Bogie suspension parameter optimization matching method

Abstract

The invention provides a bogie suspension parameter optimization matching method, and relates to the technical field of suspension parameter optimization design of rolling stock. The method comprisesthe following steps of establishing a vehicle dynamics simulation model; carrying out suspension parameter matching optimization analysis; determining an input variable required by the model, a valuerange of the input variable, an output evaluation index and threshold setting of the output evaluation index; establishing a joint simulation module for vehicle dynamics model simulation and MATLAB, conducting characteristic value simulation calculation on a vehicle dynamics model according to an optimization target, and extracting an optimization target value obtained through simulation of the vehicle dynamics model through a joint simulation interface; acquiring a required suspension parameter set from a large number of random parameters in a layer-by-layer screening manner; and finally, processing the optimization result data by adopting a discrete statistical method, mining a matching relationship among the suspension parameters by combining a three-dimensional histogram, and selectingparameter specific values of suspension parameter matching combinations meeting requirements and corresponding optimization target values according to actual requirements.

Description

technical field

[0001] The invention relates to the technical field of optimization design of suspension parameters of rolling stock. Background technique

[0002] The stability of lateral snaking motion is one of the most concerned issues in the design of wheel-rail train bogies. The primary and secondary suspensions of the bogies, especially the suspension parameters in the horizontal direction, play an important role in improving the lateral stability of the train bogie and taking into account other performances of the train. to the key role. Reasonable suspension parameter matching is conducive to improving the lateral stability of the train and resisting the influence of suspension parameters and wheel-rail contact parameters on system stability (called system robustness). Therefore, the research on the optimization of bogie suspension parameter matching is very important for train design.

[0003] For complex train suspension systems, except for the secondary horizon...

Examples

Embodiment Construction

[0032] The present invention will be further described below in conjunction with accompanying drawing:

[0033] Step 1. Carry out optimization analysis of suspension parameters according to the vehicle dynamics model, determine the input variables and their value ranges required by the model, output evaluation indicators and their threshold settings. The threshold settings are shown in Table 1. Through the SIMPACK script language, the vehicle Dynamic model simulation and MATLAB establish a joint simulation module, and obtain N groups of random parameters uniformly for input variables through MATLAB, and N is 50000;

[0034] Table 1 Threshold settings for four optimization objectives

[0035]

[0036] Step 2. Assign the called random parameters to the vehicle dynamics model, and conduct a low taper stability simulation on the model at a speed of 200km / h, and extract the stability index ζ through the joint simulation interface of SIMPACK and MATLAB low ;

[0037] Step 3. Ju...

technical field

[0001] The invention relates to the technical field of optimization design of suspension parameters of rolling stock. Background technique

[0002] The stability of lateral snaking motion is one of the most concerned issues in the design of wheel-rail train bogies. The primary and secondary suspensions of the bogies, especially the suspension parameters in the horizontal direction, play an important role in improving the lateral stability of the train bogie and taking into account other performances of the train. to the key role. Reasonable suspension parameter matching is conducive to improving the lateral stability of the train and resisting the influence of suspension parameters and wheel-rail contact parameters on system stability (called system robustness). Therefore, the research on the optimization of bogie suspension parameter matching is very important for train design.

[0003] For complex train suspension systems, except for the secondary horizon...

Examples

Embodiment Construction

[0032] The present invention will be further described below in conjunction with accompanying drawing:

[0033] Step 1. Carry out optimization analysis of suspension parameters according to the vehicle dynamics model, determine the input variables and their value ranges required by the model, output evaluation indicators and their threshold settings. The threshold settings are shown in Table 1. Through the SIMPACK script language, the vehicle Dynamic model simulation and MATLAB establish a joint simulation module, and obtain N groups of random parameters uniformly for input variables through MATLAB, and N is 50000;

[0034] Table 1 Threshold settings for four optimization objectives

[0035]

[0036] Step 2. Assign the called random parameters to the vehicle dynamics model, and conduct a low taper stability simulation on the model at a speed of 200km / h, and extract the stability index ζ through the joint simulation interface of SIMPACK and MATLAB low ;

[0037] Step 3. Ju...

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