Economic Cruising Speed Planning of Intelligent Network Connected Electric Vehicle

被引：0
|
作者：
Zhang Z. [1 ]
Ding H. [1 ]
Zhang N. [2 ]
Guo K. [1 ]
机构：
[1] Jilin University, State Key Laboratory of Automotive Simulation and Control, Changchun
[2] School of Electrical & Electronic Engineering, Changchun University of Technology, Changchun
来源：
Qiche Gongcheng/Automotive Engineering | 2022年 / 44卷 / 04期
关键词：
Approximate dynamic programming; Economic driving; Energy management; Network connected EV;
D O I：
10.19562/j.chinasae.qcgc.2022.04.016
中图分类号：
学科分类号：
摘要：
On the premise of sufficiently utilizing intelligent traffic environment information, an economical cruising speed planning method based on approximate dynamic programming in rolling distance domain is proposed in this paper, to enable vehicle achieve economic cruise on roads with different slopes, effectively extending the driving range of electric vehicles. Firstly, according to the dynamic traffic environment, the segmented rolling form based on distance domain is designed, and the mapping relationship between vehicle speed and road slope is established. Then, the approximate dynamic programming algorithm with asynchronous parallel network is adopted to rapidly calculate the economic cruising speed with concurrent considerations of safety and traffic efficiency. Finally, a hardware-in-the-loop simulation platform for intelligent connected vehicle is built to verify the method proposed. The results indicate that compared with traditional constant-speed cruise strategy, the proposed method effectively reduces the energy consumption and extends the driving range of vehicle without increasing its travel time. © 2022, Society of Automotive Engineers of China. All right reserved.
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页码：609 / 616and637
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