DocumentCode :
3114706
Title :
Study on the design method of time-variant driving cycles for EV based on Markov Process
Author :
Liu Li ; Huang Chaosheng ; Lu Bingwu ; Shi Shuming ; Zhang Yan ; Cheng Jingmin
Author_Institution :
China FAW Group Corp. R&D Center, China
fYear :
2012
fDate :
9-12 Oct. 2012
Firstpage :
1277
Lastpage :
1281
Abstract :
Vehicle driving cycles have great effect on the energy consumption. Due to the battery capability of EV and in order to reduce the energy consumption of EV, the study of planning the most energy-saving driving route for EV before its trip will be a prospective and guiding work. It is the obtaining time-variant driving cycles that be the basis of this work. The Markov Process based on stochastic process and probability theory is a new method, which is used to design the time-variant driving cycles in this paper. It is conclude from the design results that the driving cycles are different from each other during both free flow time and peak time and the results is more closed to the real driving cycles.
Keywords :
Markov processes; battery powered vehicles; energy conservation; power consumption; vehicle routing; EV battery capability; Markov process; Vehicle driving cycles; energy consumption; energy saving driving route planning; free flow time; peak time; probability theory; stochastic process; time-variant driving cycle design method; Databases; Hidden Markov models; Markov processes; Driving Cycles; Markov Process; Time-variant; Transition Probability Matrix;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Vehicle Power and Propulsion Conference (VPPC), 2012 IEEE
Conference_Location :
Seoul
Print_ISBN :
978-1-4673-0953-0
Type :
conf
DOI :
10.1109/VPPC.2012.6422709
Filename :
6422709
Link To Document :
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