System and method for recommending charging station according to main charging section and charging contribution of driver

Abstract

A charging station recommendation system according to an embodiment of the present invention is connected to an electric vehicle, a charging station, and a driver terminal via a network, the charging station recommendation system comprising: a charging station information management unit that receives charging station information from the charging station to store the charging station information; a charger usage management unit that receives charging information from the electric vehicle and generates, on the basis of the received charging information, usage information for each electric vehicle; a charging concentration calculation unit that generates electric vehicle charging information on the basis of the usage information; and a charger recommendation unit that generates management information by using the usage information and the electric vehicle charging information corresponding to each electric vehicle and extracts charging station information on the basis of the management information to transmit the extracted charging station information to the driver terminal.

Description

A system and method for recommending charging stations based on drivers' main charging sections and charging contribution.

[0001] The present invention relates to a charging station recommendation system and method, and more particularly, to a charging station recommendation system and method that analyzes the charging pattern of an electric vehicle, recommends an optimal charger to a driver of the electric vehicle, and provides convenient and easy charging of the electric vehicle.

[0002] To reduce environmental pollutants, interest in electric vehicles (EVs) as eco-friendly alternatives to conventional fossil fuel vehicles is growing. These EVs are equipped with batteries that store electrical energy, which are connected to a motor to supply the energy and drive it. The battery-powered motor drives the EV. Furthermore, when regenerative braking occurs during driving, the motor generates power and charges the battery. However, because the battery discharges, it must be recharged after the EV has driven a certain distance.

[0003] Electric vehicle batteries are charged using chargers at charging stations. These chargers can include public chargers installed at highway rest areas, large supermarkets, government offices, and public parking lots; non-public chargers, a type of personal charger available only to the charger owner; and partially public chargers installed in multi-family housing, such as apartments, and available only to residents.

[0004] Meanwhile, charging stations are inadequate compared to the number of electric vehicles. Consequently, electric vehicle drivers are forced to wait for considerable periods of time to charge their vehicles when visiting a charging station. In particular, waiting times for electric vehicles are often disproportionately long compared to the actual charging time. Furthermore, drivers find it difficult to tolerate long waiting periods for charging, so they drive their vehicles around in search of new charging stations. While electric vehicles are beneficial in reducing environmental pollutants, the lack of charging stations presents significant inconveniences for drivers. Drivers are demanding more charging stations to charge their vehicles, and if this is not feasible, they want to conveniently use the existing ones.

[0005] The technical task to be achieved by the charging station recommendation system and method according to the technical idea of ​​the present invention is to provide a charging station recommendation system and method that can recommend an optimal charging station charger by considering the charging pattern of an electric vehicle.

[0006] In addition, a technical task to be achieved by the charging station recommendation system and method according to the technical idea of ​​the present invention is to provide a charging station recommendation system and method that can minimize travel time and waiting time for charging.

[0007] The technical problems to be solved by the charging station recommendation system and method according to the technical idea of ​​the present invention are not limited to the problems mentioned above, and other problems not mentioned will be clearly understood by those skilled in the art from the description below.

[0008] According to one embodiment of the technical idea of ​​the present invention, a charging station recommendation system is provided that is connected to an electric vehicle, a charging station, and a driver's terminal through a network, and is characterized by including: a charging station information management unit that receives and stores charging station information from a charging station; a charger usage management unit that receives charging information from the electric vehicles and generates usage information for each electric vehicle based on the received charging information; a charging concentration calculation unit that generates electric vehicle charging information based on the usage information; and a charger recommendation unit that generates management information using the usage information and the electric vehicle charging information corresponding to each electric vehicle, extracts charging station information based on the management information, and transmits the extracted charging station information to the driver's terminal. Here, the charging concentration calculation unit can calculate a charging contribution for each charger based on a main charging section of a driver included in the usage information.

[0009] In addition, the charging station information includes basic charging station information including the charging station name, charging station location, location type, operating hours, and target of use, and corresponding charger information including the charger ID, charging speed, charging method, charging capacity, and charger status information for each charger included in the charging station, and when an electric vehicle is connected to the charger and charged, the electric vehicle generates charging information according to the charging of the electric vehicle, and the charging information includes member-specific information, charging station location, charger ID, charging start time, charging completion time, and charging amount, and the usage information includes member-specific information, charging station location, charger ID, charging competition information by time zone, and main charging section, and the electric vehicle charging information includes member-specific information, charger ID, number of charger uses, number of electric vehicle charges, and charging contribution, and the management information may include member-specific information, main charging section of the electric vehicle corresponding to the member-specific information, and charging success rate.

[0010] In addition, the charger use management unit derives whether an electric vehicle is being charged and the charging time zone at a charger corresponding to the charger ID by using the charger ID and the charging start time of the charging information for a predetermined period of time, and calculates charging competition information for each time zone for the charger, and the charger use management unit derives the charging time zone for the electric vehicle by using the electric vehicle information, the charging start time, and the charging end time of the charging information for a predetermined period of time, and can calculate the charging time zone with the largest number of charges as the main charging section.

