DocumentCode
2180811
Title
Driving Intention Intelligent Identification Method for Hybrid Vehicles Based on Fuzzy Logic Inference
Author
Xianzhi, Tang ; Qingnian, Wang
Author_Institution
State Key Lab. of Automobile Dynamic Simulation, Jilin Univ., Jilin, China
Volume
1
fYear
2010
fDate
29-31 Oct. 2010
Firstpage
16
Lastpage
19
Abstract
This paper presents a driving intention intelligent identification method for hybrid vehicles based on fuzzy inference. In this paper, a fuzzy logic inference system is developed to identify driving intention. The membership functions and rules of fuzzy logic inference system are built for intention identification and the simulation is done in different driving conditions. The simulation results show that the fuzzy logic inference system can identify driving intention accurately.
Keywords
fuzzy logic; fuzzy reasoning; fuzzy set theory; hybrid electric vehicles; identification; power engineering computing; driving intention intelligent identification method; fuzzy logic inference; hybrid vehicles; Acceleration; Driver circuits; Fuzzy logic; Fuzzy sets; Hybrid electric vehicles; Pragmatics; driving intention; fuzzy inference; hybrid vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Design (ISCID), 2010 International Symposium on
Conference_Location
Hangzhou
Print_ISBN
978-1-4244-8094-4
Type
conf
DOI
10.1109/ISCID.2010.11
Filename
5692652
Link To Document