KR20230104102A - System and method for diagnosing failure of electric car charger - Google Patents

Abstract

A charger failure diagnosis system and method are disclosed. A charger fault diagnosis system according to an aspect of the present invention receives charger information including charging details from a charger installed at each charging station, and based on the charger information, a charger operation server that manages the charging station information, and an AMI installed at each charging station (Advanced Metering Infrastructure) MDMS (Meter Data Management System) server that receives and manages power consumption information of the corresponding charging station from the meter, and receives charging station information from the charger operation server and receives power consumption information from the MDMS server, and a roaming platform server for diagnosing a failure of a charger installed in a corresponding charging station based on the charging station information and the power consumption information.

Description

Charger fault diagnosis system and method {SYSTEM AND METHOD FOR DIAGNOSING FAILURE OF ELECTRIC CAR CHARGER}

The present invention relates to a system and method for diagnosing a fault in a charger, and more particularly, to a system and method for diagnosing a fault in a charger capable of collectively checking whether a charger provided in each charging station has a fault.

An electric vehicle is a generic term for automobiles that use an electric drive motor as a power source, and drives the motor by receiving power from a storage battery of the vehicle. Electric vehicles are also referred to as EVs (electric vehicles), and electric vehicles are attracting attention from the viewpoint of global warming countermeasures, energy saving, and CO2 emission, and their distribution in Korea is rapidly progressing.

In general, electric vehicles have been developed as electric vehicles that do not have an internal combustion engine at all and are driven only by electricity, so they have a range of more than 100 km and hundreds of km on a single charge. For supply, it is necessary to secure charging facilities first, so it is necessary to establish a systematic system for this.

Building such an electric vehicle charging infrastructure is largely composed of a power supply facility, a charger, and an operating system. In general, when a charging service provider provides a paid charging service, when the charging details are transmitted from the charger to the operating system, the operating system proceeds with billing to the customer.

Due to the characteristics of electric vehicle chargers, which are mostly operated unattended, rather than a form where a person resides at a gas station and charges for fuel, the chargers are managed through a centralized system. As a result, there may be cases where the charging service provider underestimates or omits the charging fee to the user, or charges more than the actual amount of charging used.

For example, the charging fee may be undercharged due to a charger failure or S/W error. In addition, abnormal AC/DC conversion loss occurs due to failure or aging of the charger, which may cause damage to customers or charging service providers.

As described above, various charge-related problems such as undercharging, omission, and excessive charging may occur due to a charger failure, but there is no way for a charging service provider to easily determine a charger failure.

Accordingly, there is a demand for technology development that allows charging service providers to easily determine the failure of a charger.

The background art of the present invention is disclosed in Registered Patent Publication No. 10-2043050 (2019.11.11. Notice).

The present invention has been made to improve the above problems, and an object according to an aspect of the present invention is to provide a system and method for diagnosing a charger failure that can collectively check whether a charger provided in each charging station has a failure. is to do

The problem to be solved by the present invention is not limited to the above-mentioned problem (s), and another problem (s) not mentioned will be clearly understood by those skilled in the art from the following description.

A charger fault diagnosis system according to an aspect of the present invention receives charger information including charging details from a charger installed at each charging station, and based on the charger information, a charger operation server that manages the charging station information, and an AMI installed at each charging station (Advanced Metering Infrastructure) MDMS (Meter Data Management System) server that receives and manages power consumption information of the corresponding charging station from the meter, and receives charging station information from the charger operation server and receives power consumption information from the MDMS server, and a roaming platform server for diagnosing a failure of a charger installed in a corresponding charging station based on the charging station information and the power consumption information.

In the present invention, the charging station information includes at least one of charging station identification information, charger identification information, charging amount of each charger, charging record, accumulated charging amount, accumulated charging amount measurement time, accumulated charging charge, and charging unit price, and the power consumption information It may include at least one of charging station identification information, charger identification information, power consumption, and measurement time of power consumption.

In the present invention, the roaming platform server extracts a database, a collection unit that collects the charging station information and the power consumption information and stores them in the database, and extracts the cumulative charge amount and power consumption of each charger from the database, and the extracted accumulated charge amount and a loss rate calculation unit calculating a loss rate by calculating power consumption, and a failure diagnosis unit diagnosing a failure of the charger based on the calculated loss rate.

