Abstract

In order to explore the relationship between speed and energy consumption of high-speed train, comprehensively understand the train energy consumption and determine the reasonable operating speed, the energy consumption automatic identification detection system of high-speed train is designed, a data collection method on high-speed train energy consumption is developed. Furthermore, the running data for a Passenger Dedicated train is collected along with the high-speed railway joint debugging and testing. By means of the Self-organization Data Mining, the mathematical model to describe the relationship among energy consumption, running speed and distance is constructed. The running parameters of different distance from the starting point of the high-seep train are analyzed using the mathematical model, and the optimizing driving speed of the low energy consumption is obtained when the high-speed train is at different operating points. The present work provides a common method for analyzing the relationship between speed and energy consumption of the train, and also offers an approach for optimizing the driving strategy of high-speed train.

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