System and method of providing user based electric vehicle charging station context information

KR103020037B1Active Publication Date: 2026-09-15SOFTBERRY CO LTD
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Patent Information

Application Number
KR1020230134255
Authority / Receiving Office
KR · KR
Patent Type
Patents
Current Assignee / Owner
Filing Date
2023-10-10
Publication Date
2026-09-15
Estimated Expiration
2043-10-10

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Abstract

A user-based electric vehicle charging station context information provision system and method are disclosed. The system comprises a user terminal that uploads user input information regarding an electric vehicle charging station and receives and displays AI-based charging station context information; and a charging station context information provision device that generates AI-based charging station context information using the user input information uploaded by the user terminal and transmits it to the user terminal in real time. According to the user-based electric vehicle charging station context information provision system and method described above, by being configured to generate AI-based charging station context information based on user input information and provide it to the user terminal, not only general electric vehicle charging station information, specific context information from a user's perspective regarding each electric vehicle charging station or charger can be mutually shared, and there is an effect that allows the user to verify specific information from a user's perspective and select an electric vehicle charging station or charger when making a selection of an electric vehicle charging station or charger.
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Description

Technology Field

[0001] The present invention relates to an electric vehicle charging station information provision system and method, and more specifically, to a user-based electric vehicle charging station context information provision system and method. Background Technology

[0003] As the number of electric vehicles increases, applications that guide users to charging stations are being widely used. Although there are many charging stations and chargers nationwide, there are many instances where people experience inconvenience due to chargers that are left broken or underperforming.

[0004] While the application can inform users of the current occupancy status of the charger, there are limitations in delivering more detailed information from the user's perspective.

[0005] Users sometimes receive directions to charging stations without being certain whether the station being directed to is properly operational. Furthermore, even when directions are provided, it is often difficult to accurately pinpoint the specific location of the charger. For example, it is frequently difficult to locate chargers installed inside large buildings.

[0006] Therefore, it is necessary to select specific and highly reliable information from a user's perspective regarding the numerous electric vehicle charging stations registered in the application. Prior art literature

[0008] Registered Patent Publication 10-2467920 Published Patent Publication 10-2022-0039522 The problem to be solved

[0009] The objective of the present invention is to provide a user-based electric vehicle charging station context information provision system.

[0010] Another objective of the present invention is to provide a method for providing contextual information on user-based electric vehicle charging stations. means of solving the problem

[0012] A user-based electric vehicle charging station context information providing system according to the purpose of the present invention described above may be configured to include: a user terminal that uploads user input information regarding an electric vehicle charging station and receives and displays information specific to each electric vehicle charging station; and a charging station context information providing device that generates and provides information specific to each electric vehicle charging station using the user input information uploaded by the user terminal.

[0013] Here, the user input information may consist of the user's favorite settings for electric vehicle charging stations.

[0014] And the above information by electric vehicle charging station may consist of usage information by electric vehicle charging station and favorite settings by electric vehicle charging station.

[0015] A user-based electric vehicle charging station context information providing system according to the purpose of the present invention described above may be configured to include: a user terminal that uploads user input information regarding an electric vehicle charging station and receives and displays information specific to each electric vehicle charging station; and a charging station context information providing device that generates and provides information specific to each electric vehicle charging station using the user input information uploaded by the user terminal.

[0016] At this time, the user terminal may be configured to automatically pop up and display a pop-up screen of an electric vehicle charging station corresponding to the GPS location information of the user terminal.

[0017] And the above user terminal can be configured to receive favorite settings on the electric vehicle charging station pop-up screen.

[0018] And the above user input information can be configured as the user's favorite settings for electric vehicle charging stations.

[0019] And the above information by electric vehicle charging station may consist of usage information by electric vehicle charging station and favorite settings by electric vehicle charging station.

[0020] A user-based electric vehicle charging station context information provision method according to another objective of the present invention described above may be configured to include the steps of: a user terminal uploading user input information regarding an electric vehicle charging station; the user terminal receiving and displaying information specific to each electric vehicle charging station; and a charging station context information provision device generating and providing information specific to each electric vehicle charging station using the user input information uploaded by the user terminal.

[0021] At this time, the user terminal may be configured to further include a step of automatically popping up and displaying a pop-up screen of an electric vehicle charging station.

[0022] Here, the user input information may consist of the user's favorite settings for electric vehicle charging stations.