[0011] In addition, the charging concentration calculation unit extracts the charger ID used for charging the electric vehicle during a predetermined period, extracts the number of times charged per time zone corresponding to each of the extracted charger IDs, and adds them up to calculate the number of times the charger was used, extracts member-specific information charged during a predetermined period, extracts the number of times charged per time zone corresponding to each of the extracted member-specific information, and adds them up for each charger to calculate the number of times the electric vehicle was charged, and divides the number of times the electric vehicle was charged corresponding to each of the electric vehicles by the number of times the charger was used to calculate the charging contribution.

[0012] Additionally, when the charging contribution is greater than or equal to the reference value, the charger recommendation unit may not transmit charging station information including a charger ID corresponding to the charging contribution greater than or equal to the reference value to the driver terminal of the electric vehicle corresponding to the electric vehicle information.

[0013] In addition, the charger recommendation unit extracts usage information corresponding to member-specific information included in the electric vehicle charging information of the electric vehicle, extracts the main charging section included in the extracted usage information, and the charger recommendation unit calculates the maximum number of times possible for charging, the number of times the charger is used, and the number of times the electric vehicle is charged using the electric vehicle charging information to correspond to the main charging section of the electric vehicle, and the charger recommendation unit calculates a calculation deduction value by subtracting the number of times the electric vehicle is charged from the number of times the charger is used, which is calculated to correspond to the main charging section of the electric vehicle, for each charger, and then subtracts the calculation deduction value from the maximum number of times possible for charging and then divides it by the maximum number of times possible for charging to calculate the charging success rate.

[0014] In addition, the charger recommendation unit can extract charging station information including charger information identical to the charger ID of the electric vehicle charging information corresponding to the management information, and arrange charging station information for chargers with a relatively high charging success rate in order of priority and transmit it to the driver terminal of the electric vehicle corresponding to the member-specific information.

[0015] In addition, a charging station recommendation method according to an embodiment of the technical idea of ​​the present invention may be characterized by including the steps of (a) a charging station information management unit receiving and storing charging station information from a charging station; (b) a charger usage management unit receiving charging information from electric vehicles; (c) a charger usage management unit generating usage information for each electric vehicle based on the received charging information; (d) a charging concentration calculation unit generating electric vehicle charging information based on the usage information; (e) a charger recommendation unit generating management information using usage information and electric vehicle charging information corresponding to each electric vehicle; and (f) a charger recommendation unit extracting charging station information based on the management information and transmitting the extracted charging station information to a driver's terminal. Here, in step (d), the charging concentration calculation unit may calculate a charging contribution for each charger based on a main charging section of a driver included in the usage information, for each charger.

[0016] In addition, the charging station information includes basic charging station information including the charging station name, charging station location, location type, operating hours, and user target, and corresponding charger information including the charger ID, charging speed, charging method, charging capacity, and charger status information for each charger included in the charging station, and in step (b), when an electric vehicle is connected to the charger and charged, the electric vehicle generates charging information according to the charging of the electric vehicle, and the charging information includes member-specific information, charging station location, charger ID, charging start time, charging completion time, and charging amount, and the usage information includes member-specific information, charging station location, charger ID, charging competition information by time zone, and main charging section, and the electric vehicle charging information includes member-specific information, charger ID, number of charger uses, number of electric vehicle charges, and charging contribution, and the management information may include member-specific information, main charging section of the electric vehicle corresponding to the member-specific information, and charging success rate.

[0017] In addition, in step (c), the charger use management unit derives whether an electric vehicle is being charged and the charging time zone at a charger corresponding to the charger ID by using the charger ID and the charging start time of the charging information for a predetermined period of time, and calculates charging competition information for each time zone for the charger, and the charger use management unit derives the charging time zone for the electric vehicle by using the electric vehicle information, the charging start time, and the charging end time of the charging information for a predetermined period of time, and calculates the charging time zone with the largest number of charges as the main charging section.

[0018] In addition, in step (d), the charging concentration calculation unit extracts the charger ID used for charging the electric vehicle during a predetermined period, extracts the number of times charged per time zone corresponding to each of the extracted charger IDs, and adds them to calculate the number of times the charger was used, extracts member-specific information charged during a predetermined period, extracts the number of times charged per time zone corresponding to each of the extracted member-specific information, and adds them for each charger to calculate the number of times the electric vehicle was charged, and divides the number of times the electric vehicle was charged corresponding to each of the electric vehicles by the number of times the charger was used to calculate the charging contribution.

[0019] Additionally, in step (f), when the charging contribution is greater than or equal to the reference value, the charger recommendation unit may not transmit charging station information including a charger ID corresponding to the charging contribution greater than or equal to the reference value to the driver terminal of the electric vehicle corresponding to the electric vehicle information.

[0020] In addition, in step (e), the charger recommendation unit extracts usage information corresponding to member-specific information included in the electric vehicle charging information of the electric vehicle, extracts the main charging section included in the extracted usage information, and the charger recommendation unit calculates the maximum number of times possible for charging, the number of times the charger is used, and the number of times the electric vehicle is charged using the electric vehicle charging information to correspond to the main charging section of the electric vehicle, and the charger recommendation unit calculates, for each charger, a calculation deduction value obtained by subtracting the number of times the electric vehicle is charged from the number of times the charger is used, which is calculated to correspond to the main charging section of the electric vehicle, and then subtracts the calculation deduction value from the maximum number of times possible for charging and then divides the result by the maximum number of times possible for charging to calculate the charging success rate.

