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Automotive platoon energy-saving: A review

Author

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  • Pi, Dawei
  • Xue, Pengyu
  • Wang, Weihua
  • Xie, Boyuan
  • Wang, Hongliang
  • Wang, Xianhui
  • Yin, Guodong

Abstract

With the intensification of the greenhouse effect, carbon neutrality has become a global goal. The development of vehicle platoons provides a new idea for energy saving and emission reduction. To explore the practical application prospect of vehicle platoon energy-saving methods and reveal the limitations and improvement direction of current vehicle platoon research, this paper reviews the current research status of vehicle platoon energy-saving methods and analyzes the energy-saving method. The energy-saving methods are summarized from aerodynamic and vehicle speed optimization perspectives. Energy-saving methods based on aerodynamics include field tests, wind-tunnel tests, and CFD. Energy-saving methods based on vehicle speed optimization mainly focus on the acceleration and deceleration behavior optimization of vehicles in the platoon. The limitations and prospects of automotive and vehicle platoon development are also put forward.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:rensus:v:179:y:2023:i:c:s1364032123001247
    DOI: 10.1016/j.rser.2023.113268
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    1. Linan Zhang & Yizhe Wang & Huaizhong Zhu, 2022. "Theory and Experiment of Cooperative Control at Multi-Intersections in Intelligent Connected Vehicle Environment: Review and Perspectives," Sustainability, MDPI, vol. 14(3), pages 1-19, January.
    2. Yu, Feifei & Wang, Liting & Li, Xiaotong, 2020. "The effects of government subsidies on new energy vehicle enterprises: The moderating role of intelligent transformation," Energy Policy, Elsevier, vol. 141(C).
    3. Liu, Feiqi & Zhao, Fuquan & Liu, Zongwei & Hao, Han, 2019. "Can autonomous vehicle reduce greenhouse gas emissions? A country-level evaluation," Energy Policy, Elsevier, vol. 132(C), pages 462-473.
    4. Greenblatt, Jeffery & Shaheen, Susan PhD, 2015. "Automated Vehicles, On-Demand Mobility and Environmental Impacts," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt23r1h80t, Institute of Transportation Studies, UC Berkeley.
    5. Zabat, Michael & Stabile, Nick & Farascaroli, Stefano & Browand, Frederick, 1995. "The Aerodynamic Performance Of Platoons: A Final Report," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt8ph187fw, Institute of Transportation Studies, UC Berkeley.
    6. Wadud, Zia & MacKenzie, Don & Leiby, Paul, 2016. "Help or hindrance? The travel, energy and carbon impacts of highly automated vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 86(C), pages 1-18.
    7. Fox-Penner, Peter & Gorman, Will & Hatch, Jennifer, 2018. "Long-term U.S transportation electricity use considering the effect of autonomous-vehicles: Estimates & policy observations," Energy Policy, Elsevier, vol. 122(C), pages 203-213.
    8. Chen, Yuche & Gonder, Jeffrey & Young, Stanley & Wood, Eric, 2019. "Quantifying autonomous vehicles national fuel consumption impacts: A data-rich approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 122(C), pages 134-145.
    9. Bi, Huibo & Shang, Wen-Long & Chen, Yanyan & Wang, Kezhi & Yu, Qing & Sui, Yi, 2021. "GIS aided sustainable urban road management with a unifying queueing and neural network model," Applied Energy, Elsevier, vol. 291(C).
    10. Diamond, David, 2009. "The impact of government incentives for hybrid-electric vehicles: Evidence from US states," Energy Policy, Elsevier, vol. 37(3), pages 972-983, March.
    11. 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).
    12. Yuan, Xueliang & Liu, Xin & Zuo, Jian, 2015. "The development of new energy vehicles for a sustainable future: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 298-305.
    13. Zhang, Hao & Cai, Guixin, 2020. "Subsidy strategy on new-energy vehicle based on incomplete information: A Case in China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 541(C).
    14. 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).
    15. Giampieri, A. & Ling-Chin, J. & Ma, Z. & Smallbone, A. & Roskilly, A.P., 2020. "A review of the current automotive manufacturing practice from an energy perspective," Applied Energy, Elsevier, vol. 261(C).
    16. Yu, Wei & Wang, Ruochen, 2019. "Development and performance evaluation of a comprehensive automotive energy recovery system with a refined energy management strategy," Energy, Elsevier, vol. 189(C).
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