Human-Computer Interaction Interface Design in the Cab of New Energy Vehicles

Abstract

A new energy vehicle cab control platform based on human-computer interaction is proposed from control device design and control signal acquisition design. A driving mode conversion algorithm based on the threshold is combined with the existing intelligent vehicle driving mode conversion. The MATLAB and Python hybrid program is used to realize the simulation experiment of the driving control algorithm of new energy vehicles. The system can conduct interactive simulations of various typical driving scenarios. Data acquisition and dynamic display functions can present the operating status of new energy vehicles most directly and efficiently. The system can integrate and intelligently process vehicle driving data, road environment data and external data from multiple dimensions of the ”vehicle-road-network”. The experimental results show that the system enhances the user experience of new energy vehicles and improves the efficiency of human-computer interaction.