[0021] Additionally, in step (f), the charger recommendation unit can extract charging station information including charger information identical to the charger ID of the electric vehicle charging information corresponding to the management information, and arrange charging station information for chargers with a relatively high charging success rate in order of priority and transmit it to the driver terminal of the electric vehicle corresponding to the member-specific information.

[0022] The charging station recommendation system and method according to embodiments of the technical idea of ​​the present invention have the following effects.

[0023] (1) Ensure that the charger at the charging station is optimally recommended considering the charging pattern of the electric vehicle.

[0024] (2) The travel time and waiting time of electric vehicles for charging can be minimized.

[0025] However, the effects that can be achieved by the charging station recommendation system and method according to one embodiment of the present invention are not limited to those mentioned above, and other effects not mentioned will be clearly understood by those skilled in the art from the description below.

[0026] To facilitate a more thorough understanding of the drawings cited herein, a brief description of each drawing is provided.

[0027] FIG. 1 is a diagram illustrating a charging station recommendation system according to one embodiment of the present invention.

[0028] FIG. 2 is a flowchart illustrating a charging station recommendation method according to one embodiment of the present invention.

[0029] The present invention is susceptible to various modifications and embodiments. Specific embodiments are illustrated in the drawings and described in detail. However, this is not intended to limit the present invention to specific embodiments, and it should be understood that the present invention encompasses all modifications, equivalents, and alternatives falling within the spirit and technical scope of the present invention.

[0030] In describing the present invention, detailed descriptions of related known technologies will be omitted if they are deemed to unnecessarily obscure the gist of the present invention. Furthermore, numbers (e.g., "first," "second," etc.) used throughout the description of this specification are merely identifiers used to distinguish one component from another.

[0031] Additionally, in this specification, when a component is referred to as being “connected” or “connected” to another component, it should be understood that the component may be directly connected or connected to the other component, but may also be connected or connected via another component in between, unless there is a specific description to the contrary.

[0032] In addition, the components expressed as "~part" in this specification may be two or more components combined into one component, or one component may be divided into two or more components with more detailed functions. In addition, each component described below may additionally perform some or all of the functions performed by other components in addition to its own main function, and of course, some of the main functions performed by each component may be exclusively performed by other components.

[0033] Hereinafter, embodiments according to the technical idea of ​​the present invention will be described in detail one by one.

[0034] FIG. 1 is a diagram illustrating a charging station recommendation system (100) according to one embodiment of the present invention.

[0035] As illustrated in FIG. 1, a charging station recommendation system (100) according to one embodiment of the present invention may be connected to a charging station (10), an electric vehicle (20), and a driver terminal (30) through a network (1), and may include a charging station information management unit (101), a charger use management unit (102), a charging concentration calculation unit (103), and a charger recommendation unit (104).

[0036] Here, a driver refers to a person who drives an electric vehicle (20) using or owning one, and can access the charging station recommendation system (100) using a driver terminal (30) registered to correspond to the electric vehicle (20) and exchange signals with the charging station recommendation system (100). In addition, the charging station (10) includes at least one charger (11), preferably a plurality of chargers (11), and may include a charging station management server (not shown) that manages the chargers (11) while connecting them to the network (1).

[0037] In addition, the charging station information management unit (101), the charger use management unit (102), the charging concentration calculation unit (103), and the charger recommendation unit (104) may include at least one of a processor, a memory, and a data transceiver.

[0038] The charging station recommendation system (100) may display a web page through a web browser operated in each of the charging station (10), the electric vehicle (20), and the driver's terminal (30), and allow access to the charging station recommendation system (100) after logging in on the web page, or an application capable of accessing the charging station recommendation system (100) may be installed and operated in each of the charging station (10), the electric vehicle (20), and the driver's terminal (30).

[0039] The driver terminal (30) may be implemented as a computer capable of connecting to a remote server or terminal via a network (1). Here, the computer may include, for example, a notebook, desktop, or laptop equipped with a web browser. In addition, the driver terminal (30) may be implemented as a terminal device capable of connecting to a remote server or terminal via the network (1). The terminal device may include all types of handheld-based wireless communication devices such as, for example, a wireless communication device that guarantees portability and mobility, such as a PCS (Personal Communication System), GSM (Global System for Mobile communications), PDC (Personal Digital Cellular), PHS (Personal Handyphone System), PDA (Personal Digital Assistant), IMT (International Mobile Telecommunication)-2000, CDMA (Code Division Multiple Access)-2000, W-CDMA (W-Code Division Multiple Access), Wibro (Wireless Broadband Internet) terminal, smartphone, smartpad, tablet PC, etc.

[0040] Here, the network (1) refers to a connection structure that enables information exchange between each node, such as multiple terminals and servers, and examples of such networks include, but are not limited to, a 3GPP (3rd Generation Partnership Project) network, an LTE (Long Term Evolution) network, a 5G network, a WIMAX (World Interoperability for Microwave Access) network, the Internet, a LAN (Local Area Network), a Wireless LAN (Wireless Local Area Network), a WAN (Wide Area Network), a PAN (Personal Area Network), a Bluetooth network, a satellite broadcasting network, an analog broadcasting network, and a DMB (Digital Multimedia Broadcasting) network.

