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High-speed train automatic driving energy-saving optimization method based on maximum principle

A high-speed train and automatic driving technology, applied in data processing applications, instruments, predictions, etc., can solve problems such as poor convergence and stability of algorithms

Inactive Publication Date: 2019-11-22
XIAN UNIV OF TECH
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Problems solved by technology

[0005] The purpose of the present invention is to provide a high-speed train automatic driving energy-saving optimization method based on the principle of maximum value, which solves the problem of poor convergence and stability of the algorithm used in the existing research method

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  • High-speed train automatic driving energy-saving optimization method based on maximum principle

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Embodiment Construction

[0074] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0075] The energy-saving optimization method for automatic driving of high-speed trains based on the principle of maximum value of the present invention, such as figure 1 As shown, the specific operation process includes the following steps:

[0076] Step 1, according to the mechanical characteristics and kinematics characteristics in the running process of the high-speed train, establish the operation model of the high-speed train, thereby obtain the optimization function of the energy-saving operation of the high-speed train;

[0077] The specific process of step 1 is as follows:

[0078] The purpose of high-speed train energy-saving driving is to minimize the traction energy consumption during train operation, and the objective function is shown in formula (1):

[0079]

[0080] In the formula, E is the total energy consumption of the...

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Abstract

The invention discloses a high-speed train automatic driving energy-saving optimization method based on a maximum principle. The method comprises the steps: firstly building an operation model of a high-speed train according to the mechanical and kinematic characteristics of the high-speed train in an operation process, and obtaining an optimization function of the energy-saving operation of the high-speed train; secondly, constructing a Hamiltonian function according to the principle of the maximum value of the numerous and numerous Delisia gold, and analyzing, solving and analyzing a drivingstrategy of energy-saving operation of the high-speed train; secondly, calculating the running time of the high-speed train according to the traction characteristic curve, the kinetic equation and the driving strategy of the train; finally, the obtained time is compared with standard time, if the obtained time is larger than the standard time, the cruise time is increased properly, otherwise, theinertia time is increased until the total running time reaches the range of the standard time, an energy consumption value is output, and energy-saving automatic driving of the high-speed train is achieved. The method disclosed by the invention can achieve the purpose of energy saving optimization on the premise of ensuring accurate parking, punctuality and comfort.

Description

technical field [0001] The invention belongs to the technical field of train control, and in particular relates to an energy-saving optimization method for automatic driving of high-speed trains based on the maximum value principle. Background technique [0002] In recent years, with the growing economy of our country, rail transit has entered a new period of development. According to the public data on the official website of China Railway Corporation: In 2018, the national railway completed 563 billion yuan of infrastructure investment and 4600 new operating mileage. km, including 3,900 km of high-speed rail. By the end of 2018, the total mileage of national railways had reached 131,000 kilometers, and the operating mileage of China's high-speed rail had reached 29,000 kilometers, exceeding two-thirds of the total mileage of high-speed rail in the world. most complicated country. The national railways completed 3.37 billion passengers, an increase of 290 million or 9.4% ...

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/06G06Q50/30
CPCG06Q10/04G06Q10/067G06Q50/40
Inventor 马维纲陈玄娜谢国黑新宏张炯贾乔
Owner XIAN UNIV OF TECH
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