[0023] And the above information by electric vehicle charging station may consist of usage information by electric vehicle charging station and favorite settings by electric vehicle charging station.

[0024] A user-based electric vehicle charging station context information provision method according to another objective of the present invention described above may be configured to include: a step in which a user terminal uploads user input information regarding an electric vehicle charging station; a step in which the user terminal receives and displays information specific to each electric vehicle charging station; a step in which a charging station context information providing device generates and provides information specific to each electric vehicle charging station using the user input information uploaded by the user terminal; and a step in which the user terminal automatically pops up and displays an electric vehicle charging station popup screen corresponding to the GPS location information of the user terminal.

[0025] Here, the user terminal may be configured to receive favorite settings on the electric vehicle charging station pop-up screen.

[0026] And the above user input information can be configured as the user's favorite settings for electric vehicle charging stations.

[0027] And the above information by electric vehicle charging station may consist of usage information by electric vehicle charging station and favorite settings by electric vehicle charging station. Effects of the invention

[0029] According to the user-based electric vehicle charging station context information provision system and method described above, by configuring to generate AI-based charging station context information based on user input information and provide it to a user terminal, not only general electric vehicle charging station information, specific context information from a user's perspective regarding each electric vehicle charging station or charger can be mutually shared, and there is an effect of being able to check specific information from a user's perspective and select an electric vehicle charging station or charger when making a selection of an electric vehicle charging station or charger. Brief explanation of the drawing

[0031] FIG. 1 is a block diagram of a user-based electric vehicle charging station context information provision system according to one embodiment of the present invention. FIGS. 2 and FIGS. 3 are example diagrams of a screen showing context information of an electric vehicle charging station according to an embodiment of the present invention. Specific details for implementing the invention

[0032] The present invention is susceptible to various modifications and may have various embodiments; therefore, specific embodiments are illustrated in the drawings and described in detail in the specific details for carrying out the invention. However, this is not intended to limit the invention to specific embodiments, and it should be understood that the invention includes all modifications, equivalents, and substitutions that fall within the spirit and scope of the invention. Similar reference numerals have been used for similar components in the description of each drawing.

[0033] Terms such as first, second, A, B, etc., may be used to describe various components, but said components should not be limited by said terms. These terms are used solely for the purpose of distinguishing one component from another. For example, without departing from the scope of the present invention, the first component may be named the second component, and similarly, the second component may be named the first component. The term "and / or" includes a combination of a plurality of related described items or any of a plurality of related described items.

[0034] When it is stated that one component is "connected" or "connected" to another component, it should be understood that while it may be directly connected or connected to that other component, there may also be other components in between. On the other hand, when it is stated that one component is "directly connected" or "directly connected" to another component, it should be understood that there are no other components in between.

[0035] The terms used in this application are used merely to describe specific embodiments and are not intended to limit the invention. The singular expression includes the plural expression unless the context clearly indicates otherwise. In this application, terms such as "comprising" or "having" are intended to indicate the presence of the features, numbers, steps, actions, components, parts, or combinations thereof described in the specification, and should be understood as not precluding the existence or addition of one or more other features, numbers, steps, actions, components, parts, or combinations thereof.

[0036] Unless otherwise defined, all terms used herein, including technical or scientific terms, have the same meaning as generally understood by those skilled in the art to which the present invention pertains. Terms such as those defined in commonly used dictionaries should be interpreted as having a meaning consistent with their meaning in the context of the relevant technology, and should not be interpreted in an ideal or overly formal sense unless explicitly defined in this application.

[0037] Hereinafter, preferred embodiments according to the present invention will be described in detail with reference to the attached drawings.

[0038] FIG. 1 is a block diagram of a user-based electric vehicle charging station context information provision system according to an embodiment of the present invention. FIG. 2 and FIG. 3 are example diagrams of a screen showing electric vehicle charging station context information according to an embodiment of the present invention.

[0039] Referring to FIG. 1, a user-based electric vehicle charging station context information providing system according to one embodiment of the present invention may be configured to include a user terminal (100) and a charging station context information providing device (200).

[0040] The detailed composition is explained below.

[0041] A user terminal (100) may be configured to upload user input information regarding an electric vehicle charging station to a charging station context information providing device (200), and to receive and display AI-based charging station context information from the charging station context information providing device (200). The user input information may serve as data for generating AI-based charging station context information, and the user input information may include the user's favorite settings, fault reports, specific charger locations, and various other reports. The AI-based charging station context information may be generated by an AI algorithm according to a predetermined format based on this user input information.

