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Two-stage serial connection type ISD suspension frame parameter optimizing method

A technology of suspension parameters and optimization methods, applied in suspension, elastic suspension, electrical digital data processing, etc., can solve the problems of weak local search ability and complex implementation, and achieve the effect of improving suspension performance and increasing calculation efficiency

Active Publication Date: 2014-02-19
JIANGSU UNIV
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Problems solved by technology

At present, genetic algorithm is mostly used for suspension parameter optimization, but genetic algorithm often shows weak local search ability, and needs to be coded and decoded through binary, which is more complicated to realize

Method used

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  • Two-stage serial connection type ISD suspension frame parameter optimizing method
  • Two-stage serial connection type ISD suspension frame parameter optimizing method
  • Two-stage serial connection type ISD suspension frame parameter optimizing method

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Embodiment Construction

[0029] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0030] The two-stage serial ISD suspension parameter optimization method of the present invention, the overall process is as follows figure 1 As shown, it specifically includes the following steps:

[0031] (1) Establish a five-degree-of-freedom mathematical model of a two-stage serial ISD suspension half-car.

[0032] The five-degree-of-freedom model of the two-stage tandem ISD suspension semi-car is as follows: figure 2 As shown, the two-stage serial ISD suspension semi-vehicle five-degree-of-freedom mathematical model includes ISD front suspension, ISD rear suspension and seat suspension, and the seat suspension includes driver mass model 1, seat suspension spring 2 and seat suspension damper 3; the ISD front suspension and rear suspension are two-stage series, and the first stage of the ISD front suspension includes the ISD front suspens...

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Abstract

The invention provides a two-stage serial connection type ISD suspension frame parameter optimizing method which includes: building a non-linear two-stage serial connection type ISD suspension frame half-vehicle five freedom degree model containing an inerter; analyzing suspension frame parameter sensitivity according to the degree of influence of each parameter variation on the seat vertical weight acceleration root-mean-square value; using the suspension frame parameters with high sensitivities as the system optimizing variables, and aiming to lower the seat vertical weight acceleration root-mean-square value while vehicle driving safety is guaranteed and suspension frame strike limit probability is controlled; using a particle swarm optimization algorithm to optimize the multi-target optimization model so as to obtain the optimal value of each optimizing variable. The method has the advantages that in order to achieve two-stage serial connection type ISD suspension frame multi-target multi-parameter optimization, system optimizing variables are obtained through suspension frame parameter sensitivity analyzing, then the particle swarm optimization algorithm is used to optimize suspension frame parameters, suspension frame performance is improved, calculation efficiency is optimized, and optimization calculation time is lowered.

Description

technical field [0001] The invention relates to a vehicle suspension parameter optimization method, in particular to a two-stage serial ISD suspension, and adopts a particle swarm optimization algorithm to optimize the suspension parameters. Background technique [0002] Suspension is one of the important assemblies of the vehicle chassis system, and its performance directly affects the ride comfort and stability of the vehicle during driving. Because the parameters of traditional passive suspension cannot be adjusted automatically, it is difficult to achieve the best performance. In recent years, although active and semi-active suspensions that have developed rapidly can achieve suspension parameter control, their large-scale application is still difficult to achieve due to problems such as high cost, high energy consumption, and control time lag. How to break through the performance bottleneck of traditional passive suspension and improve the performance of passive suspen...

Claims

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Application Information

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IPC IPC(8): G06F17/50G06N3/00B60G15/00
Inventor 孙晓强陈龙汪少华张孝良
Owner JIANGSU UNIV
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