AI-based Dynamic Pricing System for Electric Vehicle Charging Stations

Abstract

The present invention provides an AI-based dynamic pricing system for electric vehicle charging stations. The system includes a user terminal carried by a user who is driving an electric vehicle and searches for an electric vehicle charging station and applies for an electric vehicle charging reservation, an electric vehicle charging payment terminal that performs payment when charging an electric vehicle corresponding to the electric vehicle charging reservation applied for at the user terminal, an electric vehicle charging payment server that performs payment with the electric vehicle charging station based on the payment performed at the electric vehicle charging payment terminal, and an electric vehicle charging station terminal that inquires about and confirms the electric vehicle charging reservation at the electric vehicle charging station, and the electric vehicle charging payment server is configured to determine the electric vehicle charging price at each electric vehicle charging station. The system is configured to automatically adjust the electric vehicle charging price in real time using an AI algorithm, taking into account the electric vehicle route, traffic volume, real-time reservation status, location, charging price of competitive charging stations, etc., thereby maximizing the profits of electric vehicle charging stations and increasing the satisfaction of electric vehicle users.

Description

Technical Field

[0001] The present invention relates to a charging price determination algorithm for electric vehicle charging stations, and more specifically, to an AI-based dynamic pricing system for electric vehicle charging stations.

Background Art

[0002] With the increasing popularity of electric vehicles, the number of electric vehicle charging stations is rapidly increasing. Since it takes a little more time to charge an electric vehicle than to refuel, the charging waiting time and the availability of various auxiliary facilities have a great impact on the choice of charging stations.

[0003] Similar to gas stations, electric vehicle charging stations are priced differently for each charging station. Electric vehicle users prefer charging stations with lower prices or those with various auxiliary facilities.

[0004] Users search for electric vehicle charging stations and use payment services for charging by using electric vehicle charging search and payment apps such as EV Infra.

[0005] It is very difficult to set an appropriate charging price that is attractive enough to induce electric vehicles to come and charge. If the charging price is too high, customers may be snatched away by competing charging stations, and if the price is set too low, there will be a problem that the revenue will be too low.

[0006] It is not only difficult to monitor the charging prices of other electric vehicle charging stations one by one, but it is even more difficult to search for an appropriate charging price that can maximize revenue.

[0007] Therefore, there is an increasing demand for solutions for setting and adjusting the charging prices of electric vehicle charging stations.

Summary of the Invention

Problems to be Solved by the Invention

[0008] An object of the present invention is to provide an AI-based dynamic pricing system for electric vehicle charging stations.

Means for Solving the Problems

[0009] The AI-based dynamic pricing system for electric vehicle charging stations according to the object of the present invention described above can be configured to include a user terminal carried by a user operating an electric vehicle, searching for an electric vehicle charging station, and applying for an electric vehicle charging reservation, an electric vehicle charging settlement terminal device that performs settlement when charging an electric vehicle corresponding to the electric vehicle charging reservation applied for by the user terminal, and an electric vehicle charging settlement server that performs settlement with the electric vehicle charging station based on the settlement performed by the electric vehicle charging settlement terminal device.

[0010] Here, the electric vehicle charging settlement server can be configured to determine the electric vehicle charging price of each electric vehicle charging station.

[0011] And it can be further configured to include an electric vehicle charging station terminal that inquires and confirms an electric vehicle charging reservation at the electric vehicle charging station.

Effects of the Invention

[0012] According to the AI-based dynamic pricing system for electric vehicle charging stations described above, by being configured to automatically adjust the electric vehicle charging price in real time by an AI algorithm in consideration of the route, traffic volume, real-time reservation status, location, charging price of competing charging stations, etc. of the electric vehicle, it is possible to maximize the revenue of electric vehicle charging stations and also improve the satisfaction of electric vehicle users.

