DocumentCode :
569103
Title :
Braking Process Modeling and Simulation of CRH2 Electric Multiple Unit
Author :
Yang, Hui ; Yan, Jin ; Zhang, Kunpeng
Author_Institution :
Sch. of Electr. & Electron. Eng., East China Jiaotong Univ., Nanchang, China
fYear :
2012
fDate :
July 31 2012-Aug. 2 2012
Firstpage :
264
Lastpage :
267
Abstract :
Train braking process was greatly affected by factors such as environment, line condition and train driver operation proficiency. How to establish train braking process model and determine the effective braking control strategy is the foundation of achieving the safe and reliable operation of the train. By taking the CRH2 -300 Electric Multiple Unit(EMU) as an example, based on the train braking process operation characteristics and brake deceleration mode curve, multiple models description method for its braking process have been developed with the data-driven modeling. And the efficiency of model is verified with China train control system level 3(CTCS-3). Simulation results show the established braking process model is suitable not only for the common brake but also has high tracking accuracy for the emergency brake. Furthermore, the model is satisfied with requirement of emergency braking distance that should less than 3700m as well as reduces the energy consumption.
Keywords :
braking; electric locomotives; energy consumption; railway accidents; railway safety; reliability; CRH2-300 EMU; CRH2-300 Electric Multiple Unit; China train control system level 3; brake deceleration mode curve; braking control strategy; braking process simulation; data-driven modeling; emergency braking distance; energy consumption reduction; multiple models description method; tracking accuracy; train braking process model; train operational reliability; train operational safety; Analytical models; Atmospheric modeling; Data models; Force; Mathematical model; Rail transportation; Resistance; Brake Model; CRH-300 EMU; Characteristic Curve; data-driven;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital Manufacturing and Automation (ICDMA), 2012 Third International Conference on
Conference_Location :
GuiLin
Print_ISBN :
978-1-4673-2217-1
Type :
conf
DOI :
10.1109/ICDMA.2012.64
Filename :
6298304
Link To Document :
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