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Eco-driving control for connected and automated electric vehicles at signalized intersections with wireless charging

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  • Zhang, Jian
  • Tang, Tie-Qiao
  • Yan, Yadan
  • Qu, Xiaobo

Abstract

Electric vehicles have been well recognized by many as a solution to reduce greenhouse emissions, improve mobility, and decrease energy consumption in the transportation system. In this paper, we propose a novel wireless charging scheme for electric vehicles. The proposed scheme deploys partial wireless charging lane to intersections, so as to utilize the slow movement of vehicles at traffic lights for recharging. Furthermore, an eco-driving control strategy for electric vehicles at intersections with wireless charging, i.e., W-eco-driving, is developed, aiming to decrease the total energy consumption and increase traffic efficiency. With the aid of connected and automated vehicles technology, driving and surrounding data are accessible in real-time. Then electric vehicles can be controlled using the W-eco-driving strategy accurately. The proposed strategy is finally validated based on a specific intersection configuration. Both single electric vehicle control and electric vehicle platooning are discussed in test examples. We also investigate the influences of wireless charging power, location and length. Numerical results show that the wireless charging scheme with W-eco-driving is able to increase the driving range and decrease the travel cost simultaneously. The total travel cost can be saved up to 16% by following W-eco-driving. We further provide some suggestions about the construction of wireless charging lanes in the vicinity of signalized intersections. Compared with the pursuit of a long wireless charging lane, it is more important to put it in a proper position in the early stage of construction.

Suggested Citation

  • Zhang, Jian & Tang, Tie-Qiao & Yan, Yadan & Qu, Xiaobo, 2021. "Eco-driving control for connected and automated electric vehicles at signalized intersections with wireless charging," Applied Energy, Elsevier, vol. 282(PA).
    • Handle: RePEc:eee:appene:v:282:y:2021:i:pa:s0306261920316093
    DOI: 10.1016/j.apenergy.2020.116215
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    3. Wang, Pangwei & Wang, Xindi & Ye, Rongsheng & Sun, Yuanzhe & Liu, Cheng & Zhang, Juan, 2024. "Eco-driving-based mixed vehicular platoon control model for successive signalized intersections," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 639(C).
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    7. Dong, Haoxuan & Zhuang, Weichao & Chen, Boli & Wang, Yan & Lu, Yanbo & Liu, Ying & Xu, Liwei & Yin, Guodong, 2022. "A comparative study of energy-efficient driving strategy for connected internal combustion engine and electric vehicles at signalized intersections," Applied Energy, Elsevier, vol. 310(C).
    8. Amjad, Muhammad & Farooq-i-Azam, Muhammad & Ni, Qiang & Dong, Mianxiong & Ansari, Ejaz Ahmad, 2022. "Wireless charging systems for electric vehicles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    9. Han, Feng & Guo, Hong & Ding, Xiaofeng, 2021. "Design and optimization of a liquid cooled heat sink for a motor inverter in electric vehicles," Applied Energy, Elsevier, vol. 291(C).
    10. Ji, Jinhua & Wang, Linhong & Yang, Menglin & Bie, Yiming & Hao, Mingjie, 2024. "Optimal deployment of dynamic wireless charging facilities for electric bus route considering stochastic travel times," Energy, Elsevier, vol. 289(C).
    11. Li, Bin & Dong, Xujun & Wen, Jianghui, 2022. "Cooperative-driving control for mixed fleets at wireless charging sections for lane changing behaviour," Energy, Elsevier, vol. 243(C).
    12. Simin Hesami & Majid Vafaeipour & Cedric De Cauwer & Evy Rombaut & Lieselot Vanhaverbeke & Thierry Coosemans, 2023. "Dynamic Pro-Active Eco-Driving Control Framework for Energy-Efficient Autonomous Electric Mobility," Energies, MDPI, vol. 16(18), pages 1-19, September.
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    15. Liu, Qingling & Xu, Xiaowen, 2024. "A platoon-based eco-driving control mechanism for low-density traffic flow," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 637(C).

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