Brief Description of the Drawings

[0013]

Figure 1

Best Mode for Carrying Out the Invention

[0014] The present invention can be subject to various modifications and can have various embodiments. However, specific embodiments will be illustrated in the drawings and the specific content for carrying out the invention will be described in detail. It should be understood, however, that this is not intended to limit the present invention to specific embodiments, but rather to include all modifications, equivalents, and alternatives that fall within the spirit and scope of the present invention. Similar reference numerals have been used for similar components throughout the description of the drawings.

[0015] Terms such as first, second, A, B, etc. can be used to describe various components, but the components should not be limited by these terms. These terms are used only for the purpose of distinguishing one component from another. For example, without departing from the scope of the present invention, the first component can be named the second component, and a similar second component can also be named the first component. The term "and / or" includes any combination of a plurality of related listed items or any of the plurality of related listed items.

[0016] When a component is referred to as being "connected" or "coupled" to another component, it should be understood that it can be directly connected or coupled to the other component, but there may also be other components in between. In contrast, when a component is referred to as being "directly connected" or "directly coupled" to another component, it should be understood that there are no other components in between.

[0017] The terms used in this application are merely used to describe specific embodiments and are not intended to limit the present invention. Singular expressions include plural expressions unless the context clearly indicates otherwise. In this application, terms such as "including" or "having" are intended to specify the existence of features, numbers, steps, operations, components, parts, or combinations thereof described in the specification, and it should be understood that they do not preclude the existence or addition possibility of one or more other features, numbers, steps, operations, components, parts, or combinations thereof.

[0018] Unless otherwise defined, it includes technical and scientific terms, and all terms used herein have the same meaning as commonly understood by those with ordinary knowledge in the technical field to which the present invention pertains. Terms such as those that are commonly used and pre-defined should be interpreted to have a meaning consistent with the meaning in the context of the related art, and unless clearly defined in this application, they should not be interpreted in an ideal or overly formal sense.

[0019] Hereinafter, preferred embodiments according to the present invention will be described in detail with reference to the accompanying drawings.

[0020] FIG. 1 is a block configuration diagram of an AI-based dynamic pricing system for an electric vehicle charging station according to an embodiment of the present invention.

[0021] Referring to FIG. 1, an AI-based dynamic pricing system for an electric vehicle charging station according to an embodiment of the present invention can be configured to include a user terminal 100, an electric vehicle charging station terminal 200, an electric vehicle charging settlement terminal 300, and an electric vehicle charging settlement server 400.

[0022] Hereinafter, a detailed configuration will be described.

[0023] The user terminal 100 can be configured to be carried by a user operating an electric vehicle, search for an electric vehicle charging station, and apply to the electric vehicle charging settlement server 400 for an electric vehicle charging reservation. For example, the user can install an app such as EV Infra on the user terminal 100 to use not only the electric vehicle charging reservation but also the settlement service.

[0024] The electric vehicle charging station terminal 200 can be configured to inquire about and confirm an electric vehicle charging reservation through the electric vehicle charging settlement server 400 at the electric vehicle charging station.

[0025] And the electric vehicle charging station terminal 200 can be configured to update in real time at the electric vehicle charging settlement server 400 information such as business hours, electric vehicle charging methods, the number of electric vehicle chargers, the number of electric vehicle chargers currently in use, the reservation status of each electric vehicle charger, the available reservation time for each electric vehicle charger, the failure information of the electric vehicle charger, the availability of various additional facilities for the convenience of users, and the parkability.

[0026] On the other hand, the electric vehicle charging station terminal 200 can be configured to receive a manual input of the electric vehicle charging price and transmit it to the electric vehicle charging settlement server 400. The electric vehicle charging settlement server 400 can preferentially set the electric vehicle charging price set by the electric vehicle charging station terminal 200.

[0027] The electric vehicle charging settlement terminal 300 can be configured to be installed at the electric vehicle charging station and perform settlement during electric vehicle charging. The electric vehicle charging settlement terminal 300 can be provided for each electric vehicle charger at the electric vehicle charging station. The electric vehicle charging settlement terminal 300 can be configured to be able to perform settlement using various methods such as up card and NFC settlement.

