KR102115478B1 - An Electric Vehicle Charging System Possible of Remote Control Using IoT Network - Google Patents

Abstract

The present invention relates to an electric vehicle charging system, and more specifically, by enabling communication between a charger and a control server using an IoT network, to enable integrated control and remote control for multiple chargers at a low cost, IoT The communication using the network is made by the IoT communication device detachable from the charger, so that the communication environment can be easily upgraded and maintained, and the failure of the charger, prediction of failure, and other abnormal symptoms are recognized. It relates to an electric vehicle charging system having a remote control function using an IoT network to enable quick and efficient management of the charger by making it possible.

Description

An electric vehicle charging system possible of remote control using IoT network

The present invention relates to an electric vehicle charging system, and more specifically, by enabling communication between a charger and a control server using an IoT network, to enable integrated control and remote control for multiple chargers at a low cost, IoT The communication using the network is made by the IoT communication device detachable from the charger, so that the communication environment can be easily upgraded and maintained, and the failure of the charger, prediction of failure, and other abnormal symptoms are recognized. It relates to an electric vehicle charging system having a remote control function using an IoT network to enable quick and efficient management of the charger by making it possible.

In recent years, as part of efforts to reduce environmentally harmful gases, interest in eco-friendly vehicles to replace conventional fossil fuel vehicles has increased.

An electric vehicle, which is one of eco-friendly autonomous vehicles, is a vehicle equipped with a battery capable of charging electricity inside the vehicle and driving the vehicle motor with the power of the electricity charged in the battery.

Just as a conventional fossil fuel vehicle injects fuel in a facility such as a gas station, an electric vehicle also operates by charging electricity to a battery in an electric charging station (eg, a charger).

However, the proportion of electric vehicles has not yet increased significantly compared to fossil fuel vehicles, which is partly due to the lack of charging stations for electric vehicles and the mileage of electric vehicles due to a single charge has not increased significantly. The driver of the electric vehicle is also experiencing difficulties in continuous charging.

In addition, there is no system to manage charging stations or chargers for electric vehicles, so smooth management is not performed, and even insufficient charging stations cannot be used properly due to failure to properly cope with malfunctions, deterioration of chargers, and congested situations. . In addition, in order to manage the charging station or charger, a communication system capable of transmitting and receiving status information is essential. Conventionally, communication costs are excessively imposed by using a modem or an Internet line in a building as in the following patent document. There was a problem in that it was difficult to operate and manage the charging station due to the high cost and time required for management.

(Patent literature)

Registered Patent Publication No. 10-1338003 (Registered on Dec. 02, 2013) "Power line communication modem and power line communication system for charging electric vehicles"

The present invention was made to solve the above problems,

An object of the present invention is to provide an electric vehicle charging system that enables integrated control and remote control of a plurality of chargers at a low cost, and enables easy upgrade and maintenance of a communication environment.

An object of the present invention is to provide an electric vehicle charging system that enables quick and efficient management of a charger.

An object of the present invention is to provide an electric vehicle charging system capable of preventing electric leakage and damage caused by electromagnetic waves in a standby state.

An object of the present invention is to provide an electric vehicle charging system that minimizes inconvenience to users even when a charger failure or the like occurs.

An object of the present invention is to provide an electric vehicle charging system that solves the congestion of the use of the charger and maximizes profits for operating the charging system.

The present invention is implemented by an embodiment having the following configuration in order to achieve the above object.

According to an embodiment of the present invention, the electric vehicle charging system according to the present invention is installed at a certain position to charge the electric vehicle; An IoT communication device coupled to the charger detachably to transmit and receive information wirelessly between the charger and the control server; Includes; a control server to transmit and receive information wirelessly with the IoT communication device to manage the state of the charger and enable remote control. The IoT communication device is characterized in that it transmits and receives information using a dedicated IoT network.

 According to another embodiment of the present invention, in the electric vehicle charging system according to the present invention, the control server includes a charger status monitoring unit for receiving and monitoring information on a charger in real time, and an amount of power supplied to the electric vehicle from the charger. In accordance with the failure detection unit for detecting a failure of the charger, the failure detection unit is a power supply amount receiving module for receiving the power supply from a plurality of chargers, and the power supply adjustment module for adjusting the power supply according to the setting information of each charger, When the calibrated supply amount of each charger is out of a certain range, it includes a charging abnormality detection module that determines that there is an abnormality in the charger, and the charging abnormality detection module calculates the average supply amount by averaging the adjusted power supply amount of each charger A module, a suspect output module that outputs a signal that a failure is suspected when the average supply amount is out of a certain range, and a signal that a suspected failure is output, and a case where the adjusted power supply amount exceeds a certain range of the average supply amount over a certain time Characterized in that it comprises a failure determination module to notify and confirm the failure.

According to another embodiment of the present invention, in the electric vehicle charging system according to the present invention, the control server includes a failure prediction unit that generates a signal that a failure is not detected but the failure is predicted by the failure detection unit, and the failure The prediction unit compares the amount of power supplied from each charger and the amount of power supplied in a steady state to generate a change amount calculation module that calculates a change amount, and generates a prediction signal that a failure occurs within a certain period when the calculated change amount exceeds a set reference value. Characterized in that it comprises a failure prediction generation module.

According to another embodiment of the present invention, in the electric vehicle charging system according to the present invention, the control server analyzes the rate of change of the power supply for a period of time when a signal that a failure is predicted is not output from the failure prediction unit An abnormality recognition unit for generating a signal that there is an abnormality in the charger, and the abnormality recognition unit is configured to determine a change rate by dividing the amount of power supplied from the charger by unit period for a certain period of time, and when the calculated change rate is outside the reference value It characterized in that it comprises an abnormality information generating module for generating a signal that the charger is in a non-normal state.

According to another embodiment of the present invention, in the electric vehicle charging system according to the present invention, the control server includes a standby power monitoring unit that detects an abnormality of a charger in a standby state, and the standby power monitoring unit comprises a power supply amount of the charger. It characterized in that it comprises a standby power supply amount detection module for selecting the power supply amount in the standby state, and a charger error detection module for outputting a charger error signal when the power supply amount in the standby state exceeds a reference value.

