Journal of South China University of Technology (Natural Science Edition) ›› 2017, Vol. 45 ›› Issue (4): 103-111.doi: 10.3969/j.issn.1000-565X.2017.04.015

• Traffic & Transportation Engineering • Previous Articles     Next Articles

Speed Planning Method of Vehicles in Economical Cruise State

ZHANG Li-bin1 LIU Huan-feng1 SHAN Hong-ying2 YANG Yu-lin1,3   

  1. 1.College of Transportation,Jilin University,Changchun 130022,Jilin,China; 2.College of Mechanical Science and Engineering,Jilin University,Changchun 130022,Jilin,China; 3.Huachen Automotive Engineering Research Institute,Shenyang 110000,Liaoning,China
  • Received:2016-05-12 Revised:2016-11-25 Online:2017-04-25 Published:2017-03-01
  • Contact: 单洪颖( 1973-) ，女，副教授，主要从事生产制造系统仿真研究． E-mail:shanhongying07@163.com
  • About author:张立斌( 1971-) ，男，教授，博士生导师，主要从事汽车检测与诊断研究． E-mail: zlb@ jlu． edu． cn
  • Supported by:
    Supported by the National Natural Science Foundation of China( 50775094) and the Science and Technology Development Program of Jilin Province( 20150204025GX)

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Abstract:

In order to improve the fuel economy of expressway running vehicles in adaptive cruise state,a speed planning model of vehicles in economical cruise is established.The model plans vehicle's economical cruising speed according to road conditions and climate environment parameters,First of all a test environment is constructed to perform a traverse test,and a database of fuel consumption per hundred kilometers is established.Then,in order to predict the economical speed under different driving resistances,the mapping relationship between running speed as well as running resistance and fuel consumption is revealed based on the related theory of cloud model.Finally,the speed change trajectory in economical cruise state is planned according to the economical vehicle speed.Test results show that the fuel consumption of the vehicle along the economical cruising speed change trajectory reduces significantly and fuel economy is effectively improved.

Key words: vehicle cruise, fuel economy, cloud model, vehicle speed planning

CLC Number: