Energy Storage Charging Pile Management Based on Internet of Things Technology for Electric Vehicles

Abstract

The traditional charging pile management system usually only focuses on the basic charging function, which has problems such as single system function, poor user experience, and inconvenient management. 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. On this basis, combined with the research of new technologies such as the Internet of Things, cloud computing, embedded systems, mobile Internet, and big data, new design and construction methods of the energy storage charging pile management system for EV are explored. Moreover, K-Means clustering analysis method is used to analyze the charging habit. The functions such as energy storage, user management, equipment management, transaction management, and big data analysis can be implemented in this system. The simulation results of this paper show that: (1) Enough output power can be provided to meet the design and use requirements of the energy-storage charging pile; (2) the control guidance circuit can meet the requirements of the charging pile; (3) during the switching process of charging pile connection state, the voltage state changes smoothly. It can provide a new method and technical path for the design of electric vehicle charging pile management system, which can effectively reduce the system’s operation and maintenance costs and provide more friendly and convenient charging services.

An Improved Discrete Jaya Algorithm for Shortest Path Problems in Transportation-Related Processes

“…It is applied in a variety of domains (both as a stand-alone model and as a subproblem in complex problems), such as transportation [1][2][3], biological networks [4], social networks [5], circuit board layout [6], and robotic search/navigation processes [7][8][9][10][11][12][13]. In recent years, the rapid development of sensing and Internet of Things (IoT) technology has allowed us to obtain environmental changes rapidly [14,15]. Since such changes impact SPP solutions, it becomes increasingly important for us to find SPP solutions efficiently.…”