According to another embodiment of the present invention, in the electric vehicle charging system according to the present invention, the control server includes an electromagnetic wave monitoring unit for monitoring electromagnetic waves generated by a charger, and the radio wave monitoring unit measures the amount of electromagnetic waves measured from the charger. The electromagnetic wave information receiving module for receiving information about the charging rate adjustment module that lowers the charging speed of the charger when the amount of received electromagnetic waves exceeds a certain value, and the amount of electromagnetic waves does not decrease even when the charging rate is adjusted. It characterized in that it comprises a pause module for temporarily stopping the operation, and a deactivation module for deactivating the charger when the amount of electromagnetic waves generated after a predetermined time has elapsed does not decrease.

According to another embodiment of the present invention, in the electric vehicle charging system according to the present invention, the control server enables charging by the emergency charger by interlocking charging information by the charger with the emergency charger when a failure or inactivation of the charger occurs. It includes an emergency charger interlocking unit, and the emergency charger interlocking unit is connected to a charger search module that searches for an emergency charger around a charger where a failure or deactivation has occurred, and a charging information linking module interlocking the searched emergency charger with charging information currently being charged. And a location information transmission module that transmits the location of the emergency charger to the user.

According to another embodiment of the present invention, in the electric vehicle charging system according to the present invention, the control server includes a charging control unit that controls the operation of the charger according to control by a user terminal, and the charging control unit starts charging It includes a charging start module to stop charging, a charging complete module to end charging, a charging stop module to stop the operation of the charger when a failure or abnormality occurs, and a charging speed setting module to adjust the charging speed when charging, wherein the charging speed setting module includes a charger. It characterized in that it comprises a load information request module for requesting information about the current load state to the connected power supply source, and a charging rate determining module for determining the charging speed according to the load state.

According to another embodiment of the present invention, in the electric vehicle charging system according to the present invention, the control server includes a charging reservation unit to make a reservation for each charger, and the charging reservation unit displays the status of each charger It includes a charger status display module, a charger selection module for selecting a charger to be charged, a reservation time selection module for setting a reservation time of the selected charger, and a unit price display module for displaying the unit price of the selected reservation time, and displaying the unit price. The module is characterized in that the unit price is set and displayed according to the predicted charger usage.

According to another embodiment of the present invention, in the electric vehicle charging system according to the present invention, the control server includes a charger usage prediction unit for predicting charger usage in a specific time period, and the charger usage prediction unit is a neural network for predicting charger usage It includes a neural network construction unit for constructing, an input variable collection unit for collecting input variables necessary for usage prediction, and a usage output unit for inputting the collected input variables to the constructed neural network and outputting charging usage at a specific time period. The construction unit relates to a variable input module for inputting information about the month, day of the week, temperature, weather condition, and time zone as variables of the neural network, a weight setting module for setting an arbitrary weight to the neural network, and power consumption from the neural network according to the set weight. It includes a power consumption output module that outputs information, an error calculation module that calculates an error between the output power consumption and the actual power consumption, and a weight update module that updates the weight until the error falls below a certain range. It is characterized by.

According to another embodiment of the present invention, in the electric vehicle charging system according to the present invention, the charging reservation unit receives a battery information receiving module for receiving information about the user's vehicle battery, and information about the speed of the selected charger It includes a charger information receiving module, an estimated end time calculation module that calculates an estimated end time according to the remaining battery power and the charger speed, and an estimated payment amount display module that calculates and displays the expected payment amount according to the set unit price and the expected end time. It is characterized by.

According to another embodiment of the present invention, in the electric vehicle charging system according to the present invention, the charger status display module displays one of the states of charging, charging, booking, stopping, and checking of each charger. It is characterized by including a possible display module and a possible time display module for displaying a charging end time or an expected end time of each charger when the charger is being charged or reserved.

According to another embodiment of the present invention, in the electric vehicle charging system according to the present invention, the IoT communication device includes a charger connection unit for connecting a charger, a wireless transmission / reception unit for transmitting and receiving information wirelessly with a control server, and a wireless transmission / reception unit. Characterized in that it comprises a frequency band changing unit for changing the frequency band.

According to the present invention, the following effects can be obtained according to the configuration, combination, and use relationship described above with respect to the present embodiment.

The present invention enables communication between the charger and the control server by using the IoT network, thereby enabling integrated control and remote control for multiple chargers at a low cost, and communication using the IoT network is detachable IoT communication to the charger. By being made by the device, there is an effect to facilitate the upgrade and maintenance for the communication environment.

The present invention has an effect of quickly and smoothly managing the charger by enabling recognition of an abnormality that is not a failure, a prediction of a failure, or a failure of the charger.

The present invention has an effect of preventing damage caused by monitoring electric leakage and excessive generation of electromagnetic waves in the standby state.

The present invention has an effect of minimizing user inconvenience by allowing replacement charging to be performed through an emergency charger that can be moved even when a charger failure or the like occurs.

The present invention predicts the usage of the charger at a specific time period and allows the charging unit to be set accordingly, thereby eliminating congestion on the use of the charger and enabling smooth operation, and also maximizing profits for operating the charging system. There is.

1 is a block diagram of an electric vehicle charging system according to an embodiment of the present invention
Figure 2 is a block diagram showing the configuration of the control server of Figure 1
3 is a block diagram showing the configuration of the information registration unit of FIG. 2;
Figure 4 is a block diagram showing the configuration of the real-time monitoring unit of Figure 2
Figure 5 is a block diagram showing the configuration of the charging abnormality detection module of Figure 4
Figure 6 is a block diagram showing the configuration of the standby power monitoring unit of Figure 4
7 is a block diagram showing the configuration of the electromagnetic wave monitoring unit of FIG. 4;
8 is a block diagram showing the configuration of the emergency charger interlocking unit of FIG. 2;
9 is a block diagram showing the configuration of the charging control unit of FIG. 2;
10 is a block diagram showing the configuration of the charging reservation unit of FIG. 2;
11 is a block diagram showing the configuration of the charger usage prediction unit of FIG. 2;
12 is a reference diagram showing an example of a neural network constructed by FIG. 11;
13 is a block diagram showing the configuration of the data collection unit of FIG. 2;
14 is a block diagram showing the configuration of the charger of FIG. 1;
15 is a reference diagram showing an example of a combination of a charger and an IoT communication device.
16 is a block diagram showing the configuration of the IoT communication device of FIG. 1;
17 is a reference diagram showing an example of a mobile charger

Hereinafter, preferred embodiments of an electric vehicle charging system having a remote control function utilizing an IoT network according to the present invention will be described in detail with reference to the accompanying drawings. In the following description of the present invention, when it is determined that a detailed description of known functions or configurations may unnecessarily obscure the subject matter of the present invention, the detailed description will be omitted. Throughout the specification, when a part “includes” a certain component, it means that the component may further include other components, not exclude other components, unless otherwise stated. The terms "... unit", "... module", etc. refer to a unit that processes at least one function or operation, and may be implemented by hardware or software or a combination of hardware and software.

