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An Information Fusion Charging Optimization Model
编号：206 访问权限：公开 更新：2020-10-15 20:13:49 浏览：291次 张贴报告

报告开始：2020年11月04日 14:50（Asia/Shanghai）

报告时间：5min

所在会场：[G] Poster session [G1] Poster Session 1 and Poster Session 6

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摘要
Based on the road network model, grid load information, and vehicle scheduling information in the charging station, a vehicle-pile-road-network-source information fusion multi-in-one orderly charging model is established. Among them, due to vehicle charging information and grid load information  It changes in real time and needs to submit charging requirements at every time interval and upload to the server. The information includes geographic location information, battery attribute information, and SOC information. The charging station provides the current number of vehicles, the total number of vehicles accommodated, and the number of vehicles queued at the charging station. The power supply end of the grid provides current load power and maximum load power. Calculate the optimal station location and shortest route navigation for each vehicle based on the road network information, and distribute it to each system. Its advantage is that it can allocate vehicles reasonably during peak hours and solve the problem of traffic congestion.
 
关键词
orderly charging; SOC; electric vehicle; charging station; power grid; road network; information fusion
报告人
Tao Ma
State Grid Hebei Electric Power Co., Ltd. Xiong'an New District Power Supply Company

稿件作者
Tao Ma State Grid Hebei Electric Power Co., Ltd. Xiong'an New District Power Supply Company
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重要日期

  • 会议日期

    11月02日

    2020

    至

    11月04日

    2020

  • 10月27日 2020

    初稿截稿日期

  • 11月03日 2020

    报告提交截止日期

  • 11月04日 2020

    注册截止日期

  • 11月17日 2020

    终稿截稿日期

主办单位
IEEE IAS Student Chapter of Huazhong University of Science and Technology (HUST)
承办单位
Huazhong University of Science and Technology
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