Electric vehicle charger with charging port location calculator

Abstract

The electric vehicle charger of the present invention may include a detection unit that generates detection data regarding a parking location of a charging station and an electric vehicle that has entered the charging station for charging, a server that receives detection data from the detection unit, and a charging unit that receives from the server data regarding the location of a charging port of a parked electric vehicle or a waiting location corresponding to the location of the charging port for inserting a charging gun into the charging port.

Description

Technology Field

[0001] The present invention relates to an electric vehicle charger capable of calculating the location of a charging port of an electric vehicle parked at a parking location of a charging station and the waiting location to which a charging unit equipped with a charging gun will move, based on detection data obtained from a detection unit such as a vision unit and a wireless communication unit, and AI learning data utilizing said detection data. Background Technology

[0002] In the field of electric vehicle charging, technologies utilizing automated charging robots have recently been introduced. For instance, many of these involve the introduction of robotic arms to improve usability as charging cables become larger and heavier due to increased charging capacity, or the implementation of rail or curtain-type systems for ceiling-mounted systems in indoor parking lots.

[0003] In addition, the majority of the technologies are those that use a vision camera based on a parked vehicle, such as KR102116964B1, which discloses a technology that identifies a vehicle number through a License Plate Recognition (LPR) system and guides it to a charging area, or KR102664333B, which calculates the relative position of a charging port using a robot arm and a camera and precisely adjusts the charger according to the calculated position. The problem to be solved

[0004] The present invention may include a specific method for accurately calculating the location of a charging port of a parked electric vehicle using detection data, learning data, etc., obtained by a vision unit including a camera of a charging station including a plurality of parking locations, or a detection unit including a wireless communication unit including an RFID method, and calculating a waiting position where a charging unit equipped with a charging gun can move based on the calculated location of the charging port. means of solving the problem

[0005] The electric vehicle charger of the present invention may include a detection unit that generates detection data regarding a parking location of a charging station and an electric vehicle that has entered the charging station for charging, a server that receives detection data from the detection unit, and a charging unit that receives from the server data regarding the location of a charging port of a parked electric vehicle or a waiting location corresponding to the location of the charging port for inserting a charging gun into the charging port. Effects of the invention

[0006] The matching unit of the present invention can generate matching data, which is mutual matching information between data necessary for calculating the location of the charging port of an electric vehicle parked in a parking location. As vehicle data is updated based on the matching data, the location of the charging port of the electric vehicle can be accurately calculated even through simple recognition of the vehicle number, overall exterior, etc., of the entering electric vehicle, thereby saving time for the charging unit to move to a waiting position for charging and the resulting power consumption.

[0007] In the vehicle data of the present invention, vehicle type / vehicle model information corresponding to the vehicle number can be matched and stored. In this case, if only the vehicle license plate is recognized by the detection unit, the vehicle type or model can be immediately identified, and the location of the charging port of the corresponding vehicle can be accurately determined by linking the charging port location data.

[0008] In the mapping step, the mapping unit of the present invention can mutually map data stored in the DB of a server through learning with detection data acquired in real time through a detection unit such as a vision camera.

[0009] The charging port location calculation unit can calculate charging port location data from detection data from the detection unit acquired in real time and matching data from the matching unit that has completed AI learning or from previously stored vehicle data, and can calculate the standby position of the final charging unit by combining the charging port location data with parking location and parking direction information.

[0010] The charging unit equipped with the charging gun here may include at least one of a robot arm, a ceiling-mounted charging device guided downward from above, and a wireless mobile robot. Accordingly, the waiting position can be understood as a position where the charging gun or the charging unit including the charging gun waits before the final charging gun is inserted into the charging port and charging proceeds.

[0011] For captured vehicle data, illumination over time acts as the most significant variable and can influence the recognition rate. In other words, illumination can serve as a factor in generating vehicle data of various qualities, such as high or low quality. For instance, if low-quality detection data of a captured vehicle is acquired due to varying illumination levels, the matching unit can improve computational speed by first matching the low-quality detection data with high-quality vehicle data stored in the database. If a match is not found, the low-quality vehicle data associated with each high-quality vehicle data is also linked to complement the matching process with the low-quality detection data.

