DocumentCode :
3829
Title :
Minimal-Energy Driving Strategy for High-Speed Electric Train With Hybrid System Model
Author :
Liang Li ; Wei Dong ; Yindong Ji ; Zengke Zhang ; Lang Tong
Author_Institution :
Dept. of Autom., Tsinghua Univ., Beijing, China
Volume :
14
Issue :
4
fYear :
2013
fDate :
Dec. 2013
Firstpage :
1642
Lastpage :
1653
Abstract :
This paper studies a minimal-energy driving strategy for high-speed electric trains with a fixed travel time. A hybrid system model is proposed to describe the new characteristics of high-speed electric trains, including the extended speed range, energy efficiency, and regenerative braking. Based on this model, train driving is characterized by the gear sequence and the switching locations. An approximate gradient information is derived via the variational principle. To avoid a combinatorial explosion, the gear sequence is fixed by a priori knowledge. Then, a gradient-based exterior point method is proposed to calculate the optimal driving. In the case study, the minimal-energy driving with a fixed travel time for CRH-3 is investigated, and the result reveals some new understandings for high-speed electric train drive. Additionally, the tradeoff relationship between energy consumption and travel time is quantitatively studied, which is helpful in assigning an appropriate travel time for high-speed trains.
Keywords :
braking; energy conservation; gradient methods; light rail systems; variational techniques; combinatorial explosion; energy efficiency; fixed travel time; gear sequence; gradient based exterior point method; gradient information; high speed electric train drive; high speed electric trains; hybrid system model; minimal energy driving strategy; optimal driving; regenerative braking; switching locations; train driving; variational principle; Cost function; Energy consumption; Energy efficiency; Rail transportation; Railway electrification; Energy efficiency; high-speed electric tain; hybrid system model; marginal power; minimal-energy driving;
fLanguage :
English
Journal_Title :
Intelligent Transportation Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
1524-9050
Type :
jour
DOI :
10.1109/TITS.2013.2265395
Filename :
6544639
Link To Document :
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