Nanjing Zhongxing Energy Technology Co., Ltd. has applied for a patent for an intelligent scheduling method for electric vehicle charging stations based on big data analysis. This innovation aims to significantly reduce response delays.
According to the National Intellectual Property Administration, the patent, titled “An Intelligent Scheduling Method for Electric Vehicle Charging Stations Based on Big Data Analysis,” was published with the application number CN120069414A, and the application date is set for February 2025.
The patent abstract indicates that the invention introduces a method that includes obtaining data on traffic flow, user charging behaviors, power grid loads, and weather conditions, followed by the establishment of a data fusion model. The method employs an enhanced exponential smoothing technique for short-term charging demand forecasting, ultimately generating an optimal charging station scheduling plan.
Furthermore, a scheduling feedback mechanism is integrated to monitor whether the time discrepancies experienced by users during their journeys and the availability of charging stations align with the optimal scheduling plan. Depending on this alignment, the system can choose to update or regenerate the optimal scheduling strategy.
This invention ensures efficient scheduling of charging station resources in environments with significant demand fluctuations and complex load patterns through dynamically adjusting weights, demand forecasting, and scheduling feedback mechanisms. It effectively reduces response delays and enhances the stability of the scheduling system.
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