CAN Simulation of Electric Vehicles for Designing Sound Associated with Sustainable Mobility

This thesis focuses on the simulation of Controller Area Network (CAN) parameters to optimize the exterior sound design of electric vehicles (EVs). With the widespread adoption of EVs today, their near-silent operation can pose a potential safety risk to pedestrians, especially in urban environments. In this context, the research aims to increase pedestrian safety and improve the audibility of EVs by dynamically managing the exterior sounds of EVs. Using CAN simulation, the research investigates in detail how parameters such as vehicle speed and engine RPM(revolutions per minute) can be processed in real-time and how these data can effectively modulate the frequency and amplitude of the exterior sounds of electric vehicles. The simulation model is able to appropriately modulate the sound outputs according to the dynamic state of the vehicle, thus providing a rich sound palette that varies according to the speed and movements of the vehicle. The thesis highlights the critical role of the CAN system in managing the exterior sound of electric vehicles and lays the foundation for future innovative approaches in this area. The research findings provide a comprehensive guide for electric vehicle manufacturers to dynamically and effectively manage the acoustic presence of vehicles. This study demonstrates the potential of CAN simulation to provide a solid foundation for future research and development in electric vehicle technologies and exterior sound design.