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Review on eco-driving control for connected and automated vehicles

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  • Li, Jie
  • Fotouhi, Abbas
  • Liu, Yonggang
  • Zhang, Yuanjian
  • Chen, Zheng

Abstract

With the development of communication and automation technologies, the great energy-saving potential of connected and automated vehicles (CAVs) has gradually been highlighted. By means of interactions with surrounding vehicles and infrastructure, CAVs can automatically plan ecological driving behaviours to significantly reduce energy consumption, which is normally defined as eco-driving. Currently, eco-driving is recognised as an effective method to improve the energy economy of individual CAVs and promote the overall energy economy of transportation without requiring significant hardware investment. After reviewing the scattered eco-driving literature, this study systematically summarizes the state-of-the-art in this field for promoting its future development. The basic principles of eco-driving and energy management systems are firstly discussed to figure out the relationship between eco-driving and powertrain control. Then, related eco-driving studies are classified into three categories according to their applications in terms of single-vehicle scenario, car-following operation, and multi-vehicle co-operation. The key characteristics of various eco-driving studies are in-depth addressed, and the energy-saving potential for cooperative eco-driving is emphasized. Finally, the potential development trends are provided, thereby contributing to the development of eco-driving techniques.

Suggested Citation

  • Li, Jie & Fotouhi, Abbas & Liu, Yonggang & Zhang, Yuanjian & Chen, Zheng, 2024. "Review on eco-driving control for connected and automated vehicles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PB).
    • Handle: RePEc:eee:rensus:v:189:y:2024:i:pb:s1364032123008833
    DOI: 10.1016/j.rser.2023.114025
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    1. Li, Daofei & Jiang, Yangye & Shen, Yijie, 2024. "Intersection eco-driving for automated vehicles: SMPC-based strategies for handling leading vehicle starting-up uncertainties," Energy, Elsevier, vol. 302(C).

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