[0042] The user terminal (100) may be configured to include a charging station location information storage module (101), a GPS module (102), a camera module (103), a charging station screen automatic pop-up module (104), a favorite input module (105), a charger fault report input module (106), a charger location input module (107), a user report input module (108), a user input information upload module (109), a charger information upload module (110), a charging speed upload module (111), an AI-based charging station context information real-time reception module (112), an AI-based charging station context information real-time display module (113), and an AI-based charging station context information real-time feedback module (114).

[0043] The detailed composition is explained below.

[0044] The charging station location information storage module (101) can be configured to store the charging station location information of an electric vehicle charging station in advance.

[0045] The GPS module (102) can be configured to measure the current location information of the user terminal (100) in real time.

[0046] The camera module (103) may be configured to generate images of the electric vehicle charging station at the current location. The camera module (103) may be configured to generate images to explain the specific location of the charger, images to report the status of the charger, surrounding images, etc.

[0047] The charging station screen automatic pop-up module (104) can be configured to detect whether the camera module (103) is running. And when the camera module (103) is running as a result of the detection, the charging station screen automatic pop-up module (104) can be configured to automatically pop up and display a charging station screen of an electric vehicle charging station corresponding to the current location information measured in real-time by the GPS module (102) by referring to the charging station location information stored in advance in the charging station location information storage module (101). Here, the charging station screen is a screen for displaying AI-based electric vehicle charging station context information, and AI-based charging station context information such as the charging station route, available chargers, charging time, specific location of the charger, the number of users currently viewing the charging station, and the number of recent fault reports can be displayed as in FIG. 2 or FIG. 3.

[0048] This AI-based charging station contextual information is contextual information from a user's perspective that cannot be provided by general electric vehicle charging station guidance applications, and it can be configured to generate information that users are curious about or want to know based on user input information.

[0049] The favorite input module (105) can be configured to receive the user's favorite settings on the charging station screen displayed in the charging station screen automatic pop-up module (104).

[0050] The charger fault report input module (106) can be configured to receive a charger fault report for the corresponding charging station on the charging station screen displayed in the charging station screen automatic pop-up module (104).

[0051] The charger location input module (107) can be configured to receive the charger location of the corresponding charging station on the charging station screen displayed in the charging station screen automatic pop-up module (104).

[0052] The user report input module (108) can be configured to receive user reports about the corresponding charging station on the charging station screen displayed in the charging station screen automatic pop-up module (104).

[0053] The user input information upload module (109) may be configured to upload user input information to the charging station context information providing device (200), including at least one of the following: an image generated by the camera module (103), a favorite setting received from the favorite input module (105), a charger fault report received from the charger fault report input module (106), a charger location received from the charger location input module (107), and a user report received from the user report input module (108).

[0054] The charger information upload module (110) can be configured to upload charger information of the charger currently being charged to the charging station context information providing device (200).

[0055] The charging speed upload module (111) can be configured to upload the charging speed of the electric vehicle of the user currently charging.

[0056] The AI-based charging station context information real-time receiving module (112) can be configured to receive AI-based charging station context information in real-time from the charging station context information providing device (200).

[0057] The AI-based charging station context information real-time display module (113) can be configured to display the AI-based charging station context information received in real-time from the AI-based charging station context information real-time receiving module (112) in real-time on the corresponding charging station screen.

[0058] The AI-based charging station context information real-time feedback module (114) can be configured to provide real-time feedback to the charging station context information providing device (200) by inputting the reliability of the AI-based charging station context information displayed in real-time by the AI-based charging station context information real-time display module (113). Here, reliability can be information that multiple users input as reliable information regarding various AI-based charging station context information displayed on the charging station screen. For example, if User A reports a malfunction regarding a charger at a specific charging station, and other users visually confirm that the charger at that charging station is malfunctioning, input that they trust the malfunction report and provide feedback to the charging station context information providing device (200).

[0059] Various user input information from various user terminals (100) can be collected by the charging station context information providing device (200), and AI-based charging station context information can be generated therefrom, but there is no way to verify the authenticity of such user input information individually. Accordingly, the authenticity of the user input information can be determined by reliability feedback from other users, and it can be treated as charging station context information with high reliability.

[0060] The charging station context information providing device (200) can be configured to generate AI-based charging station context information using user input information uploaded from the user terminal (100) and transmit it to the user terminal (100) in real time.

