Summary:NowadaysGlobalWithin the scope, the popularization of electric vehicles and the development of clean energy have become important measures to address climate change and energy security challenges. followAs the sales of electric vehicles continue to grow, electric new energy charging stations play a crucial role as their main charging facilities. The increasing number of charging stations worldwide and the popularity of electric vehicles pose greater challenges to the management and operation of charging stations. This article explores in depth the intelligent management technology of new energy charging pilesAnd solutionsTo improve the utilization efficiency of charging piles, reduce energy costs, promote the large-scale application of clean energy, and provide strong support for the stable operation of the power grid.

Keywords:New energy; Charging station; intelligent management

0. Introduction

Traditional charging stations usually adopt manual inspection and simple remote monitoring methodsThe management efficiency of this method is low, and it is difficult to adapt to the dynamic changes in charging demand, which can easily lead to the waste of charging station resources and an increase in operating costs. In recent years, the development and changes in the power grid have also brought a series of challenges to the operation of charging stations, such as uneven load distribution, energy waste, and peak valley differences. More intelligent and efficient management methods are needed to address these issues. The interconnection between charging stations and the power grid can achieve a dynamic balance between charging demand and power grid load, effectively reducing the peak load of the power grid and improving its stability and reliability. However, the current level of interconnection between charging stations and the power grid is low, lacking effective information exchange and intelligent management methods, resulting in low operational efficiency of charging stations and inability to allocate and optimize power grid loads.

Overview of Intelligent Management of New Energy Charging Stations

The intelligent management of new energy charging stations is the key to improving charging efficiency,The intelligent management of new energy charging piles can improve their efficiency, reliability, and intelligence level to meet the rapidly growing charging needs of electric vehicles and achieve intelligent interconnection with the power grid. It requires the full integration of advanced sensors, communication technology, and intelligent algorithms. Smart charging piles can achieve real-time monitoring, remote control, fault diagnosis, and intelligent scheduling functions.

A new energy charging station is a device used to charge electric vehicles. It mainly consists of a charging station body, a charging connector, a controller, an intelligent management system, and necessary safety protection devices. The charging station body is the main part of the charging equipment, usually composed of a bracket, a charging socket, a display screen, etc., providing an interface for supplying power to electric vehicles. In addition, the charging connector is a key component used to connect electric vehicles and charging stations, with waterproof, dustproof, and corrosion-resistant characteristics to ensure the stability and safety of the charging connection. The controller is the core component of the charging station, responsible for controlling the current, voltage, and charging power during the charging process, ensuring the stability and safety of the charging process.

On the one hand, intelligent management enables charging stations to monitor various parameters during the charging process in real time, including battery level, charging rate, charging time, etc., thereby ensuring the safety and stability of the charging process. Through remote control functions, management personnel can remotely monitor and control the operation status of charging stations, achieve remote opening, closing, adjusting charging power and other operations, and improve the convenience and flexibility of management. On the other hand, intelligent management also includes fault diagnosis function, which can timely detect the faults of charging piles and provide corresponding maintenance suggestions, reducing the impact of faults on the operation of charging piles. Based on this, intelligent management achieves dynamic balance between charging piles and optimized configuration of grid load through intelligent scheduling algorithms, improving the utilization and charging efficiency of charging piles, while reducing the peak load of the grid and promoting the large-scale application of clean energy.

2. Technical framework for intelligent management of new energy charging piles

2.1 Equipment Control and Monitoring

In the intelligent management technology framework of new energy charging piles, equipment control andMonitoring covers the control and real-time monitoring functions of charging station equipment. In the specific implementation process, advanced sensor technology, communication technology, and data processing algorithms can be integrated to achieve precise control and comprehensive monitoring of charging station equipment to a large extent. In the process of controlling and monitoring intelligent charging station equipment, the control algorithm used can monitor various parameters of the charging station in real time, such as current, voltage, temperature, as well as status information during the charging process, such as charging power, remaining charging time, etc., to ensure the stability and safety of the charging process.

Based on real-time monitoring data, algorithms can promptly detect abnormal situations of charging pile equipment, such as excessive current, abnormal voltage, etc., and take corresponding control measures, such as automatically reducing charging power or interrupting the charging process, to prevent equipment damage or safety accidents. Secondly, the algorithm can automatically adjust the charging power and time based on the working status and charging requirements of the charging station equipment, achieving intelligent control of the charging process and improving charging efficiency and user experience. In addition, the algorithm also combines predictive analysis techniques to predict future charging demand and grid load through the analysis of historical data and real-time environmental information, in order to optimize charging strategies and resource allocation, further improving the utilization efficiency of charging piles and the load balancing ability of the grid.

2.2 User Management and Payment

In the intelligent management technology framework of new energy charging piles, user management and payment are crucial components, covering functions such as user identity recognition, charging permission management, and payment settlement. This technological framework integrates advanced identity recognition technology, data encryption technology, and payment systems to achieve precise management and convenient payment for charging station users. In the calculation of intelligent charging stations, the following algorithms can be applied.

Encryption algorithm. Used to ensure data security during the user payment process, such as encrypting and storing payment information to prevent it from being stolen by malicious attackers. Common encryption algorithms include RSA, AES, etc., which encrypt data to protect the privacy and security of user payment information.

Intelligent payment algorithm. Used to select optimal payment methods and charging fee calculation strategies based on users' charging needs and the operation of charging stations. These algorithms can predict and analyze based on factors such as users' historical charging records, grid electricity prices, and the utilization rate of charging piles, providing users with more economical and convenient payment methods.

Intelligent accounting algorithm. Used for the reasonable allocation of charging fees, especially in the scenario of shared charging stations, relevant algorithms can achieve the distribution of charging fees based on factors such as charging time, charging power, user identity, etc., and ensure that the rights and interests of all parties are reasonably protected.

