Model predictive control for hybrid vehicle ecological driving using traffic signal and road slope information

被引：49
作者：
Yu K. [1 ]
Yang J. [1 ]
Yamaguchi D. [2 ]
机构：
[1] School of Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo Henan
[2] School of Information Science and Electrical Engineering, Kyushu University, Fukuoka Fukuoka
来源：
Control Theory and Technology | 2015年 / 13卷 / 1期
基金：
中国国家自然科学基金;
关键词：
Ecological driving; intelligent transportation systems; model predictive control; optimal control; traffic signal;
D O I：
10.1007/s11768-015-4058-x
中图分类号：
学科分类号：
摘要：
This paper presents development of a control system for ecological driving of a hybrid vehicle. Prediction using traffic signal and road slope information is considered to improve the fuel economy. It is assumed that the automobile receives traffic signal information from intelligent transportation systems (ITS). Model predictive control is used to calculate optimal vehicle control inputs using traffic signal and road slope information. The performance of the proposed method was analyzed through computer simulation results. Both the fuel economy and the driving profile are optimized using the proposed approach. It was observed that fuel economy was improved compared with driving of a typical human driving model. © 2015, South China University of Technology, Academy of Mathematics and Systems Science, Chinese Academy of Sciences and Springer-Verlag Berlin Heidelberg.
引用
收藏
页码：17 / 28
页数：11
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