[0061] As previously mentioned, the charging station context information providing device (200) can provide high-reliability AI-based charging station context information to the user terminal (100).

[0062] The charging station context information providing device (200) includes a user input information receiving module (201), a user input information storage module (202), a real-time number of connected users per charging station checking module (203), a charging speed receiving module (204), a charging speed storage module per user (205), a user database (206), a user average charging speed calculation module (207), a charging speed storage module per charger (208), an average charging speed calculation module per charger (209), a charger / user charging expected speed real-time calculation module (210), a charger fault report automatic cancellation module (211), a charging station database (212), a charger database (213), a user input information linkage module (214), an AI-based charging station context information generation module (215), an AI-based charging station context information storage module (216), an AI-based charging station context information update module (217), an AI-based charging station context information reliability analysis module (218), an AI-based charging station context information real-time provision module (219), and an AI-based charging station context information reliability reflection module (220). It can be composed.

[0063] The detailed composition is explained below.

[0064] The user input information receiving module (201) can be configured to receive user input information uploaded from the user input information upload module (109).

[0065] The user input information storage module (202) can be configured to store user input information received from the user input information receiving module (201).

[0066] The real-time number of users per charging station check module (203) can be configured to check the real-time number of users per charging station in real time through the charging station screen displayed in the charging station screen automatic pop-up module (104).

[0067] The charging speed receiving module (204) can be configured to receive the charging speed uploaded from the charging speed upload module (111) in real time.

[0068] The user-specific charging speed storage module (205) can be configured to accumulate and store the charging speeds received in real time from the charging speed receiving module (204) for each user. Here, the user-specific charging speed effectively refers to the charging speed of the electric vehicle registered by that user.

[0069] The user database (206) can be configured to store user information in advance.

[0070] The average charging speed calculation module (207) per user may be configured to calculate the average charging speed per user by utilizing the charging speed accumulated in the charging speed storage module (205) by referring to user information previously stored in the user database (206). That is, the average charging speed per electric vehicle of the user can be calculated.

[0071] The charging speed storage module (208) per charger can be configured to store the charging speed received in real time from the charging speed receiving module (204) in a cumulative manner per charger.

[0072] The average charging speed calculation module (209) per charger can be configured to calculate the average charging speed per charger using the charging speed accumulated and stored in the charging speed storage module (208) per charger.

[0073] Charging speed varies depending on the condition and performance of the electric vehicle, as well as the condition and performance of the charger. If the electric vehicle's battery is aged, the charging speed decreases, and similarly, if the charger's performance deteriorates, the charging speed also decreases.

[0074] Accordingly, regardless of charger specifications or electric vehicle specifications, the actual charging speed per user (EV) and the average charging speed per charger are meaningful for predicting actual charging time.

[0075] The charger / user charging estimated speed real-time calculation module (210) can be configured to calculate the user's charging estimated speed in real-time for the charger on the charging station screen displayed in the charging station screen automatic pop-up module (104) using the user-specific average charging speed calculated by the user-specific average charging speed calculation module (207) and the charger-specific average charging speed calculated by the charger-specific average charging speed calculation module (209). Accordingly, a more accurate charging estimated speed and charging estimated time are calculated.

[0076] The charger fault report automatic cancellation module (211) can be configured to automatically cancel the charger fault report of the corresponding charger when the charging speed is received in real time from the charging speed receiving module (204). Even if AI-based electric vehicle context information regarding the fault is generated due to a fault report, there is a problem in that the AI-based electric vehicle context information regarding the fault may remain undeleted even after the fault is resolved. The charger fault report automatic cancellation module (211) can automatically resolve this problem.

[0077] The charging station database (212) can be configured to store charging station information of electric vehicle charging stations in advance.

[0078] The charger database (213) can be configured to store information about the chargers of the electric vehicle charging station in advance.

[0079] The user input information linkage module (214) can be configured to link the user input information stored in the user input information storage module (201) with the corresponding charging station information stored in advance in the charging station database (212) and the corresponding charger information stored in advance in the charger database (213).

[0080] The AI-based charging station context information generation module (215) can be configured to generate AI-based charging station context information using the real-time number of users per charging station confirmed by the real-time number of users per charging station verification module (203), the charging speed received by the charging speed reception module (204), the average charging speed per charger calculated by the average charging speed calculation module (209), the charging speed of the user corresponding to the charger on the charging station screen calculated in real-time by the charger / user charging expected speed real-time calculation module (210), and the user input information linked by the user input information linkage module (214).