If the electric vehicle charging system having a remote control function utilizing the IoT network according to the present invention is described with reference to FIGS. 1 to 17, the electric vehicle charging system is installed at a predetermined position to charge the electric vehicle; An IoT communication device (3) coupled to the charger (2) detachably to transmit and receive information wirelessly between the charger (2) and the control server (1); A control server (1) for wirelessly transmitting and receiving information to and from the IoT communication device (3) to manage the state of the charger (2) and to enable remote control; Emergency charger (4) is formed to be movable to enable replacement charging in the event of an abnormality of the charger (2); A user terminal 5 that receives information on the charger 2 from the control server 1 and allows input of control commands for the charger 2; It includes a manager terminal (6) to transmit and receive information about the charger (2) to manage the charger (2).

The electric vehicle charging system according to the present invention allows communication between the charger 2 and the control server 1 by using an IoT network, thereby reducing the cost for establishing a communication network and enabling transmission and reception of information at a low communication cost. Preferably, the communication is performed using the LoRa network, and the IoT communication device 3 connected to the LoRa network is configured to be detachable from the charger 2, so that it can easily respond to changes in the communication environment, and can cause failures and errors. Due to this, maintenance can be easily performed.

In addition, while the electric vehicle charging system transmits and receives information about the charger 2 in real time, it enables monitoring of failures of the charger 2 and various abnormalities, and in an emergency charger 4 that can be moved in an emergency. By charging it, it is possible to minimize inconvenience to the user even when an abnormality occurs. In the situation where the number of charging stations and chargers is insufficient, quick response to failures can be said to be very important for the operation of the charging system.

In addition, the electric vehicle charging system predicts the usage of the charger at a certain point in time, thereby distributing congestion for each charger and maximizing the benefits of operating the charging system by charging the charging price accordingly, and when charging is scheduled, the battery And by using the information of the charger to calculate the charging end time to improve the user's convenience and operation efficiency of the charging system.

The control server (1) is configured to receive information on the charger (2) to monitor the status, and transmits a control signal related to the operation of the charger (2) to the charger (2) so that remote control is achieved. Exactly, information is transmitted and received through wireless communication with the IoT communication device 3. As described above, the control server 1 can transmit and receive various information necessary for monitoring and control at a low cost as it transmits and receives information using an IoT network. The control server (1) is a real-time monitoring unit (11) that monitors the status of the charger (2), an information registration unit (10) that registers information about the charger and the user in real time, and an emergency charger (1) in the event of an abnormal charger ( Emergency charging interlocking unit 12 to enable alternative charging by 4), charging control unit 13 to control the operation of the charger, charging reservation unit 14 to reserve charging, and charger 2 for a certain time period The predicted charger usage prediction unit 15, the settlement and settlement unit 16 for settlement and settlement of charging costs, the wireless communication unit 18 for wireless communication with the IoT communication device 3, the vehicle battery and information of each user It may include a BMS interlocking unit 19 for transmitting and receiving.

The information registration unit 10 is configured to register information about a charger and a user, and includes a charger registration unit 101 and a user registration unit 102.

The charger registration unit 101 may include a charging station information registration module 101a that registers information about a charging station where the charger 2 is located, and a charger information registration module 101b that registers information about the charger 2. In addition, the charging station information registration module 101a registers information on the operating institution, location, number of chargers, etc. of the charging station, and the charger information registration module 101b registers information on the specifications, charging speed, location, etc. of the charger. Can be. Therefore, the charger registration unit 101 can be managed and controlled for each charging station and charger.

The user registration unit 102 is configured to register user information using a charging system, a user identification information storage module 102a for registering information such as an ID for identifying a user, and a user terminal for registering user terminal information. It may include an information storage module (102b), a user battery information storage module (102c) for registering the vehicle battery information of the user. Accordingly, the user registration unit 102 can identify users and manage charging information for each user, such as charging, and provide charging information through the registered user terminal 5, The charger 2 may be operated under the control of the user terminal 5, and may receive information from the user's vehicle battery to be used as basic information such as charging reservation and charging.

The real-time monitoring unit 11 is a configuration that monitors the state of the charger 2 in real time, so that the current state of the charger 2 can be identified and provided according to the power supply amount, reservation information, and abnormal information of the charger 2 It is possible to detect and check various abnormal information of the charger 2. To this end, the real-time monitoring unit 11, as shown in Figure 4, the charger status monitoring unit 111, the failure detection unit 112, the failure prediction unit 113, the abnormality detection unit 114, standby power monitoring unit ( 115), an electromagnetic wave monitoring unit 116 may be included.

The charger status monitoring unit 111 is configured to monitor the current status of the charger 2, and may include a communication error checking module 111a, a status information receiving module 111b, and a status information transmitting module 111c. .

The communication error checking module 111a is configured to check the communication status with each charger 2, and can transmit a signal for checking the status to each charger 2, and receives a response signal to communicate with it. It is possible to check whether or not the communication status is deteriorated.

The status information receiving module 111b is configured to receive information about the state of each charger 2, and receives information on the amount of power supplied from the charger 2 to grasp the status of whether it is currently in standby or charging. In addition, according to the information reserved by the charging reservation unit 14, it is possible to grasp whether or not it is being reserved, and it is also possible to grasp the state of whether it is being stopped or being inspected depending on whether there is a failure or the like.

