A Modeling Method for Continuous Active Synthetic Sound During Dynamic Operating Condition Transitions in Electric Vehicles

With the increasing adoption of electric vehicles, the in-vehicle active sound generation (ASG) system has emerged as a key technology for shaping brand-specific acoustic characteristics and enhancing the driving and riding experience. However, during dynamic operational transitions such as vehicle acceleration and deceleration, existing systems are often affected by issues including discontinuous and distorted synthesized sounds, which lack coherence and significantly compromise sound quality and auditory comfort. In response to the aforementioned issues, this paper aims to enhance the coherence of synthesized sound in the ASG system by proposing an active sound control method for adaptive and variable operating conditions. Firstly, a synthesis acoustic coherence algorithm based on trigonometric periodic functions (SACA_TPF) is designed to enhance the smoothness of transitions in both the time and frequency domains of the synthesized sound. Subsequently, a simulation method for the variable operating conditions of the ASG system is proposed, along with a further developed optimization method for enhancing the coherence of the synthesized sounds. Simulation results indicate that the proposed method significantly enhances the coherence of the synthesized sound generated by the ASG system during dynamic condition transitions, effectively preventing sound discontinuities and ensuring smooth acoustic transitions. This research is of significant practical value in terms of enhancing brand acoustic recognition in electric vehicles and improving user auditory experience.