中国机械工程 ›› 2012, Vol. 23 ›› Issue (16): 2005-2009.

• 车辆工程 • 上一篇    下一篇

基于灰色理论的轿车复杂路况油耗影响因素优势顺序研究

张红1,2;姜潮1;闫晓磊1;王述建3   

  1. 1.湖南大学汽车车身先进设计制造国家重点实验室,长沙,410082
    2.广西工学院,柳州,545006;;3.中国汽车工程研究院,重庆,400039
  • 出版日期:2012-08-25 发布日期:2017-05-27
  • 基金资助:
    国家自然科学基金资助项目(70973034,71173070);国家财政部、教育部“跃升计划”(2007)资助项目;国家科技支撑计划资助项目(2012BAF12B20) 
    National Natural Science Foundation of China(No. 70973034,71173070);
    The National Key Technology R&D Program(No. 2012BAF12B20)

#br# Research on Order of Dominance of Car Fuel Consumption under Complicated Road Conditions Based on GS Theory

Zhang Hong1,2;Jiang Chao1;Yan Xiaolei1;Wang Shujian3   

  1. 1.Hunan University,National Key Laboratory of Advanced Design Manufacturing for Vehicle Body,Changsha,410082
    2.Guangxi University of Technology,Liuzhou,Guangxi,545006
    3.China Automobile Engineering Research Institue,Chongqing,400039
  • Online:2012-08-25 Published:2017-05-27
  • Supported by:
     
    National Natural Science Foundation of China(No. 70973034,71173070);
    The National Key Technology R&D Program(No. 2012BAF12B20)

摘要:

针对传统的基于大量实测数据的统计方法难以对轿车复杂行驶路况的多种油耗影响因素进行交互分析的问题,提出将灰色理论引入轿车复杂路况行驶油耗影响因素研究中,研究了复杂路况条件下整车装备质量、车载发动机排量、使用节能技术数量等因素对轿车行驶油耗的影响顺序,
揭示了影响油耗各因素的优势顺序内在规律。理论与实例实验分析证实,该方法切实可行,为轿车复杂路况油耗优化提供了有效的途径。

Abstract:

The traditional ways based on the statistical method are hard to analyze multi-affect mutually on car's running fuel consumptions under the complicated road conditions.This paper introduced the Grey-system theory into research of multi-affecting factors in car fuel consumptions,analyzed the series factors of the vehicle mass,displacement of engine,the energy-saving techniques when car was running under
complicated road conditions and sequencing the order of dominance about them,which was academically valuable.Tested by theory and laboratory experimental analysis,the way put forward is practical and provides an effective measure for the optimization of car fuel consumption under complicated road conditions.

Key words: order of dominance, fuel consumption, grey correlation, optimization

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