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汽车安全与节能学报

汽车安全与节能学报 ›› 2014, Vol. 5 ›› Issue (03): 257-262.DOI: 10.3969/j.issn.1674-8484.2014.03.006

• 汽车安全 • 上一篇    下一篇

基于道路坡度实时信息的经济车速优化方法

王建强1，俞倩雯1，李升波1，段宁2，李克强1   

  1. 1. 清华大学 汽车安全与节能国家重点实验室，北京 100084，中国；
    2. IBM 中国研究实验室，北京 100094，中国
  • 收稿日期:2014-01-16 出版日期:2014-09-25 发布日期:2014-10-08
  • 作者简介:俞倩雯(1988 － )，女( 汉)，上海，硕士研究生。E-mail ：yqw11@mails.tsinghua.edu.cn
  • 基金资助:

    国家自然科学基金资助项目(51205228), 国家“八六三”高技术项目(2012AA11190)

Eco speed optimization based on real-time information of road gradient

WANG Jianqiang1, YU Qianwen1, LI Shengbo1, DUAN Ning2, LI Keqiang1   

  1. 1. State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing 100084, China;
    2. China Research Lab of IBM, Beijing 100094, China
  • Received:2014-01-16 Online:2014-09-25 Published:2014-10-08

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摘要：

Road slopes significantly affect vehicles’ fuel economy. This paper presents a novel Eco Speed
algorithm for vehicles on roads with up-down slopes based on road gradient information, which is the basic for
eco-driving assistance system with connected vehicles. Based on the construction of the vehicle model and the
fuel consumption model, the algorithm first calculated a steady eco speed, which is the most fuel economical
cruise velocity for a vehicle on the road without slopes. When entering a road slope, with the aid of GPS (global
positioning system) / GIS (geographic information system) information, the algorithm calculated the eco speed
profile, using dynamic programming. The algorithm was evaluated under Carsim and Matlab/Simulink, and the
simulation results show that the fuel consumption is reduced.

关键词: 汽车节能, 车联网, 驾驶辅助系统, 坡道信息, 车速优化, 动态规划

Abstract:

Road slopes significantly affect vehicles’ fuel economy. This paper presents a novel Eco Speed
algorithm for vehicles on roads with up-down slopes based on road gradient information, which is the basic for
eco-driving assistance system with connected vehicles. Based on the construction of the vehicle model and the
fuel consumption model, the algorithm first calculated a steady eco speed, which is the most fuel economical
cruise velocity for a vehicle on the road without slopes. When entering a road slope, with the aid of GPS (global
positioning system) / GIS (geographic information system) information, the algorithm calculated the eco speed
profile, using dynamic programming. The algorithm was evaluated under Carsim and Matlab/Simulink, and the
simulation results show that the fuel consumption is reduced.

Key words: eco-driving, connected vehicles, driving assistance system, road gradient information, speed optimization, dynamic programming

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