KR102194904B1 - A System and methods for optimizing the operation of battery charging infrastructure for electric vehicle - Google Patents

Abstract

In the present invention, the internal and external environmental factors important to the operation of the charger are identified and converted into variables, and variable values corresponding to these variables are measured by various sensors inside and outside the charger, and the measured information is collected by the charger central server system and built into a relational database, An appropriate charger model (model) can be selected and installed so that the charger to be installed in the future can be optimized in various environments, and after installation, a charger operation optimization system to control and monitor internal and external environmental variables in the charger to maximize the operating efficiency of the charger. And the configuration of the method.
The present invention discovers new factors for improvement in charger management/operation and service by a new data management configuration for collecting/processing enormous amounts of data generated from each sensor in real time, and efficiently improving charger management/operation and customer service. Is done.
Therefore, the present invention collects data of all possible factors that may affect charger operation, estimates the correlation between internal and external environmental factors and charger management operation, compares the predicted estimates with real-time measured values, and performs normal operation of the charger from them. The optimal estimation model is selected so that the predicted value and the estimated value in the case of the state are close to each other, and by constantly monitoring the predicted value and the measured value by using the selected estimation model, the cause is analyzed and the cause of the abnormal state that varies beyond the critical range is analyzed. It analyzes whether an abnormality occurs or whether an abnormality occurs due to internal factors of the charger (abnormal operation or error of the charger), and has an analysis procedure to predict failure or accident in advance.In the analysis of abnormal conditions of the charger, changes according to the time change of the charger Can be tracked, and by analyzing the relationship between the charger and internal and external environmental factors, the charger operation rules are updated, and a precise analysis is performed based on the operation rules, thereby providing a system capable of more stable operation status management.

Description

TECHNICAL FIELD A system and methods for optimizing the operation of battery charging infrastructure for electric vehicle

In order to efficiently install and operate the electric vehicle charging infrastructure, the present invention classifies various information (environmental factors, operating factors) on the time, space, and environment of the electric vehicle charging infrastructure already in operation as parameters to form a database and analyze the collected database By extracting the relationship between the installation environment elements and operating elements of the charging infrastructure, the collected parameter database extraction results are used not only for the environmental factors used for the installation of the charger infrastructure to be built later, but also for the operation of the built charger. This is the configuration of a system and method for installing and operating an electric vehicle charging infrastructure optimized for various environments by effectively using the extraction results.

Standardized regulations have been prepared to install electric vehicle chargers at locations with certain electrical requirements, but the location of the chargers to be installed is for various environmental factors (temperature, humidity, vibration, noise, climate change, sunlight conditions) excluding the prescribed electrical requirements. Etc.) cannot be regulated by standardization organizations. However, the efficiency and durability of the charger, and the frequency of failures and accidents vary depending on the environmental factors of the location where the charger is installed, and the operating method and operating costs of the charging service providers are affected. Environmental factors are bound to have a close relationship with charger operating efficiency.

However, various charger monitoring and management systems currently have a number of prior technologies for the configuration of managing and monitoring the state of the battery of the electric vehicle and the charging efficiency of the charger, and the charger is operated by these management systems, but the installation environment of the charger itself changes. It is impossible to manage efficiency change and collect information on various environmental variables according to the problem, and there are various operational problems and difficulties in understanding the characteristics of the charging model and environmental factors to be considered during installation, and are collected by the charger efficiency management system and operating system. If the same system is installed in a different environment from the information, there has been a problem that there is no predictable response scenario because prior information for various failures or accidents is not established.

This will be a very big obstacle to the stable operation of the charging system when electric vehicles are commercialized.

In the present invention, the internal and external environmental factors important to the operation of the charger are identified and converted into variables, and measured values corresponding to these variables are measured by various sensors inside and outside the charger, and the measured information is collected by a central server and built into a relational database. At a glance, it is possible to grasp at a glance various environmental factors (variables) inside and outside the charger that are practically required, that is, actual information necessary for operating the charger, and based on this, the charger model suitable to optimize the charger to be installed in various environments ( Model), and after installation, it is a configuration that adjusts and monitors the internal and external environmental variables of the charger to maximize the operating efficiency of the charger.

Therefore, in the present invention, if any electric vehicle charger has similar environmental variables, not only the same charger but also a charger of a different model, the database of environmental variables in advance for the installation of the charger has been investigated. By collecting environmental, management, and operation data and converting it into a database, it can bring great benefits to maintenance and operation.

Therefore, this patented invention is indispensable for building a stable and efficient system for the rapidly growing electric vehicle infrastructure.

An electric vehicle is a generic term for a vehicle that uses an electric drive motor as a power source, and drives the motor by receiving power from the storage battery of the electric vehicle. Electric vehicles are also known as EVs (electric vehicles), and electric vehicles are attracting attention in terms of global warming measures, energy savings, and CO2 emissions, and their distribution in Korea is rapidly progressing.

As the spread of electric vehicles has begun in Korea as well, social demands for the establishment of charging infrastructure have come into reality, and efforts to reduce infrastructure installation costs and management costs are continually being made.

In general, electric vehicles do not have any internal combustion engine and are developed as electric vehicles that are driven only by electricity, so they have a range of 100 km or more and hundreds of km on a single charge, but a charger infrastructure plan for charging electric vehicles with external power is essential. In order to disseminate, charging facilities must be secured first, so it is necessary to establish a systematic system for this.

The construction of such an electric vehicle charging infrastructure is largely composed of a system as shown in FIG. 1 with a power supply facility, a charger, an interface, and an information system. In the power supply facility, it is an electric facility for supplying power to an electric vehicle, which includes the inlet wiring, distribution board, and circuit breaker as an watt-hour meter. It is divided into receiving quick charger.

Rapid chargers require very large power due to their characteristics, but a fast charger that can charge 80 to 90% in 30 minutes consumes a large amount of power of 50kW, so it is a substation facility that can supply a large amount of power of 50kW without problems. It is a prerequisite to be equipped with.

Among these electric vehicle charging infrastructure management costs, the basic goal of unmanned electric vehicle charger infrastructure is to reduce labor costs for future charging operations, and price competitiveness as well as the installation of expensive fast chargers that supply large-capacity direct current (DC) for chargers. This excellent slow charging stand or AC charger such as a home charger is being considered from an advantage.

The charger serves to supply electricity received from an electricity supplier such as KEPCO to the battery of an electric vehicle, and includes direct charging, non-contact charging, and battery replacement. The direct charging method supplies power by directly connecting the charging port of the electric vehicle and the charger, and recharges the battery installed inside the electric vehicle to a certain level. It is divided into slow charging and rapid charging according to the charging time. Slow charging is connected to the charger. AC 220V is supplied to the electric vehicle through a cable to charge the battery of the electric vehicle.Approximately 3~7kW charger installed in the vehicle converts the applied AC 220V into DC and charges the battery for 3 to 10 hours depending on the battery capacity. It takes about 3~7kW and a charger with a power capacity of about 3~7kW is mainly installed. Rapid charging is a method in which the charger exchanges control signals with the car and charges the battery of the electric vehicle by variably supplying 100 to 450 V DC or 380 V AC.The charging time is short due to high voltage and high capacity, and takes about 15 to 30 minutes depending on the battery capacity. Since chargers supply high-capacity power, 50kW class is mainly installed.

The charging information system collects the location and usage status information of the charger, provides it to electric vehicle users, and monitors the operation status of the charging facility in real time.The charger (rapid) installed in public charging facilities is a user interface along with the electric vehicle charging function. , A charging watt-hour meter, a user recognition device, and a communication terminal device are installed and operated in connection with the electric vehicle charging information system of the Ministry of Environment through a communication device, and communication determined by the Ministry of Environment for data communication between the central charging information system server and each installed local charger. The protocol will be used.

