Electric vehicle pedestrian warning sound design method and warning sound control system and method thereof

Abstract

The invention discloses an electric vehicle pedestrian warning sound design method. For people's different reactions to sounds of different frequency bands, a lot of sound samples are designed, a BP neural network prediction model optimized through a genetic algorithm is established by using sound quality objective psychoacoustic parameters and subjective evaluation results, the model can provide guidance for screening subsequent sound samples, the screening process of the sounds is simplified, and the cost is saved. According to the actual operation condition of a vehicle, a multi-condition intelligent control system is established, thus electric vehicle / hybrid electric vehicle can intelligently select suitable sounds and emit the sounds in different operation conditions, the magnification times of a gain circuit is intelligently selected according to the background noise volumes, and thus the emitted warning sound can reasonably warn pedestrians and do not cause the noise pollution of an environment. The invention also discloses an electric vehicle or hybrid electric vehicle pedestrian warning sound design method and a warning sound control system and a control method thereof.

Description

technical field [0001] The invention belongs to the field of automobile safety, and relates to an automatic sounding system used to warn pedestrians outside the vehicle when an electric car is running at a low speed, and in particular to a design method for pedestrian warning sounds of electric cars, a warning sound control system and a control method. Background technique [0002] Due to the consumption of fossil fuels and the increase in fuel prices, the development of the automotive industry has focused on new energy vehicles. A recent survey report by the National Highway Traffic Safety Administration in the United States showed that accidents in which electric vehicles and conventional vehicles hit pedestrians or other road users such as bicycles mainly occurred in low-speed areas of the road. A comparison showed that electric vehicles and hybrid vehicles The probability of traffic accidents in low-speed areas is much higher than that of traditional internal combustion ...

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is aimed at the potential safety hazards existing when electric vehicles or hybrid electric vehicles run at low speeds, and the prior art sound design and selection, control system is too simple, etc., and a design method for pedestrian warning sounds of electric cars is provided. When a car or a hybrid car is driving at a low speed, it will intelligently select the sound samples prepared in advance, and intelligently select the intensity of the played sound according to the size of the background noise to warn pedestrians or other road users, so as to remind them to effectively avoid vehicles

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