| 基于道路坡度实时信息的经济车速优化方法 | |
| 王建强 ; 俞倩雯 ; 李升波 ; 段宁 ; 李克强 ; WANG Jianqiang ; YU Qianwen ; LI Shengbo ; DUAN Ning ; LI Keqiang | |
| 2016-03-30 ; 2016-03-30 | |
| 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 electric vehicle(EV) lithium-ion battery battery system temperature sensitivity battery thermal management system(BTMS) charge protocol U463.6 U471.23 |
| 其他题名 | Eco speed optimization based on real-time information of road gradient |
| 中文摘要 | 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. |
| 语种 | 中文 ; 中文 |
| 内容类型 | 期刊论文 |
| 源URL | [http://ir.lib.tsinghua.edu.cn/ir/item.do?handle=123456789/144832]  |
| 专题 | 清华大学 |
| 推荐引用方式 GB/T 7714 | 王建强,俞倩雯,李升波,等. 基于道路坡度实时信息的经济车速优化方法[J],2016, 2016. |
| APA | 王建强.,俞倩雯.,李升波.,段宁.,李克强.,...&LI Keqiang.(2016).基于道路坡度实时信息的经济车速优化方法.. |
| MLA | 王建强,et al."基于道路坡度实时信息的经济车速优化方法".(2016). |
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