In the present invention, the loss rate calculation unit calculates a loss rate by calculating the difference between the power consumption for a predetermined period of time from the cumulative charge amount for a predetermined period of time, and the failure diagnosis unit calculates a loss rate when the loss rate is equal to or less than a first reference value. If it exceeds the reference value and is less than or equal to the second reference value, it may be diagnosed as a suspected failure, and if it exceeds the second reference value, it may be diagnosed as a failure.

The present invention may further include a notification unit for notifying a manager of the charger of charger failure information when the failure diagnosis unit diagnoses the charger as a failure.

In the present invention, the failure diagnosis unit may diagnose a communication failure of the charger based on a communication log of charging station information recorded in the database.

The present invention may further include a remote control unit remotely stopping the operation of the charger diagnosed as failure by the failure diagnosis unit.

A method for diagnosing a charger failure according to another aspect of the present invention includes the steps of, by a roaming platform server, receiving charging station information from a charger operation server and receiving power consumption information from an MDMS server; Extracting the accumulated charge amount and power consumption, and calculating a loss rate by calculating the extracted accumulated charge amount and power consumption, and diagnosing, by the roaming platform server, whether or not the charger is out of order based on the calculated loss rate. do.

In the present invention, the charging station information includes at least one of charging station identification information, charger identification information, charging amount of each charger, charging record, cumulative charging amount, cumulative charging amount measurement time, cumulative charging fee, and charging unit price, and the power consumption information is a charging station It may include at least one of identification information, charger identification information, power consumption, and power consumption measurement time.

In the present invention, in the step of calculating the loss rate, the roaming platform server calculates the loss rate by subtracting the power consumption for the predetermined period from the cumulative charge amount for the predetermined period of time, and diagnoses whether the charger is out of order In the step of diagnosing, the roaming platform server may diagnose normal if the loss rate is less than or equal to a first reference value, suspect failure if the loss rate is greater than or equal to a second reference value, and failure if it exceeds a second reference value.

The present invention may further include, after diagnosing whether or not the charger is out of order, notifying, by the roaming platform server, of charger failure information to a manager of the charger if the charger is diagnosed as out of order.

The present invention may further include, after the step of diagnosing whether the charger is out of order, remotely stopping the operation of the charger that has been diagnosed as out of order by the roaming platform server.

In one embodiment of the present invention, the charger fault diagnosis system and method diagnose the fault of the charger based on the accumulated charge amount transmitted from the charger to the charger operation server and the power consumption measured by the AMI meter, thereby Failures can be checked collectively.

The charger failure diagnosis system and method according to an embodiment of the present invention can improve charging reliability by diagnosing various charge-related issues such as undercharging, omission, and excessive charging due to charger failure at an early stage.

On the other hand, the effects of the present invention are not limited to the effects mentioned above, and various effects may be included within a range apparent to those skilled in the art from the contents to be described below.

1 is a diagram showing a charger failure diagnosis system according to an embodiment of the present invention.
2 is a block diagram schematically showing the configuration of a roaming platform server according to an embodiment of the present invention.
3 is a diagram for explaining a method for diagnosing a charger failure according to an embodiment of the present invention.

Hereinafter, a charger failure diagnosis system and method according to an embodiment of the present invention will be described with reference to the accompanying drawings. In this process, the thickness of lines or the size of components shown in the drawings may be exaggerated for clarity and convenience of explanation. In addition, terms to be described later are terms defined in consideration of functions in the present invention, which may vary according to the intention or custom of a user or operator. Therefore, definitions of these terms will have to be made based on the content throughout this specification.

Implementations described herein may be embodied in, for example, a method or process, an apparatus, a software program, a data stream, or a signal. Even if discussed only in the context of a single form of implementation (eg, discussed only as a method), the implementation of features discussed may also be implemented in other forms (eg, an apparatus or program). The device may be implemented in suitable hardware, software and firmware. The method may be implemented in an apparatus such as a processor, which is generally referred to as a processing device including, for example, a computer, microprocessor, integrated circuit, programmable logic device, or the like. Processors also include communication devices such as computers, cell phones, personal digital assistants ("PDAs") and other devices that facilitate communication of information between end-users.

