Electrically-driven howling noise analysis method and device, storage medium and equipment

By obtaining and fitting subjective and objective data related to the electric drive whistling noise in the vehicle, a subjective and objective correlation model is established, which solves the problem of inaccurate evaluation of the electric drive whistling noise and improves development efficiency.

CN119862656APending Publication Date: 2025-04-22GAC AION NEW ENERGY AUTOMOBILE CO LTD
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Patent Information

Application Number
CN202411938511.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-26
Publication Date
2025-04-22

AI Technical Summary

Technical Problem

In the prior art, the evaluation method of electric drive whistling noise has problems that the evaluation results are not accurate enough, which can easily affect development efficiency.

Method used

By obtaining the noise data of the in-vehicle electric drive under the target operating conditions, obtaining subjective evaluation data and objective data influence parameters, performing fitting correlation, and obtaining a subjective and objective correlation model, and based on this model, the noise compliance status of the target electric drive system design data is judged.

Benefits of technology

It effectively improves the accuracy of the evaluation results of the electric drive whistling noise, provides guidance for the positive design of electric drive system products, and thus improves development efficiency.

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Abstract

The invention provides an electric-driven squeal noise analysis method and device, a storage medium and equipment, and the method comprises the steps: obtaining subjective evaluation data and objective data influence parameters according to the in-vehicle electric-driven squeal noise data under a target working condition, carrying out the fitting correlation of the subjective evaluation data and objective data influence parameters, and carrying out the analysis of the subjective evaluation data and objective data influence parameters. A subjective and objective correlation model used for representing an approximate function relationship between subjective evaluation data and objective data influence parameters is obtained, and then based on the subjective and objective correlation model, whether target electric drive system design data reach the standard in the aspect of electric drive howling noise is judged, so that scheme design of the electric drive system is guided. Therefore, the subjective sound quality evaluation and the objective sound quality analysis of the in-vehicle electric drive howling noise are associated, the accuracy of the evaluation result of the electric drive howling noise is effectively improved, and guidance is provided for the forward design of an electric drive system product, so that the development efficiency is improved.
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