On the other hand, such a charging information system usually maintains the online state of each local electric vehicle charger and the central charger central server system through various communication channels, and the central server system is again a server of another operating company (payment service operator, power service operation). It is connected with a business operator, etc.) through a communication channel.

The electric vehicle charging infrastructure is for recharging electric vehicles (EV), and it is largely divided into a charging facility for houses, a charging stand for a parking lot, a charging facility for a charging station, and a battery exchange station because the composition and function are different depending on the location. This electric vehicle charging infrastructure includes chargers and power supply systems, power control and conversion systems, and electric vehicle operating system platforms, which are essential components for electric vehicles to operate, so not only interfacing with electric vehicles, but also power supply and overall charger integration. In order to manage and charge the chargers smoothly, an information communication interface between the vehicle and the charger and parts for energy supply are required, and a comprehensive operating system that can manage them is required.

The electric vehicle charging infrastructure operating system is a system that smoothly and efficiently manages the charging infrastructure including these chargers and charging information systems, increases the efficiency and reliability of operation and use of chargers, and provides various additional services for users. Most of the chargers are managed by communicating with the charging infrastructure operating system. Currently, in the case of electric vehicle chargers, the charging infrastructure operating system is being operated mainly by public institutions (KEPCO, Ministry of Environment, etc.). The charging infrastructure operation system provides user-friendly additional services such as charging stations and charger locations, charger reservations, charging information, and fee information through mobile and web, and charging services such as unit price provision, charging status check, and billing.

The main functions of the electric vehicle charging infrastructure operating system are functions for maintaining and operating chargers and power system equipment according to the user, and service functions such as charging that can be provided to users who operate electric vehicles, according to design specifications. The main basics are EV user authentication, authorization management service, charging fee management and payment (billing) service, user information and payment information security service, electricity quality maintenance service for power system status monitoring and compensation, charger status monitoring and charging reservation management. In terms of service and EV user service, web-based charger location information and charging availability, status information service and charger load control for power peak suppression, operation management functions linked to new and renewable distributed power sources, etc. can include procedures necessary for efficient operation of chargers. have.

The main configuration of the EV charging infrastructure operating system is divided into a charger hardware configuration, a protocol matching (interface) through software such as middleware between EVs, chargers, users, and servers, and an external server for billing payment, authentication, and other information.

2 is a basic configuration of a conventional charging operation system, various external interlocking servers such as various chargers, payment servers, authentication servers, customer management servers and power supplier servers, charging infrastructure servers that manage chargers, and mobile services, web services, and customers. It consists of various additional services such as portal service.

The charger operating system software communicates data input from the charger hardware configurations to the operating system platform through network equipment using standard protocols, and provides additional services through mobile terminals, PCs and web services as the main functions of the charger operating system. To this end, it communicates with an external linking server to collect various information such as billing and authentication, and provides services.

The operating system software matching configuration is the intermediate software layer of the operating system, which is connected to the charger application service in the upper layer and the hardware device management driver in the lower layer. The software configurations for each layer of these layers are composed of an application program interface (API) unit, and are composed of parameters and classes compatible with the standards proposed by the International Electrical Standard (IEC), and an object-oriented procedural configuration (software application Program), it is easily compatible with new software standards (web, OS, network modules, etc.).

However, in the conventional charger operation system, there are a number of prior technologies for the configuration of managing and monitoring the state of the battery of the electric vehicle and the charging efficiency of the charger, and these management systems maintain the efficient operation of the charger, but the internal and external environmental factors of the charger itself change. The configuration or procedure for collecting information on the operating efficiency of the charger and various environmental variables is not provided, and various operational problems, environmental variables to be considered during installation, and selection of the charging model from the information of the collected charger operating system Difficulty in extracting basic data about such as etc. is always present, and there is no detailed configuration of the operating system information collection system and database management technology, and the influence and contribution of the charger environmental variables to the operating system from the database, failures and failures, and maintenance There is no procedure and configuration to extract the correlation, so there is no problem with major environmental variables and obstacles to be considered in advance when the same type of charger and the same type of operating system are installed in different environments, and there is no charger operation information necessary for countermeasures in case of accident It has been around. This will be a very big obstacle to the stable operation of the charging system when electric vehicles are commercialized.

The present invention is to solve the problems of the prior art described above, by identifying the internal and external environmental factors important for operation of the charger and converting them into variables, and measuring variable values corresponding to these variables by various sensors inside and outside the charger, and the measured information is Since it is collected by the central server system and built into a relational database, it is possible to grasp various environmental factors (variables) inside and outside the charger that are actually needed in the field, that is, what actual information required for charger operation is, and based on this, various chargers to be installed A suitable charger model (model) can be selected and installed so that it can be optimized in the environment, and after installation, it is a configuration that controls and monitors environmental variables inside and outside the charger to maximize the operating efficiency of the charger.

The present invention proposes a new data management configuration for collecting/processing a huge amount of data generated from each sensor in real time. In particular, it is possible to manage/operate and service chargers by secondarily extracting the correlation between data from the data of real-time mass charger operation and environment information collected by using big data analysis technology using open source and cloud-based environment and converting data into a database. By discovering new factors for improvement, charger management/operation and customer service will be efficiently improved.

In the present invention, the remote management system for electric vehicle chargers including the charger central server system that manages and monitors each charger is based on IoT by fusion of developed IT technology, sensor technology, network and wireless communication technology and control function to a commercial charging infrastructure that is basically built. We present a remote monitoring technology combined with technology. Therefore, the technical configuration of the present invention enables various charger supplementary services as well as prediction of charger demand for electric vehicle chargers, and furthermore, it is possible to efficiently manage chargers distributed in each region, and improve charger management efficiency through real-time wired/wireless two-way digital network. It is possible to dramatically improve the operational stability of chargers and chargers, thereby contributing to stable power supply throughout society by optimizing not only the energy consumption efficiency of electric vehicle chargers, but also power demand and supply.

In addition, according to the present invention, as chargers become more popular, charger status information and management information generated from each charger are generated in a huge amount and remain as a huge amount of processing tasks. This enormous problem information is efficiently processed and converted into useful information, and the charger infrastructure It is another object of the present invention to predict the evolution of and build an effective and optimized charger operating environment according to the predicted results.

In the present invention, when data of all possible factors that may affect the charger operation are collected at regular intervals from the sensor, the correlation between the internal and external environmental factors of the charger and the charger management operation can be estimated.The predicted estimate and the real-time measured value are compared. And, primarily from these, the estimated model variables were analyzed so that the measured steady state measured value in the normal operating state of the charger and the steady state estimated value based on the statistical estimation model were close, and the measured value of the steady state and the estimated value based on the estimated model were reliable. The optimal estimation model parameters and environmental factor variances are selected within the possible range, and secondarily , the estimated and measured values are changed beyond the critical range by constantly monitoring the selected estimated model and environmental factor parameters and weights. In the event of an abnormal condition, it has an analysis procedure that analyzes the cause, analyzes whether an abnormality is caused by an external factor or an abnormality caused by an internal factor of the charger (abnormal operation or error of the charger), and predicts a failure or accident in advance. , In the analysis of abnormal conditions of the charger, the time series change according to the time trend of the charger can be tracked, and the charger operation rules are updated by analyzing the relationship between the charger and internal and external environmental factors, and a precise analysis is performed based on the operation rules. We intend to provide a system that enables stable operational state management.

In order to achieve the above object, the present invention discloses a system and method for optimizing operation of an electric vehicle charger.