1 is a diagram showing a charger failure diagnosis system according to an embodiment of the present invention.

Referring to FIG. 1, the charger fault diagnosis system according to an embodiment of the present invention includes a charger 100, a charger operating server 200, an advanced metering infrastructure (AMI) meter 300, and a meter data management system (MDMS) server. 400 and a roaming platform server 500.

The charger 100 supplies electric energy to the electric vehicle 10 to charge the battery of the electric vehicle 10. At this time, the charger 100 may charge the electric vehicle 10 by converting AC received from the electricity supplier into DC.

The charger 100 serves to supply electricity transmitted from an electricity supplier to the battery of the electric vehicle 10, and includes direct charging, non-contact charging, and battery replacement. The direct charging method directly connects the charging port of the electric vehicle 10 and the charger 100 to supply power, and recharges the battery installed inside the electric vehicle 10 to a certain level. Slow charging is a method of supplying AC 220V to the electric vehicle 10 through a cable connected to the charger 100 to charge the battery of the electric vehicle 10, and the charger of about 3 to 7 kW installed in the electric vehicle 10 ( 100) converts the applied AC 220V into DC to charge the battery, and it takes about 3 to 10 hours depending on the battery capacity, and the charger 100 having a power capacity of about 3 to 7kW is mainly installed. Rapid charging is a method in which the charger 100 exchanges control signals with the vehicle and variably supplies DC 100 to 450V or AC 380V to charge the battery of the electric vehicle 10. It takes about 15 to 30 minutes, and since the charger 100 supplies high-capacity power, a 50 kW class is mainly installed.

The charger 100 supplies electrical energy to the electric vehicle 10 for which certification has been completed, and pays a fee according to the amount of electrical energy charged. The charger 100 may be provided with communication means capable of individually communicating with the outside. The communication means of the charger 100 may be implemented in various forms such as wired and wireless.

The charger 100 is installed in a charging station and is connected to the electric vehicle 10 wired or wirelessly to charge the battery of the electric vehicle 10 and to perform billing accordingly. The charger 100 may display billing information to be paid by the user through a display unit (not shown) or transmit it to the electric vehicle 10 in response to the charging speed, charging status, charging completion state, and charging amount of the electric vehicle 10. . Since this configuration is a basic configuration of the charger 100 and is obvious to those skilled in the art, a description thereof will be omitted.

The charger 100 is a charging station including at least one of charging station identification information, charger identification information, charge amount of each charger 100, charge state, charge record, cumulative charge amount, cumulative charge amount measurement period, cumulative charge charge, and charge unit price (charger 100). ) information may be transmitted to the charger operation server 200 periodically or in real time.

Meanwhile, although one charger 100 is shown in the embodiment of the present invention, a plurality of chargers 100 may be provided in one charging station, and a plurality of chargers 100 may be provided in a plurality of charging stations.

The charger operation server 200 may receive charger information including charging details from the charger 100 installed in each charging station, and manage the charging station information based on the charger information.

The charger operation server 200 remotely controls the chargers 100 installed in each charging station. At this time, the charger operation server 200 may manage the chargers 100 installed in the unit charging station, or may remotely and integrally manage the chargers 100 of each local charging station.

The AMI meter 300 may receive power from a power supply facility, measure power usage used by the charger 100, and transmit the power usage information to the MDMS server 400. Here, the power usage information may include charging station identification information, charger identification information, power usage, and measurement date (period) of the power usage.

The AMI meter 300 measures the charging power of the electric vehicle 10 from the power supply facility, that is, the 3-phase 380V power for rapid charging or the single-phase 220V power for slow charging, and transmits the measured power consumption information to the MDMS server 400. can transmit At this time, the measured power consumption may be AC.

* The MDMS server 400 may receive and manage power consumption information of a corresponding charging station from the AMI meter 300 installed at each charging station.

The roaming platform server 500 receives charging station information from the charger operation server 200, receives power consumption information from the MDMS server 400, and based on the charging station information and power consumption information, the charger 100 installed at the corresponding charging station faults can be diagnosed. At this time, the roaming platform server 500 extracts the charge amount and power consumption corresponding to the same charger identification information from the charging station information and power consumption information, calculates the extracted charge amount and power consumption, calculates a loss rate, and based on the calculated loss rate Thus, it is possible to determine whether the corresponding charger 100 is out of order.

