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Battery-assisted charging system for simultaneous charging of electric vehicles

Author

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  • Aziz, Muhammad
  • Oda, Takuya
  • Ito, Masakazu

Abstract

A battery-assisted charging system has been developed to improve the charging performance of a quick charger for electric vehicles. The developed system mainly consists of an alternating current-to-direct current inverter, a direct current-to-direct current voltage converter, a stationary battery, and an electric vehicle charger. The difference in charging rates in different seasons (winter and summer) was determined initially to measure the effect of electric vehicle battery temperature (influenced by surrounding temperature) on the charging rate. The charging rate during summer was higher than that during winter. In addition, simultaneous charging experiments were performed in different seasons (winter and summer) and for different contracted power capacities (50, 30, and 15 kW). Compared to a conventional charging system, the developed system can improve the charging performance of electric vehicle chargers in terms of the charging rate, while maintaining the contracted power capacity.

Suggested Citation

  • Aziz, Muhammad & Oda, Takuya & Ito, Masakazu, 2016. "Battery-assisted charging system for simultaneous charging of electric vehicles," Energy, Elsevier, vol. 100(C), pages 82-90.
    • Handle: RePEc:eee:energy:v:100:y:2016:i:c:p:82-90
    DOI: 10.1016/j.energy.2016.01.069
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    References listed on IDEAS

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    10. Lixing Chen & Xueliang Huang & Zhong Chen & Long Jin, 2016. "Study of a New Quick-Charging Strategy for Electric Vehicles in Highway Charging Stations," Energies, MDPI, vol. 9(9), pages 1-20, September.
    11. Carlo Corinaldesi & Georg Lettner & Daniel Schwabeneder & Amela Ajanovic & Hans Auer, 2020. "Impact of Different Charging Strategies for Electric Vehicles in an Austrian Office Site," Energies, MDPI, vol. 13(22), pages 1-17, November.
    12. Jun Bi & Yongxing Wang & Shuai Sun & Wei Guan, 2018. "Predicting Charging Time of Battery Electric Vehicles Based on Regression and Time-Series Methods: A Case Study of Beijing," Energies, MDPI, vol. 11(5), pages 1-18, April.
    13. Yorick Ligen & Heron Vrubel & Hubert Girault, 2019. "Local Energy Storage and Stochastic Modeling for Ultrafast Charging Stations," Energies, MDPI, vol. 12(10), pages 1-14, May.
    14. García-Vázquez, Carlos A. & Llorens-Iborra, Francisco & Fernández-Ramírez, Luis M. & Sánchez-Sainz, Higinio & Jurado, Francisco, 2017. "Comparative study of dynamic wireless charging of electric vehicles in motorway, highway and urban stretches," Energy, Elsevier, vol. 137(C), pages 42-57.
    15. Cui, Shaohua & Yao, Baozhen & Chen, Gang & Zhu, Chao & Yu, Bin, 2020. "The multi-mode mobile charging service based on electric vehicle spatiotemporal distribution," Energy, Elsevier, vol. 198(C).
    16. Pirouzi, Sasan & Aghaei, Jamshid & Niknam, Taher & Farahmand, Hossein & Korpås, Magnus, 2018. "Exploring prospective benefits of electric vehicles for optimal energy conditioning in distribution networks," Energy, Elsevier, vol. 157(C), pages 679-689.
    17. Lixing Chen & Zhong Chen & Xueliang Huang & Long Jin, 2016. "A Study on Price-Based Charging Strategy for Electric Vehicles on Expressways," Energies, MDPI, vol. 9(5), pages 1-18, May.

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