[0012] Much of the information in vehicle data can be utilized in various ways beyond simply calculating the charging port location; for example, it may be necessary to identify the electric vehicle model separately from determining the charging port location. Since there is currently a wide variety of charging connector types for different electric vehicles, accurate identification by vehicle model using video data allows for the provision of customized charging units, such as robotic chargers equipped with charging connectors or guns corresponding to the specific vehicle. Brief explanation of the drawing

[0013] Figure 1 is an explanatory diagram of the overall structure of the electric vehicle charger of the present invention. FIG. 2 is an explanatory diagram of various parking positions provided in the charging station of the present invention. Figure 3 is the configuration of the detection data of the present invention and its flowchart. Figure 4 is a flowchart of an electric vehicle charging method using an electric vehicle charger of the present invention. Figure 5 is a data flow diagram of detection data, matching data, waiting location data, etc. of the present invention. FIG. 6 is an explanatory diagram of the atmosphere position of the present invention. Specific details for implementing the invention

[0014] The electric vehicle charger and electric vehicle charging method of the present invention will be described according to FIGS. 1 to 6.

[0015] In FIG. 1 and FIG. 4, the electric vehicle charger of the present invention may include at least one of a detection unit (100) that generates detection data (D10) for a parking position (20) of a charging station (10) and an electric vehicle (50) that has entered the charging station (10) for charging, a server (300) that receives detection data (D10) from the detection unit (100), and a charging unit (200) that receives waiting position data (D30) for a waiting position (40) corresponding to the charging port (70) position for inserting a charging gun (210) into the charging port (70) of the parked electric vehicle (50) from the server (300).

[0016] The detection unit (100) or charging unit (200) may be provided in the charging station (10).

[0017] The server (300) may include at least one of a charging port location calculation unit (310), a learning unit (330), a database (350), a matching unit (370), and a control unit (390).

[0018] The electric vehicle charging method of the present invention may include at least one of a learning step (S10), detection data acquisition (S110), detection data transmission and processing (S120), a mapping step (S130), charging port location calculation (S140), charging unit movement to a standby position (S150), and a charging step (S160).

[0019] The detection unit (100) may include a vision unit including a camera or a wireless communication unit including an RFID method. The detection unit (100) may acquire detection data (D10) in the detection data acquisition step (S110), and the detection data (D10) may undergo a series of data processing at the server (300) to transmit waiting position data (D30) for the waiting position (40) prior to charging of the charging unit (200) equipped with the charging gun (210). Here, through a series of data processing at the server (300), information regarding the electric vehicle, such as the charging port location, battery capacity, and charging port socket type, may be obtained using the detection data (D10), learning data, matching data (D20), etc.

[0020] In FIG. 2, the charging station (10) may include multiple types of parking positions (20), wherein the types of parking positions (20) may be classified according to the position of the parking position (20) and the electric vehicle (50) being parked at a different angle from other parking positions (20). For example, the first parking position (21) may be a case where the electric vehicle (50) is parked along the y-axis direction based on the xy 2D coordinates of the charging station (10), the second parking position (22) may be a case where the electric vehicle (50) is parked along the x-axis direction, and the third parking position (23) may be a case where the electric vehicle is parked at a predetermined angle between the xy axes. The reason such a distinction is necessary is to calculate the position of the charging port (70) of the parked electric vehicle (50) more precisely.

[0021] For example, FIG. 2 illustrates a case where an electric vehicle (50) with a charging port (70) on the left rear is parked in the first parking position (21), a case where an electric vehicle (50) with a charging port (70) on the front of the vehicle is parked in the second parking position (22), and a case where an electric vehicle (50) with a charging port (70) on the right front of the vehicle is parked in the third parking position (23).

[0022] That is, the detection data (D10) may include parking location data (D10b). The parking location data (D10b) may be distinguished into parking locations (21, 22) where the electric vehicle (50) is parked so as to extend along each axis of the 2D map on the charging station (10), and parking locations (23) where the vehicle is parked so as to have a predetermined angle between each axis of the 2D map on the charging station (10), and the charging port (70) location or waiting location (40) may be determined according to the distinguished parking locations (21, 22, 23).

[0023] In this way, the location of the charging port (70) may differ depending on the vehicle type / model, and the location of the charging port (70) may differ depending on the type or angle of placement of the parking location (20). Even if the parking location (20) is determined, the location of the charging port (70) may differ depending on the direction in which it is parked.

