Comfort and energy-saving control of electric vehicle based on nonlinear model predictive algorithm

被引：0
|
作者：
Dou, Manli [1 ,2 ]
Shi, Chun [1 ,2 ]
Wu, Gang [1 ,2 ]
Liu, Xiaoguang [1 ,2 ]
机构：
[1] School of Information Science and Technology, University of Science and Technology of China, China
[2] National Electric Vehicle System Integration Engineering Research Center, China
来源：
Computer Modelling and New Technologies | 2014年 / 18卷 / 04期
关键词：
Fuel economy - Electric vehicles - Cost functions - Electric machine control - Vehicle safety - Nonlinear systems;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This paper develops a control-oriented drivability model for an electric vehicle and a nonlinear model predictive optimization algorithm for an electric vehicle. A cost function is developed that considers the tracking error of setting value and the variation of control volume. Longitudinal ride comfort and energy-saving is also considered. Simulations show that the developed control system provides significant benefits in terms of fuel economy, vehicle safety and tracking capability while at the same time also satisfying driver desired car following characteristics.
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页码：249 / 254
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