[0041] The charging station information management unit (101) can receive and store charging station information from the charging station (10). Here, the charging station information refers to information about each charging station (10) and may include basic charging station information and corresponding charger information. In addition, the basic charging station information may include a charging station name, charging station location, location type, operating hours, target users, etc. The charging station name may be used to identify the charging station (10) and may vary by charging station, and the charging station location may include the address of the charging station (10). The corresponding charger information is information about each charger (11) included in the charging station (10) and may include a charger ID, charging speed, charging method, charging capacity, charger status information, etc. Here, the charger ID is composed of a combination of letters, numbers, symbols, etc. based on the name of the charging station and can be used to identify the charger (11). Chargers (11) in the same charging station (10) can have different charger IDs, and the charger status information can be one of charging possible, charging in progress, and not charging.

[0042] The charger use management unit (102) can receive charging information from the electric vehicle (20). When the electric vehicle (20) is connected to the charger (11) of the charging station (10) and is being charged, the electric vehicle (20) can generate charging information according to the use of the charger (11) by charging. In particular, when the charging of the electric vehicle (20) is completed at the charger (11) of the charging station (10), the electric vehicle (20) can generate charging information. Here, the charging information can include member-specific information, the location of the charging station, the charger ID, the charging start time, the charging completion time, the charging amount, etc. In addition, the member-specific information is an identifier for the electric vehicle (20) being charged at the charger (11) and the driver of the electric vehicle (20), and can be formed of a combination of letters, numbers, symbols, etc., and can include the electric vehicle number, the driver's contact information, etc., and the location of the charging station and the name of the charger can correspond to the charger (11) that the electric vehicle (20) is connected to and used to charge the electric vehicle (20).

[0043] In addition, the charger use management unit (102) can generate use information for each electric vehicle (20) based on the received charging information. Here, the use information may be information on charging of the electric vehicle (20) using the charging station (10), and may include member-specific information, charging station location, charger ID, charging competition information by time zone, major charging sections, etc. The use information may be generated by the charger use management unit (102) processing charging information transmitted to the charger use management unit (102) for a predetermined period of time (e.g., 1 month, 2 months, 1 year, etc.).

[0044] Additionally, the usage information may include at least one charging station location and multiple charger IDs for each member's unique information. That is, the usage information may include the charging station location and charger ID corresponding to the charger (11) used by each electric vehicle (20).

[0045] In particular, the charger usage management unit (102) can use the charger ID and charging start time of the charging information to determine whether an electric vehicle (20) is being charged at the corresponding charger (11) and the charging time zone, and can calculate charging competition information by time zone for the charger (11) and include it in the usage information. That is, the charging competition information by time zone can be calculated by counting the number of times charging has occurred at each charger (11) during a predetermined period of time, and can be calculated for each charger.

[0046] In addition, the charger usage management unit (102) can derive a charging time zone for the electric vehicle (20) using the electric vehicle information, charging start time, and charging end time of the charging information, and can calculate the charging time zone with the most number of charges as the main charging section. In other words, the main charging section can mean the time zone in which the electric vehicle (20) was most frequently charged during a given period, and can be calculated for each electric vehicle.

[0047] For example, charging station 1 may include charger 11, charger 12, and charger 13, charging station 2 may include charger 21, charger 22, and charger 23, and charging station 3 may include charger 31, charger 32, and charger 33.

[0048] Additionally, from May 1 to 30, 2023, for one month, Electric Vehicle A was charged at Charger 11 from 8:00 to 8:40 on Monday, May 1, from 8:20 to 9:00 on Monday, May 8, and from 8:15 to 8:55 on Monday, May 15. Electric Vehicle B was charged at Charger 22 from 8:00 to 8:30 on Monday, May 8, from 2:20 to 2:50 on Saturday, May 20, and from 8:15 to 8:45 on Monday, May 29. Electric vehicle C was charged at Charger 23 on Wednesday, May 10, from 10:00 to 10:35, at Charger 33 on Wednesday, May 17, from 14:20 to 14:55, and at Charger 23 on Wednesday, May 31, from 10:15 to 10:45.

[0049] In the above case, the charger usage management unit (102) can calculate charging competition information by time zone as follows. The charging competition information by time zone can be calculated based on a one-month period from May 1 to 31, 2023.

[0050] Between 8:00 and 9:00 on Monday, the time-based charging contention information of Charger 11 is 4, and the time-based charging contention information of Charger 22 is 1. Between 10:00 and 11:00 on Wednesday, the time-based charging contention information of Charger 23 is 2. Between 2:00 and 3:00 on Wednesday, the time-based charging contention information of Charger 23 is 1. Between 2:00 and 3:00 on Saturday, the time-based charging contention information of Charger 31 is 1. Therefore, since the time-based charging contention information of Charger 11 at Charging Station 1 is the highest between 8:00 and 9:00 on Monday, Charger 11 at Charging Station 1 can have the highest time-based charging mix between 8:00 and 9:00 on Monday.

