基于道路坡度实时信息的经济车速优化方法  

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

作　　者：王建强[1] 俞倩雯[1] 李升波[1] 段宁 李克强[1] 

机构地区：[1]清华大学汽车安全与节能国家重点实验室 [2]IBM中国研究实验室

出　　处：《汽车安全与节能学报》2014年第3期257-262,共6页Journal of Automotive Safety and Energy

基　　金：国家自然科学基金资助项目(51205228);国家"八六三"高技术项目(2012AA11190)

摘　　要：作为生态驾驶辅助系统的组成部分,提出了基于道路坡度实时信息的车辆经济车速优化方法。搭建了车辆油耗模型和车辆动力学模型,对于车辆行驶在没有坡度的和前方出现坡道的两种情况,进行最省油车速优化。根据坡度信息,利用动态规划算法,计算出通过坡道的经济车速。对于一款D级轿车,运用Matlab/Simulink和Carsim联合仿真,与真实道路信息上实车模拟结果进行对比分析。结果表明:与传统定速巡航控制算法相比,该算法节油达到5%。这说明,该算法能降低车辆油耗。结合全球定位系统(GPS)信息以及地理信息系统(GIS),该技术可用于基于车联网的生态驾驶辅助系统。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 

分 类 号：U491.25[交通运输工程—交通运输规划与管理]