The invention relates to the technical field of traffic energy management, in particular to a traffic energy intelligent fusion management system and method based on artificial intelligence. According to the calculated coincidence degree and the function value of each charging area, the alternative charging areas selected by recommendation are output, allocation can be carried out according to the mobility of the electric vehicles, and the peak load of the power distribution network is reduced; furthermore, the standby power utilization demand of the target vehicle is analyzed and calculated, the recommended charging duration of the target vehicle is calculated according to the standby power utilization demand and is pushed to the user side, the charging duration of the vehicle can be planned, the coincidence duration between the charging duration of the vehicle and the power utilization peak time period is shortened, and the charging efficiency of the vehicle is improved. Therefore, the load scheduling of the power distribution network can be realized, the charging cost of a user can be reduced, the charging duration can be reduced in a peak period, the charging duration can be increased in a low peak period, and the charging cost is reduced.
本发明涉及交通能源管理技术领域,具体是一种基于人工智能的交通能源智能融合管理系统及方法。本发明根据计算得到的重合度以及各个充电区域的功能值输出推荐选择的备选充电区域,可根据电动车的流动性对其进行调配,减少配电网的峰值负荷;并且进一步的对目标车辆的备用用电需求进行分析计算,根据备用用电需求计算该目标车辆的推荐充电时长,推送给用户端,可对车辆的充电时长进行规划,缩短车辆的充电时长与用电峰值时间段之间的重合时长,从而可实现对配电网的负荷调度,并且也可减少用户的充电成本,可在高峰时减少充电时长,低峰时增加充电时长,降低充电成本。
Traffic energy intelligent fusion management system and method based on artificial intelligence
一种基于人工智能的交通能源智能融合管理系统及方法
2024-12-27
Patent
Electronic Resource
Chinese
IPC: | G06Q Datenverarbeitungssysteme oder -verfahren, besonders angepasst an verwaltungstechnische, geschäftliche, finanzielle oder betriebswirtschaftliche Zwecke, sowie an geschäftsbezogene Überwachungs- oder Voraussagezwecke , DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES / B60L PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES , Antrieb von elektrisch angetriebenen Fahrzeugen |
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