Development and Simulation of V2I Communications and Controls

This paper presents the integration of connected and automated vehicle (CAV) technology into a modified Cadillac LYRIQ, focusing on adaptive cruise control (ACC), lane centering control (LCC), perception algorithms, and vehicle-to-infrastructure (V2I) communication. This study, carried out as part of the EcoCAR Electric Vehicle Challenge (EVC), compares the modeled performance of a vehicle with multiple CAV features with the performance of an unaided human driving. Simulation findings focus on range impacts during commuting through an urban environment with multiple intersections. Baseline results demonstrate varying deceleration requirements at intersections which affect energy capture and efficiency. Comparisons reveal the impact on torque commands and energy capture rates, resulting in potential energy savings in state-of-charge (SOC) with optimized deceleration strategies. Partial deceleration strategies are explored, showcasing potential improvements in energy expenditure and SOC preservation.