIA B, et al. Fuel economy optimization from the interaction between engine oil and driving conditions[J]. Tribology International, 2019, 138: 263-270. doi: 10.1016/j.triboint.2019.05.042
    [26]
    PITANUWAT S, SRIPAKAGORN A. An investigation of fuel economy potential of hybrid vehicles under real-world driving conditions in Bangkok[J]. Energy Procedia, 2015, 79: 1046-1053. doi: 10.1016/j.egypro.2015.11.607
    [27]
    ZAHABI S, MIRANDA-MORENO L, BARLA P, et al. Fuel economy of hybrid-electric versus conventional gasoline vehicles in real-world conditions: a case study of cold cities in Quebec, Canada[J]. Transportation Research Part D: Transport and Environment, 2014, 32: 184-192. doi: 10.1016/j.trd.2014.07.007
    [28]
    MA H, XIE H, HUANG D, et al. Effects of driving style on the fuel consumption of city buses under different road conditions and vehicle masses[J]. Transportation Research Part D: Transport and Environment, 2015, 41: 205-216. doi: 10.1016/j.trd.2015.10.003
    [29]
    WANG Shun-jiu. Application of projection pursuit dynamic cluster model in water resources assessment[J]. Journal of Sichuan University (Engineering Science Edition), 2008, 40(5): 22-26. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-SCLH200805003.htm
    [30]
    HUANG Wan-you, CHENG Yong, LI Chuang. Driving cycle construction of city road based on vehicle energy consumption in Jinan[J]. Journal of Southwest Jiaotong University, 2012, 47(6): 989-995. (in Chinese) doi: 10.3969/j.issn.0258-2724.2012.06.013
    [31]
    XING Wen-ting, ZHANG Zong-yi, WU Sheng-li. Quantitative evaluation model of ecological environment influence on shale gas development[J]. China Population, Resource and Environment, 2016, 26(7): 137-144. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZGRZ201607017.htm

Catalog

    Article Metrics

    Article views (548) PDF downloads(91) Cited by()
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return