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A car-following model for electric vehicle traffic flow based on optimal energy consumption

Author

Listed:
  • Li, Yongfu
  • Zhong, Zhenyu
  • Zhang, Kaibi
  • Zheng, Taixiong

Abstract

This paper proposes a new car-following model for electric vehicle traffic flow in order to minimize the energy consumption. In particular, the energy consumption model is introduced for electric vehicles to capture the energy consumption at every moment. Then, the new car-following models with zero initial state and non-zero initial state are derived from the optimal energy consumption model by using the minimum principle theory. The theoretical analysis shows that the model with the zero initial state condition is a special case of the model with the non-zero initial state condition. Finally, the numerical experiments are conducted with three scenarios: acceleration process, deceleration process and evolution process. Results from numerical experiments demonstrate the effectiveness of the proposed model in terms of position, velocity, and acceleration profiles.

Suggested Citation

  • Li, Yongfu & Zhong, Zhenyu & Zhang, Kaibi & Zheng, Taixiong, 2019. "A car-following model for electric vehicle traffic flow based on optimal energy consumption," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 533(C).
    • Handle: RePEc:eee:phsmap:v:533:y:2019:i:c:s0378437119311586
    DOI: 10.1016/j.physa.2019.122022
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    Citations

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    Cited by:

    1. Zeng, Junwei & Qian, Yongsheng & Li, Jiao & Zhang, Yongzhi & Xu, Dejie, 2023. "Congestion and energy consumption of heterogeneous traffic flow mixed with intelligent connected vehicles and platoons," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 609(C).
    2. Sun, Bin & Zhang, Qijun & Wei, Ning & Jia, Zhenyu & Li, Chunming & Mao, Hongjun, 2022. "The energy flow of moving vehicles for different traffic states in the intersection," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 605(C).
    3. Peng, Guanghan & Luo, Chunli & Zhao, Hongzhuan & Tan, Huili, 2023. "Jamming transition in two-lane lattice model integrating the deception attacks on influx during the lane-changing process under vehicle to everything environment," Chaos, Solitons & Fractals, Elsevier, vol. 176(C).
    4. Andrea Di Martino & Seyed Mahdi Miraftabzadeh & Michela Longo, 2022. "Strategies for the Modelisation of Electric Vehicle Energy Consumption: A Review," Energies, MDPI, vol. 15(21), pages 1-20, October.
    5. Xu, Yueru & Zheng, Yuan & Yang, Ying, 2021. "On the movement simulations of electric vehicles: A behavioral model-based approach," Applied Energy, Elsevier, vol. 283(C).

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