The status information transmission module 111c is configured to transmit information regarding the state of the charger 2 in accordance with the information identified by the status information receiving module 111b, and to the user terminal 5 and the administrator terminal 6 It can be transmitted, and information about a charging station and a charger can be displayed through a separate display.

The failure detection unit 112 is configured to detect the failure of the charger 2 by comparing the amount of power supplied to the electric vehicle from each charger 2, the difference according to the specifications and setting information of each charger 2 In order to rule out, the power supply amount information is adjusted and compared. To this end, the failure detection unit 112 may include a power supply amount receiving module 112a, a power supply amount adjusting module 112b, and a charging abnormality detecting module 112c.

The power supply amount receiving module 112a is configured to receive information on the amount of power supplied from each charger 2, and to receive information on the amount of power supplied for a certain period of time.

The power supply amount adjustment module 112b is configured to adjust the information on the power supply amount collected from each charger 2 to be able to be compared under the same conditions, such as actual operating time and charging speed of each charger 2 Using the information, it is possible to compare the power supply amount based on the same charging speed at the same operating time. For example, if the charging speed and the charging operation time of one charger are twice each of other chargers, the power supply amount is divided by 4 to be used for comparison of the power supply amount.

The charging abnormality detection module 112c is configured to detect a failure of the charger 2 using the power supply amount adjusted by the power supply amount adjustment module 112b, and the power supply amount of each charger 2 is within a certain range. In case of deviation, it can be detected as a failure, and preferably, a comparison can be made between chargers 2 in the same region or the same charging station to minimize the influence of ambient conditions. In addition, the charging abnormality detection module 112c uses an average supply amount to increase the accuracy of failure detection, and detects a failure when it exceeds a predetermined time or more range. To this end, the charging abnormality detection module 112c may include an average supply amount calculation module 112c-1, a failure suspect output module 112c-2, and a failure determination module 112c-3.

The average supply amount calculation module 112c-1 is configured to average the power supply amount of each charger 2 adjusted by the power supply amount adjustment module 112b, and calculate an average value. ) To calculate the average value of the power supply.

The suspected failure output module 112c-2 is configured to output a signal that a failure is suspected when the adjusted power supply amount of the specific charger 2 is out of a predetermined range from the calculated average value. To be done.

The failure determination module 112c-3 is configured to track the power supply amount of the corresponding charger 2 for a predetermined time when a signal that a failure is suspected is output by the suspected failure output module 112c-2. When the average value is out of the range of one point, the failure is determined, and a signal for this is transmitted to the user terminal 5 and the manager terminal 6. Accordingly, the failure determination module 112c-3 can detect an error as a failure only when an abnormality in the power supply amount continues for a predetermined time or more, thereby excluding errors due to an instantaneous malfunction to increase the accuracy of the failure detection. In addition, the operation of the charger 2 may be stopped by the failure confirmation signal, and charging may be continued by interlocking the charging information being charged to the emergency charger 4.

The failure prediction unit 113 is configured to generate a signal that a failure has not been detected in the failure detection unit 112, but there is a risk of failure within a certain period of time, and the supply change amount calculation module 113a and the failure prediction generation module ( 113b).

The supply change amount calculation module 113a compares the power supply amount in a predetermined time period received from the charger 2 and the power supply amount in a predetermined normal state to calculate the change amount.

The failure prediction generation module 113b is configured to generate a signal that a failure occurs within a predetermined period when the amount of change calculated by the supply change amount calculation module 113a exceeds a preset reference value, wherein the reference value is constant in a normal state It means that the failure occurs after a period of time. The reference value may be set as repeated experimental data, for example, the power supply amount under normal conditions is set to 20%, and the reference value for failure within 15 days is set to 5%, and the measured power supply amount is 24%. In this case, since the difference from the normal state is 4% or less than the reference value of 5%, a signal that a failure may occur within 15 days is output.

The abnormality detecting unit 114 does not output a signal that a failure is predicted from the failure predicting unit 113, but recognizes an abnormality in which the function of the charger 2 is suspected and outputs a signal related thereto. Let's analyze the rate of change. To this end, the abnormality recognition unit 114 may include a change rate confirmation module 114a and an abnormality information generation module 114b.

The rate-of-change module 114a collects power supply amount information for a certain period of time to calculate a slope indicating the degree of change in the power supply amount per unit period, and compares the slope with a reference value by the abnormality information generation module 114b Therefore, when the reference value is exceeded, a signal that an abnormality is occurring in the charger 2 is output. Therefore, even when a failure is detected or not predicted, it is possible to detect that a malfunction of the charger 2 is occurring and promptly respond to it.

The standby power monitoring unit 115 is configured to monitor whether there is a power leakage when the charger 2 is in a standby state, and includes a standby power supply amount detection module 115a and a charger abnormality detection module 115b. Can be.

The standby power supply amount detection module 115a is configured to extract power supply information in a standby state from the power supply amount, and is charged by the charging start module 132 and the charging completion module 135 to be described later in the charging control unit 13 The standby time is determined by the start, end information, and information sensed by the connection detection module 233 to be described later of the charger 2, and the power supply amount of the determined standby time is calculated.

The charger abnormality detection module 115b has an abnormality in the standby state of the charger 2 when the power supply amount in the standby state of the charger 2 detected by the standby power supply amount detection module 115a exceeds a predetermined value. As a configuration that detects, it may be configured to detect that an abnormality has occurred when a state exceeding a certain value persists for a certain period of time. When it is detected that there is an abnormality by the charger abnormality detecting module 115b, the charger 2 is leaking current even in the standby state, so that the operation of the charger 2 is stopped and measures can be taken. .

The electromagnetic wave monitoring unit 116 is configured to monitor electromagnetic waves generated from the charger 2, and electromagnetic waves generated from the charger 2 not only adversely affect the person charging, but also are good for automobiles, surrounding electronic devices, etc. Since it may have an adverse effect, it can be detected in real time to minimize the damage caused by electromagnetic waves. To this end, the electromagnetic wave monitoring unit 116 may include an electromagnetic wave information receiving module 116a, a charging speed adjustment module 116b, a temporary stop module 116c, and a deactivation module 116d as shown in FIG. 7. have.