A detailed description of the roaming platform server 500 will refer to FIG. 2 .

2 is a block diagram schematically showing the configuration of a roaming platform server according to an embodiment of the present invention.

Referring to FIG. 2 , the roaming platform server 500 according to an embodiment of the present invention includes a communication unit 510, a collection unit 520, a database 530, a loss rate calculation unit 540, and a failure diagnosis unit 550. , a notification unit 560, a storage unit 570, and a control unit 580 may be included.

The communication unit 510 may communicate with at least one of the charger operation server 200 and the MDMS server 400 . At this time, the communication method may include short-distance wireless communication, mobile communication, and wireless communication.

The database 530 may store charging station information and power consumption information. In this case, the database 530 may store the cumulative charging amount and power consumption for each charger (charging station).

The collection unit 520 may collect power consumption information from the MDMS server 400 through the communication unit 510 and may collect charging station information from the charger operation server 200 . The collection unit 520 may store the collected charging station information and power consumption information in the database 530 . Here, the charging station information may include charging station identification information, charger identification information, charge amount of each charger 100, charge state, charge record, accumulated charge amount, accumulated charge amount measurement period, accumulated charge charge, charge unit price, and the like. The power consumption information may include charging station identification information, charger identification information, power consumption, and the measurement date (period) of the power consumption.

The loss rate calculator 540 may extract the charge amount and power consumption of each charger 100 from the database 530 and calculate the loss rate by calculating the extracted charge amount and power consumption. In this case, the loss rate calculation unit 540 may extract the charge amount and power consumption for a predetermined period of time for each charger, and calculate the loss rate based on the extracted charge amount and power consumption. In addition, the loss rate calculation unit 540 may calculate the loss rate by subtracting the power consumption of the corresponding charger 100 from the accumulated charging amount of the corresponding charger 100 for a predetermined period of time.

For example, when the cumulative charging amount of the first charger for one month is 80 kWh and the power consumption for one month is 100 kilowatts, the loss rate calculation unit 540 calculates 20% (loss rate = (100-80) ÷ 100 × 100% = 20%) can be calculated as the loss rate.

The failure diagnosis unit 550 may diagnose whether the charger 100 is out of order based on the loss rate calculated by the loss rate calculation unit 540 . At this time, the failure diagnosis unit 550 may diagnose normal, suspected failure, and failure according to the loss rate. For example, if the loss rate is less than the first reference value, it may be diagnosed as normal, if it exceeds the first reference value and is less than or equal to the second reference value, it may be diagnosed as suspected failure, and if it exceeds the second reference value, it may be diagnosed as failure. For example, if the loss rate is 10 to 15%, it can be diagnosed as a failure, and if it exceeds 15%, it can be diagnosed as a failure.

In addition, the failure diagnosis unit 550 may diagnose a communication failure of the charger 100 based on a communication log of charging station information recorded in the database 530 .

For example, a case in which the charger operation server 200 transmits charging station information to the roaming platform server 500 at intervals of 5 minutes will be described. In this case, the failure diagnosis unit 550 may diagnose a communication failure of the charger 100 when there is no information about the charging amount of the charger 100 in the charger information transmitted from the charger operation server 200 .

The notification unit 560 may notify the manager of the charger 100 of the charger failure information when the failure diagnosis unit 550 diagnoses the charger 100 as a failure. Here, the charger failure information may include charging station identification information, charger identification information, and a loss rate.

The manager can recognize the failure of the charger 100 based on the loss rate value and check the charger state. For example, it is possible to check watt-hour meter failure, excessive conversion loss of power converter, charger S/W error, server communication failure, etc.

The roaming platform server 500 according to the present invention may further include a remote controller (not shown) for remotely stopping the operation of the charger 100 diagnosed as a failure by the failure diagnosis unit 550 . The remote control unit may remotely and arbitrarily stop the charger 100 diagnosed as a failure. At this time, the remote controller automatically stops the charger 100 in a dangerous state remotely, and transmits the status of the charger 100 shutdown and cause analysis information to a user terminal or an administrator terminal.

