Multi-mode in-car sound quality optimization system based on order optimization

Abstract

The invention discloses a multi-mode in-car sound quality optimization system based on order optimization. The multi-mode in-car sound quality optimization system based on order optimization comprisesa sound acquisition device, a sound quality mode selection device, a residual coefficient determination device, an engine speed sensor, an order control device and a secondary sound source output device. The sound acquisition device inputs an acquired original noise signal to the residual coefficient determination device to determine a residual coefficient of the order control device, the enginespeed sensor is connected with the order control device, the engine speed sensor acquires a current engine speed signal n, and an engine noise signal is obtained according to the control order corresponding to a sound quality mode output by the engine current speed signal n and the sound quality mode selection device. A final output signal is obtained by combining the residual coefficient theta output by the residual coefficient determination device, and the final output signal passes through the secondary sound source output device, so that the personalized optimization design of in-car soundquality is realized, the in-car sound quality is optimized, and the driving and riding experience of a driver is improved.

Description

technical field [0001] The invention belongs to the field of automobile vibration and noise, in particular to a multi-mode interior sound quality optimization system based on order optimization. Background technique [0002] Studies have shown that the noise inside the car mainly comes from the noise of the engine when the car is running at medium and low speeds. The frequencies mainly occur at the order frequencies. [0003] Sound quality reflects people's subjective perception of sound. So far, researchers have successively proposed psychoacoustic parameters that affect sound quality, including loudness, sharpness, roughness, and jitter. [0004] The sound quality evaluation model illustrates the relationship between human hearing experience and sound quality objective parameters. At present, most of the sound quality evaluation models are established by establishing the linear relationship between the sound quality annoyance score and the sound quality objective paramete...

AI Technical Summary

Problems solved by technology

[0006] The traditional active noise control system (ANC) is mainly to control the sound pressure level of the noise, but the sound pressure level cannot be controlled to not necessarily improve the hearing experience of the human ear, and it is impossible to effectively control the various frequency bands of the noise

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