Optimum Design of a Regenerative Braking System for Electric Vehicles Based on Fuzzy Control Strategy

被引：12

作者：

Cao, Xihang ^{[1
]}

Ishikawa, Takeo ^{[1
]}

机构：

[1] Gunma Univ, Div Elect & Informat, 1-5-1 Tenjin Cho, Kiryu, Gunma 3768515, Japan

来源：

IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING | 2016年 / 11卷

关键词：

fuzzy control; regenerative braking system; electric vehicle; Taguchi method;

D O I：

10.1002/tee.22254

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A regenerative braking system (RBS) can prolong the driving distance of electric vehicles by converting mechanical energy into electric energy. In this paper, an RBS based on fuzzy control strategy is proposed. By analyzing the characteristics of all factors, under the assurance of safety and stability during braking conditions, a fuzzy control model was established in the MATLAB/SIMULINK environment and verified by using simulation software Advisor2002. In order to recover more energy, the control model was optimized by the Taguchi method, and a new fuzzy control model was established and simulated. The simulation results show that by using the optimized fuzzy control system, more braking energy can be recovered and that the energy recovery efficiency can be increased. (C) 2016 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.

引用

页码：S186 / S187

页数：2

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