[0051] In addition, the charger use management unit (102) can calculate the main charging section as follows. Electric vehicle A was charged three times between 8:00 and 9:00 on Monday, so the charger use management unit (102) can calculate the time period between 8:00 and 9:00 on Monday, which is the time period when electric vehicle A was charged the most, as the main charging section for electric vehicle A. In addition, electric vehicle B was charged twice between 8:00 and 9:00 on Monday and once between 2:00 and 3:00 on Saturday, so the charger use management unit (102) can calculate the time period between 8:00 and 9:00 on Monday, which is the time period when electric vehicle B was charged the most, as the main charging section for electric vehicle B. In addition, electric vehicle C was charged twice during the time period of 10:00 and 11:00 on Wednesday and once during the time period of 14:00 and 15:00 on Wednesday, so the charger usage management department (102) can calculate the time period of 10:00 and 11:00 on Wednesday, which is the time period when electric vehicle C was charged the most, as the main charging section for electric vehicle C.

[0052] The charging concentration calculation unit (103) can generate electric vehicle charging information based on usage information. Here, the electric vehicle charging information can include member-specific information, a charger ID, the number of charger uses, the number of electric vehicle charges, and the charging contribution.

[0053] In particular, the charging concentration calculation unit (103) can extract the charger ID used for charging the electric vehicle (20) during a predetermined period of time, extract the number of times of charging per time zone corresponding to each extracted charger ID, and add them up to calculate the number of times of charger use. In other words, the number of times of charger use can mean a value calculated by counting the number of times of charging performed by all electric vehicles (20) during a predetermined period of time for each charger (11).

[0054] In addition, the charging concentration calculation unit (103) can extract member-specific information charged during a predetermined period, extract the number of times charged per time zone corresponding to each extracted member-specific information, and add them up for each charger to calculate the number of times charged by electric vehicle. In other words, the number of times charged by electric vehicles can mean a value calculated by combining the number of times charged by all electric vehicles (20) during a predetermined period of time with each charger (11) and each electric vehicle (20). Here, the number of times charged by electric vehicles can be less than or equal to the number of times chargers are used.

[0055] In addition, the charging concentration calculation unit (103) can calculate the charging contribution by dividing the number of times the electric vehicle is charged corresponding to each electric vehicle (20) by the number of times the charger is used. Here, the charging contribution can be calculated for each charger so as to correspond to the charger (11) used for each charging of the electric vehicle (20). That is, the charging contribution can be a value representing the number of times the electric vehicle (20) is charged on each charger (11) used for charging the electric vehicle (20) for a predetermined period of time relative to the number of times each charger (11) is used for charging the electric vehicle (20), and can mean the charging share of one electric vehicle (20) on one charger (11). In addition, when the charging contribution is equal to or greater than a reference value, it can mean that the electric vehicle (20) frequently uses the charger (11). Due to this, the charger recommendation unit (104) to be specifically described later may not transmit charging station information corresponding to a charger (11) with a charging contribution exceeding a standard value to the driver terminal (30) corresponding to the electric vehicle (20). This is because the driver corresponding to the electric vehicle (20) may not need charging station information corresponding to a charger (11) that he or she frequently uses.

[0056] For example, during the one-month period from May 1 to 30, 2023, Electric Vehicle A was charged at Charger 11 from 8:00 to 8:40 on Monday, May 1, from 8:20 to 9:00 on Monday, May 8, and from 8:15 to 8:55 on Monday, May 15. Electric Vehicle B was charged at Charger 22 from 8:00 to 8:30 on Monday, May 8, from 2:20 to 2:50 on Saturday, May 20, and from 8:15 to 8:45 on Monday, May 29. Electric vehicle C was charged at Charger 23 on Wednesday, May 10, from 10:00 to 10:35, at Charger 33 on Wednesday, May 17, from 14:20 to 14:55, and at Charger 23 on Wednesday, May 31, from 10:15 to 10:45.

[0057] In the above case, the charging concentration calculation unit (103) can calculate the number of times electric vehicle A is charged using charger 11 as 3, the number of times electric vehicle B is charged as 1, and the number of times the charger is used for charger 11 as 4. Here, the charging concentration calculation unit (103) can divide the number of times electric vehicle A is charged for charger 11 with 3 people by the number of times the charger is used for charger 11 with 4 people to calculate the charging contribution of electric vehicle A for charger 11 as 0.75, and can divide the number of times electric vehicle B is charged for charger 11 with 1 person by the number of times the charger is used for charger 11 with 4 people to calculate the charging contribution of electric vehicle B for charger 11 as 0.25. In addition, when the standard value according to the charging contribution is 0.7, the charging concentration calculation unit (103) can extract electric vehicles A and chargers 11 corresponding to a charging contribution of 0.75, which is 0.7 or more, and can prevent charging station information corresponding to the extracted charger 11 from being transmitted to the driver terminal (30) for the extracted electric vehicle A.

[0058] The charger recommendation unit (104) can generate management information using usage information and electric vehicle charging information corresponding to each electric vehicle (20). Here, the management information can include member-specific information, the main charging section of the electric vehicle (20) corresponding to the member-specific information, the charging success rate, etc.

