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Real-time forecasting of EV charging station scheduling for smart energy systems

机译：智能能源系统电动汽车充电站调度的实时预测

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The enormous growth in the penetration of electric vehicles (EVs), has laid the path to advancements in the charging infrastructure. Connectivity between charging stations is an essential prerequisite for future EV adoption to alleviate user's "range anxiety". The existing charging stations fail to adopt power provision, allocation and scheduling management. To improve the existing charging infrastructure, data based on real-time information and availability of reserves at charging stations could be uploaded to the users to help them locate the nearest charging station for an EV. This research article focuses on an a interactive user application developed through SQL and PHP platform to allocate the charging slots based on estimated battery parameters, which uses data communication with charging stations to receive the slot availability information. The proposed server-based real-time forecast charging infrastructure avoids waiting times and its scheduling management efficiently prevents the EV from halting on the road due to battery drain out. The proposed model is implemented using a low-cost microcontroller and the system etiquette tested.
机译：电动汽车（EV）普及率的巨大增长为充电基础设施的发展铺平了道路。充电站之间的连接性是未来采用电动汽车以减轻用户的“范围焦虑”的基本前提。现有的充电站无法采用电力供应，分配和调度管理。为了改善现有的充电基础设施，可以将基于实时信息和充电站储备的可用性的数据上载到用户，以帮助他们找到电动汽车最近的充电站。本文的研究重点是通过SQL和PHP平台开发的交互式用户应用程序，用于基于估计的电池参数分配充电插槽，该电池使用与充电站的数据通信来接收插槽可用性信息。所提出的基于服务器的实时预测充电基础设施避免了等待时间，其调度管理有效地防止了电动汽车因电池电量耗尽而停在道路上。所提出的模型是使用低成本微控制器实现的，并且对系统礼节进行了测试。

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