[0081] This AI-based charging station context information can be generated based on user input information from multiple users. In this case, common user input information from multiple users can be treated as more reliable user input information.

[0082] For example, if there are multiple reports of failure regarding a specific charger, the AI-based charging station context information generation module (215) can determine that the failure reports are reliable.

[0083] The AI-based charging station context information storage module (216) can be configured to accumulate and store AI-based charging station context information generated by the AI-based charging station context information generation module (215).

[0084] The AI-based charging station context information update module (217) can be configured to analyze the AI-based charging station context information accumulated and stored in the AI-based charging station context information generation module (215), identify changes in the AI-based charging station context information based on the analysis results, and update the existing AI-based charging station context information to the changed AI-based charging station context information based on the analysis results.

[0085] For example, if the number of users' favorite settings increases and then decreases, if reports of malfunctions become more frequent, or if the number of users drops, it can be seen that the AI-based charging station context information for that charging station or charger is changing. In other words, it can be seen that user satisfaction with that charging station or charger is decreasing. Accordingly, it is possible to identify and update such changes in AI-based charging station context information.

[0086] The AI-based charging station context information reliability analysis module (218) may be configured to analyze the reliability of the AI-based charging station context information stored in the AI-based charging station context information storage module (216) based on the number of user input information with the same content within a predetermined period. The more user input information with the same content there is, the more reliable it can be considered.

[0087] The AI-based charging station context information real-time provision module (219) can be configured to provide AI-based charging station context information, which has a reliability level of at least a predetermined standard among the AI-based charging station context information stored in the AI-based charging station context information storage module (216), to a user terminal (100) in real-time.

[0088] The AI-based charging station context information reliability reflection module (220) can be configured to reflect the reliability, which is feedback in real time from the AI-based charging station context information real-time feedback module (114), in real time to the reliability analyzed by the AI-based charging station context information reliability analysis module (218). The reliability can be verified and increased by reliability feedback from other users.

[0089] Meanwhile, the user-based electric vehicle charging station context information provision method may be configured to include the step of a user terminal (100) uploading user input information regarding an electric vehicle charging station, the step of the user terminal (100) receiving and displaying information for each electric vehicle charging station, the step of a charging station context information provision device (200) generating and providing information for each electric vehicle charging station using the user input information uploaded from the user terminal (100), and the step of the user terminal (100) automatically popping up and displaying a popup screen of an electric vehicle charging station corresponding to the GPS location information of the user terminal (100).

[0090] Here, the user terminal (100) can be configured to receive favorite settings from the electric vehicle charging station pop-up screen.

[0091] And user input information can be configured as the user's favorite settings for electric vehicle charging stations.

[0092] In addition, information by electric vehicle charging station can be composed of usage information by charging station and favorite settings by charging station.

[0094] Although the invention has been described with reference to the above embodiments, those skilled in the art will understand that various modifications and changes can be made to the invention without departing from the spirit and scope of the invention as set forth in the following claims. Explanation of the symbols

[0096] 100: User terminal 101: Charging station location information storage module 102: GPS module 103: Camera Module 104: Charging Station Screen Automatic Popup Module 105: Favorites Input Module 106: Charger Fault Report Input Module 107: Charger location input module 108: User Report Input Module 109: User Input Information Upload Module 110: Charger Information Upload Module 111: Charging speed upload module 112: AI-based charging station context information real-time reception module 113: AI-based charging station context information real-time display module 114: AI-based charging station context information real-time feedback module 200: Charging station context information providing device 201: User input information receiving module 202: User input information storage module 203: Module for checking real-time user counts by charging station 204: Charging speed receiving module 205: Per-user charging speed storage module 206: User Database 207: Average charging speed calculation module per user 208: Charging speed storage module per charger 209: Average charging speed calculation module per charger 210: Charger / User Charging Estimated Speed ​​Real-time Calculation Module 211: Charger Fault Report Automatic Cancellation Module 212: Charging Station Database 213: Charger Database 214: User Input Information Integration Module 215: AI-based Charging Station Context Information Generation Module 216: AI-based charging station context information storage module 217: AI-based Charging Station Context Information Update Module 218: AI-based Charging Station Contextual Information Reliability Analysis Module 219: AI-based Real-time Charging Station Context Information Provision Module 220: AI-based Charging Station Contextual Information Reliability Reflection Module