[0024] Therefore, unlike conventional methods that use a camera or the like to determine the exact location of the charging port based on a parked vehicle or adjust a robot arm or charging robot to the determined location, the present invention, in terms of operating a charging station (10), uses detection data (D10) recognized by a vision unit including a camera or a wireless communication unit including an RFID method to determine the location of the charging port (70) corresponding to the final parked location (40), and accordingly moves the charging unit (200) equipped with a charging gun (210) to a waiting location (40) corresponding to the calculated location of the charging port (70), thereby fundamentally solving problems such as delay or collision caused by calculating the location retrospectively after the vehicle has already been parked (S150).

[0025] If the exact vehicle model is not identified solely by the vehicle number, that is, if it is not linked to a database (DB, 350) where the vehicle number and the vehicle model are matched, the location of the charging port (70) of the vehicle (50) can be identified by the detection unit (100) when the vehicle first enters the charging station (10). At this time, the vehicle number and the information of the vehicle (50) are matched and stored in the DB (350), and thereafter, the location of the charging port (70) of the vehicle can be known immediately when only the vehicle number is recognized.

[0026] In the case of a detection unit (100) including a camera vision unit, when a vehicle license plate is recognized and a vehicle number is obtained, the vehicle (50) can be identified solely by that vehicle number and the location of the charging port (70) can also be identified.

[0027] The wireless communication unit may include a wireless communication tag unit and a wireless communication reader unit. As an embodiment of the wireless communication unit, it may include an RFID unit, and the RFID unit may include an RFID tag unit and an RFID reader unit.

[0028] The wireless communication tag unit may be attached to or embedded in the electric vehicle (50) to store the vehicle's unique information and communicate with the wireless communication reader unit. It may be composed of a chip that stores the vehicle's unique identification number (EPC) and additional data, an antenna that receives signals from the wireless communication reader unit and transmits data, and a substrate that protects the tag and provides durability. The wireless communication tag unit may be provided on the electric vehicle's license plate, the lower part of the vehicle body on the front / rear structure of the electric vehicle, temporarily attached to the windshield, or provided in a portable device.

[0029] The wireless communication reader unit can read data from a tag and transmit it to a processing system, and may be composed of a wireless communication tag unit, an RF transceiver that performs wireless operations, a control unit that decodes and processes tag data, and a communication unit connected to a server. The wireless communication reader unit may be installed at the entrance / exit of a charging station or along a movement path to a parking location.

[0030] In the case of a detection unit (100) including a wireless communication unit such as an RFID unit, when information is transmitted from a wireless communication tag of an electric vehicle (50) to a wireless communication reader, the vehicle (50) can be identified and the location of the charging port (70) can also be identified.

[0031] When the location of the charging port (70) for the vehicle is calculated, the charging port location calculation unit (310) or the control unit (390) can command (S150) the charging unit (200) to move to a waiting position (40) corresponding to the calculated location of the charging port (70).

[0032] The control unit (390) can control the entire process processed by the server (300).

[0033] When charging by the charging unit (200) is completed in the charging step (S160), the last moved waiting position (40) can be transmitted to the server (300) and stored in the DB (350). When the charging case (210) is removed from the charging port (70), the completion of charging can be notified to the server (300) and to the user through the distributed app.

[0034] According to FIG. 3, the detection data (D10) may include at least one of vehicle data (D10a) which includes information about the electric vehicle (50) itself, such as the location of the charging port (70) by vehicle type / model, battery capacity, overall shape, emblem, and exterior features; parking location data (D10b) which includes information about the parking location (20), such as the size, direction, and number provided at the charging station (10); and parking direction data (D10c) which includes the direction in which the electric vehicle (50) is finally parked for each parking location (20).

[0035] Vehicle data (D10a) may include a vehicle number recognized from the vehicle license plate, vehicle type, model name, location of the charging port (70) of the vehicle, battery capacity, overall shape, emblem, exterior features, etc.

[0036] Vehicle data (D10a) corresponding to a wireless communication tag may be stored in the database (350) or pre-learned by the learning unit (330). Alternatively, vehicle data (D10a) may be acquired retrospectively during the operation of the charging station (10).

[0037] The matching data (D20) can update vehicle data (D10a) through matching between detection data (D10) obtained from a vision unit including a camera or a detection unit (100) including a wireless communication unit including an RFID method.

