Pure Electric Intelligent Connected Vehicle Driving Strategy at Intersection Based on Energy Analysis

This paper aims to do research on the Pure Electric Intelligent Connected Vehicle (PE-ICV) driving strategy at intersection by analyzing the energy consumption. Select signal control intersection as the research environment, analyze the driving characteristics of PE-ICV, establish PE-ICV dynamics model, calculate the relationship between vehicle speed and energy consumption, and optimize PE-ICV driving strategy at different speeds and environment based on braking energy feedback and real-time intersection information. Finally, using Matlab tools for simulation, the result shows that the optimized driving strategy can effectively reduce vehicle energy consumption and realize the efficient passage of PE-ICV at intersections.