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Electric vehicle’s electricity consumption on a road with different slope

Author

Listed:
  • Yang, S.C.
  • Li, M.
  • Lin, Y.
  • Tang, T.Q.

Abstract

In this paper, we propose an extended car-following model and an electricity consumption model to study the effects of the road’s slope on the electric vehicle’s electricity consumption. The numerical results show that each electric vehicle’s electricity consumption increases with the uphill’s tilt angle and decreases with the downhill’s tilt angle. In addition, each electric vehicle’s electricity consumption increases with the uphill’s (downhill’s) length under a certain tilt angle.

Suggested Citation

  • Yang, S.C. & Li, M. & Lin, Y. & Tang, T.Q., 2014. "Electric vehicle’s electricity consumption on a road with different slope," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 402(C), pages 41-48.
    • Handle: RePEc:eee:phsmap:v:402:y:2014:i:c:p:41-48
    DOI: 10.1016/j.physa.2014.01.062
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    Citations

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    Cited by:

    1. Ku, Donggyun & Choi, Minje & Yoo, Nakyoung & Shin, Seungheon & Lee, Seungjae, 2021. "A new algorithm for eco-friendly path guidance focused on electric vehicles," Energy, Elsevier, vol. 233(C).
    2. Al-Wreikat, Yazan & Serrano, Clara & Sodré, José Ricardo, 2021. "Driving behaviour and trip condition effects on the energy consumption of an electric vehicle under real-world driving," Applied Energy, Elsevier, vol. 297(C).
    3. 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.
    4. Zhaowei Wang & Le Xu & Jianxiao Ma, 2023. "Carbon Dioxide Emission Reduction-Oriented Optimal Control of Traffic Signals in Mixed Traffic Flow Based on Deep Reinforcement Learning," Sustainability, MDPI, vol. 15(24), pages 1-25, December.
    5. Liu, Yang & Zhang, Qi & Lyu, Cheng & Liu, Zhiyuan, 2021. "Modelling the energy consumption of electric vehicles under uncertain and small data conditions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 154(C), pages 313-328.
    6. Junyan Han & Xiaoyuan Wang & Gang Wang, 2022. "Modeling the Car-Following Behavior with Consideration of Driver, Vehicle, and Environment Factors: A Historical Review," Sustainability, MDPI, vol. 14(13), pages 1-27, July.
    7. Wang, Hua & Zhao, De & Meng, Qiang & Ong, Ghim Ping & Lee, Der-Horng, 2020. "Network-level energy consumption estimation for electric vehicles considering vehicle and user heterogeneity," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 30-46.
    8. 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).

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