[0059] In particular, the charger recommendation unit (104) can extract usage information corresponding to the member-specific information included in the electric vehicle charging information of the electric vehicle (20) (e.g., usage information including the same member-specific information as the member-specific information of the electric vehicle charging information), and extract the main charging section included in the extracted usage information and include it in the management information. Here, the extracted main charging section can mean the main charging section of the corresponding electric vehicle (20).

[0060] In addition, the charger recommendation unit (104) can calculate the maximum number of times that can be charged, the number of times that a charger can be used, and the number of times that an electric vehicle can be charged to correspond to the main charging section of the electric vehicle (20) using the electric vehicle charging information. Here, the maximum number of times that can be charged to correspond to the main charging section of the electric vehicle (20) may mean the maximum number of times that can be charged to correspond to each of the chargers (11) used for charging the electric vehicle (20) in the main charging section of the electric vehicle (20), and the number of times that a charger can be used to correspond to the main charging section of the electric vehicle (20) may mean a value that counts the number of times that all electric vehicles (20) can charge to correspond to the main charging section of the electric vehicle (20) for each of the chargers (11).

[0061] In addition, the charger recommendation unit (104) can calculate a charging success rate using the calculated maximum number of possible charges, the number of times the charger is used, and the number of times the electric vehicle is charged, so as to correspond to the main charging section of the electric vehicle (20), and include the calculated rate in the management information. Here, the charging success rate can be calculated by calculating a calculation deduction value by subtracting the number of times the electric vehicle is charged from the number of times the charger is used, which is calculated so as to correspond to the main charging section of the electric vehicle (20), for each charger (11), and then subtracting the calculation deduction value from the maximum number of possible charges and dividing the result by the maximum number of possible charges.

[0062] For example, during the one-month period from May 1 to 31, 2023, electric vehicle D was charged at charger 12 from 8:00 to 8:40 on Wednesday, May 3, at charger 13 from 8:20 to 9:00 on Wednesday, May 10, at charger 12 from 8:15 to 8:55 on Wednesday, May 17, at charger 13 from 8:20 to 9:00 on Wednesday, May 24, and at charger 12 from 8:15 to 8:55 on Wednesday, May 31. Electric vehicle D was not charged at charger 11. Electric vehicle D was charged five times during the time period between 8:00 and 9:00 on Wednesday, so the charging station usage management department (102) can calculate the time period between 8:00 and 9:00 on Wednesday as the main charging section for electric vehicle D.

[0063] In particular, the charger recommendation unit (104) can calculate a charging success rate to correspond to the main charging section of the electric vehicle D. Here, in order to correspond to the main charging section of the electric vehicle D, the maximum number of times that each of the chargers 11, 12, and 13 can charge is 5. In addition, the number of times that the charger is used for the charger 11 is 0, the number of times that the charger is used for the charger 12 is 3, and the number of times that the charger is used for the charger 13 is 2. Therefore, the number of times that the charger is used to correspond to the main charging section of the electric vehicle D is 5. In addition, the number of times that the electric vehicle D is charged at the charger 12 is 3, the number of times that the electric vehicle D is charged at the charger 13 is 2, and the number of times that the electric vehicle D is charged at the charger 11 is 0. The charging success rate of the charger (11) corresponding to the main charging section of the electric vehicle D as described above can be calculated as follows.

[0064] The charging success rate of electric vehicle D for charger 11 is 5-(5-0) / 5=0=0%, the charging success rate of electric vehicle D for charger 12 is 5-(5-3) / 5=0.6=60%, and the charging success rate of electric vehicle D for charger 13 is 5-(5-2) / 5=0.4=40%. The charging success rates of electric vehicle D can be determined in the order of charger 12, charger 13, and charger 11.

[0065] In addition, the charger recommendation unit (104) can extract charging station information based on the management information and transmit the extracted charging station information to the driver terminal (30). Here, the charger recommendation unit (104) can extract charging station information including charger information identical to the charger ID of the electric vehicle charging information corresponding to the management information, and can arrange charging station information for chargers (11) with relatively high charging success rates in order of priority and transmit the same to the driver terminal (30) corresponding to the member-specific information. In addition, the charger recommendation unit (104) can transmit the charging station information arranged in order of priority to the driver terminal (30) in a set number. As a result, the driver can preferentially check charging station information for chargers (11) with relatively high charging success rates, and thus can enjoy the effect of preferentially receiving recommendations for chargers (11) with relatively high charging success rates.

[0066] The charging station recommendation system (100) according to the present embodiment may include a charging station information management unit (101) that stores charging station information, and a charger usage management unit (102) that receives charging information generated when an electric vehicle (20) is charged at a charger of a charging station (10) and generates usage information for each electric vehicle (20) based on the charging information. Here, the usage information is information according to the charging of the electric vehicle (20) and may indicate the charging pattern of the electric vehicle (20). This usage information may be used to generate electric vehicle charging information by a charging concentration calculation unit (103), and may be used to generate management information by combining it with the electric vehicle charging information by a charger recommendation unit (104). Here, the charging information and the management information may indicate analysis results according to the charging pattern of the electric vehicle (20) and may be used to transmit charging station information to a driver terminal (30) corresponding to the electric vehicle (20). The driver may charge the electric vehicle (20) using the received charging station information. Therefore, the charging station recommendation system (100) according to the present embodiment can optimally recommend a charger (11) of a charging station (10) according to the charging pattern of an electric vehicle (20).