As an example of an electric vehicle charger operation optimization system and design method according to the present invention, the electric vehicle charger operation optimization system includes an electric vehicle; Electric vehicle charger; Charger control unit; Charger sensor management unit; Charger communication control unit; Short-range wireless communication means; Charging customer mobile communication devices; Public network; Electric vehicle charger central server system; DB management server; Manager terminal and smart terminal; Charger central server management unit; Consists of including.

The electric vehicle is a vehicle that drives the electric energy of a rechargeable battery as a power source, and includes a low-speed electric vehicle, an electric vehicle, an online electric vehicle, a plug-in hybrid electric vehicle, etc., and these electric vehicles include CAN (Controller Area Network, vehicle communication network) and rechargeable battery management. Equipped with a system, command signals and data are exchanged during charging and discharging and during operation, and PLC (Power Line Communication) communication functions are also possible.

The charger includes a sensor unit and a communication unit, and the sensor unit is composed of a charger sensor management unit, a charger internal/external sensor module, and a sensor module expansion port. Data received from all sensor modules existing in the charger are processed into packets. It is transmitted to the charger central server system through the charger communication unit. The charger communication control unit is a component that transmits information of the charger to the central server system through internal communication modules (M2M communication module, short-range wireless communication means, etc.).

In addition, the charger communication control unit is a component belonging to the communication unit of the charger. If a failure occurs in the communication channel between the charger and the electric vehicle charger central server system, the charger checks whether there is an error in the M2M communication module. The central server system operates the short-range wireless communication function of the communication unit (Bluetooth, NFC, short-range wireless communication function having a communication radius of a pico cell/femto cell level), and through a charging customer mobile communication device (smart device) It is possible to control the charger communication unit to form a communication channel with.

The mobile communication device of the charging customer is a personal mobile terminal and is a smart device capable of forming a data communication channel through each mobile communication company's data communication network (3G, 4G, LTE data communication network), and has a short-range wireless communication channel formation function, allowing communication with the charger. And information exchanged through a communication channel formed by a short-range wireless communication means (Bluetooth, NFC, a short-range wireless communication function having a communication radius of a pico cell/femto cell level) embedded in the charger and the charging customer's mobile communication device. A communication channel can be formed so as to be able to transmit/receive to the central server system of an electric vehicle charger by connecting to the mobile communication company's data communication network.

The charger is connected to the electric vehicle during charging to perform communication, and the charger communication unit including the M2M communication module and the central server connected to the electric vehicle charger central server system through a public communication network, a payment service operator server, a power service operator server, and a charger It communicates with the user's mobile communication device through a two-way communication channel to transmit and receive management information of electric vehicles and chargers, exchanges various billing and payment information and charging status information according to the amount of charge with the central server of the central server system, and transmits them to the charger through CAN with the electric vehicle The vehicle information is also transmitted to the central server.

In addition, the electric vehicle charger is equipped with an M2M communication module and exchanges various data (data for payment, operation, management, etc.) through a communication channel with the central server for usage fee collection and management. It communicates with the central server, or it communicates with the central server through a wired communication network through a gateway near the charger with built-in WiFi, and sometimes it uses both methods to communicate.

The M2M communication module of the charger communication unit forms a communication channel through various public networks (public data networks such as the Internet, TRS network, etc.) through a commercial wired or wireless communication network of a communication service provider paying communication fees, so that the charger and the central server provide a two-way communication channel. It may be configured to have, and a communication channel may be formed through a public network through WiFi wireless LAN.

The charger central server system, a core component of the EV charger operation optimization system, performs billing (including weighing), monitors and maintains the charger status, and predicts operational management elements (charging demand, failure) based on remote control and database analysis information. do. Operation modes include a remote management mode by a central server and a charger terminal mode by the charger's own terminal.

The central server system configuration required for optimizing the operation of electric vehicle chargers can be directly connected to the central server through the charger terminal at the on-site charger to provide a function to check detailed information and take action on the site. The server can remotely engage in and control the operation of all chargers installed in various places, and perform a remote management function that manages customer and vehicle information.

The charger central server system has application layer functions such as authentication, payment, billing, metering, charger status and additional service provision, database information analysis, etc., and a distribution network that is connected to and supplies power through a communication module with chargers and electric vehicles. It can be managed by linking with it, and it is configured to perform customer charging usage information management, charger operation management, maintenance, metering, and billing.

In the charger central server system, it is possible to diagnose and analyze the charger status based on the sensor information collected from each sensor unit of the charger and the operation data of each charger.The charging status information includes the charging stage, charging mode, charging demand, charging voltage and current, It includes battery SOC, fault information, etc., and diagnoses fuse, component temperature and fault, and fault of BMS (Battery Management System). In addition, data such as payment method, accumulated charging time, charging charge and charging power are also analyzed.

The communication procedure between the operating system central server and the charger is mutually authenticated by the charger request packet, and the communication connection is established after approval of the central server system. When the charger requests communication to the central server, if the server does not respond, it is re-requested, and data is provided by the charger at the request of the server, and the charger status information or event information is unilaterally provided by the charger regardless of the request from the server. do. Charger data is divided into header, data, CRC, etc. In particular, charger history data is provided by the charger at the request of the server, and usually one history data has 53~62Byte.

The present invention proposes a new data management configuration for collecting/processing a huge amount of data generated by each sensor for each charger in real time. In particular, it is possible to manage/operate and service chargers by secondarily extracting the correlation between data from the data of real-time mass charger operation and environment information collected by using big data analysis technology using open source and cloud-based environment and converting data into a database. By discovering new factors for improvement, charger management/operation and customer service will be efficiently improved.

In the present invention, the remote management system for electric vehicle chargers including the charger central server system that manages and monitors each charger is based on IoT by fusion of developed IT technology, sensor technology, network and wireless communication technology and control function to a commercial charging infrastructure that is basically built. We present a remote monitoring technology combined with technology. Therefore, the technical configuration of the present invention enables various charger supplementary services as well as prediction of charger demand for electric vehicle chargers, and furthermore, it is possible to efficiently manage chargers distributed in each region, and improve charger management efficiency through real-time wired/wireless two-way digital network. It is possible to dramatically improve the operational stability of chargers and chargers, thereby contributing to stable power supply throughout society by optimizing not only the energy consumption efficiency of electric vehicle chargers, but also power demand and supply.

While the advantages of electric vehicles are currently accepted and understood in many areas, many problems derived from the efficiency and safety of the charger infrastructure are revealed more slowly than the speed at which electric vehicles are spread in our lives. Problems caused by various electric vehicle chargers may ultimately result in problems of electric vehicles, and thus may not meet the expected benefits of electric vehicles as originally expected by consumers.

In addition, as chargers become more popular, charger status information and management information generated by each charger will be generated in an enormous amount, leaving a huge amount of processing tasks. For example, if real-time status information, environmental information, and sensor information generated by charger devices scattered across the country reach at least 1 byte per second, the amount generated per day per charger is 10 x 3,600 x 24 (=864 MByte). ), so if more than 5,000 chargers occur every day (about 5,000 GByte), it will be a huge amount when it reaches the central server that monitors them simultaneously. The various information of the electric vehicle charger must be efficiently utilized through a new property called visualization, along with the big data 3V properties of volume, velocity, and variety, to make the charger operation efficient.

Accordingly, it is an object of the present invention to efficiently process enormous problematic information, convert it into useful information, predict the evolution of the charger infrastructure therefrom, and construct an effective and optimized charger operating environment according to the predicted result.

