Dynamics simulation optimization method and device of heavy haul train

A dynamic simulation and optimization method technology, applied in design optimization/simulation, special data processing applications, instruments, etc., can solve the problems of complex modeling process, difficult data processing, difficult real-time and data synchronization, etc. The effect of reducing the number of calculations, realizing real-time and data synchronization, and reducing the difficulty of data processing

Active Publication Date: 2016-09-28
ZHUZHOU ELECTRIC LOCOMOTIVE CO
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  • Description
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Problems solved by technology

[0003] The dynamics problem of long trains is a relatively complex system dynamics problem. The existing domestic vehicle dynamics simulation systems, such as SIMPACK and other simulation systems, can establish accurate vehicle dynamics models, but the modeling process is c

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  • Dynamics simulation optimization method and device of heavy haul train
  • Dynamics simulation optimization method and device of heavy haul train
  • Dynamics simulation optimization method and device of heavy haul train

Examples

Experimental program
Comparison scheme
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Example Embodiment

[0050] Embodiment one

[0051] see figure 1 , figure 1It is a flow chart of a long train dynamics simulation optimization method disclosed in Embodiment 1 of the present invention. The method is applied to a long train dynamics simulation system, and the method includes the following steps:

[0052] Step S11: Obtain the number of calculations required within the time of the simulation step in the simulation; the number of calculations required within the time of the simulation step is the number of traction calculations used for each simulation, and the power used for each simulation. The product of braking calculation times, running resistance calculation times for each simulation, air braking force calculation times for each simulation, coupler force calculation times for each simulation and additional resistance calculation times for each simulation;

[0053] Specifically, the long train dynamics simulation system inputs the running resistance parameters of the long train...

Example Embodiment

[0063] Embodiment two

[0064] Based on the above-mentioned a kind of long train dynamics simulation optimization method disclosed in Embodiment 1 of the present invention, such as figure 1 The number of calculations of the optimized air braking force in the number of calculations of the optimized air braking force S13 is shown, and its specific execution process is as follows: figure 2 , mainly including the following steps:

[0065] Step S21: increase the value of the simulation step size to reduce the calculation times of the air braking force used for each simulation;

[0066] Specifically, the initial value of the simulation step size can be set to 0.002 seconds, 1s=1000ms, that is to say, a calculation is performed every 5ms, and the value of the simulation step is increased, that is, the calculation is performed within 1s. The time can reduce the difficulty of data processing when the computer runs the simulation system.

[0067] Step S22: Obtain the current speed o...

Example Embodiment

[0090] Embodiment Three

[0091] see image 3 , image 3 It is a flow chart of a long train dynamics simulation optimization method disclosed in Embodiment 3 of the present invention, and the method includes:

[0092] Step S31: Obtain the number of calculations required within the time of the simulation step in the simulation; the number of calculations required within the time of the simulation step is the number of traction calculations used for each simulation, and the power used for each simulation. The product of braking calculation times, running resistance calculation times for each simulation, air braking force calculation times for each simulation, coupler force calculation times for each simulation and additional resistance calculation times for each simulation;

[0093]Specifically, the long train dynamics simulation system inputs the running resistance parameters of the long train, the traction-braking curve parameters of the long train, the coupler slowdown mode...

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Abstract

The invention provides a dynamics simulation optimization method and device of a heavy haul train, and is applied to a dynamics simulation system of the heavy haul train. The method comprises the following steps: obtaining calculation frequencies required within simulation step size time in simulation; judging whether the calculation frequencies required within the simulation step size time are greater than a preset operation frequency upper limit for operating the computer of the simulation system or not; and if the calculation frequencies required within the simulation step size time are greater than the preset operation frequency upper limit for operating the computer of the simulation system, optimizing the calculation frequencies of air braking force to cause an optimization result to meet a requirement that the calculation frequencies required within the simulation step size time is smaller than the operation frequency upper limit of the computer. On the basis of the method, the calculation frequencies of air braking force are optimized to lower data processing difficulty and realize the instantaneity and the data synchronization of the dynamics simulation calculation of the heavy haul train.

Description

technical field [0001] The invention relates to the field of rail vehicle dynamics simulation, in particular to a dynamics simulation optimization method and device for long and large trains. Background technique [0002] With the popularity of rail vehicles such as subways, light rails, trams and maglev trains, the safety of rail vehicles has been paid more and more attention by people. Real-time simulation of long train dynamics is the most effective method for safety monitoring of rail vehicles. [0003] The dynamics problem of long trains is a relatively complex system dynamics problem. The existing domestic vehicle dynamics simulation systems, such as SIMPACK and other simulation systems, can establish accurate vehicle dynamics models, but the modeling process is complicated and data processing is difficult. Large, the performance requirements of the computer running the simulation system are very high, which makes it difficult to realize the real-time and data synchro...

Claims

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Application Information

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IPC IPC(8): G06F17/50
CPCG06F30/20
Inventor 罗显光毛业军汤诚陈建林杜求茂王先锋
Owner ZHUZHOU ELECTRIC LOCOMOTIVE CO
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