Claims

Claim 1 A user input information receiving module that receives user input information from a user terminal; a user input information storage module that stores user input information received from the user input information receiving module; a real-time number of connected users per charging station checking module that checks the real-time number of connected users per charging station in real time through the charging station screen of the user terminal; a charging speed receiving module that receives charging speed in real time from the user terminal; a user-specific charging speed storage module that accumulates and stores the charging speed received in real time from the charging speed receiving module for each user; a user database in which user information is stored in advance; a user-specific average charging speed calculation module that calculates the average charging speed per user by referring to the user information stored in advance in the user database and using the charging speed accumulated and stored in the user-specific charging speed storage module; a charger-specific charging speed storage module that accumulates and stores the charging speed received in real time from the charging speed receiving module for each charger; a charger-specific average charging speed calculation module that calculates the average charging speed per charger using the charging speed accumulated and stored in the charger-specific charging speed storage module; and a real-time estimated charging speed for the corresponding user for the charger on the charging station screen of the user terminal using the user-specific average charging speed calculated by the user-specific average charging speed calculation module and the charger-specific average charging speed calculated by the charger-specific average charging speed calculation module. A real-time calculation module for the estimated charging speed of a charger / user; an automatic charger fault report cancellation module that automatically cancels the charger fault report of the corresponding charger when the charging speed is received in real-time from the charging speed receiving module; a charging station database in which charging station information of an electric vehicle charging station is stored in advance; and a charger database in which charger information of the electric vehicle charging station is stored in advance.A charging station context information providing device comprising: a user input information linkage module that links user input information stored in the user input information storage module with corresponding charging station information pre-stored in the charging station database and corresponding charger information pre-stored in the charger database; an AI-based charging station context information generation module that generates AI-based charging station context information using the real-time number of connected users per charging station confirmed by the real-time number of connected users per charging station confirmed by the charging speed reception module, the charging speed received by the charging speed reception module, the average charging speed per charger calculated by the average charging speed calculation module per charger, the charging speed of the corresponding user for the charger on the charging station screen calculated in real-time by the charger / user charging prediction speed real-time calculation module, and user input information linked by the user input information linkage module; an AI-based charging station context information storage module in which the AI-based charging station context information generated by the AI-based charging station context information generation module is accumulated and stored; and an AI-based charging station context information real-time provision module that provides the AI-based charging station context information stored in the AI-based charging station context information storage module to the user terminal in real-time. Claim 2 A charging station location information storage module in which charging station location information of an electric vehicle charging station is stored in advance; a GPS module that measures current location information in real time; a camera module that generates an image of the electric vehicle charging station at the current location; a charging station screen automatic pop-up module that detects whether the camera module is running, and if the camera module is running as a result of detection, refers to the charging station location information stored in advance in the charging station location information storage module and automatically pops up and displays a charging station screen of the electric vehicle charging station corresponding to the current location information measured in real time by the GPS module; a favorites input module that receives user favorite settings on the charging station screen displayed by the charging station screen automatic pop-up module; a charger fault report input module that receives a report of a charger fault at the corresponding charging station on the charging station screen displayed by the charging station screen automatic pop-up module; a charger location input module that receives the location of the charger at the corresponding charging station on the charging station screen displayed by the charging station screen automatic pop-up module; a user report input module that receives user reports regarding the corresponding charging station on the charging station screen displayed by the charging station screen automatic pop-up module; an image generated by the camera module, favorite settings received by the favorites input module, and a charger fault received by the charger fault report input module. A user input information upload module that uploads user input information, including at least one of a report, a charger location received from the charger location input module, and a user report received from the user report input module, to a charging station context information providing device; a charger information upload module that uploads charger information of a charger currently being charged to the charging station context information providing device; a charging speed upload module that uploads the charging speed of the user's electric vehicle currently being charged; and an AI-based charging station context information real-time receiving module that receives AI-based charging station context information in real-time from the charging station context information providing device.A user terminal comprising an AI-based charging station context information real-time display module that displays AI-based charging station context information received in real-time from the above-mentioned AI-based charging station context information real-time reception module on the corresponding charging station screen in real-time. Claim 3 A user terminal that uploads user input information regarding an electric vehicle charging station and receives and displays AI-based charging station context information; and a charging station context information providing device that generates AI-based charging station context information using user input information uploaded by the user terminal and transmits it to the user terminal in real time, wherein the user terminal includes: a