[0028] The electric vehicle charging settlement server 400 can be configured to perform settlement with the electric vehicle charging station based on the settlement performed by the electric vehicle charging settlement terminal 300.

[0029] The electric vehicle charging settlement server 400 can basically be configured to receive an application for an electric vehicle charging reservation from the user terminal 100 to electric vehicle charging stations and complete the reservation through the corresponding electric vehicle charging station terminal 200.

[0030] Then, the electric vehicle charging settlement server 400 can be configured to act as an agent for the electric vehicle charging settlement service by means of the user terminal 100, a plastic card, etc., and deduct a part of the fee for the settlement amount.

[0031] In addition, the electric vehicle charging settlement server 400 can be configured to determine the electric vehicle charging price of each electric vehicle charging station by an AI algorithm considering various factors.

[0032] The electric vehicle charging settlement server 400 can be configured to set a price that is dynamic in real time. The electric vehicle charging settlement server 400 can set the price not only to guarantee and maximize the profits of each electric vehicle charging station, but also to improve the satisfaction of users.

[0033] The electric vehicle charging settlement server 400 can be configured to include an electric vehicle charging station database 401, an electric vehicle charging station location analysis module 402, a competing electric vehicle charging station selection module 403, an electric vehicle location information real-time collection module 404, an electric vehicle route calculation module 405, an electric vehicle route database 406, an electric vehicle traffic volume calculation module 407, a traffic volume-based electric vehicle charging station location calculation module 408, an electric vehicle charging station-by-charging electricity unit price real-time confirmation module 409, a charging electricity unit price database 410, an electric vehicle charging necessity status confirmation module 411, an electric vehicle charging station-by-charging price database 412, an AI-based electric vehicle charging station-by-real-time price determination module 413, an AI-based electric vehicle charging station-by-real-time price update module 414, an AI-based electric vehicle charging station-by-real-time price transmission module 415, an electric vehicle charging real-time reservation module 416, an electric vehicle charging real-time reservation information storage module 417, an electric vehicle charging real-time reservation information transmission module 418, an electric vehicle charging settlement module 419, an AI-based electric vehicle charging pattern analysis module 420, and an electric vehicle charging station-by-profit prediction module 421.

[0034] The following will explain the detailed configuration.

[0035] The electric vehicle charging station database 401 can be configured to store electric vehicle charging station information. The electric vehicle charging station information can include information such as the brand, location, business hours, electric vehicle charging method, number of electric vehicle chargers, number of currently charging electric vehicle chargers, reservation status of each electric vehicle charger, reservable time for each electric vehicle charger, failure information of the electric vehicle charger, various additional facilities for the convenience of users, and whether parking is available. Such electric vehicle charging station information can be updated in real time through the electric vehicle charging station terminal 200.

[0036] The electric vehicle charging station site analysis module 402 can be configured to analyze the location of electric vehicle charging stations by using the electric vehicle charging station information stored in the electric vehicle charging station database 401. The location of the electric vehicle charging station can be analyzed based on, for example, the traffic volume of the surrounding roads, the traffic volume of electric vehicles on the surrounding roads, and the presence or absence of competing electric vehicle charging stations within a predetermined radius.

[0037] The competing electric vehicle charging station selection module 403 can be configured to select competing electric vehicle charging stations of the electric vehicle charging station based on the analysis results of the electric vehicle charging station site analysis module 402.

[0038] The electric vehicle position information real-time collection module 404 can be configured to collect electric vehicle position information from the user terminal 100 in real time.

[0039] The electric vehicle route calculation module 405 can be configured to calculate the electric vehicle route by using the electric vehicle position information collected in real time by the electric vehicle position information real-time collection module 404 and the navigation route.

[0040] The electric vehicle route database 406 can be configured to store the electric vehicle routes of each electric vehicle calculated by the electric vehicle route calculation module 405. The electric vehicle routes can be stored in an encrypted state so that they cannot be queried, and can be decrypted and used only for price determination and site analysis by AI.

