排
模型预测控制
电动汽车
残余物
区间(图论)
计算
混合动力系统
汽车工程
计算机科学
控制(管理)
控制理论(社会学)
工程类
算法
数学
功率(物理)
物理
量子力学
组合数学
人工智能
机器学习
作者
Kaijiang Yu,Qing Liang,Junqi Yang,Yanan Guo
标识
DOI:10.1177/0954407015606314
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.
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