[0038] Vehicle data (D10a) may store vehicle type / vehicle model information matched to the vehicle number. When only the vehicle number plate is recognized by the detection unit (100), the vehicle type or model is immediately identified, and if the charging port location data is linked and matched to the vehicle data (D10a), the location of the charging port (70) can be immediately known just by recognizing the vehicle number. If the charging port (70) is not linked to the vehicle data (D10a) or if an update is required due to reasons such as a new model, the location of the charging port (70) of the vehicle (50) cannot be known. In this case, the charging port (70) location information is obtained using detection data (D10) acquired in real time through a camera vision unit, and the matching unit (70) can be matched or linked to the vehicle data (D10a) of the vehicle.

[0039] Referring to FIG. 5, the learning unit (330) can perform AI learning using learning data including vehicle data (D10a), such as the location of the charging port (70) and battery capacity for each electric vehicle type, in the learning step (S10).

[0040] Here, the learning data may include at least one of detection data (D10) obtained by a detection unit (100) including a vision unit such as a camera provided in the charging station (10) and a wireless communication unit, matching data (D20), and waiting position data (D30) for a waiting position (40) in which a charging unit (200) including a charging gun (210) is placed adjacent to the electric vehicle (50) for charging.

[0041] Matching data (D20) may be mutual matching information between data required to calculate the location of the charging port (70) of an electric vehicle (50) parked at a parking location (20).

[0042] As the vehicle data (D10a) is updated by the matching data (D200), the location of the charging port (70) of the electric vehicle (50) can be accurately calculated by simple recognition of the vehicle number, overall appearance, etc. of the electric vehicle (50) entering, so the time required for the charging unit (200) to move to the waiting position (40) for charging and the power consumption associated therewith can be saved.

[0043] When the vehicle number and the charging port location are matched in the vehicle data (D10a) of the electric vehicle (50) stored in the database (350), and when the vehicle number entering the charging station (10) is recognized by the detection unit (100) including the camera vision unit, the vehicle data (D10a) obtained in real time, the parking location (20) and parking direction where the vehicle (50) is to be parked are obtained, and the waiting location (40) to which the charging unit (200) including the charging gun (210) will move can also be calculated and specified.

[0044] In the detection data transmission and processing step (S120), the matching unit (370) determines the consistency between the vehicle data (D10a) stored in the database (350) and the vehicle data (D10a) acquired in real time by the detection unit (100). If the location of the charging port (70) of the electric vehicle (50) is different from the stored vehicle data (D10a), or if multiple locations of the charging port (70) are possible for reasons such as the location of the charging port (70) differing by model for the vehicle (50), the existing vehicle data (D10a) can be updated using the detection data (D10) acquired in real time.

[0045] If charging port location data by vehicle type / model is not provided in advance, the matching unit (370) operates the charging station (10) and uses detection data (D10) obtained from the detection unit (100) to match the information of previously visited vehicles scanned by vehicle number, so that upon revisiting, the location of the charging port (70), battery capacity, etc. of the vehicle (50) can be determined solely by recognizing the vehicle number of the vehicle (50).

[0046] In the case of vehicle recognition through a wireless communication unit, a wireless communication reader unit may be installed inside the entrance / exit of a charging station (10) and interact with the wireless communication tag unit of an electric vehicle. When the wireless communication tag information of the vehicle is recognized, vehicle data (D10a), such as the location of the charging port (70) and battery capacity of the vehicle, can be obtained.

[0047] The charging port location calculation unit (310) can mutually map data stored in the DB (350) of the server (300) through learning and detection data (D10) obtained in real time through the detection unit (100), such as a vision camera, in the mapping step (S130).

[0048] At this time, the data stored in the DB (350) of the server (300) through learning may be of high quality / high definition / high capacity, and the data acquired in real time through the detection unit (100), such as a camera vision unit, may be of low quality / low definition / low capacity.

[0049] Data stored in the DB (350) through learning may have varying data quality due to environmental factors such as jods or data transmission errors, and only high-quality vehicle data (D10a) may be used and stored to update or learn the previously stored data. At this time, low-quality vehicle data (D10a) may also be stored and may be used complementarily / auxiliarily during mapping (S130) in specific cases.