[0041] The electric vehicle traffic volume calculation module 407 can be configured to calculate the real-time traffic volume of electric vehicles on each electric vehicle route by using the electric vehicle position information collected in real time by the electric vehicle position information real-time collection module 404 and the electric vehicle routes stored in the electric vehicle route database 406.

[0042] The traffic volume-based electric vehicle charging station location calculation module 408 can be configured to quantify and calculate the location of each electric vehicle charging station based on the electric vehicle traffic volume on the electric vehicle route calculated in real time by the electric vehicle traffic volume calculation module 407. That is, the traffic volume-based electric vehicle charging station location calculation module 408 can be configured to calculate the location by quantifying the electric vehicle traffic volume of a specific electric vehicle charging station on a monthly or annual basis, etc. by period. At this time, the traffic volume-based electric vehicle charging station location calculation module 408 can be configured to calculate the traffic volume-based location by dividing the traffic volume quantified by period by the number of other competing electric vehicle charging stations on the same road in the vicinity.

[0043] The real-time confirmation module 409 for the electricity unit price for charging by electric vehicle charging station can be configured to confirm the electricity unit price for charging for each electric vehicle charging station in real time. The real-time confirmation module 409 for the electricity unit price for charging by electric vehicle charging station can be configured to confirm the electricity unit price for charging through each electric vehicle charging station terminal 200 or through the corresponding power supply company. The electricity unit price for charging may vary depending on the time zone, power production source, etc. For example, the electricity unit price for charging may be low at night, and it may also be relatively low in the case of electricity produced by renewable energy sources.

[0044] The electricity unit price database 410 for charging can be configured to store and organize the electricity unit price for charging for each electric vehicle charging station confirmed in real time by the real-time confirmation module 409 for the electricity unit price for charging by electric vehicle charging station.

[0045] The electric vehicle charging requirement confirmation module 411 can be configured to confirm the electric vehicle charging requirement situation in real time from the user terminal 100. The electric vehicle charging requirement situation can be configured to be input through an app installed on the user terminal 100 whether it is currently in a situation where electric vehicle charging is required. If it is possible to confirm in real time whether the user's electric vehicle is in a situation where electric vehicle charging is required, the accuracy can be further improved in the adjustment of the electric vehicle charging price and reservation recommendation.

[0046] The charging price database 412 for each electric vehicle charging station can be configured to store the charging prices for each electric vehicle charging station. The current charging prices in the charging price database 412 for each electric vehicle charging station can be updated and stored in real time, and cumulative records can also be stored.

[0047] The real-time price determination module 413 for each electric vehicle charging station based on AI can be configured to determine the real-time charging price for each electric vehicle charging station by using an AI algorithm based on the electric vehicle charging station information stored in the electric vehicle charging station database 401, the competing electric vehicle charging stations selected by the competing electric vehicle charging station selection module 403, the electric vehicle traffic volume calculated in real time on each electric vehicle route by the electric vehicle traffic volume calculation module 407, the electricity unit price for charging for each electric vehicle charging station stored in the electricity unit price database 410 for charging electric vehicles, the electric vehicle charging requirement status confirmed in real time by the electric vehicle charging requirement status confirmation module 411, and the charging price for each electric vehicle charging station stored in the charging price database 412 for each electric vehicle charging station.

[0048] The AI algorithm can be set in various ways. For example, it can be configured to adjust the electric vehicle charging price in real time considering the current electric vehicle traffic volume, the number of currently available electric vehicle chargers and the reservable time at a specific electric vehicle charging station, the number of currently available electric vehicle chargers and the reservable time at competing electric vehicle charging stations, and the electric vehicle charging requirement status of the electric vehicles passing by in the vicinity. When there is a long remaining reservable time and there are many electric vehicles in a charging requirement situation, it is possible to automatically set the electric vehicle charging price higher in real time compared to the current price.

