In this paper, the battery energy storage technology is applied to the traditional EV (electric vehicle) charging piles to build a new EV charging pile with integrated charging, discharging, and storage; Multisim software is used to build an EV charging model in order to simulate the charge control guidance module.
The data collected by the charging pile mainly include the ambient temperature and humidity, GPS information of the location of the charging pile, charging voltage and current, user information, vehicle battery information, and driving conditions . The network layer is the Internet, the mobile Internet, and the Internet of Things.
Based on the Internet of Things technology, the energy storage charging pile management system is designed as a three-layer structure, and its system architecture is shown in Figure 9. The perception layer is energy storage charging pile equipment.
Data is the basis of online monitoring of charging pile equipment because a large amount of data is needed for analysis and decision-making during charging pile operation. Therefore, the reasonable management of data is an important part of the platform design .
The reason why the monitoring precision of the platform is high in this paper is that the platform collects various data of charging piles by using big data technology based on the data model constructed, which optimizes the monitoring effect. Technology is the means to embody the value of big data and the cornerstone of progress.
The main function of the control device of the energy storage charging pile is to facilitate the user to charge the electric vehicle and to charge the energy storage battery as far as possible when the electricity price is at the valley period. In this section, the energy storage charging pile device is designed as a whole.