An optimal control strategy design for plug-in hybrid electric vehicles based on internet of vehicles

This paper presents an approach to the design of optimal control strategy for plug-in hybrid electric vehicles (PHEVs) incorporating Internet Vehicles (IoVs). The is designed and implemented by employing a mobile edge computing (MEC) based framework IoVs. thresholds in can be instantaneously optimized chaotic particle swarm optimization with sequential quadratic programming (CPSO-SQP) units (MECUs). vehicle-to-vehicle (V2V) vehicle-to-infrastructure (V2I) communication are adopted IoV collect traffic information CPSO-SQP transmit commands vehicle from MECUs. To guarantee real-time performance, delay V2V V2I decreased via alternative iterative algorithm (AIOA) approach. simulation results demonstrate superior performance novel PHEV 9% improvement, compared original strategy.