Predictive cruise control

2017 Electric Electronics, Computer Science, Biomedical Engineerings' Meeting (EBBT) Pub Date : 2017-04-20 DOI:10.1109/EBBT.2017.7956763

Y. Kavurucu, T. Ensari

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引用次数: 7

Abstract

Predictive Cruise Control (PCC) is one of the most popular functionality on today vehicles. Briefly, it controls vehicle speed at the desired speed value determined by driver. In almost every vehicle sold today, cruise control could be found because it makes drivability manner easier and besides that it decreases fuel consumption with holding vehicle speed stable. Because of high popularity of cruise control, vehicle companies try to improve cruise control usage and also it is a good way to reduce fuel consumption. Therefore, new functionalities of cruise control become to emerge. One of these is predictive feature of cruise control or shortly PCC. PCC is an optimization problem for reducing fuel consumption and travel time and basically it is about finding the vehicle speed profile on a given slope and traffic profile of the road. Therefore, in this project, a PCC optimization problem is tried to solve with given road slope and traffic profile. Fuel consumption and time based cost functions are used and moreover dynamic programming structure is used for finding solution of optimization algorithm. As solution of the algorithm, vehicle speed profile is visualized with developing graphical user interface at the end of the study.

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预测巡航控制

预测巡航控制(PCC)是当今汽车上最流行的功能之一。简而言之，它将车辆的速度控制在驾驶员确定的所需速度值上。在几乎每一辆车今天出售，巡航控制可以找到，因为它使驾驶方式更容易，此外，它减少燃料消耗保持车速稳定。由于巡航控制系统的高度普及，汽车公司试图提高巡航控制系统的使用率，这也是降低燃料消耗的好方法。因此，巡航控制的新功能开始出现。其中之一是巡航控制或简称PCC的预测功能。PCC是一个减少燃料消耗和行驶时间的优化问题，基本上是关于在给定的坡度和道路交通剖面上找到车辆的速度曲线。因此，本课题尝试在给定道路坡度和交通剖面的情况下解决PCC优化问题。采用燃料消耗和基于时间的成本函数，并采用动态规划结构求解优化算法。作为该算法的解决方案，在研究的最后开发了图形用户界面，实现了车辆速度曲线的可视化。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2017 Electric Electronics, Computer Science, Biomedical Engineerings' Meeting (EBBT)

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