Abstract:

The Active Sound Enhancement （ASE） system in electric vehicles plays a crucial role in constructing diverse sound features and enhancing driving control perception. For the ASE technology for electric vehicles， a variable-weight multimodal switching sound synthesis algorithm is proposed in this paper. By constructing a mode-switching factor matrix， it organically combines order synthesis， pitch modulation synthesis， and particle synthesis methods to form a deep sound fusion ASE system to achieve real-time synthesis of multimodal in-cabin sound profiles aimed at enriching subjective auditory perception， increasing the richness of the ASE system， and making the synthesized sound more three-dimensional and saturated， thus enhancing the driving experience. Subsequently， a sound modulation software for electric vehicles is developed using C#， integrating ASE system control and sound modulation function to realize quick and flexible modulation of vehicle sound. Finally， the application of the sound modulation software in the sound modulation of a specific pure electric SUV is demonstrated. Sound tests combined with subjective evaluation results indicate that this software can effectively achieve multimodal sound synthesis goals， offering practical engineering application value.

Key words: active sound enhancement, sound synthesis algorithm, software development and application