Model predictive control for hybrid electric vehicle platooning using route information

被引：17

作者：

Yu, Kaijiang ^{[1
]}

Liang, Qing ^{[2
]}

Yang, Junqi ^{[1
]}

Guo, Yanan ^{[3
]}

机构：

[1] Henan Polytech Univ, Sch Elect Engn & Automat, Jiaozuo 454000, Peoples R China

[2] Henan Polytech Univ, Coll Comp Sci & Technol, Jiaozuo, Henan, Peoples R China

[3] Kyushu Univ, Grad Sch Integrated Frontier Sci, Fukuoka 812, Japan

来源：

PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING | 2016年 / 230卷 / 09期

基金：

中国国家自然科学基金;

关键词：

Hybrid electric vehicles; model predictive control; vehicle platooning; route information; ENERGY MANAGEMENT; POWER MANAGEMENT; SYSTEM; BUS;

D O I：

10.1177/0954407015606314

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

This paper presents a new model predictive control system for hybrid electric vehicle platooning using route information to improve fuel economy. The new features of this study are as follows. First, a system for hybrid electric vehicle platooning has been developed considering varying the desired vehicle speed. Second, a general model of road slope in a vehicle platoon is developed. Third, the effect of prediction horizon and sampling interval on battery efficiency is analyzed. The model predictive control problem is solved using a discrete numerical computation method, the continuation and generalized minimum residual method. Computer simulation results reveal improvements in fuel economy using the proposed control method.

引用

页码：1273 / 1285

页数：13

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