2.3 Energy Management and Optimization

In the intelligent management technology framework of new energy charging piles, energy management and optimization are crucial components, covering functions such as energy supply and demand balance, efficient energy utilization, and optimized configuration of power grid loads. The implementation of the energy management and optimization technology framework can not only improve the energy utilization and operational efficiency of charging piles, but also optimize the operation and resource allocation of the power grid, providing important technical support for the intelligent management and interconnection of power new energy charging piles.

On the one hand, the technological framework of new energy construction integrates advanced data analysis technology, intelligent algorithms, and energy scheduling systems to achieve intelligent management and optimized utilization of charging pile energy. Specifically, in terms of energy management, intelligent management systems can monitor the supply of energy in the power grid and the charging demand of charging stations in real time. Through intelligent algorithms, energy scheduling and allocation can be carried out to achieve energy balance between charging stations and optimize the configuration of power grid load. On the other hand, in terms of energy optimization, the system can automatically adjust the charging strategy based on the load situation of the power grid and changes in energy prices, achieving efficient utilization of energy and minimizing costs. In addition, the system can predict future energy demand and supply, make corresponding adjustments in advance, ensure stable energy supply and sufficient utilization. In terms of grid load optimization, the intelligent management system can adjust the operation status and charging strategy of charging piles according to the grid load and energy distribution, achieve balanced distribution of grid load and peak valley flattening, and improve the stability and reliability of the grid.

3.Selection scheme for Ankerui charging pile charging operation cloud platform system

3.1 Overview

The AcrelCloud-9000 Ankerui Charging Pole Charging Operation Cloud Platform system uses IoT technology to continuously collect and monitor data from electric bicycle charging stations and various charging stations connected to the system. It monitors the operation status of charging stations in real time, provides charging services, payment management, transaction settlement, asset management, energy management, and detailed queries. At the same time, warning for various faults such as over temperature protection, leakage, input/output overvoltage, undervoltage, and low insulation of the charger; The charging pile supports Ethernet, 4G or WIFI access to the Internet, and users can charge through WeChat, Alipay, and cloud flash payment scanning code.

3.2 Applicable occasions

Suitable for the design of charging infrastructure in charging station modes such as civil buildings, general industrial buildings, residential areas, industrial units, commercial complexes, schools, and parks.

3.3 System Structure

The system is divided into four layers:

1) Namely the data collection layer, network transmission layer, data center layer, and client layer.

2) Data collection layer: The communication protocol for the intelligent charging station of the electric scooter is standard Modbus RTU. The intelligent charging station for electric scooters is used to collect power parameters of the charging circuit, and perform energy metering and protection.

3) Network transport layer: Upload data to a pre built database server through 4G network.

4) Data center layer: includes application servers and data servers. The application servers deploy data collection services and WEB websites, while the data servers deploy real-time databases, historical databases, and basic databases.

5) Client layer: System administrators can access the electric scooter charging station charging platform in the browser. Terminal charging users start charging by swiping their card and scanning the code.

The functions of the community charging platform mainly include intelligent large screens for charging facilities, real-time monitoring, transaction management, fault management, statistical analysis, basic data management, etc. At the same time, it provides operation and maintenance personnel with operation and maintenance apps, and charging users with charging mini programs.

3.4Ankerui Charging Station Cloud Platform System Functions

3.4.1Intelligent large screen

The intelligent large screen displays the distribution of stations, including device status, device usage rate, charging frequency, charging duration, charging amount, charging degree, charging pile faults, etc. It can also view the station information, charging pile list, charging records, revenue, energy consumption, fault records, etc. of each station. Unified management of community charging stations, monitoring equipment utilization rates, and rational allocation of resources.

3.4.2 Real time monitoring

Real time monitoring of the operation status of charging facilities, mainly including the operation status of charging stations, circuit status, charging power during the charging process, charging voltage and current, charging station alarm information, etc.

3.4.3 Transaction Management

Platform management personnel can manage charging user accounts, perform account recharge, refund, freeze, cancel and other operations, and view detailed daily charging transaction information of community users.

3.4.4 Fault Management

The equipment automatically reports fault information, and platform management personnel can view and distribute fault information through the platform. At the same time, operation and maintenance personnel can receive fault push notifications through the operation and maintenance APP, and report the results after the operation and maintenance work is completed. Charging users can also provide feedback on on-site issues through the charging mini program.

3.4.5 Statistical analysis

Through the system platform, query charging transaction statistics and energy consumption statistics from different perspectives such as charging stations, charging facilities, charging time, and charging methods.

3.4.6 Basic Data Management

Establishing operational merchants on the system platform, operators can establish and manage the required sites and charging facilities for their operations, maintain charging facility information, price strategies, discounts, and promotional activities, and also manage online card user recharge, freezing, and unbinding.

3.4.7 Operation and Maintenance APP

Intended for operation and maintenance personnel, it can manage sites and charging stations, handle fault loops, check the usage of data cards, inquire about charging/recharging status, set remote parameters, and receive fault push notifications.

3.4.8 Charging Mini Program

Targeting charging users, it can view nearby idle devices and mainly includes functions such as scanning codes for charging, account recharge, charging card binding, transaction inquiry, and fault appeal.

4.System Hardware Configuration Checklist

5. Conclusion

In summary, intelligent management and solutions for new energy charging pilesIt is a key measure to promote the application of clean energy and the operation of the power grid. specificsolutionIn China, technologies such as intelligent charging scheduling, price sensing charging, and collaborative management of energy storage systems have played an important role in reducing charging costs, optimizing grid loads, and effectively utilizing energy.