Automobile low-speed warning tone implementation system

Abstract

The invention discloses an automobile low-speed warning tone implementation system which comprises a front end and a rear end, the front end comprises a vehicle state acquisition unit, a digital-to-analog conversion and power amplification unit and a plurality of processing units, and the rear end comprises an AVAS output module, a PWM-AVAS module and a loudspeaker system which share an in-vehicle analog audio channel. The front-end processing unit is further provided with a low-speed prompt tone personalized processing module which is used for tracking and analyzing the real-time state of a vehicle and the driving habit of a user, recognizing and generating the state of the vehicle and the driving style of the user, selecting an associated sound feature database and displaying the sound feature database. Through real-time matching of parameters such as a key state of a vehicle and a specific driving style of a user, a low-speed prompt sound associated with the key state is generated and is output by a rear end. According to the system, at least two processing units cooperatively execute a low-speed warning tone (AVAS) program instruction, low-speed warning tone output is achieved in the mode that an in-vehicle analog audio channel is shared and an independent PWM transmission channel is used in a combined mode, and the low-speed warning tone function is achieved at low cost under the condition that an existing audio output channel of a vehicle is not added. And the generated sound can be changed and matched along with the change of the vehicle state and the driving style of the user, so that information is effectively transmitted to other road users, and the sound perception in the driving process is enhanced or changed.

Description

technical field [0001] The invention belongs to the technical field of automobile engineering, and mainly relates to the realization technology of automobile low-speed prompting sound. Background technique [0002] With the advancement of vehicle vibration and noise reduction technology and the development of new energy vehicles such as electric vehicles and hybrid vehicles, the overall noise outside and inside the vehicle has been significantly reduced, especially for new energy vehicles such as electric vehicles. The significantly reduced external noise makes the car relatively difficult to be noticed and discovered by other traffic participants, especially pedestrians, in road traffic, which increases safety risks. "Requirements", various countries have formulated regulations and standards for electric vehicles (including hybrid vehicles with pure electric driving mode) low-speed alerting sound (Acoustic Vehicle Alerting System, AVAS), that is, by adding a car alerting sy...

AI Technical Summary

Problems solved by technology

[0006] In addition, the sound design of the existing low-speed prompt tone cannot make adaptive adjustments to environmental characteristics such as road conditions, traffic flow, and behavior of traffic participants, as well as user characteristic information such as user driving habits, driving style, mood, and micro-expression recognition.

For example, when the vehicle is driving under real-time traffic conditions such as different traffic flow, road sections, road conditions, etc., such as when driving to an area where there are many other traffic participants such as schools during school hours, the AVAS system will emit a sound feature, Such as frequency, sound pressure level, etc. cannot be automatically adjusted

Different users have different expectations for the characteristics and tendencies of the AVAS low-speed beep sound under different driving psychological needs. The current low-speed beep system sound characteristics, such as frequency, sound pressure level, and opening status, cannot be automatically adapted Sexual adjustments and optimizations

The sound style or characteristics of the low-speed prompt tone are relatively limited, and cannot be updated online or in a timely manner, etc.

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