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Predictive energy-saving optimization based on nonlinear model predictive control for cooperative connected vehicles platoon with V2V communication

Author

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  • Ma, Fangwu
  • Yang, Yu
  • Wang, Jiawei
  • Liu, Zhenze
  • Li, Jinhang
  • Nie, Jiahong
  • Shen, Yucheng
  • Wu, Liang

Abstract

The rise of the intelligent transportation system (ITS) brings golden opportunity to accelerate the development of environment-friendly smart mobility eco-system. The intelligent control of connected autonomous vehicles (CAV) platoon with V2V communication as the core technology exhibits superior energy-saving potential. However, there still exist plentiful technologies of the emerging vehicle platoon need to be improved. Hence, this paper describes a predictive optimization strategy as ecological cooperative adaptive cruise control (eCACC) based on nonlinear model predictive control (NMPC) to minimize the energy consumption of an electrified CAV platoon considering V2V topological communication structure of leader predecessor follower. The cost function for NMPC includes the following velocity, range deviation and energy consumption. Through the simulation analysis under various drive cycles, the advantage of the proposed scheme emerges that the platoon consisted of three vehicles possesses the nice string stability, excellent following performance and significant energy-saving potential at same time. Moreover, the acceleration of the following vehicles is in a small range, improving the drive comfort. By the comparison with the existed Eco ACC controller, the simulation results demonstrate the proposed controller owns better following performance and energy-saving behavior of 16.1%, 6.2% and 11.7% under full UDDS, HWFET and NEDC drive cycle, respectively.

Suggested Citation

  • Ma, Fangwu & Yang, Yu & Wang, Jiawei & Liu, Zhenze & Li, Jinhang & Nie, Jiahong & Shen, Yucheng & Wu, Liang, 2019. "Predictive energy-saving optimization based on nonlinear model predictive control for cooperative connected vehicles platoon with V2V communication," Energy, Elsevier, vol. 189(C).
    • Handle: RePEc:eee:energy:v:189:y:2019:i:c:s0360544219318158
    DOI: 10.1016/j.energy.2019.116120
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    6. Dong, Peng & Zhao, Junwei & Liu, Xuewu & Wu, Jian & Xu, Xiangyang & Liu, Yanfang & Wang, Shuhan & Guo, Wei, 2022. "Practical application of energy management strategy for hybrid electric vehicles based on intelligent and connected technologies: Development stages, challenges, and future trends," Renewable and Sustainable Energy Reviews, Elsevier, vol. 170(C).
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    8. He, Z.C. & Kang, H. & Li, Eric & Zhou, E.L. & Cheng, H.T. & Huang, Y.Y., 2022. "Coordinated control of heterogeneous vehicle platoon stability and energy-saving control strategies," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 606(C).
    9. Xin-Wei Li & Hong-Zhi Miao, 2023. "How to Incorporate Autonomous Vehicles into the Carbon Neutrality Framework of China: Legal and Policy Perspectives," Sustainability, MDPI, vol. 15(7), pages 1-24, March.
    10. Li, Haijian & Zhang, Junjie & Sun, Xiaoliang & Niu, Jun & Zhao, Xiaohua, 2022. "A survey of vehicle group behaviors simulation under a connected vehicle environment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 603(C).
    11. Alessia Musa & Michele Pipicelli & Matteo Spano & Francesco Tufano & Francesco De Nola & Gabriele Di Blasio & Alfredo Gimelli & Daniela Anna Misul & Gianluca Toscano, 2021. "A Review of Model Predictive Controls Applied to Advanced Driver-Assistance Systems," Energies, MDPI, vol. 14(23), pages 1-24, November.
    12. Nie, Zifei & Farzaneh, Hooman, 2022. "Real-time dynamic predictive cruise control for enhancing eco-driving of electric vehicles, considering traffic constraints and signal phase and timing (SPaT) information, using artificial-neural-netw," Energy, Elsevier, vol. 241(C).
    13. Pi, Dawei & Xue, Pengyu & Wang, Weihua & Xie, Boyuan & Wang, Hongliang & Wang, Xianhui & Yin, Guodong, 2023. "Automotive platoon energy-saving: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 179(C).
    14. Guo, Cong & Fu, Chunyun & Luo, Ronghua & Yang, Guanlong, 2022. "Energy-oriented car-following control for a front- and rear-independent-drive electric vehicle platoon," Energy, Elsevier, vol. 257(C).
    15. Ruan, Shumin & Ma, Yue & Yang, Ningkang & Yan, Qi & Xiang, Changle, 2023. "Multiobjective optimization of longitudinal dynamics and energy management for HEVs based on nash bargaining game," Energy, Elsevier, vol. 262(PA).

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