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 :
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