[0049] Also, the electric vehicle charging price can be basically configured to be determined within a price range for ensuring basic profits due to the increase and decrease of the electricity unit price for charging.

[0050] When the AI-based real-time price determination module 413 for each electric vehicle charging station receives the electric vehicle charging price from the electric vehicle charging station terminal 200, it can set the received electric vehicle charging price with priority over the electric vehicle charging price determined by the AI algorithm.

[0051] If the electric vehicle charging price is manually set, the electric vehicle charging price of the competing electric vehicle charging stations can be reset based on the manually set electric vehicle charging price.

[0052] The AI-based real-time price update module 414 for each electric vehicle charging station can be configured to update and store the real-time charging price for each electric vehicle charging station determined by the AI-based real-time price determination module 413 in the charging price database 412 for each electric vehicle charging station.

[0053] The AI-based real-time price transmission module 415 for each electric vehicle charging station can be configured to transmit the real-time charging price for each electric vehicle charging station determined by the AI-based real-time price determination module 413 to each electric vehicle charging station terminal 200 and the user terminal 100 in real time.

[0054] The electric vehicle charging station terminal 200 can receive the electric vehicle charging station price and set it for each electric vehicle charging settlement terminal unit 300.

[0055] The electric vehicle real-time charging reservation module 416 can be configured to make a real-time reservation for electric vehicle charging according to the request of the user terminal 100.

[0056] The electric vehicle real-time charging reservation module 416 can generate electric vehicle real-time charging reservation information, and the electric vehicle real-time charging reservation information can include information such as the electric vehicle charging station, the electric vehicle charger ID, the vehicle number of the electric vehicle, the electric vehicle charging price, and the electric vehicle charging reservation time.

[0057] The electric vehicle charging actual time reservation information storage module 417 can be configured to store the electric vehicle charging actual time reservation information according to the actual time reservation of the electric vehicle charging actual time reservation module 416.

[0058] The electric vehicle charging actual time reservation information transmission module 418 can be configured to transmit the electric vehicle charging actual time reservation information stored in the electric vehicle charging actual time reservation information storage module 417 to the corresponding electric vehicle charging station terminal 200 and the corresponding user terminal 100 in real time. At this time, the electric vehicle charging settlement terminal 300 may be equipped with a separate camera module (not shown). The camera module (not shown) recognizes the vehicle number of the electric vehicle in front of the electric vehicle charging settlement terminal 300. When it is confirmed that it is the reserved vehicle and the charging reservation time has arrived, the charging lock of the electric vehicle charger can be configured to be released. Thereby, charging of other electric vehicles can be prevented and charging for the reserved electric vehicle can be guaranteed.

[0059] The electric vehicle charging settlement module 419 can be configured to perform settlement with the corresponding electric vehicle charging station according to the settlement performed at the electric vehicle charging settlement terminal 300. The electric vehicle charging station's settlement module 419 can collect a settlement fee and act on behalf of the settlement for each electric vehicle charging.

[0060] The AI-based electric vehicle charging pattern analysis module 420 uses an AI algorithm to analyze the electric vehicle charging pattern in real time based on the competing electric vehicle charging stations selected by the competing electric vehicle charging station selection module 403, the electric vehicle traffic volume calculated in real time on each electric vehicle route by the electric vehicle traffic volume calculation module 407, the electric vehicle routes of each electric vehicle stored in the electric vehicle route database 406, the charging prices for each electric vehicle charging station stored in the electric vehicle charging station-by-charging price database 412, the charging electricity unit prices for each electric vehicle charging station stored in the charging electricity unit price database 410, the location of each electric vehicle charging station calculated by the traffic volume-based electric vehicle charging station location calculation module 408, and the electric vehicle charging actual time reservation information stored in the electric vehicle charging actual time reservation information storage module 417.

[0061] Here, the revenue prediction module 421 for each electric vehicle charging station can be configured to include a pattern analysis unit 420a for each electric vehicle charging station and a pattern analysis unit 420b for each user.