[0050] The mapping method may vary depending on the quality of the real-time data obtained by the detection unit (100). In the case of high quality, the vehicle type can be identified and the location of the charging port (70) can be determined by mapping it directly with the data stored in the DB (350), but in the case of low quality, mapping can be attempted with the data stored in the DB (350) in the same way (S130). If the mapping result is clear, the location of the charging port (70) can be determined after identifying the vehicle type, but if it is determined to be unclear, the low-quality video of the previously captured video of the vehicle type, which is classified as high quality / low quality, can be used as an auxiliary tool to identify the vehicle type or determine the location of the charging port (70).

[0051] In the captured vehicle data (D10a), the illumination over time acts as the most significant variable and can influence the recognition rate. That is, the illumination can act as a factor in generating vehicle data (D10a) of various qualities, such as high quality or low quality. For example, if low-quality detection data of a captured vehicle (50) is obtained depending on the illumination, the matching unit (370) first matches the low-quality detection data with the high-quality vehicle data stored in the database (350), and if they do not match, the low-quality vehicle data associated with each high-quality vehicle data is also linked to complement the matching with the low-quality detection data, thereby improving the computation speed.

[0052] Many of the information included in the vehicle data (D10a) can be utilized in various ways in addition to calculating the location of the charging port (70). For example, it may be necessary to identify the type of electric vehicle (50) separately from the location of the charging port (70). Since there are various types of charging connectors / sockets for each electric vehicle, if the exact type or model is identified using detection data (D10), such as image data, a charging unit (200), such as a robot charger equipped with a charging connector or charging gun (210) corresponding to the electric vehicle (50), can be provided in a customized manner.

[0053] According to FIGS. 5 and 6, the charging port location calculation unit (310) can calculate charging port location data from detection data (D10) of the detection unit (100) and matching data (D20) of the matching unit (370) in the charging port location calculation step (S140), and can calculate the waiting position (D30) of the final charging unit (200) by combining the charging port location data with parking position and parking direction information.

[0054] Here, the charging unit (200) equipped with the charging gun (210) may include at least one of a robot arm, a ceiling-mounted charging device guided downward from above, and a wireless mobile robot. Accordingly, the waiting position (40) can be understood as a position where the charging gun (210) or the charging unit (200) including the charging gun (210) waits before the final charging gun (210) is inserted into the charging port (70) and charging proceeds.

[0055] In an embodiment according to FIGS. 2 and FIG. 6, the location of the charging port (70) may be determined as one of the first charging port (71) to the sixth charging port (76). As described above, the location of the charging port (70) may be determined by vehicle data (D10a) based on the structure of the electric vehicle (50) itself according to the vehicle type / model, parking location data (D10b) regarding the type of parking location (20) within the charging station (10) where the electric vehicle (50) is to be parked, and parking direction data (D10c) regarding the parked parking location (20).

[0056] In the left side of FIG. 6, the charging port location calculation unit (310) combines vehicle data (D10a), parking location data (D10b), parking direction data (D10c), etc. to determine the location of the first charging port (71), and indicates that the first charging gun (211) or the first charging unit (201) is placed at the first waiting location (41) corresponding to the first charging port (71). In the right side of FIG. 6, the charging port location calculation unit (310) combines vehicle data (D10a), parking location data (D10b), parking direction data (D10c), etc. to determine the location of the fifth charging port (75), and indicates that the second charging gun (212) or the second charging unit (202) is placed at the second waiting location (42) corresponding to the fifth charging port (75).

[0057] In this way, the electric vehicle charger of the present invention can accurately calculate the location of the charging port (70) or the waiting location (40) of the parked electric vehicle (50) for all parking locations (20) within the charging station (10) regardless of the position or direction in which it is placed, thereby quickly determining the type of charging unit (200) to be moved to the waiting location (40) or the waiting location (40) to be moved to as it enters or moves into the charging station (10), so that the charging time using the charging unit (200) can be shortened and the power consumption accordingly can be reduced. Explanation of the symbols

[0058] 10... charging station 20, 21, 22, 23... Parking location 40, 41, 42... waiting positions 50, 51, 52... electric vehicles 70, 71, 72, 73, 74, 75, 76... charging port 100... detection unit 200, 201, 202... charging unit 210,211,212... rechargeable gun 300... server 310... Charging port location calculation unit 330... Study Department 350... database 370... Matching section 390... control unit D10... detection data D10a... Vehicle data D10b... Parking location data D10c... Parking direction data D20... Matching data D30... Waiting position data S10... Learning stage S110... Detection data acquisition stage S120... Detection data transmission and processing step S130... Mapping step S140... Charging port location calculation step S150... Step to move charging unit to standby position S160... Charging stage