The electromagnetic wave information receiving module 116a is configured to receive information on the amount of electromagnetic waves generated in the charger 2 in real time, and receives values measured by the electromagnetic wave measurement module 232 to be described later of the charger 2 Do it.

The charging speed adjustment module 116b is configured to lower the charging speed when the received electromagnetic wave value exceeds a reference value, thereby reducing the flow of current to reduce the generation of electromagnetic waves.

The temporary stop module 116c is configured to stop the operation of the charger 2 for a certain period of time when the electromagnetic wave does not fall below a reference value even though the charging speed is lowered by the charging speed adjustment module 116b, and a certain period of time has elapsed. Therefore, when the electromagnetic wave falls below a certain value, charging is automatically resumed.

The deactivation module 116d is configured to deactivate the charger 2 when the electromagnetic wave value does not fall below a reference value even though the operation of the charger 2 is stopped for a predetermined time by the temporary stop module 116c. After the separate measures are made, the charger 2 is allowed to operate.

The emergency charger interlocking unit 12 receives charging or reservation information when a failure of the charger 2 is detected by the failure detection unit 112 during charging or during reservation, or when the charger 2 is deactivated due to an electromagnetic wave abnormality. In conjunction with the emergency charger 4, charging by the emergency charger 4 can be achieved. Accordingly, the emergency charger interlocking unit 12 can immediately resume charging by the emergency charger 4, which can be moved even when a failure occurs in the charger 2, thereby increasing user convenience. If the number of charging stations is insufficient, the mileage of the electric car is not long, and the failure of the charger occurs in a situation where the management of the failure of the charger is not properly performed, it may cause a great inconvenience to the user. , Interlocking with the emergency charger 4 can greatly help the operation of the charging system. To this end, the emergency charger interlocking unit 12 may include a charger search module 121, a charging information linking module 122, and a location information transmitting module 123 as shown in FIG.

The charger search module 121 searches the emergency charger 4 around the charger 2 when a failure, an abnormality, etc. of the charger 2 is detected by the failure detection unit 112, the electromagnetic wave monitoring unit 116, or the like. With the configuration, it is to search the emergency chargers 4 at a short distance by using the location information of the emergency charger 4.

The charging information linking module 122 is configured to interlock charging information for the shortest emergency charger 4 among the searched emergency chargers 4, so that the remaining charge can be continuously charged, and all the charges are summed and settled To make it possible.

The location information transmission module 123 is configured to transmit location information of a charger in which charging information is linked to a user, so that the user can directly find and connect the emergency charger 4.

The charging control unit 13 is configured to control the operation of the charger 2, the user authentication module 131, the charging start module 132, the charging speed setting module 133, the charging stop module 134, the charging completion Module 135 may be included.

The user authentication module 131 is configured to authenticate a user who uses the charger 2, or to authenticate whether a user is a registered user according to user information input through the user terminal 5 or the charger 2 The user may be authenticated according to user information transmitted through the user authentication unit 21 to be described later. When the user is authenticated by the user authentication module 131, information on charging is provided to the registered terminal of the user, the charger 2 can be controlled through the user terminal 5, and battery management of the user vehicle In conjunction with a system (BMS, Battery Management System) it is possible to receive information about the battery.

The charging initiation module 132 is configured to start charging by the charger 2, and may start charging according to the input of the user terminal 5.

The charging speed setting module 133 is configured to set a charging speed when charging, and determines a charging speed according to load information of a power supply source that supplies power to the charger 2. In general, the charger 2 is charged using power supplied from a building or other KEPCO. The charging speed setting module 133 is used for the current power consumption from a building or a specific facility connected to the charger 2. Information is received, and according to the load information, the charging speed is lowered when the power usage is high, and the charging speed is increased when the power usage is low, so that charging can be performed. Therefore, the charging speed setting module 133 can minimize the effect on other loads according to the use of the charger 2. To this end, the charging speed setting module 133 requests the power management system, such as a building or facility, to request information about power consumption by the load information request module 133a, and the charging speed determination module according to the power consumption information ( The charging rate is determined by 133b).

The charging stop module 134 is configured to stop the operation of the charger 2 during charging, and may stop the operation of the charger 2 when a failure or the like occurs by the real-time monitoring unit 11.

The charging completion module 135 is configured to stop power supply after completion of charging, and transmits information on the amount of power supplied to the settlement settlement unit 16 so that settlement and payment can be made.

The charging reservation unit 14 is configured to reserve the use of the charger 2, and preferably allows reservation to be performed through the user terminal 5. Therefore, the charging reservation unit 14 registers the reservation according to the information input through the user terminal 5, and in particular, predicts the charger usage for each time slot in advance to set the unit price according to the predicted charger usage. Therefore, when the expected charger usage is high, it is possible to have an effect of distributing the charger user by setting an expensive unit price, and to maximize the profit from the viewpoint of the operator of the charging system. As shown in FIG. 10, the charging reservation unit 14 includes a charger status display module 141, a charger selection module 142, a reservation time selection module 143, a unit price display module 144, and a battery information receiving module ( 145), a charger information receiving module 146, an estimated end time calculation module 147, an expected payment amount display module 148, and a reservation completion module 149.

The charger status display module 141 is configured to display the status of the charger 2 for each time period, so that information such as whether it is being charged, being reserved, and whether it is possible to be charged is displayed. Also, indicate the time when charging is possible. To this end, the charger status display module 141 displays whether or not charging of each time zone is possible through the availability display module 141a, and if charging or reservation is being made, it is charged by the available time display module 141b. Please indicate the expected end time of the reservation. The available time display module 141b displays the estimated end time in consideration of the charging speed and the remaining amount of the battery being charged when it is being charged. When it is being reserved, the estimated time is calculated by the estimated end time calculation module 147. Mark it.

The charger selection module 142 is configured to select the charger 2 to be charged, so that the charger can be selected according to the input of the user terminal 5.

The reservation time selection module 143 is configured to select a reservation time for the selected charger 2, so that a desired time for reservation can be selected in consideration of unit price information displayed for each time zone.