charging station location information storage module in which charging station location information of an electric vehicle charging station is stored in advance; a GPS module that measures current location information in real time; a camera module that generates an image of an electric vehicle charging station at the current location; a charging station screen automatic pop-up module that detects whether the camera module is executed, and if the camera module is executed as a result of detection, refers to the charging station location information stored in advance in the charging station location information storage module and automatically pops up and displays a charging station screen of an electric vehicle charging station corresponding to the current location information measured in real time by the GPS module; a favorites input module that receives user favorite settings on the charging station screen displayed by the charging station screen automatic pop-up module; a charger fault report input module that receives a report of a charger fault at the corresponding charging station on the charging station screen displayed by the charging station screen automatic pop-up module; and a charger location input module that receives the location of the charger at the corresponding charging station on the charging station screen displayed by the charging station screen automatic pop-up module. Module; a user report input module that receives user reports regarding the corresponding charging station on the charging station screen displayed in the charging station screen automatic pop-up module; and a user input information upload module that uploads user input information to the charging station context information providing device, the user input information including at least one of an image generated by the camera module, a favorite setting received from the favorite input module, a charger fault report received from the charger fault report input module, a charger location received from the charger location input module, and a user report received from the user report input module.The charging station context information providing device is configured to include: a charger information upload module that uploads charger information of a charger currently being charged to the charging station context information providing device; a charging speed upload module that uploads the charging speed of the electric vehicle of the user currently being charged; an AI-based charging station context information real-time receiving module that receives AI-based charging station context information in real-time from the charging station context information providing device; and an AI-based charging station context information real-time display module that displays the AI-based charging station context information received in real-time from the AI-based charging station context information real-time receiving module in real-time on the corresponding charging station screen in real-time, and the charging station context information providing device comprises: a user input information receiving module that receives user input information uploaded from the user input information upload module; a user input information storage module that stores user input information received from the user input information receiving module; a real-time number of users per charging station checking module that checks the number of real-time users per charging station in real-time through the charging station screen displayed in the charging station screen automatic pop-up module; a charging speed receiving module that receives the charging speed uploaded from the charging speed upload module in real-time; a user-specific charging speed storage module that accumulates and stores the charging speed received in real-time from the charging speed receiving module for each user; a user database in which user information is stored in advance; and by referring to the user information stored in advance in the user database A user-specific average charging speed calculation module that calculates the user-specific average charging speed using the charging speed accumulated and stored in the user-specific charging speed storage module; a charger-specific charging speed storage module in which the charging speed received in real time from the charging speed receiving module is accumulated and stored for each charger; and a charger-specific average charging speed calculation module that calculates the charger-specific average charging speed using the charging speed accumulated and stored in the charger-specific charging speed storage module.A charger / user charging estimate speed real-time calculation module that calculates in real-time the user's charging estimate speed for a charger on the charging station screen displayed in the charging station screen automatic pop-up module, using the user-specific average charging speed calculated by the user-specific average charging speed calculation module and the charger-specific average charging speed calculated by the charger-specific average charging speed calculation module; a charger fault report automatic cancellation module that automatically cancels the charger fault report for the corresponding charger when the charging speed is received in real-time by the charging speed reception module; a charging station database in which charging station information of the electric vehicle charging station is stored in advance; a charger database in which charger information of the electric vehicle charging station is stored in advance; a user input information linkage module that links the user input information stored in the user input information storage module with the corresponding charging station information stored in the charging station database and the corresponding charger information stored in the charger database; the real-time number of connected users per charging station confirmed by the charging station-specific real-time connected user verification module, the charging speed received by the charging speed reception module, the charger-specific average charging speed calculated by the charger-specific average charging speed calculation module, the charging estimate speed for the corresponding user for a charger on the charging station screen calculated in real-time by the charger / user charging estimate speed real-time calculation module, and the user A user-based electric vehicle charging station context information provision system characterized by being configured to include: an AI-based charging station context information generation module that generates AI-based charging station context information using user input information linked in an input information linkage module; an AI-based charging station context information storage module in which the AI-based charging station context information generated by the AI-based charging station context information generation module is accumulated and stored; and an AI-based charging station context information real-time provision module that provides the AI-based charging station context information stored in the AI-based charging station context information storage module to the user terminal in real-time. 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Citation Information

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