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首页> 外文期刊>Journal of Advanced Transportation >Fuel-Efficient Driving Strategies for Heavy-Duty Vehicles: A Platooning Approach Based on Speed Profile Optimization
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Fuel-Efficient Driving Strategies for Heavy-Duty Vehicles: A Platooning Approach Based on Speed Profile Optimization

机译:重型车辆节油驾驶策略:基于速度曲线优化的排法

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摘要

A method for reducing the fuel consumption of a platoon of heavy-duty vehicles (HDVs) is described and evaluated in simulations for homogeneous and heterogeneous platoons. The method, which is based on speed profile optimization and is referred to as P-SPO, was applied to a set of road profiles of10 km length, resulting in fuel reduction of15.8% for a homogeneous platoon and between 16.8% and 17.4% for heterogeneous platoons of different mass configurations, relative to the combination of standard cruise control (for the lead vehicle) and adaptive cruise control (for the follower vehicle). In a direct comparison with MPC-based approaches, it was found that P-SPO outperforms the fuel savings of such methods by around 3 percentage points for the entire platoon, in similar settings. In P-SPO, unlike most common platooning approaches, each vehicle within the platoon receives its own optimized speed profile, thus eliminating the intervehicle distance control problem. Moreover, the P-SPO approach requires only a simple vehicle controller, rather than the two-layer control architecture used in M PC-based approaches.
机译:描述了一种减少重型车辆(HDV)排燃料消耗的方法,并在模拟中对同质和异类排进行了评估。该方法基于速度曲线优化,并称为P-SPO,已应用于一组10 km长的道路曲线,导致均匀排的燃油减少15.8%,介于16.8%和17.4%之间相对于标准巡航控制(针对领先车辆)和自适应巡航控制(针对从属车辆)的组合,针对具有不同质量配置的异构排。通过与基于MPC的方法进行直接比较,发现在相似的环境下,P-SPO的排油效果比整个排方法节省了大约3个百分点。在P-SPO中,与大多数常规排方法不同,排中的每辆车都具有自己的优化速度曲线,从而消除了车距控制问题。此外,P-SPO方法仅需要简单的车辆控制器,而不需要基于M PC的方法中使用的两层控制体系结构。

著录项

  • 来源
    《Journal of Advanced Transportation》 |2018年第5期|4290763.1-4290763.12|共12页
  • 作者

    Torabi Sina; Wahde Mattias;

  • 作者单位

    Chalmers Univ Technol, Dept Mech & Maritime Sci, S-41296 Gothenburg, Sweden;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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