DocumentCode :
2538123
Title :
Study on two-layered evaluation methods for vehicle running state based on fuzzy theory
Author :
Yong, Shen ; Jun, Huang ; Zhu, Fang ; Xu, Yang
Author_Institution :
Sch. of Automotive Studies, Tongji Univ., Shanghai, China
fYear :
2009
fDate :
3-5 June 2009
Firstpage :
1232
Lastpage :
1235
Abstract :
To the fuel cell vehicles in the commissioning process, it is necessary to know their real-time operation status so as to avoid potential safety hazard caused by any internal malfunction. A suitable evaluation function model is established on the basis of analyzing the fuzzy theory. Through two layers´ data fusion analysis of the running parameters of the vehicle, the running state of the system is evaluated and expressed in form of state index.
Keywords :
fuel cell vehicles; fuzzy set theory; real-time systems; sensor fusion; commissioning process; data fusion analysis; evaluation function model; fuel cell vehicles; fuzzy theory; internal malfunction; real-time operation status; safety hazard; state index; vehicle running state; Assembly systems; Automotive engineering; Battery management systems; Control systems; Energy management; Hydrogen; Management training; State estimation; Vehicle driving; Vehicle safety; Fuzzy Theory; State Index; Two-layered Evaluation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Vehicles Symposium, 2009 IEEE
Conference_Location :
Xi´an
ISSN :
1931-0587
Print_ISBN :
978-1-4244-3503-6
Electronic_ISBN :
1931-0587
Type :
conf
DOI :
10.1109/IVS.2009.5164458
Filename :
5164458
Link To Document :
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