A study on the control strategy for maximum energy recovery by regenerative braking in electric vehicles

被引：0
|
作者：
Yang, Yajuan [1 ]
Zhao, Han [1 ]
Zhu, Maofei [2 ]
机构：
[1] School of Mechanical and Automotive Engineering, Hefei University of Technology, Hefei 230009, China
[2] Research Institute of New Energy Vehicles, JiangHuai Automobile Co., Ltd., Hefei 230601, China
来源：
Qiche Gongcheng/Automotive Engineering | 2013年 / 35卷 / 02期
关键词：
Fuzzy control - Hybrid vehicles - Traction motors - Quadratic programming - Recovery - Electric machine control;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
The regenerative braking control strategy for a light hybrid electric vehicle (LHEV) is studied in this paper. Specifically, a braking control strategy for maximum energy recovery is proposed first with an objective of highest overall efficiency, and the charging powers are optimized by using sequential quadratic programming technique to obtain optimized torque working points of ISG motor. Then a simulation model for LHEV is built, a tracking control is performed over optimized torque of ISG motor with fuzzy control scheme, and a simulation is conducted on three different braking forces respectively with NEDC cycle to obtain energy recovery ratios in regenerative braking. Finally a real vehicle test corresponding to simulation conditions is carried out to verify the effectiveness of control strategy proposed.
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页码：105 / 110
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