For example, operation error or leakage fault detection of charger facilities, and periodic inspection information of chargers are estimates of operation rules through correlation analysis between charger data accumulated over many years and determine whether real-time data matches the estimated operation rules. . In addition, the prediction of charging demand of charger consumers is a process of estimating the consumption model through analysis of consumption behavior of electric vehicle customers and solving the optimization problem through this. These data analyzes have been difficult to perform in the past, but can be extracted by collecting data in the charger central server system and analyzing the correlation between these data as in the configuration of the present invention.

Accordingly, the configuration of the present invention is intended to present a configuration optimized for efficient operation of chargers by utilizing the 3V property of big data of charging infrastructures. To this end, the configuration of the present invention includes various sensors installed in the charger, internal and external information processing components and communication modules, a charger central server system that collects information of distributed chargers, a database analysis processing that analyzes these big data inside the charger central server system. The system consists of a manager terminal and a database that outputs the analyzed result data to the manager and each charging service provider terminal and stores it in the database.

Each charger generates real-time charger status information, various sensor information, customer information, and user information, along with location-based information generated from GPS sensors, and is transmitted to the central server system, and the collected large-scale information is stored in the database and then saved as big data. It is analyzed and managed through technology.

Possible statistical analysis methods include exponential weighting method, nonparametric function estimation methodology, and regression model based on external environmental factors.

External environmental factors that affect the operation of commercial chargers include temperature inside and outside the charger including time and location, humidity, wind speed, fine dust, CO ₂ concentration, ozone content, and vibration. In addition to these various environmental factors, the location of the charger installation (around the road, around the substation, residential area, apartment underground parking lot, etc.), the number of customers using the charger, the frequency of use, the type of charging vehicle, and the climate of the installation location can be included as external factors. Environmental factors can be further added/deleted/changed according to charger operation.

When data of all possible factors that may affect the charger operation are collected from sensors for a certain collection time period, the correlation between external environmental factors and charger management operation can be estimated.

In addition, the charger consumption prediction service can extract the correlation prediction model coefficient by selecting the most useful prediction model that can extract the correlation between time and usage change. For example, as a statistical estimation method that uses external temperature and charger usage as variables, it is possible to predict the estimation curve using various spline techniques as a correlation analysis or regression analysis method, and multi-faceted prediction using a combination of various statistical analysis techniques. You can also set the model.

Comparing the predicted estimate and the real-time measured values, and from these, firstly, the measured value of the steady-state analyzes the estimated model parameters a steady state estimate of the statistical estimation model and the steady state measured value that is measured when the normal operation of the charger to approach and is to select the optimum estimated model parameters and environmental factors variance within a range estimate is reliable due to the estimation model, a secondary as is the by constant monitoring using the estimated model selection estimates and the measured value is above the critical range In the event of an abnormal condition that changes, the cause is analyzed, whether it is an abnormality caused by an external factor or an abnormality caused by an internal factor of the charger (abnormal operation or error of the charger), and an analysis procedure to predict a failure or accident in advance is operated. It is to be.

In the abnormal condition analysis of the charger, changes according to the time change of the charger can be tracked, and the charger operation rules are updated by analyzing the relationship between the charger and the internal and external environmental factors, and a more stable operation is performed by performing a precise analysis based on the operation rules. Enables state management.

For example, in the summer in an area with high temperature, humidity, and long rainy season, by analyzing the correlation between external temperature and humidity environment and voltage change based on the number of customers and charging usage of the charger, and analyzing the number of failures and failures, the temperature and humidity of the area to be installed in the future In areas where the environmental conditions are similar to that of the charger, the standard for the environmental tolerance of the internal parts of the charger is adjusted, and the predicted frequency of failure occurrence and the time interval between failures are predicted for operation, and the part where the failure occurs before the average failure interval time. It is to be able to inspect and replace parts. In other words, the rate of occurrence of charger failure by each environmental factor such as the rate of failure due to external temperature and humidity and the rate of occurrence of vibration is measured, and accordingly, the frequency of failure and the type of failure of each charger component affected by the contribution rate of environmental factors are correlated. As it becomes predictable through analysis, in the end, vulnerable parts for each external environmental factor are calculated, and management plans such as improvement items and replacement parts inventory management for each vulnerable part are derived, and accordingly, the operation method or parts management method This is improved and the charger operation can also proceed smoothly.

In addition, because not only the time-series environmental change factors but also the change factors characteristic of each location are grouped and monitored, it is possible to separately analyze the causes of failures that frequently occur only in a specific area, and the status of chargers such as changes in operations and failures in such areas. You will be able to capture changes.

Therefore, the configuration of the present invention, firstly, when the steady-state charger operating state is characterized by the data mining techniques set of steady-state analysis model, followed by a secondary generate big data by storing the data in the abnormal case in the database And, by extracting the relationship between environmental factors in these abnormal cases by mining technique and presenting the result as a graph, we predict the number of all possible abnormal cases, predict the probability of occurrence of abnormal cases that occur in the future, and actually abnormal cases. When an event occurs, the cause of the occurrence is presented, and various management methods and operational measures to return to the normal state are presented.

Based on the data extracted from the database, it is possible to change the charging rates by time (change charging rates by time, such as late-night electricity rates) by real-time prediction of charging demand of charger customers and by forecasting demand by time, and charging information for charger customers in real time. A service that feeds back the results of service and consumption behavior pattern analysis, and predicts abnormality and fault diagnosis for each internal part of a charger by tracking changes in charging power through real-time correlation analysis between real-time charging consumption by charger and internal and external environmental factors by charger. Based on the observation of the correlation between service, charger power demand by time and power supply from power supply companies, efficient power supply management at the national level will be possible, linked with the smart grid power supply system (supply management server) of the power supply company.

Therefore, in the present invention, when electric vehicles are commercialized in our lives, the demand for chargers increases explosively, and accordingly, when numerous chargers are installed and operated, a huge amount of charger information generated from each charger is collected in real time and systematically collected as big data. , In order to effectively operate the collected big data, an information extraction system was presented, and the extracted information is based on the operation purpose, charger operation and management, installation basic data for each charger facility environment, charger demand customer management and consumption behavior pattern analysis feedback, power A variety of new and comprehensive charger operation and management systems, such as the development of secondary management services by linking servers with suppliers and charger payment companies, will be constructed.

The charger real-time information collected by the present invention can be analyzed in various forms, as well as the collection information according to the addition/deletion/change of the collection sensor can be changed as needed, so that more types of data analysis can be attempted. It is possible to secure a comprehensive operation and management monitoring system of innovative electric vehicle chargers that coexist with the new IoT system, rather than simply operating the charger itself.

The charger remote diagnosis/analysis system server screen is a block that can view the status information of each charger, operation status information and charger management of each charger, member, charger sensor data, unit price management and charger control, communication management, etc. There is a select button. The analysis/diagnosis system can be implemented on a web basis, and various information can be analyzed using various graphic tools or analysis functions.

The management software through the user terminal of the central charger server can have the following screen menu. In other words, (1) In the startup screen, ① administrator authentication ② central server login screen is configured, and (2) in the charger management mode, through the menu screen ① configuration menu (initial setting value, etc.) ② charger management menu (charger unique identification address , Charger management setting information input, charging status, power metering, failure, environment and sensor status, etc.) ③Customer management menu (billing, consumption behavior, accumulated usage, etc.), ④ Communication service provider menu (server connection status, communication billing, security status) Etc.) ⑤ Power supplier (power supply and demand status) ⑥ Database management menu (input statistical variables such as weights according to estimated variables of each database) is displayed, and (3) real-time status monitoring of charger and control screen in remote control mode (4) In charger remote control mode, after logging in through ① administrator authentication ② central server login procedure ③ each charger status display menu ④ failure status status menu ⑤ charger remote control menu The configured screen display procedure can be performed.

