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 |
| 卷 | 24 |
| 期 | 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:
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可持续发展目标 7 经济适用的清洁能源
学术指纹
探究 '6G Based Intelligent Charging Management for Autonomous Electric Vehicles' 的科研主题。它们共同构成独一无二的学术指纹。引用此
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