The storage unit 570 may store various algorithms required for the operating method of the roaming platform server 500 and various data derived from this process. The storage unit 570 includes a flash memory type, a hard disk type, a micro type, and a card type (eg, SD card (Secure Digital Card) or XD card (eXtream card)). Digital Card)), RAM (RAM, Random Access Memory), SRAM (Static RAM), ROM (ROM, Read-Only Memory), PROM (Programmable ROM), EEPROM (Electrically Erasable PROM), magnetic memory ( It may include a storage medium of at least one type of memory such as MRAM, magnetic RAM, magnetic disk, and optical disk.

The control unit 580 performs overall control so that each component of the roaming platform server 500 can normally perform its function. The control unit 580 may be implemented in the form of hardware or software, and may also exist in the form of a combination of hardware and software. Preferably, the controller 580 may be implemented as a microprocessor, but is not limited thereto.

3 is a diagram for explaining a method for diagnosing a charger failure according to an embodiment of the present invention.

3, the charger operation server 200 transmits charger information to the roaming platform server 500 (S310), and the MDMS server 400 transmits power consumption information to the roaming platform server 500 (S320 ). At this time, the roaming platform server 500 may collect power consumption information from the MDMS server 400 and charging station information from the charger operation server 200 and store them in the database 530 .

When step S320 is performed, the roaming platform server 500 extracts the charge amount and power consumption for each charger identification information from the database 530 (S330), calculates each extracted charge amount and power consumption, and calculates the A loss rate is calculated (S340). At this time, the roaming platform server 500 extracts the accumulated charge amount and power consumption for a predetermined period of time for each charger 100, and extracts the accumulated charge amount of the charger 100 for the extracted period of time. The loss rate can be calculated by calculating the difference in power consumption.

When step S340 is performed, the roaming platform server 500 diagnoses whether the charger 100 is out of order based on the calculated loss rate (S350). At this time, the roaming platform server 500 may diagnose normal, suspected failure, and failure according to the loss rate. For example, if the loss rate is less than the first reference value, it may be diagnosed as normal, if it exceeds the first reference value and is less than or equal to the second reference value, it may be diagnosed as suspected failure, and if it exceeds the second reference value, it may be diagnosed as failure.

As described above, the charger failure diagnosis system and method according to an embodiment of the present invention is based on the accumulated charging amount transmitted by the charger to the charger operation server 200 and the amount of power consumption measured by the AMI meter 300. By diagnosing, it is possible to collectively check the presence or absence of failures of the chargers provided in each charging station.

The charger failure diagnosis system and method according to an embodiment of the present invention can improve charging reliability by diagnosing various charge-related issues such as undercharging, omission, and excessive charging due to charger failure at an early stage.

The present invention has been described with reference to the embodiments shown in the drawings, but this is only exemplary, and those skilled in the art can make various modifications and equivalent other embodiments. will understand

Therefore, the true technical protection scope of the present invention should be determined by the claims below.

100: charger
200: charger operation server
300: AMI meter
400: MDMS server
500: roaming platform server
510: Ministry of Communication
520: collection unit
530: database
540: loss rate calculation unit
550: fault diagnosis unit
560: notification unit
570: storage unit
580: control unit

Claims (1)

Receiving, by a roaming platform server, charging station information from a charger operation server and power consumption information from an MDMS server;
extracting, by the roaming platform server, a cumulative charge amount and power consumption of each charger from a database, and calculating a loss rate by calculating the extracted accumulated charge amount and power consumption; and
Diagnosing, by the roaming platform server, whether the charger is out of order based on the calculated loss rate;
In the step of calculating the loss rate,
The roaming platform server calculates a loss rate by calculating the difference between the power consumption during the predetermined period of time from the cumulative charge amount for the predetermined period of time;
In the step of diagnosing whether the charger is out of order,
The roaming platform server diagnoses normal when the loss rate is less than or equal to a first reference value, suspect failure when the loss rate exceeds a first reference value and less than or equal to a second reference value, and diagnoses a failure when the loss rate exceeds a second reference value,
After diagnosing whether the charger is out of order,
The charger failure diagnosis method further comprising the step of remotely stopping the operation of the charger diagnosed as the failure by the roaming platform server.

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