Motor noise source identification method and system based on sound quality contribution coefficient

Abstract

The invention provides a motor noise source identification method and system based on a sound quality contribution coefficient. The motor noise source identification system comprises a noise signal acquisition module, a sound quality prediction module and a sound quality contribution identification module. The noise signal acquisition module is used for acquiring a motor body noise sample and an in-vehicle ear-side noise sample. The sound quality prediction module performs subjective evaluation and psychoacoustic objective parameter calculation on the noise sample beside the ear in the vehicle, performs correlation analysis on the subjective evaluation and psychoacoustic objective parameter calculation, and establishes a GA-BP neural network sound quality prediction model. The sound quality contribution identification module performs modal decomposition and blind source separation on a motor body noise sample, obtains a plurality of independent noise signal components, obtains a plurality of independent noise signal components, and respectively calculates psychoacoustic objective parameters of each independent noise signal component, substitutes the parameters into the sound quality prediction model to obtain the sound quality of different noise signal components, then calculates the sound quality contribution coefficient of each noise signal component, and determines the soundquality contribution of different types of noise of the motor. According to the method, the motor noise is decomposed into a plurality of independent noise sources, and the sound quality contributioncoefficient is used as an evaluation index, so that the subjective feeling of human ears on the motor noise is reflected, and the main noise source of the motor is accurately and efficiently judged.

Description

technical field [0001] The invention belongs to the technical field of new energy vehicles, and in particular relates to a motor noise source identification method and system for new energy vehicles based on a sound quality contribution coefficient. Background technique [0002] With the continuous improvement of people's living standards, people's requirements for the NVH performance of automobiles are also getting higher and higher. At the same time, with the decrease of non-renewable energy sources, the whole world is aware of the energy crisis, and the development of clean energy vehicles has become a broad consensus of the international community. Many countries around the world are making continuous efforts to seize the share of this emerging market. Each country regards clean energy vehicles as an important strategy for the development of the new era to improve the country's technological level in the development of clean energy vehicles, and to achieve breakthroughs ...

AI Technical Summary

Problems solved by technology

However, for the NVH performance of the car, the engine is replaced by the motor. Although the NVH performance of the car is improved to a certain extent, the motor also brings new vibration and noise problems to the car. For example, the high-frequency noise of the motor is more obvious, and at the same time , the motor is directly connected to the transmission to form an integrated powertrain, and the resulting vibration and noise performance is also different from that of traditional cars

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