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

Yuanjian Zhang, Yonggang Liu, Yanjun Huang, Zheng Chen, Guang Li, Wanming Hao, Geoff Cunningham and Juliana Early

Energy, 2021, vol. 228, issue C

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

Keywords: Optimal control strategy; Plug-in hybrid electric vehicle (PHEV); Internet of vehicles (IoVs); Mobile edge computing (MEC); Chaotic particle swarm optimization with sequential quadratic programming (CPSO-SQP); Alternative iterative optimization algorithm (AIOA) (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:228:y:2021:i:c:s036054422100880x

DOI: 10.1016/j.energy.2021.120631

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