Simulation of hybrid electric vehicle control strategy based on compensation fuzzy neural network

Author

Chen, Huiyong ; Wu, Guangqiang ; Luo, Lang ; Tan, Wenguang

Author_Institution

Dept. of Automobile, Tongji Univ., Shanghai

fYear

2008

fDate

25-27 June 2008

Firstpage

8697

Lastpage

8701

Abstract

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.

Keywords

compensation; electric vehicles; fuzzy control; fuzzy set theory; neurocontrollers; Shanghai Volkswagken company; compensation fuzzy neural network; electric-assisted control strategy; fuzzy logic control strategy; fuzzy sets; hybrid electric vehicle control strategy; power control strategy; Analytical models; Automobiles; Design automation; Fuzzy control; Fuzzy logic; Fuzzy neural networks; Fuzzy sets; Hybrid electric vehicles; Intelligent control; Power control; CFNN; Fuzzy control; HEV; energy management strategy;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on

Conference_Location

Chongqing

Print_ISBN

978-1-4244-2113-8

Electronic_ISBN

978-1-4244-2114-5

Type

conf

DOI

10.1109/WCICA.2008.4594299

Filename

4594299