According to the present invention as described above, the internal and external environmental factors important for the operation of the electric vehicle charger are converted into variables, and various sensor measurement information inside and outside the charger corresponding to these variables is collected by the charger central server system and built into a relational database. As various environmental factors inside and outside the charger, it is possible to grasp what information is necessary for actual operation of the charger, and based on this, a suitable charger model (model) can be selected and installed so that the charger to be installed in the future can be optimized in various environments. After installation, the operating efficiency of the charger is maximized by controlling and monitoring environmental variables inside and outside the charger by the operation optimization system of the present invention.

In addition, by analyzing and processing a huge amount of status and management information generated in each charger according to the present invention by correlation and regression analysis by statistical method, secondary information required for charger operation is extracted, and charger management/operation and additional services and It is used as efficient estimation information for improving customer service and managing charger failure.

1 is a block diagram of a general electric vehicle charging infrastructure.
2 is a schematic configuration diagram of a conventional electric vehicle charging infrastructure operating system.
3A is a block diagram of a system for optimizing operation of an electric vehicle charger according to an embodiment of the present invention.
3B is a block diagram of a charger for an operation optimization system for an electric vehicle charger according to an embodiment of the present invention.
3C is a block diagram of an MMI server of an EV charger operation optimization system according to an embodiment of the present invention.
4 is a detailed configuration diagram of an EV charger operation optimization system according to an embodiment of the present invention.
5 is a block diagram of a system for optimizing operation of an electric vehicle charger according to another embodiment of the present invention.
6 is a flowchart of an MMI server menu display procedure according to the present invention.

Hereinafter, a configuration according to a preferred embodiment of the present invention will be described in detail with reference to the accompanying drawings.

The present invention may have various embodiments, including one embodiment, and specific embodiments are presented in the drawings or detailed description, but are not limited thereto, and all equivalent to equivalent technical scopes included in the technical idea of the present invention It should be viewed as including.

In the present specification, in order to clearly explain the technical idea of the present invention, a system and method for optimizing the operation of a charger for charging an electric vehicle battery for charging an electric vehicle, comprising: an electric vehicle charger; Charger central server system; communications network; User terminal; Manager terminal; The configuration of a system and method for optimizing the operation of electric vehicle chargers consisting of an external interlocking server will be described.

1 is a schematic configuration diagram of an electric vehicle charger according to the prior art, in which each charger 2 and 3 transmits information to an electric vehicle charging infrastructure information system 5 through a communication network 4.

2 is a basic configuration of a conventional charger operating system, various chargers 31, payment servers, authentication servers, various external interlocking servers 61 such as a customer management server and a power supplier server, and a charging infrastructure server 512 for managing the charger. , And various additional services 513, such as mobile services, web services, and customer portal services.

The charger operating system software communicates data input from the charger hardware configurations to the operating system platform through network equipment using standard protocols, and provides additional services through mobile terminals, PCs and web services as the main functions of the charger operating system. To this end, it communicates with an external linking server to collect various information such as billing and authentication, and provides services.

Figure 3a is a configuration diagram of an EV charger operation optimization system according to an embodiment of the present invention, an electric vehicle charger 12, a communication network 13, an electric vehicle charger central server system 14, user terminals 1 to t1 (16), a manager It is composed of terminals 1 to t2 (17) and external interlocking servers 1 to s (18), and is a configuration for optimizing the operation of the charger.

In more detail, the system configuration for optimizing the operation of the charger for charging the battery of the electric vehicle includes a charger communication unit 121 including all communication modules of the charger including all sensor modules inside and outside the charger, and a charger sensor unit ( 122), a charger 12 including a charging unit 123 for charging a battery of an electric vehicle; Wired and wireless communication network 13; An electric vehicle charger central server system 14 for monitoring the operation and management status of the electric vehicle charger; A user terminal unit 16 and an administrator terminal unit 17; It is configured to include; an external connection server unit 18;

The charger 12 includes a communication control unit 1211 for checking the state of the charger communication unit and forming a communication channel to control communication between the charger and an external device; Including; a sensor management unit 1221 for managing the sensor modules of the sensor unit 122 and transmitting information received from the sensor module to the charger central server system through the charger communication unit,

The wired and wireless communication network 13 includes a public wired and wireless communication network, an Internet network, and a TRS network;

The electric vehicle charger central server system 14 includes a communication server 141, a DBMS server 142 and a database 1421, an MMI server 143, a statistical analysis server 144, and an external interface unit 145;

The user terminal unit 16, the manager terminal unit 17, and the external interworking server unit 18 are respectively connected through a wired/wireless communication network 13;

The charging and management status data (location, charger operation/management status, communication channel status, etc.) of the charger is transmitted to the charger central server system through the M2M communication module 1212 of the charger and the communication server 141 of the charger central server system. It is stored in the database 1421 of the charger and analyzed by the statistical analysis server 144 of the charger central server system, and the MMI server 143 and the user terminal 16 and the manager terminal 17 of the charger central server system ), the status of the charger is monitored, the charger management program is maintained and updated to operate and manage the charger, and the external interlocking server 18 and the communication network 13 such as the power service operator server, payment service operator server, and the Ministry of Environment server. ), the charger information is linked and managed to form an EV charger operation optimization system.

The DBMS server of the charger central server system stores various information (including charger sensor information, customer information, and billing information) transmitted from the charger in the database and manages the stored database and database information;

The MMI server of the charger central server system manages the analysis result and menu, and when the administrator remotely controls the charger according to the analysis result and information through the user terminal, the remote control information input to the user terminal is transferred to the charger central server. It is transferred to the system and remotely controls and manages the electric vehicle charger from the charger central server user terminal by the charger remote control procedure and remote control information transmission procedure of the charger central server;

The statistical analysis server of the charger central server system statistically analyzes database information,

The user terminal and the manager terminal include smart devices, notebook computers, desktop PCs, various data display devices, and large screens;

The charger status information (charger status information including each sensor information), customer information, and billing information generated from the charger are stored in the database in a form in which each information is set according to an interval set by the charger central server system, Stored data is managed in the DBMS server by database management procedures, and each database is analyzed by various analysis procedures in the statistical analysis server, but the analysis procedures include time-series analysis and statistical analysis (including correlation and regression analysis). ), and the analyzed result information is displayed as a user terminal or an administrator terminal through the MMI server 143.

3B is a detailed configuration of a charger among the charger operation optimization configurations of FIG. 3A, and is composed of a communication unit 121, a sensor unit 122, and a charging unit 123, wherein the communication control unit 1211 of the charger communication unit 121 controls M2M communication module 1212 for performing communication by forming a communication channel between the charger 12 and an external device through; A short-range wireless communication means (1213) for forming a communication channel with a short-range wireless communication means of a charger and an external mobile communication device through the control of the controller; The M2M communication module 1212 of the charger is connected to a public communication network through a wired/wireless communication network or a WiFi wireless communication network of a communication service provider to enable communication with the electric vehicle charger central server system 14; The short-range wireless communication means 1213 includes Bluetooth, Zigbee, and NFC communication.

As shown in FIG. 3B, the sensor unit 122 of the electric vehicle charger includes a sensor management unit 1221, all sensor modules 1 to m (1222) inside the charger, all sensor modules 1 to n (1223) outside, and additional sensors. It consists of an expansion port 1 ~ p (1224) for, and the communication unit 121 is composed of a communication control unit 1211, M2M communication module 1212, short-range wireless communication means 1213, the charger sensor unit 122 The sensor module 1222 of may include a sensor module capable of measuring temperature, humidity, vibration, dust, electromagnetic waves, and voltage drop.

Figure 3c is a detailed configuration for the charger MMI server 143 procedure (menu) of Figure 3a, login (1431), member management (1432), operation management (1433), map management (1434), maintenance management (1434) , Charger management (1434), failure management (1434), and statistics management (1434).