The unit price display module 144 is configured to display unit price information for each time zone, and sets and displays the charging unit price according to the charger unit usage for each time zone predicted by the charger usage prediction unit 15. As described above, by displaying the unit price according to the usage of the charger, it is possible to alleviate the congestion of the use of the charger 2 and increase the operating profit of the charging system.

The battery information receiving module 145 is configured to receive information about the user's vehicle battery, and performs wireless communication with the vehicle's battery management system (BMS) to check the information on the remaining battery power and the expected end time and Allow the estimated payment amount to be calculated.

The charger information receiving module 146 is configured to receive information of the charger 2 selected by the user, so that the estimated end time can be calculated according to information on the specification and charging speed of the charger 2.

The estimated end time calculation module 147 is configured to calculate the expected end time at the time of reservation in consideration of the battery information of the vehicle and the charger 2 information, and calculates and displays the expected end time according to the remaining battery power and charging speed. .

The expected payment amount display module 148 is configured to calculate and display the expected payment amount according to the estimated end time and the set unit price, so that the user can select accordingly.

The reservation completion module 149 is configured to store reservation information for the charger 2, the status of the charger 2 is displayed according to the stored reservation information, and reservation information is transmitted to the user terminal 5 to be reserved. Make it possible to charge in time.

The charger usage prediction unit 15 is configured to predict information about the charger usage in a certain time period, preferably to predict the charger usage by the neural network. Neural networks are one of the mathematical models that have modeled the human brain with the structure and ability to make their own rules through experience, and have the ability to solve problems. Input layer (15a), hidden layer (15b), output layer (15c) It is composed and optimized through learning. The charger usage prediction unit 15 predicts the charger usage in a specific time period using the neural network, and for this purpose, includes a neural network construction unit 151, an input variable collection unit 152, and a usage output unit 153. Can be.

The neural network building unit 151 is a configuration that builds a neural network that predicts charger usage by using input variables affecting the charger usage, using the month, day of the week, time zone, temperature, and weather conditions as input variables, and power usage of the corresponding time zone. Build a neural network that predicts the charger usage by using as the output value. The neural network construction unit 151 inputs input variables to the neural network and sets an arbitrary weight to output power consumption, and compares the output power consumption with the actual power consumption to calculate errors and reduce errors. The weight is corrected and the neural network can be optimized by repeating the process of correcting the weight until the error becomes less than a certain value. To this end, the neural network building unit 151 may include a variable input module 151a, a weight setting module 151b, a power consumption output module 151c, an error calculation module 151d, and a weight update module 151e. have.

The variable input module 151a is configured to input values influencing the usage of the charger into the neural network, and sets a specific month, day of the week, time zone, temperature, and weather status as input variables.

The weight setting module 151b is a configuration for setting a weight, which means a correlation between inter-layer nodes at the initial stage of building a neural network, and setting an arbitrary value to start calculation by the neural network, and the error calculation module 151d Iterative updates are made according to the error calculated by to be optimized.

The power consumption output module 151c calculates the input value of the next layer node by multiplying the output value of each node by multiplying the weight, and repeats the process from the input layer 15a to the output layer 15c to correspond to the power consumption. To calculate the output value.

The error calculation module 151d is configured to compare the power consumption output from the power consumption output module 151c and the power consumption when it corresponds to an actual input variable, and calculate an error. The weight is updated according to the calculated error. To be able to.

The weight update module 151e is configured to correct the weight in the direction of reducing the error according to the error calculated by the error calculation module 151d, and update the weight until the error is within a certain range. In other words, if the error is out of a certain range, the weight is corrected to go through the power consumption output module 151c again, and the error is again calculated through comparison with the actual power consumption and the weight is corrected. At this time, the weight update module 151e may use a back propagation algorithm that updates the weight in the opposite direction rather than the input layer, the hidden layer, and the output layer.

The process of constructing the neural network by the neural network building unit 151 will be described in more detail. The input nodes of the input layer x ₁ ,. , x _p , the output node of the output layer y, the hidden nodes of the hidden layer z ₁ ,… Assuming, z _q , the value of the hidden node z _k can be expressed as [Equation 1] below.

[Equation 1]

(k = 1,…, q)

At this time, ω _jk is the coefficient attached to the connecting line (synapse) from input node j to hidden node k, that is, weight, ω _0k is a constant term affecting node k, and f ₁ (u) means the activation function do. As the activation function, a nonlinear function such as a logistic function, a hyperbolic tangent function, and a non-conversion function can be used. Like this, z ₁ ,… , z _q is determined, take the activation function f ₂ to combine them with bias (ω _0k ) as shown in [Equation 2] below, and output the output variable y.

[Equation 2]

In addition, an error is calculated by comparing the output variable y output with the actual value, and the weight is updated until the error is within one point range to train the neural network or to train the neural network a predetermined number of times.

12 is a neural network for predicting charger usage derived through the learning process of the neural network, and the input layer 15a has input variables set as month, day of the week, time zone, temperature, and meteorological state to input nodes x ₁ to x ₅ Each was input, and three hidden nodes of z ₁ , z ₂ , z ₃ were formed in the hidden layer 15b, and the power consumption value was output through the output node y ₀ in the output layer 15c. The error was calculated by comparing the output power consumption value with the actual power consumption value, and the optimal weight was calculated while updating the weight in the direction of reducing the error.

The input variable collection unit 152 is a configuration that collects information to predict the charger usage (power consumption) in a specific time period using the neural network built in the neural network construction unit 151, the month, day, and time zone to be predicted It is possible to collect the temperature and weather conditions of a weather station using a server, etc., for example, using WRF (Weather Forecast Model) to predict weather information at a specific point in time, and to collect predicted weather information, The collected information can be input to the constructed neural network as input variables.

The usage output unit 153 is a configuration that outputs power consumption by inputting the information collected by the input variable collection unit 152 into a neural network. Set the unit price and, if the power usage is low, set the low charging unit.

The settlement and payment unit 16 is configured to settle and pay for charges after charging is completed, to settle and charge the charges according to the unit price and usage time set with the execution of the charge completion module 135 The payment may be made by the user terminal 5, and the charger 2 may be separated from the vehicle only when payment is made.

