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

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

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.

Suggested Citation

  • Zhang, Yuanjian & Liu, Yonggang & Huang, Yanjun & Chen, Zheng & Li, Guang & Hao, Wanming & Cunningham, Geoff & Early, Juliana, 2021. "An optimal control strategy design for plug-in hybrid electric vehicles based on internet of vehicles," Energy, Elsevier, vol. 228(C).
    • Handle: RePEc:eee:energy:v:228:y:2021:i:c:s036054422100880x
    DOI: 10.1016/j.energy.2021.120631
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    References listed on IDEAS

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    5. Chen, Zheng & Wu, Simin & Shen, Shiquan & Liu, Yonggang & Guo, Fengxiang & Zhang, Yuanjian, 2023. "Co-optimization of velocity planning and energy management for autonomous plug-in hybrid electric vehicles in urban driving scenarios," Energy, Elsevier, vol. 263(PF).
    6. Brunelli, Lorenzo & Capancioni, Alessandro & Canè, Stella & Cecchini, Giammarco & Perazzo, Alessandro & Brusa, Alessandro & Cavina, Nicolò, 2023. "A predictive control strategy based on A-ECMS to handle Zero-Emission Zones: Performance assessment and testing using an HiL equipped with vehicular connectivity," Applied Energy, Elsevier, vol. 340(C).
    7. Li, Xinyu & Cao, Yue & Yan, Fei & Li, Yuzhe & Zhao, Wanlin & Wang, Yue, 2022. "Towards user-friendly energy supplement service considering battery degradation cost," Energy, Elsevier, vol. 249(C).

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