Automobile high-frequency noise prediction method based on correlation interval uncertainty theory

Abstract

The invention discloses an automobile high-frequency noise prediction method based on a correlation interval uncertainty theory. The method comprises the following steps: selecting geometric and material parameters with poor consistency in engineering as interval uncertain parameters on the basis of establishing a whole vehicle statistical energy model and carrying out acoustic package definitionand model benchmarking, and describing a relation between the uncertain parameters through a linear constraint inequation; calculating the local sensitivity of the noise in the vehicle to each uncertain parameter, reordering the uncertain parameters according to the magnitude of the sensitivity, and substituting the sensitivity into an inequality equation to obtain an ordered uncertain parameter vector and an uncertain parameter correction perturbation interval; and carrying out first-order Taylor series expansion on the noise in the vehicle and bringing the noise into an uncertain parameter center value and a correction perturbation interval to obtain a distribution boundary of the high-frequency noise in the vehicle. The correlation interval uncertainty theory is put forward for the first time, the relation between uncertain parameters is described through the linear inequation, and the method has important value in science and engineering.

Description

technical field [0001] The invention relates to the field of automobile NVH (noise, vibration and harshness) performance development, in particular to an automobile high-frequency noise prediction method based on correlation interval uncertainty theory. Background technique [0002] With the advancement of science and technology and the improvement of consumption level, users have more and more stringent requirements on the NVH performance of automobiles. Automobile NVH performance has become one of the important indicators to distinguish automobile quality, and its quality directly affects the user's evaluation of automobile performance. Therefore, effective analysis and prediction of interior noise in the process of automobile design has become a necessary step in the process of automobile design and development, which can effectively shorten the automobile development cycle, save development costs, and improve the NVH level of automobiles. [0003] Car noise can be divid...

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Problems solved by technology

[0006] The invention proposes an automobile high-frequency noise prediction method based on the correlation interval uncertainty theory, which proposes the correlation interval uncertainty theory, solves the problem of describing the relationship between uncertain parameters, and proposes an Theoretical automotive high-frequency noise prediction method, in the field of automotive high-frequency noise prediction under uncertain conditions, considers the relationship between uncertain parameters for the first time

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