Claims

Claim 1 An electric vehicle charger comprising: a detection unit that generates detection data regarding a parking location of a charging station and an electric vehicle that has entered the charging station for charging; a server that receives detection data from the detection unit; and a charging unit that receives from the server waiting location data regarding the location of a charging port of a parked electric vehicle or a waiting location corresponding to the location of the charging port for insertion of a charging gun into the charging port. Claim 2 In claim 1, the detection unit includes a vision unit, and when a vehicle license plate is recognized and a vehicle number is obtained, the vehicle is identified solely by the vehicle number and the location of the charging port is also identified in the electric vehicle charger. Claim 3 In claim 1, the detection unit includes a wireless communication unit comprising a tag unit and a reader unit, and when information is transmitted from the tag of the tag unit of the electric vehicle to the reader of the reader unit, the location of the electric vehicle and the charging port is specified. Claim 4 An electric vehicle charger according to claim 1, comprising a learning unit that performs learning using learning data including vehicle data such as the location of a charging port and battery capacity for each electric vehicle model, wherein the learning data includes at least one of the detection data, matching data which is mutual matching information between data necessary for calculating the location of a charging port of an electric vehicle parked in a parking location, and waiting location data regarding a waiting location in which a charging unit including a charging gun is placed adjacent to an electric vehicle for charging. Claim 5 An electric vehicle charger according to claim 1, comprising a charging port location calculation unit that calculates charging port location data from detection data of a detection unit acquired in real time and matching data of a matching unit that has completed AI learning or previously stored vehicle data, and calculates the standby position of a final charging unit by synthesizing the charging port location data, parking position, and parking direction information. Claim 6 In claim 1, the detection data includes vehicle data containing information about the parked electric vehicle itself, such as the location of the charging port by vehicle type / model, battery capacity, overall shape, emblem, and exterior features, and the vehicle data is an electric vehicle charger in which the recognition rate is determined according to the illuminance over time. Claim 7 An electric vehicle charger according to claim 1, wherein the detection data includes parking location data, and the parking location data is distinguished into a parking location where an electric vehicle is parked so as to extend along each axis of a 2D map on the charging station and a parking location where the electric vehicle is parked so as to have a predetermined angle between each axis of a 2D map on the charging station, and the charging port location or waiting location is determined according to the distinguished parking location. Claim 8 An electric vehicle charger according to claim 1, wherein, in cases where the exact vehicle model is not identified solely by the vehicle number or is not linked to a database in which the vehicle number and vehicle model are matched, the location of the charging port of the electric vehicle is identified by the detection unit when a vehicle first enters the charging station, the vehicle number and information of the electric vehicle are matched and stored in a database, and the location of the charging port of the electric vehicle is calculated immediately upon re-entry when only the vehicle number is recognized. Claim 9 An electric vehicle charger according to claim 1, wherein the detection data includes at least one of vehicle data including information about the electric vehicle itself being parked, such as the location of the charging port by vehicle type / model, battery capacity, overall shape, emblem, and exterior features; parking location data including information about the parking location provided at the charging station, such as size, direction, and number; and parking direction data including the direction in which the electric vehicle is finally parked for each parking location, and wherein the location of the charging port or the waiting location is determined by combining the vehicle data, parking location data, and parking direction data. Claim 10 An electric vehicle charger according to claim 1, wherein the mapping method varies depending on the quality of real-time data obtained by the detection unit, and in the case of high quality, it immediately maps with data stored in a database to identify the vehicle type and specify the location of the charging port, in the case of clear matching results, it identifies the vehicle type and specifies the location of the charging port, and in the case of unclear matching results, it utilizes a previously captured video of the electric vehicle identified as low quality as an auxiliary tool to identify the vehicle type or specify the location of the charging port. Claim 11 An electric vehicle charger according to claim 1, comprising a matching unit that determines consistency between vehicle data stored in the database of the server and vehicle data acquired in real time by the detection unit, and if the charging port location is different from the stored vehicle data, updates the stored vehicle data using the detection data acquired in real time. Claim 12 An electric vehicle charger according to claim 1, wherein when an electric vehicle type or model is identified using the detection data, a charging unit equipped with a charging connector or charging gun corresponding to the electric vehicle is customizedly moved.

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