Electric vehicle active sound production dizziness suppression system and method based on multi-modal information fusion

By using a multimodal information fusion system to identify motion sickness levels in real time and generate acoustic intervention signals synchronized with vehicle dynamics, the problem of inaccurate motion sickness assessment and lack of auditory information in existing technologies is solved, achieving personalized, multi-sensory motion sickness relief.

CN122078413APending Publication Date: 2026-05-26WUHAN UNIV OF TECH
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Patent Information

Application Number
CN202610239184.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-02-28
Publication Date
2026-05-26

AI Technical Summary

Technical Problem

Existing active intervention technologies for motion sickness lack real-time and accuracy in assessing motion sickness, and electric vehicles lack the background noise of traditional internal combustion engines, resulting in a lack of auditory information for passengers and an inability to provide accurate sensory cues, especially in electric vehicles where the effect is limited.

Method used

A multimodal information fusion system is adopted, which uses vehicle motion sensing and physiological state monitoring, especially EEG signals, combined with a deep learning model to identify motion sickness levels in real time. It also generates acoustic intervention signals that are synchronized with vehicle dynamics through an order synthesis algorithm, and coordinates the control of other devices such as seat vibration and micro-wind system to form a closed-loop optimization.

Benefits of technology

It achieves accurate and real-time judgment of motion sickness, provides auditory information that is completely synchronized with vehicle dynamics, enhances sensory consistency, personalizes the intensity of intervention, and uses multi-sensory collaboration to alleviate motion sickness and improve travel comfort.

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Abstract

The invention discloses an electric vehicle active sound production dizziness suppression system and method based on multi-modal information fusion. The system comprises a signal acquisition module, a data processing and carsickness grade identification module, an acoustic signal generation module and a vehicle-mounted sound production device, the signal acquisition module is used for acquiring vehicle motion parameters and physiological state data of passengers; the data processing and carsickness grade identification module carries out fusion analysis on the original electroencephalogram signals and the vehicle motion parameters and outputs a carsickness grade judgment result; the acoustic signal generation module is used for improving corresponding parameters of specific-order harmonics through an order synthesis algorithm, enhancing a synthesized audio signal and taking the synthesized audio signal as an acoustic intervention signal; and the vehicle-mounted sound production device receives the acoustic intervention signal and plays intervention sound. According to the method, the carsickness state is accurately judged, the acoustic intervention signal highly associated with the carsickness state can be dynamically generated based on the specific vehicle motion parameters of the electric vehicle, the auditory information gap is made up, and the carsickness suppression effect is achieved.
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