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Power Stabilization Strategy of Random Access Loads in Electric Vehicles Wireless Charging System at Traffic Lights

Author

Listed:
  • Linlin Tan

    (Department of Electrical Engineering, Southeast University, No. 2 Sipailou, Nanjing 210096, China
    Jiangsu Key Laboratory of Smart Grid Technology and Equipment, Zhenjiang 212009, China)

  • Han Liu

    (Department of Electrical Engineering, Southeast University, No. 2 Sipailou, Nanjing 210096, China
    Jiangsu Key Laboratory of Smart Grid Technology and Equipment, Zhenjiang 212009, China)

  • Zhiren Liu

    (State Grid Wuxi Power Supply Company, No. 12 Liangxi Road, Wuxi 214000, China)

  • Jinpeng Guo

    (Department of Electrical Engineering, Southeast University, No. 2 Sipailou, Nanjing 210096, China
    Jiangsu Key Laboratory of Smart Grid Technology and Equipment, Zhenjiang 212009, China)

  • Changxin Yan

    (Department of Electrical Engineering, Southeast University, No. 2 Sipailou, Nanjing 210096, China
    Jiangsu Key Laboratory of Smart Grid Technology and Equipment, Zhenjiang 212009, China)

  • Wei Wang

    (Department of Electrical Engineering, Southeast University, No. 2 Sipailou, Nanjing 210096, China
    Jiangsu Key Laboratory of Smart Grid Technology and Equipment, Zhenjiang 212009, China)

  • Xueliang Huang

    (Department of Electrical Engineering, Southeast University, No. 2 Sipailou, Nanjing 210096, China
    Jiangsu Key Laboratory of Smart Grid Technology and Equipment, Zhenjiang 212009, China)

Abstract

An opportunity wireless charging system for electric vehicles when they stop and wait at traffic lights is proposed in this paper. In order to solve the serious power fluctuation caused by random access loads, this study presents a power stabilization strategy based on counting the number of electric vehicles in a designated area, including counting method, power source voltage adjustment strategy and choice of counting points. Firstly, the circuit model of a wireless power system with multi-loads is built and the equation of each load is obtained. Secondly, after the counting method of electric vehicles is stated, the voltage adjustment strategy, based on the number of electric vehicles when the system is at a steady state, is set out. Then, the counting points are chosen according to power curves when the voltage adjustment strategy is adopted. Finally, an experimental prototype is implemented to verify the power stabilization strategy. The experimental results show that, with the application of this strategy, the charging power is stabilized with the fluctuation of no more than 5% when loads access randomly.

Suggested Citation

  • Linlin Tan & Han Liu & Zhiren Liu & Jinpeng Guo & Changxin Yan & Wei Wang & Xueliang Huang, 2016. "Power Stabilization Strategy of Random Access Loads in Electric Vehicles Wireless Charging System at Traffic Lights," Energies, MDPI, vol. 9(10), pages 1-14, October.
    • Handle: RePEc:gam:jeners:v:9:y:2016:i:10:p:811-:d:80199
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    Citations

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    Cited by:

    1. Yusuf A. Sha’aban & Augustine Ikpehai & Bamidele Adebisi & Khaled M. Rabie, 2017. "Bi-Directional Coordination of Plug-In Electric Vehicles with Economic Model Predictive Control," Energies, MDPI, vol. 10(10), pages 1-20, September.
    2. Karam Hwang & Jaeyong Cho & Dongwook Kim & Jaehyoung Park & Jong Hwa Kwon & Sang Il Kwak & Hyun Ho Park & Seungyoung Ahn, 2017. "An Autonomous Coil Alignment System for the Dynamic Wireless Charging of Electric Vehicles to Minimize Lateral Misalignment," Energies, MDPI, vol. 10(3), pages 1-20, March.

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