[0067] In addition, the charging station recommendation system (100) according to the present embodiment can transmit charging station information based on the charging contribution of the electric vehicle charging information and the charging success rate of the management information to the driver terminal (30). Here, the charging contribution and the charging success rate are information that can be used to confirm cases in which the electric vehicle (20) is frequently and stably charged, and thus can be used to enable the driver to easily charge the electric vehicle (20). Therefore, the charging station recommendation system (100) according to the present embodiment can provide the driver terminal (30) with charging station information about chargers where charging can be easily performed, thereby minimizing the travel time and waiting time of the electric vehicle for charging.

[0068] FIG. 2 is a flowchart illustrating a charging station recommendation method according to one embodiment of the present invention.

[0069] The charging station recommendation method according to one embodiment of the present invention illustrated in FIG. 2 can be used to recommend a charger (11) of a charging station (10) to a driver based on charging of the electric vehicle (20) for a predetermined period of time by accessing a charging station recommendation system (100) using a driver terminal (30) registered to correspond to the electric vehicle (20) while driving while using or owning the electric vehicle (20). The charging station recommendation method of this embodiment will be explained using the charging station recommendation system (100) mentioned above.

[0070] First, a step (S101) may be performed in which the charging station information management unit (101) receives and stores charging station information from the charging station (10). Here, the charging station information refers to information about each charging station (10) and may include basic charging station information and corresponding charger information. In addition, the basic charging station information may include a charging station name, charging station location, location type, operating hours, target users, etc. The charging station name may be used to identify the charging station (10) and may be different for each charging station, and the charging station location may include the address of the charging station (10). The corresponding charger information is information about each charger (11) included in the charging station (10) and may include a charger ID, charging speed, charging method, charging capacity, charger status information, etc. Here, the charger ID is composed of a combination of letters, numbers, symbols, etc. based on the name of the charging station and can be used to identify the charger (11). Chargers (11) in the same charging station (10) can have different charger IDs, and the charger status information can be one of charging possible, charging in progress, and not charging.

[0071] Next, a step (S102) may be performed in which the charger use management unit (102) receives charging information from the electric vehicle (20). In step S102, the electric vehicle (20) is connected to the charger (11) of the charging station (10) and charged, so that the electric vehicle (20) can generate charging information according to the use of the charger (11) by charging. In particular, when charging of the electric vehicle (20) is completed at the charger (11) of the charging station (10), the electric vehicle (20) can generate charging information. Here, the charging information may include member-specific information, charging station location, charger ID, charging start time, charging completion time, charging amount, etc. In addition, the member-specific information may be an identifier for the electric vehicle (20) being charged at the charger (11) and the driver of the electric vehicle (20), and may be composed of a combination of letters, numbers, symbols, etc., and may include the electric vehicle number, the driver's contact information, etc., and the location of the charging station and the name of the charger may correspond to the charger (11) to which the electric vehicle (20) is connected and used to charge the electric vehicle (20).

[0072] Next, a step (S103) may be performed in which the charger use management unit (102) generates use information for each electric vehicle (20) based on the received charging information. Here, the use information may be information on charging of the electric vehicle (20) using the charging station (10), and may include member-specific information, charging station location, charger ID, charging competition information by time zone, major charging sections, etc. In step S103, the use information may be generated by the charger use management unit (102) processing charging information transmitted to the charger use management unit (102) for a predetermined period of time (e.g., 1 month, 2 months, 1 year, etc.).

[0073] In step S103, the usage information may include at least one charging station location and multiple charger IDs for each member's unique information. That is, the usage information may include a charging station location and charger ID corresponding to a charger (11) used by each electric vehicle (20).

[0074] In particular, at step S103, the charger usage management unit (102) can use the charger ID and charging start time of the charging information to determine whether the electric vehicle (20) is being charged at the corresponding charger (11) and the charging time zone, and can calculate charging competition information by time zone for the charger (11) and include it in the usage information. That is, the charging competition information by time zone can be calculated by counting the number of times charging has occurred at each charger (11) during a predetermined period of time, and can be calculated for each charger.

[0075] In addition, at step S103, the charger usage management unit (102) can derive a charging time zone for the electric vehicle (20) using the electric vehicle information, charging start time, and charging end time of the charging information, and can calculate the charging time zone with the most number of charges as the main charging section. In other words, the main charging section can mean the time zone in which the electric vehicle (20) was most frequently charged during a given period, and can be calculated for each electric vehicle.

[0076] For example, charging station 1 may include charger 11, charger 12, and charger 13, charging station 2 may include charger 21, charger 22, and charger 23, and charging station 3 may include charger 31, charger 32, and charger 33.

[0077] Additionally, from May 1 to 30, 2023, for one month, Electric Vehicle A was charged at Charger 11 from 8:00 to 8:40 on Monday, May 1, from 8:20 to 9:00 on Monday, May 8, and from 8:15 to 8:55 on Monday, May 15. Electric Vehicle B was charged at Charger 22 from 8:00 to 8:30 on Monday, May 8, from 2:20 to 2:50 on Saturday, May 20, and from 8:15 to 8:45 on Monday, May 29. Electric vehicle C was charged at Charger 23 on Wednesday, May 10, from 10:00 to 10:35, at Charger 33 on Wednesday, May 17, from 14:20 to 14:55, and at Charger 23 on Wednesday, May 31, from 10:15 to 10:45.