[0062] The pattern analysis unit 420a for each electric vehicle charging station can be configured to analyze the charging pattern for each electric vehicle charging station in real time, and the pattern analysis unit 420b for each user can be configured to analyze the charging pattern for each user in real time.

[0063] For example, the pattern analysis unit 420a for each electric vehicle charging station can analyze in real time how the electric vehicle charging pattern of each electric vehicle charging station appears based on factors such as the number of competing electric vehicle charging stations, the electric vehicle traffic volume, the location based on traffic volume, the electric vehicle route, the charging price for each electric vehicle charging station, and the unit price of electricity for charging. For example, the electric vehicle charging pattern of each electric vehicle charging station can lead to more electric vehicle charging reservations as the electric vehicle traffic volume is higher, or the number of competing electric vehicle charging stations is lower, and the charging price of the electric vehicle charging station is lower, or the gap between the unit price of electricity for charging and the charging price of the electric vehicle charging station is smaller, and the location based on traffic volume is larger, and the number of electric vehicle routes is more. And in the opposite situation, it can show an electric vehicle charging pattern with fewer electric vehicle charging reservations.

[0064] However, if the electric vehicle pattern appears differently from such a general prediction pattern, it may be that the electric vehicle charging price is set incorrectly, or the attached facilities are poor, or the situation of free parking has an adverse effect. That is, there may be other problems with the corresponding electric vehicle charging station when it appears differently from the general prediction pattern. In such a case, setting a lower electric vehicle charging price than that of competing electric vehicle charging stations may increase the reservations.

[0065] The analysis results of the pattern analysis unit 420a for each electric vehicle charging station can be configured to be reflected in the AI-based real-time price determination module 413 for each electric vehicle charging station. The AI-based real-time price determination module 413 for each electric vehicle charging station can be configured to determine the electric vehicle charging price of the corresponding electric vehicle charging station by reflecting the pattern analysis results.

[0066] On the other hand, the pattern analysis unit 420a for each electric vehicle charging station can be configured to analyze the electric vehicle charging pattern for each electric vehicle charging price by using the cumulative record of the charging price for each electric vehicle charging station stored in the charging price database 412 for each electric vehicle charging station.

[0067] On the other hand, the pattern analysis unit 420b for each user can perform real-time analysis of how the electric vehicle charging pattern of each user appears based on the number of competing electric vehicle charging stations, the electric vehicle traffic volume, the location based on the traffic volume, the electric vehicle route, the charging price for each electric vehicle charging station, the unit price of electricity for charging, etc. For example, the electric vehicle charging pattern of a user is that the lower the price of the electric vehicle charging station, the higher the possibility of applying for an electric vehicle reservation. However, regardless of the price of the electric vehicle charging station, other options can also be selected and a reservation can be applied for depending on the attached facilities, whether there is free parking, and the waiting time. Thus, the electric vehicle charging pattern of the user can be continuously analyzed to grasp the electric vehicle charging pattern for each user. Such an electric vehicle charging pattern for each user can be reflected when the AI-based real-time price determination module 413 for each electric vehicle charging station determines the real-time price for each electric vehicle charging station.

[0068] On the other hand, the AI-based electric vehicle charging pattern analysis module 420 grasps the electric vehicle routes stored in the electric vehicle route database 406 for each user, and can be configured to extract the main electric vehicle routes for each user that are frequently used by the user for commuting to and from work, etc. Then, the AI-based electric vehicle charging pattern analysis module 420 can be configured to extract all the electric vehicle charging stations on the main electric vehicle route for each user. At this time, when there are several electric vehicle charging stations on the main electric vehicle route, it can be configured to analyze the pattern for the usage history of each electric vehicle charging station. And through that pattern, it can analyze whether there is an electric vehicle charging station that the user particularly frequently uses, and automatically analyze the differences in price, attached facilities, etc. between the corresponding electric vehicle charging station and other electric vehicle charging stations on the main electric vehicle route to analyze the user's preferences. It can be configured to analyze whether each user's preference is price, attached facilities, or there is no such preference, etc., and provide this to the corresponding electric vehicle charging station. Each electric vehicle charging station can focus on satisfying the preferences of the electric vehicle users passing by in front of it every day based on the analysis results for its own electric vehicle charging station and conduct its business.