As shown in FIG. 3C, the MMI server 143 is a menu displayed through the user terminal 16 and the manager terminal 17, and the access history (login) management (1431), member management (1432), and operation management (1433) ), map management (1434), maintenance management (1434), charger management (1434), fault management (1434), statistics management (1434), some or all of the display procedures may be selectively included.

All the procedures (menus) of the MMI server 143 include all real-time status information collected by the charger central server system through a menu that displays all menu information in real time through the user terminal 16 and the manager terminal 17. A display procedure may be further included as an additional menu, and a configuration capable of real-time control through various data display devices and a large screen may be additionally included.

In all the procedures (menus) of the MMI server 143, additional chargers can be added to remotely control all chargers through the user terminal 16 and the manager terminal 17 and switch to a remote control mode displaying the status. It may include a remote control menu, and the charger remote control procedure is transmitted to the charger central server system through the communication network 13 by inputting remote control information through a user terminal or an administrator terminal, and the charger remote control of the MMI server of the charger central server system. Each electric vehicle charger connected to the communication network by the control procedure and the remote control information transmission procedure can be included as a procedural configuration that remotely controls and manages from the user terminal or the administrator terminal of the central server system of the charger.

In the procedure for managing and displaying the connection history 1431, the history information of each charger 12, the user, the administrator, and the external interlocking servers connected to the charger central server system 14 is stored in the database 1421 of the charger central server system or related. It is collected from the access history file and displayed through the user terminal 16 and the manager terminal 17,

The member management 1432 display procedure includes all member identification information accessible to the charger central server system, including each charger, charging customer, external interlocking server, charger central server system users and administrators, in the database of the charger central server system. It is stored and displayed through the user terminal and the administrator terminal according to the information management access level of the user and the administrator.

The operation management (1433) display procedure displays information on billing and power demand/supply from the status information of each charger collected in the database 1421 of the charger central server system, and various types required for operation of the charger central server system. This is a procedure in which the set value is input and modified and displayed through the user terminal 16 and the manager terminal 17,

In the display procedure of the map management 1434, the location-related status information of each charger stored in the database 1421 of the charger central server system is displayed, and information in which location information and other information are interlocked and managed is the user terminal 16 and the manager terminal. It is a procedure indicated through (17),

The maintenance management (1435) display procedure is a procedure in which status information related to maintenance of each charger stored in the database 1421 of the charger central server system is displayed through the user terminal 16 and the manager terminal 17. ,

The charger management (1436) display procedure displays the status management information of each charger stored in the database 1421 of the charger central server system, and the charger status information is managed in conjunction with maintenance and failure information, so that the user terminal 16 and the manager It is a procedure displayed through the terminal 17,

The fault management 1437 display procedure displays fault information of each charger stored in the database 1421 of the charger central server system, and is managed in conjunction with the operation management, maintenance, and charger management information, so that the user terminal 16 and the administrator It is a procedure to be displayed through the terminal 17,

The statistics management (1438) display procedure includes all statistical information on the sensor information, operation information, maintenance, and failure of each charger stored in the database 1421 of the charger central server system, and thus the user terminal 16 and the manager terminal (17) constitute the procedure indicated through.

In addition, the operation management (1433) display procedure may include various setting value menus required for operation of the charger central server system, and each setting value menu includes a collection interval for each charger information, each charger for normal operation and safety operation. Input the threshold of the status information of the charger,

The set value menu includes a menu including some of the charger remote control procedure, the charger critical state warning display procedure, and the charger automatic stop procedure as a response procedure in case a dangerous state that deviates from the safety operation threshold occurs according to the set value. Configurable.

The charger remote control procedure may include a control procedure for remotely stopping the charger operation, and when a risk condition exceeding the above-mentioned threshold value occurs due to the charger operation stop control procedure, the charger central server system 14 As such, it may include a procedure to arbitrarily stop the charger in a dangerous state.

The charger critical status warning display procedure monitors the charger status information collected by the charger central server system, and outputs a warning status message to the user terminal or the administrator terminal when the charger status information is out of the preset normal operation threshold range, and each charger It may include a procedure for displaying state data and presenting measures to restore the charger to a stable state based on the result of database analysis.

The charger auto-stop procedure monitors the charger status information collected by the charger central server system, and if the charger status information is out of the preset safe operation threshold range, a danger status message is output to the user terminal or the administrator terminal, It includes a procedure to automatically shut down the dangerous charger from the central server system remotely according to the previously entered charger shutdown procedure without a control procedure, but display the charger shutdown progress and cause analysis information to the user terminal or the administrator terminal. It can be configured.

The statistical analysis server 144 sets a class according to the charger installation environment in order to statistically analyze the stored database 1421 information of the charger central server system, and the weight for each environmental factor according to the class of each charger installation environment Including a procedure for inputting in the setting value menu of the MMI server;

In the environment-specific class, some or all of the climate environment class, earthquake environment class, road-proximal environment class, electric environment class, noise environment class, and electromagnetic environment class are selectively included,

The weight for each environmental element for each environment class is set differently in the setting value menu to calculate the final environmental element contribution for each class, so that the correlation between the environmental element contribution and the charger status information is statistically calculated. The statistical analysis result may be displayed and managed through the statistics management menu of the MMI server.

As an example, the contribution weight for climate, earthquake, electromagnetic wave environmental factors (climate factors (temperature and humidity), location factors (city, roadside), vibration, dust, electromagnetic waves, power quality) for each environment class An example of calculating the environmental contribution for each class is shown as a table below.

class
Classification Weight by environmental factor of each class climate
class climate
Element vibration Dust Electromagnetic Power quality Contribution
sub Total Temperature Humidity 25% 25% 20% 5% 5% 20% 100% Earthquake
class climate
Element vibration Dust Electromagnetic Power quality Contribution
sub Total Temperature Humidity 25% 25% 30% 3% 2% 15% 100% Electromagnetic
class location
Element vibration Dust Electromagnetic Power quality Contribution
sub Total Roadside Downtown 20% 30% 5% 5% 30% 10% 100%

The contribution to each environment (climate such as temperature and humidity, location of charger installation, vibration, dust, electromagnetic waves, power quality) can be reclassified in detail. For example, in the case of power quality factors, voltage, current, frequency, wave power, active power, reactive power, power factor, and harmonics can be set as detailed power quality factors as factors for determining power quality, and annual average precipitation and snowfall as climate factors. , The annual average temperature can be set as a detailed factor, and as location factors, earthquake areas such as coastal areas, coastal road areas, and Pacific Rim, desert areas, rainforest areas, and cold regions can be set as detailed factors. , Morning, afternoon, and holiday may be set as detailed elements, and the weight for each detailed element may include a procedure of inputting from the setting value menu of the MMI server.

In the database management menu of the (8) statistical analysis menu of the MMI server menu of FIG. 3C (input statistical variables such as weights according to estimated variances for each database), classes are determined according to the charger installation environment, and environmental factors according to each environment class. Enter the weight in the setting value menu, and the environment class is an environmental class for each major factor according to various installation environments, such as climate environment class, earthquake environment class, road-adjacent environment class, electric environment class, noise environment class, and electromagnetic environment class. May be specified, and a procedure for calculating the contribution of the final environmental element for each class by differently setting the contribution weight for each environmental element for each environmental class in the setting value menu, and the environmental element contribution and charger status information By statistically calculating the correlation with, and adapting the state of the charger while changing the environmental factor contribution weight so that the calculated statistical estimate approximates the measured value of the steady state, finally the correlation between the measured value of the steady state of the charger and the statistical estimate The procedure of extracting the optimized estimation model statistical function parameters by allowing the estimation model with the highest coefficient to be extracted. When installing a charger, the optimal charger estimation model classified (classified) according to the surrounding environmental factors By applying it, since the operating state of the charger is predicted in advance, a charger operation optimization system that can be operated efficiently is implemented.

