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Abstract:
The Active Sound Enhancement (ASE) System in electric vehicles plays a crucial role in con-structing 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. © 2025 SAE-China. All rights reserved.
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Automotive Engineering
ISSN: 1000-680X
Year: 2025
Issue: 3
Volume: 47
Page: 578-585and577
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ESI Highly Cited Papers on the List: 0 Unfold All
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30 Days PV: 0
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