Research on the Management Strategy of Charging Station Based on the Differential Integrated Moving Average Autoregressive Model

Abstract

With the “explosive growth” of new energy vehicles, the number of new energy vehicles continues to rise. The proportion of pure electric vehicles is basically maintained at about 80%. It makes broad market prospects for charging facilities. However, the operating enterprises have the problems of single business model and weak profitability[1].It limits the speed at which enterprises can recover construction costs and seize the user market. The purpose of this paper is to attract user traffic and maximize the benefits of enterprise operation. This paper analyzes the charging behavior of charging station users. According to the usage of different types of charging piles, suggestions are made for setting a reasonable free parking time. The number of typical faults of charging facilities is studied by using autoregressive integrated moving average model (ARIMA). The result provides the data basis for enterprise equipment operation and user management. We discovered that the free parking time of the fast charging pile can be set at 1.5 to 2 hours. And the free parking time of the slow charging pile can be set at 3 hours. The ARIMA model can effectively predict the number of failures. We can make the operating and maintenance plan according to the forecast results. That will improve the efficiency and profit.