Simulation of Hybrid Electric Vehicle Control Strategy Based on Compensation Fuzzy Neural Network

被引：2

作者：

Chen, Huiyong ^{[1
]}

Wu, Guangqiang ^{[1
]}

Lu, Lang ^{[2
]}

Tan, Wenguang ^{[2
]}

机构：

[1] Tongji Univ, Dept Automobile, Shanghai 201804, Peoples R China

[2] Shanghai Int Sci & Technol Co Ltd, Shanghai 201708, Peoples R China

来源：

2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23 | 2008年

关键词：

HEV; energy management strategy; Fuzzy control; CFNN;

D O I：

10.1109/WCICA.2008.4594299

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A power control strategy of compensation fuzzy neural network (CFNN) is put forward based on the design requirement of a hybrid electric vehicle (HEV) of Shanghai Volkswagken company, the influence of sample data selecting, fuzzy sets for input and output and the determination of fuzzy rules is analyzed. By using the ADVISOR2002, the comparison between the CFNN control strategy, the electric-assisted control strategy and the fuzzy logic control strategy are conducted. The simulation results show that the CFNN controller has good self-adaptive ability, and can improve fuel economy and emission.

引用

页码：8697 / +

页数：2