The data collection unit 17 is configured to collect and store information for management and control of the charger 2, the charger usage information collection module 171 for storing information about the usage time of the charger 2, the charger It may include a weather information collection module 172 for collecting weather information for predicting usage, a power usage information collection module 173 for collecting and storing information about the power consumption.

The wireless communication unit 18 is configured to perform wireless communication with the IoT communication device 3 to transmit and receive information using an IoT communication network, and preferably to use a LoRa network.

The BMS interlocking unit 19 is configured to interwork with the user's vehicle battery management system (BMS), and communicates with the BMS wirelessly according to the information stored by the user battery information storage module 102c to maintain battery power, etc. It can be made to receive information, and preferably it can be connected by using an IoT communication network.

The charger 2 is installed in a certain position to charge an electric vehicle, and can perform a charging operation according to a signal received from the control server 1, and measures and controls information related to the state of the charger 2 Send it to the server (1). In addition, the charger 2 may recognize and transmit user information, and may recognize and transmit battery information by recognizing a battery management system (BMS) of the vehicle, and the IoT communication device 3 is coupled to IoT It enables information to be transmitted and received through a communication network. To this end, the charger 2 may include a user authentication unit 21, a charging operation unit 22, a state measurement unit 23, and a communication device mounting unit 24 as shown in FIG.

The user authentication unit 21 is configured to recognize the user through the charger 2, and the control server 1 may recognize and authenticate the user through the user terminal 5, but may use RFID, etc. Through the charger 2 can also be configured to recognize and authenticate the user. In addition, the control server 1 may acquire BMS information about the user's vehicle through wireless communication using an IoT network, but communicates directly with the battery management system (BMS) of the vehicle through the charger 2 It is also possible to obtain and deliver it to the control server (1). To this end, the user authentication unit 21 includes a user information recognition module 211 that recognizes user information, a user information transmission module 212 that transmits the recognized information to the control server 1, and BMS information of the authenticated user vehicle. It may include a BMS information recognition module 213 for recognizing, BMS information transmission module 214 for transmitting the recognized BMS information to the control server (1).

The charging operation unit 22 is configured to operate the charger 2 in accordance with the control signal transmitted from the control server 1, the charging of the charging according to the information input by the user terminal 5 or the manager terminal (6) Start, end, and stop operations are to be performed.

The state measurement unit 23 is configured to measure the state information of the charger 2 and transmit it to the control server 1, and measures the amount of power supplied from the charger 2 by the power supply amount measurement module 231. The electromagnetic wave generated from the charger 2 is measured by the electromagnetic wave measurement module 232, and the connection detection module 233 is used to detect whether the vehicle is connected.

The communication device mounting portion 24 is a configuration in which the IoT communication device 3 is detachably attached, and as shown in FIG. 15, a predetermined space is provided at one point of the charger 2 to provide the IoT communication device 3 Can be accommodated, and can be combined in various forms capable of transmitting and receiving information.

The IoT communication device 3 is detachably coupled to the charger 2 and allows information to be transmitted and received using the IoT network between the charger 2 and the control server 1. To this end, the IoT communication device 3 is provided with a charger connection portion 31 so that a wired connection is made with the charger 2, so that information can be transmitted and received, and the control server 1 is transmitted through the wireless transmission / reception unit 32. ) And the IoT network to perform wireless communication. At this time, the wireless transmission / reception unit 32 may use a LoRa (Long Range) network using a low power wide area (LPWA) technology. In addition, the IoT communication device 3 may be adapted to a communication environment having various frequency bands, including a frequency band changing unit 33 capable of changing the frequency band of wireless transmission and reception.

The emergency charger 4 is formed to be movable as shown in FIG. 17 to charge an electric vehicle, and may be formed to be freely movable in a certain area. The emergency charger 4 is not normally available, and it is preferable to use it only when charging information is interlocked by the emergency charger interlocker 12. Therefore, the emergency charger 4 can minimize the user's inconvenience by replacing the charger 2 and performing charging when a failure of the charger 2 occurs.

The user terminal 5 may be a mobile terminal such as a smartphone 2 owned by the user of the charger 2, and the information is stored by the user terminal information storage module 102b to receive status information about the charger 2 Received, it is possible to input the control signal, and reservation and payment can be made.

The manager terminal 6 may be a mobile terminal such as a smartphone possessed by the manager of the charging system, and receives status information about the charger 2 so that management can be performed, and in the event of an emergency, the manager terminal 6 It is possible to control the charger 2 through.

In the above, the applicant has described various embodiments of the present invention, but these embodiments are only one embodiment of implementing the technical idea of the present invention, and any modification or modification of the invention as long as the technical idea of the present invention is implemented It should be interpreted as being within the scope of.

1: Control server
10: information registration unit 101: charger registration unit 102: user registration unit
11: Real-time monitoring unit 111: Charger status monitoring unit 112: Fault detection unit
113: failure prediction unit 114: abnormal recognition unit 115: standby power monitoring unit
116: electromagnetic wave monitoring unit
12: emergency charger interlocking unit 121: charger search module
122: charging information linking module 123: location information transmission module
13: charging control unit 131: user authentication module 132: charging start module
133: charging speed setting module 134: charging stop module 135: charging complete module
14: charging reservation unit 141: charger status display module 142: charger selection module
143: reservation time selection module 144: unit price display module 145: battery information receiving module
146: charger information receiving module 147: estimated end time calculation module
148: expected payment amount display module 149: reservation completion module
15: charger usage prediction unit 151: neural network construction unit 152: input variable collection unit
153: Usage output unit 16: Settlement payment unit
17: data collection unit 171: charger usage information collection module
172: weather information collection module 173: power consumption information collection module
18: wireless communication unit 19: BMS connection unit
2: charger
21: user authentication unit 211: user information recognition module 212: user information transmission module
213: BMS information recognition module 214: BMS information transmission module
22: charging operation unit 23: state measurement unit 231: power supply amount measurement module
232: electromagnetic wave measurement module 233: connection detection module 24: communication device mounting unit
3: IoT communication device
31: charger connection unit 32: wireless transmission and reception unit 33: frequency band changing unit
4: Emergency charger 5: User terminal 6: Manager terminal

Claims (13)

