Regenerative braking algorithm for an ISG HEV based on regenerative torque optimization

被引：5
|
作者：
Xiao W.-Y. [1 ]
Wang F. [1 ]
Zhuo B. [1 ]
机构：
[1] Institute of Auto Electronic Technology, School of Mechanical Engineering, Shanghai Jiaotong University
来源：
Journal of Shanghai Jiaotong University (Science) | 2008年 / 13 E卷 / 02期
关键词：
Emulate engine compression braking; Hybrid electric vehicle; Regenerative braking; Regenerative torque optimization;
D O I：
10.1007/s12204-008-0193-6
中图分类号：
学科分类号：
摘要：
A novel regenerative braking algorithm based on regenerative torque optimization with emulate engine compression braking (EECB) was proposed to make effective and maximum use of brake energy in order to improve fuel economy. The actual brake oil pressure of driving wheel which is reduced by the amount of the regenerative braking force is supplied from the electronic hydraulic brake system. Regenerative torque optimization maximizes the actual regenerative power recuperation by energy storage component, and EECB is a useful extended type of regenerative braking. The simulation results show that actual regenerative power recuperation for the novel regenerative braking algorithm is more than using conventional one, and life-span of brake disks is prolonged for the novel algorithm.
引用
收藏
页码：193 / 200
页数：7
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