[0069] The revenue prediction module 421 for each electric vehicle charging station can be configured to predict the revenue for each electric vehicle charging station using the electric vehicle charging pattern analyzed in real time by the AI-based electric vehicle charging pattern analysis module 420. Through this, the electric vehicle charging station operator can make business decisions such as expanding attached facilities, expanding parking lots, and expanding electric vehicle chargers.

[0070] In particular, the revenue prediction module 421 for each electric vehicle charging station can predict the revenue using the electric vehicle charging pattern analyzed using the cumulative record of the charging price for each electric vehicle charging station analyzed by the AI-based electric vehicle charging pattern analysis module 420.

[0071] The electric vehicle charging station-specific revenue prediction module 421 can be configured to predict the revenue for each electric vehicle charging station by using the electric vehicle charging patterns analyzed in real time by the AI-based electric vehicle charging pattern analysis module 420.

[0072] Although the embodiments have been described with reference to the above, those skilled in the relevant technical field will understand that the present invention can be variously modified and changed without departing from the spirit and scope of the present invention described in the following claims.

Claims

1. A user terminal carried by a user during the operation of an electric vehicle, for searching for an electric vehicle charging station and applying for an electric vehicle charging reservation; An electric vehicle charging station terminal of the electric vehicle charging station capable of manually inputting the electric vehicle charging price; An electric vehicle charging settlement terminal device provided at the electric vehicle charging station for performing settlement during electric vehicle charging corresponding to the electric vehicle charging reservation applied by the user terminal; An electric vehicle charging settlement server for determining the electric vehicle charging price of the electric vehicle charging station, including: The electric vehicle charging settlement server includes: An electric vehicle charging station database storing electric vehicle charging station information, a competing electric vehicle charging station selection module for selecting competing electric vehicle charging stations, an electric vehicle traffic volume calculation module for calculating the real-time electric vehicle traffic volume on each electric vehicle route, a charging electricity unit price database storing the charging electricity unit price for each electric vehicle charging station, an electric vehicle charging requirement status confirmation module for real-time confirmation of the electric vehicle charging requirement status from the user terminal, an electric vehicle charging station-by-charging price database storing the charging price for each electric vehicle charging station, and an AI-based real-time price determination module for each electric vehicle charging station that uses an AI algorithm to determine the real-time electric vehicle charging price for each electric vehicle charging station based on the electric vehicle charging station information, the selected competing electric vehicle charging stations, the electric vehicle traffic volume, the charging electricity unit price for each electric vehicle charging station, the electric vehicle charging requirement status, and the charging price for each electric vehicle charging station, and an AI-based real-time price transmission module for each electric vehicle charging station that transmits the electric vehicle charging price determined by the AI-based real-time price determination module for each electric vehicle charging station to the electric vehicle charging station terminal and the user terminal in real time; The electric vehicle charging station terminal is an AI-based dynamic pricing system for an electric vehicle charging station that receives the charging price for each electric vehicle charging station from the electric vehicle charging settlement server and sets it in the electric vehicle charging settlement terminal device.

2. The electric vehicle charging station terminal receives a manual input of the electric vehicle charging price and transmits it to the electric vehicle charging settlement server. The AI-based real-time price determination module of the electric vehicle charging settlement server sets the electric vehicle charging price received from the electric vehicle charging station terminal with priority over the electric vehicle charging price determined by the AI algorithm. The AI-based dynamic pricing system for an electric vehicle charging station according to Claim 1.

3. The AI-based dynamic pricing system for an electric vehicle charging station according to claim 1, characterized in that the electric vehicle charging station information in the electric vehicle charging station database is updated through the electric vehicle charging station terminal.

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