A charger installed at a predetermined position to charge the electric vehicle;
An IoT communication device coupled to the charger detachably to transmit and receive information wirelessly between the charger and the control server;
Includes; a control server for transmitting and receiving information wirelessly with the IoT communication device to manage the state of the charger and enable remote control.
The IoT communication device transmits and receives information using a dedicated IoT network,
The control server,
A charger status monitoring unit that receives and monitors information on a charger in real time, and a failure detection unit that detects a failure of the charger according to the amount of power supplied to the electric vehicle from the charger,
The failure detecting unit receives a power supply amount from a plurality of chargers, a power supply amount receiving module, a power supply adjustment module that adjusts the power supply amount according to the setting information of each charger, and a charger when the corrected supply amount of each charger is outside a certain range Includes a charging error detection module that determines that there is an abnormality,
The charging abnormality detection module,
The average supply amount calculation module that calculates the average value by averaging the adjusted power supply amount of each charger, and the suspect output module that outputs a signal that a failure is suspected when the average supply amount exceeds a certain range, and a signal that a suspected failure is output If the adjusted power supply amount exceeds a certain range of the average supply amount over a certain time, the electric vehicle charging system characterized in that it comprises a failure determination module to notify the failure. delete According to claim 1, wherein the control server
The failure detection unit includes a failure prediction unit that generates a signal that a failure is not detected but a failure is predicted,
The failure prediction unit,
Fault forecasting module that compares the power supply output from each charger and the power supply in a steady state to calculate the change amount, and generates a prediction signal that a failure occurs within a certain period when the calculated change amount exceeds the set reference value. Electric vehicle charging system comprising a generation module. The method of claim 3, wherein the control server
When the failure prediction unit does not output a signal that a failure is predicted, it includes an abnormality recognition unit that analyzes the rate of change in the power supply for a certain period to generate a signal that the charger has an abnormality,
The abnormality recognition unit,
A change rate confirmation module for calculating a rate of change by dividing the amount of power supplied from the charger for each period for a period of time, and an abnormality information generating module for generating a signal that the charger is in an abnormal state when the calculated rate of change is outside the standard value Electric vehicle charging system, characterized in that. The method of claim 4, wherein the control server
It includes a standby power monitoring unit for detecting a charger abnormality in the standby state,
The standby power monitoring unit,
Characterized in that it comprises a standby power supply amount detection module for selecting the power supply amount in the standby state among the power supply amount of the charger, and a charger error detection module that outputs a charger error signal when the power supply amount in the standby state exceeds a reference value. Electric vehicle charging system. The method of claim 5, wherein the control server
Includes an electromagnetic wave monitoring unit for monitoring the electromagnetic waves generated by the charger,
The electromagnetic wave monitoring unit,
An electromagnetic wave information receiving module for receiving information on the amount of electromagnetic waves measured from the charger, a charging rate adjusting module for reducing the charging speed of the charger when the amount of received electromagnetic waves exceeds a predetermined value, and also for adjusting the charging rate. It characterized in that it comprises a pause module for temporarily stopping the operation of the charger when the amount of does not decrease, and a deactivation module for deactivating the charger when the amount of electromagnetic waves generated after a certain time has elapsed after the pause. Electric vehicle charging system. The method of claim 6, wherein the control server
In case of failure or deactivation of the charger, it includes an emergency charger interlocking unit that interlocks the charging information by the charger with the emergency charger to enable charging by the emergency charger.
The emergency charger interlocking unit,
A charger search module that searches for emergency chargers around chargers that have failed or deactivated, a charging information linking module that links the charging information currently being charged to the searched emergency charger, and location information transmission that transmits the location of the linked emergency charger to the user Electric vehicle charging system comprising a module. According to claim 1, wherein the control server
It includes a charging control unit for adjusting the operation of the charger according to the control by the user terminal,
The charging control unit,
It includes a charging start module to start charging, a charging complete module to end charging, a charging stop module to stop the operation of the charger when a failure or abnormality occurs, and a charging speed setting module to adjust the charging speed when charging,
The charging rate setting module,
An electric vehicle charging system comprising a load information request module for requesting information on a current load state from a power supply source to which a charger is connected, and a charging speed determination module for determining a charging speed according to the load state. According to claim 1, wherein the control server
Includes a charging reservation unit to make a reservation for each charger,
The charging reservation unit,
A charger status display module for displaying the status of each charger, a charger selection module for selecting a charger to be charged, a reservation time selection module for setting a reservation time for the selected charger, and a unit price display module for displaying the unit price of the selected reservation time It includes,
The unit price display module is an electric vehicle charging system, characterized in that to set and display the unit price according to the predicted charger usage. The control server according to claim 9,
Includes a charger usage forecasting unit for predicting charger usage at a specific time,
The charger usage prediction unit is a neural network construction unit that builds a neural network that predicts charger usage, an input variable collection unit that collects input variables necessary for usage prediction, and inputs the collected input variables to a built neural network to charge the charging capacity at a specific time. Includes a usage output unit for outputting,
The neural network building unit,
The variable input module that inputs information about the month, day, temperature, weather, and time zone as variables of the neural network, a weight setting module that sets an arbitrary weight to the neural network, and information about power consumption from the neural network according to the set weight It includes a power consumption output module to be output, an error calculation module for calculating an error between the output power consumption and the actual power consumption, and a weight update module to update the weight until the error is below a certain range. Electric vehicle charging system. The charging reservation unit of claim 9
A battery information receiving module that receives information about the user's vehicle battery, a charger information receiving module that receives information about the speed of the selected charger, and an estimated end time to calculate an expected end time according to the remaining battery power and the charger speed And an estimated payment amount display module for calculating and displaying the estimated payment amount according to the calculation module and the set unit price and the expected end time. 10. The method of claim 9, The charger status display module
Display whether the charger can be charged, charging, reserved, stopped, or checking, and whether the charger is being charged or reserved. Display the charging end time or expected end time of each charger. Electric vehicle charging system comprising a possible time display module. According to claim 1, The IoT communication device
An electric vehicle charging system comprising a charger connection unit for connecting a charger, a wireless transmission / reception unit for transmitting and receiving information wirelessly with a control server, and a frequency band changing unit for changing the frequency band of the wireless transmission / reception unit.

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