4 shows a detailed configuration diagram of FIG. 3A, wherein the sensor unit 122 inside the charger includes a sensor module capable of measuring temperature, humidity, vibration, dust, electromagnetic waves, and voltage drop, and received from each sensor module. The information is transmitted to the charger central server system 14 through the communication control unit 1211 under the control of the sensor management unit 1221. In addition, the M2M communication module 1212 of the communication unit checks the state of the communication modules and communicates between the charger and the external device through the control of the communication control unit so that the communication module (or communication server) of the charger and the external device communicates through the communication network 13 Channels are formed.

5 is a configuration diagram of an electric vehicle charger operation optimization system according to another embodiment of the present invention, wherein an electric vehicle charger 22, a communication network 23, an electric vehicle charger central server system 24, a charging customer through a local area network 231 Mobile communication terminal (25), charging customer mobile carrier payment server (281), power service operator server (282), external connection server 1 to s (283), user terminal 1 to t1 (26), manager terminal 1 to t2 This is a configuration for optimizing the operation of the charger, including (27).

5 is a mobile communication terminal of a charging customer having a function of forming a short-range wireless communication channel with a short-range wireless communication means of the charger in the configuration of FIG. 3A; The external interlocking servers further include a mobile communication company payment server of a charging customer and a power service operator server, and the M2M communication module of the charger is connected to a public communication network through a wired/wireless communication network or a WiFi wireless communication network of a communication service provider, and the electric vehicle charger central server Enable communication with the system; The short-range wireless communication means includes Bluetooth, Zigbee, and NFC communication, and the communication unit of the charger forms a short-range wireless communication channel with the mobile communication terminal of the charging customer, and is connected to the payment server of the mobile communication company of the charging customer, and the charger center The server system is a component that manages payment information through interworking with a server of a payment service operator such as a payment server of a mobile communication company of a charging customer and a mobile communication device of a charging customer.

6 is a flow chart showing a menu on the screen of the user terminal 16 and the manager terminal 17 by the MMI server 143. When a user (including an administrator) logs in through the initial screen (S1), the MMI main A menu (main menu including some or all of the login, member management, operation management, map management, maintenance management, charger management, failure management, and statistics management menu) is displayed on the screen (S2), and the user selects the main menu. After selecting (S3) the main menu, related sub-menus are displayed (S4), and if the user selects the sub-menu (S5), the MMI server performs the selected sub-menu function (S6) and logs in by the user's selection (S7). It maintains the state or returns to the initial MMI screen.

The menu displayed on the screens of the user terminal 16 and the manager terminal 17 by the MMI server 143 is

(1) In the login menu, the history information of the charger, the user, the administrator, and the external connection server accessing the charger central server system is collected, displayed, and managed from the database of the charger central server system or a related connection history file.

(2) In the member management menu, all member information accessible to the charger central server system, including the charger, charging customer, external connection server, charger central server system users and administrators (customer management information, billing, consumption behavior, accumulated usage, Alternatively, some or all of external member information such as communication service provider or power supplier may be included) in the database of the charger central server system, and display and manage to users and administrators at a level suitable for management authority,

(3) In the operation management menu, the configuration menu (initial setting value, etc.) displays information on billing, power demand and supply from the status information of each charger collected in the database of the charger central server system, and the charger central server system Display, input, and modify operation settings, including the charger central server system setting value menu, the collection interval for each charger information, and status information of each charger for normal operation and safe operation of each charger May include a procedure for entering a threshold value,

The setting value management menu related to the central server system operation of the charger is a response procedure in case a risk condition exceeding the safety operation threshold value occurs according to the setting value: ① remote control procedure for charger, ② warning display procedure for critical condition of charger, and ③ charger. It may include a menu that includes some or all of the automatic stop procedures,

(4) In the map management menu, status information related to the location of each charger is displayed, and the related information is displayed and managed to enable interlocking management.

(5) In the maintenance management menu, the status information related to maintenance of each charger stored in the database of the charger central server system is displayed and managed.

(6) The charger management menu includes the charger management menu (charger unique identification address, charger management setting information input, charging status, power metering, fault, environment and sensor status, etc.), and status management information and maintenance of each charger. The charger status management information linked to the fault information is displayed and managed,

(7) In the fault management menu, fault information of each charger and charger fault management information linked to operation, maintenance and charger management information is displayed and managed.

(8) In the statistics management menu, sensor information and operation information, maintenance information, failure information, management information, customer management information (billing, consumption behavior, accumulated usage, etc.) of each charger, communication service provider information (server connection status, communication billing, etc.) , Security status, etc.), and display and manage statistical information of information including some or all of power supplier information (power supply and demand status), and database management menu (enter statistical variables such as weights according to estimated variance for each database) It may include.

1: Electric vehicle 2: Electric vehicle quick charger
3: electric vehicle slow charger 4: communication network
5: electric vehicle charging infrastructure information system 6: power supply facility
31: electric vehicle charger 41: communication network
51: electric vehicle charging infrastructure operating system 61: external interlocking server
511: charger data processing system 512: charging infrastructure server
513: Additional services
11: electric car 12: electric car charger
13: Wired and wireless communication network (Internet, TRS network, etc.)
14: Electric vehicle charger central server system
16: user terminal 17: administrator terminal
18: External linking server
121: charger communication unit 122: charger sensor unit
123: charging unit 124: internal communication
1212: M2M communication module
1211: communication control unit 1212: M2M communication module
1213: Short-range wireless communication means
1221: sensor management unit 1222: charger internal sensor module
1223: charger external sensor module 1224: sensor module expansion port
141: communication server 142: DBMS server
143: MMI server 144: statistical analysis server
145: external interface 1421: database
1431: Login 1432: Membership Management
1433: Operation management 1434: Map management
1435: Maintenance management 1436: Charger management
1437: disability management 1438: statistics management
22: electric vehicle charger
23: Wired/wireless communication network (Internet, TRS network, etc.)
24: Electric vehicle charger central server system
26: user terminal 27: administrator terminal
281: Recharge customer mobile communication service payment server
282: Power service operator server
283: Other external interworking server
221: charger communication unit 222: charger sensor unit
223: charging unit
241: communication server 242: DBMS server
243: MMI server 244: statistical analysis server
245: external interface 2421: database

Claims (14)

