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6G Based Intelligent Charging Management for Autonomous Electric Vehicles

  • Tao Hong*
  • , Jihan Cao
  • , Chaoqun Fang
  • , Da Li
  • *此作品的通讯作者
  • Yunnan Innovation Institute (BUAA)
  • Beihang University
  • Ltd.

科研成果: 期刊稿件文章同行评审

摘要

Recently, significant advances have been made in the autonomous driving field, with vehicles capable of traveling vast areas independently. Meanwhile, the operators face several uncertainties such as volatility in charging demand, intrinsic intermittency of green energy supply, etc....Accordingly, this study proposes an integrated green transportation system based on 6G Internet of Things (IoT) and big data technology, aiming at integrating state grid, electric vehicles and renewable energy to address these concerns. Furthermore, this study analyzes the performance of the proposed system using both actual and simulation data. The numerical results justify that the suggested techniques greatly enhance the charging index of electric vehicles compared to the benchmark method.

源语言英语
页(从-至)7574-7585
页数12
期刊IEEE Transactions on Intelligent Transportation Systems
24
7
DOI
出版状态已出版 - 1 7月 2023

联合国可持续发展目标

此成果有助于实现下列可持续发展目标:

  1. 可持续发展目标 7 - 经济适用的清洁能源
    可持续发展目标 7 经济适用的清洁能源

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