In the electric vehicle charger operation optimization system for optimizing the operation of the charger for charging the battery of the electric vehicle,
A charger including a charger sensor unit including all sensor modules inside and outside the charger, a charger communication unit including all communication modules of the charger, and a charging unit for charging a battery of an electric vehicle; Electric vehicle charger central server system including DBMS server and database, communication server, MMI server, statistical analysis server, and external interface unit to monitor the operation and management status of electric vehicle charger; A user terminal and an administrator terminal; An external connection server unit; Wired and wireless communication networks consisting of public wired and wireless communication networks, Internet networks, and TRS networks; A sensor management unit for managing sensor modules of the sensor unit according to the charger and transmitting information received from the sensor module to the electric vehicle charger central server system through the charger communication unit; A communication control unit that checks the state of the charger communication unit and forms a communication channel to control communication between the charger and an external device; An M2M communication module configured to perform communication by forming a communication channel between a charger and an external device through the control of the communication control unit; Including; a short-range wireless communication means for forming a communication channel with the short-range wireless communication means of the charger and the external mobile communication device through the control of the communication control unit,
The user terminal unit, the manager terminal unit, and the external interworking server unit are connected through a communication network;
The charging and management status data of the charger is stored in the database of the electric vehicle charger central server system through the M2M communication module of the charger and the communication server of the electric vehicle charger central server system, and by a statistical analysis server of the electric vehicle charger central server system. It is analyzed, and the state of the charger is monitored through the MMI server of the electric vehicle charger central server system, the user terminal, and the manager terminal, the charger management program is maintained and updated to operate and manage the charger, and the power service operator server, payment service. Interlocking and managing charger information through a communication network with an external interworking server including an operating business server and the Ministry of Environment server;
The M2M communication module of the charger is connected to a public communication network through a wired/wireless communication network or a WiFi wireless communication network of a communication service provider to enable communication with the electric vehicle charger central server system;
The DBMS server of the electric vehicle charger central server system stores information (including charger sensor information, customer information, and billing information) transmitted from the charger in the database and manages the stored database and database information;
The statistical analysis server of the electric vehicle charger central server system statistically analyzes database information,
The MMI server of the electric vehicle charger central server system manages the analysis result and menu, and when the administrator remotely controls the charger according to the analysis result and information through the user terminal, the remote control information input to the user terminal is converted to the electric vehicle charger. It is delivered to the central server system to remotely control and manage the electric vehicle charger from the charger central server user terminal by the charger remote control procedure and remote control information transmission procedure of the charger central server;
The charger status information (charger status information including sensor information), customer information, and billing information generated from the charger are stored in the database in a form set according to an interval set by the electric vehicle charger central server system. Data is managed by searching, modifying, and changing by the database management procedure in the DBMS server, and the database is analyzed by the analysis procedure in the statistical analysis server, but the analysis procedure includes both time-series analysis and statistical analysis (including correlation and regression analysis). Includes, and the analyzed result information is displayed to the user terminal and the administrator terminal through the MMI server,
The sensor module of the charger sensor unit includes an external or internal sensor module capable of measuring temperature, humidity, vibration, dust, electromagnetic waves, and voltage drop;
The statistical analysis server sets a class according to the charger installation environment in order to statistically analyze the stored database information (including the charger sensor information) of the electric vehicle charger central server system, and weights each environmental factor according to the class of each installation environment of the charger. Including the procedure of entering in the setting value menu;
In the environment-specific class, some or all of the climate environment class, earthquake environment class, road-proximal environment class, electric environment class, noise environment class, and electromagnetic environment class are selectively included,
In the data extracted from the database, the contribution weights for the environmental factors for each environment class are set differently in the setting value menu to calculate the final environmental factor contribution for each class, so that the correlation between the environmental factor contribution and the charger status information is statistically calculated. To be calculated as,
Real-time charging consumption for each charger and real-time correlation analysis with internal and external environmental factors for each charger, tracking changes in charging power, and predicting service for abnormality and fault diagnosis for each internal part of the charger, and the power demand of the charger by time and the power supplier's Based on the observation result of the correlation between power supply, it is linked with the smart grid power supply system of the power supplier,
Electric vehicle charger operation optimization system that enables secondary management services through server linkage with the above charger demand customer management and consumption behavior pattern analysis feedback, power supply companies and charger payment companies
delete The method of claim 1,
A mobile communication terminal of the charging customer having a function of forming a short-range wireless communication channel with the short-range wireless communication means of the charger;
The external interworking servers include a charging customer's mobile carrier payment server, a power service operator server,
The communication unit of the charger forms a short-range wireless communication channel with the mobile communication terminal of the charging customer and is connected to the payment server of the mobile communication company of the charging customer,
The electric vehicle charger central server system is an electric vehicle charger operation optimization system that manages payment information through interworking with a payment service operator's server including a charging customer's mobile communication company payment server and a charging customer's mobile communication device.
The method of claim 3,
The MMI server of the electric vehicle charger central server system manages the analysis result and menu, and when the administrator remotely controls the charger according to the analysis result and information through the user terminal, the remote control information input to the user terminal is converted to the electric vehicle charger. It is delivered to the central server system to remotely control and manage the electric vehicle charger from the charger central server user terminal by the charger remote control procedure and remote control information transmission procedure of the charger central server;
The charger status information (charger status information including sensor information), customer information, and billing information generated from the charger are stored in the database in a form set according to an interval set by the electric vehicle charger central server system. Data is managed by searching, modifying, and changing by the database management procedure in the DBMS server, and the database is analyzed by the analysis procedure in the statistical analysis server, but the analysis procedure includes both time-series analysis and statistical analysis (including correlation and regression analysis). And the analyzed result information is displayed through the MMI server to the user terminal and the administrator terminal.
According to claim 4
The MMI server is a menu displayed through the user terminal and the administrator terminal, and displays some or all of the procedures for access history (login) management, member management, operation management, map management, maintenance management, charger management, failure management, and statistical management display procedures. Optionally including procedures;
In the connection history management display procedure, the history information of the connection between the charger, the user, the manager, and the external connection server to the electric vehicle charger central server system is collected from the database of the electric vehicle charger central server system or a related connection history file, and the user terminal and the manager terminal To display through,
The member management display procedure stores all member information accessible to the EV charger central server system including chargers, charging customers, external interlocking servers, EV charger central server system users and administrators in the database of the EV charger central server system. It is displayed to the user and administrator through the user terminal and the administrator terminal to the extent suitable for the management authority,
The operation management display procedure displays information on charging and power demand/supply from the status information of the chargers collected in the database of the electric vehicle charger central server system, and inputs and modifies the set values for the operation of the electric vehicle charger central server system. It is a display procedure that is displayed through the user terminal and the administrator terminal so that
The map management display procedure is a display procedure in which status information related to the location of the chargers is displayed and displayed through a user terminal and a manager terminal to enable interlocking management between related information,
The maintenance management display procedure is a display procedure of displaying status information related to maintenance of chargers stored in a database of the electric vehicle charger central server system through a user terminal and an administrator terminal,
The charger management display procedure is a display procedure that displays status management information of chargers stored in the database of the electric vehicle charger central server system and displays them through a user terminal and a manager terminal to enable interlocking management with maintenance and failure information,
The failure management display procedure is a display procedure that displays failure information of chargers stored in the database of the electric vehicle charger central server system and displays them through a user terminal and a manager terminal to enable interlocking management with operation management, maintenance, and charger management information,
The statistics management display procedure is a display procedure of displaying and displaying all statistical information on chargers stored in the database of the central server system for electric vehicle chargers, operation information, maintenance, and failure through a user terminal and a manager terminal to enable management. EV charger operation optimization system with
The method of claim 5
In the operation management display procedure, including the EV charger central server system setting value menu, a collection interval for each information of the charger, and a threshold value of status information of the charger for normal operation and safe operation of the charger are input,
The set value menu includes a control procedure for remotely stopping the charger operation in case of a dangerous state exceeding the safety operation threshold, so that the central server system remotely stops the charger in a dangerous state when the dangerous state occurs. and;
The charger status information collected by the electric vehicle charger central server system is monitored, and if the charger status information is out of the preset normal operating threshold range, a warning status message is output to the user terminal or the administrator terminal, and the charger status data is displayed, so that the charger Suggests measures to restore to a stable state based on the results of database analysis;
The charger status information collected by the central server system of the electric vehicle charger is monitored, and if the charger status information is out of the preset safe operation threshold range, a danger status message is output to the user terminal or the administrator terminal, and at the same time, it Electric vehicle charger operation optimization system that automatically shuts down the dangerous state charger remotely from the central server system according to the input charger shutdown procedure, but displays the charger shutdown progress and cause analysis information on the user terminal or the administrator terminal
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