[0078] In the above case, the charger usage management unit (102) can calculate charging competition information by time zone as follows. The charging competition information by time zone can be calculated based on a one-month period from May 1 to 31, 2023.

[0079] Between 8:00 and 9:00 on Monday, the time-based charging contention information of Charger 11 is 4, and the time-based charging contention information of Charger 22 is 1. Between 10:00 and 11:00 on Wednesday, the time-based charging contention information of Charger 23 is 2. Between 2:00 and 3:00 on Wednesday, the time-based charging contention information of Charger 23 is 1. Between 2:00 and 3:00 on Saturday, the time-based charging contention information of Charger 31 is 1. Therefore, since the time-based charging contention information of Charger 11 at Charging Station 1 is the highest between 8:00 and 9:00 on Monday, Charger 11 at Charging Station 1 can have the highest time-based charging mix between 8:00 and 9:00 on Monday.

[0080] In addition, the charger use management unit (102) can calculate the main charging section as follows. Electric vehicle A was charged three times between 8:00 and 9:00 on Monday, so the charger use management unit (102) can calculate the time period between 8:00 and 9:00 on Monday, which is the time period when electric vehicle A was charged the most, as the main charging section for electric vehicle A. In addition, electric vehicle B was charged twice between 8:00 and 9:00 on Monday and once between 2:00 and 3:00 on Saturday, so the charger use management unit (102) can calculate the time period between 8:00 and 9:00 on Monday, which is the time period when electric vehicle B was charged the most, as the main charging section for electric vehicle B. In addition, electric vehicle C was charged twice during the time period of 10:00 and 11:00 on Wednesday and once during the time period of 14:00 and 15:00 on Wednesday, so the charger usage management department (102) can calculate the time period of 10:00 and 11:00 on Wednesday, which is the time period when electric vehicle C was charged the most, as the main charging section for electric vehicle C.

[0081] Next, a step (S104) may be performed in which the charging concentration calculation unit (103) generates electric vehicle charging information based on usage information. Here, the electric vehicle charging information may include member-specific information, a charger ID, the number of charger uses, the number of electric vehicle charges, and the charging contribution.

[0082] In particular, in step S104, the charging concentration calculation unit (103) can extract the charger ID used for charging the electric vehicle (20) for a predetermined period of time, extract the number of times of charging per time zone corresponding to each extracted charger ID, and add them up to calculate the number of times of charger use. In other words, the number of times of charger use can mean a value calculated by counting the number of times of charging performed by all electric vehicles (20) for a predetermined period of time for each charger (11).

[0083] In addition, in step S104, the charging concentration calculation unit (103) can extract member-specific information charged during a predetermined period, extract the number of times charged per time zone corresponding to each extracted member-specific information, and add them up for each charger to calculate the number of times charged by electric vehicle. In other words, the number of times charged by electric vehicles can mean a value calculated by combining the number of times charged by all electric vehicles (20) during a predetermined period of time with each charger (11) and each electric vehicle (20). Here, the number of times charged by electric vehicles can be less than or equal to the number of times chargers are used.

[0084] In addition, in step S104, the charging concentration calculation unit (103) may calculate the charging contribution by dividing the number of times each electric vehicle (20) has been charged by the number of times the charger has been used. Here, the charging contribution may be calculated for each charger so as to correspond to each charger (11) used for charging each electric vehicle (20). That is, the charging contribution may be a value representing the ratio of the number of times the electric vehicle (20) has been charged on each charger (11) used for charging the electric vehicle (20) to the number of times each charger (11) has been used for charging the electric vehicle (20) during a predetermined period of time, and may mean the charging share of one electric vehicle (20) on one charger (11). In addition, when the charging contribution is equal to or greater than a reference value, it may mean that the electric vehicle (20) frequently uses the charger (11). Due to this, in step S106, which will be specifically described later, the charger recommendation unit (104) may not transmit charging station information corresponding to a charger (11) with a charging contribution exceeding a standard value to the driver terminal (30) corresponding to the electric vehicle (20). This is because the driver corresponding to the electric vehicle (20) may not need charging station information corresponding to a frequently used charger (11).

[0085] For example, during the month of May 1 to 30, 2023, Electric Vehicle A was charged at Charger 11 from 8:00 to 8:40 on Monday, May 1, from 8:20 to 9:00 on Monday, May 8, and from 8:15 to 8:55 on Monday, May 15. Electric Vehicle B was charged at Charger 22 from 8:00 to 8:30 on Monday, May 8, from 2:20 to 2:50 on Saturday, May 20, and from 8:15 to 8:45 on Monday, May 29. Electric vehicle C was charged at Charger 23 on Wednesday, May 10, from 10:00 to 10:35, at Charger 33 on Wednesday, May 17, from 14:20 to 14:55, and at Charger 23 on Wednesday, May 31, from 10:15 to 10:45.

[0086] In the above case, the charging concentration calculation unit (103) can calculate the number of times electric vehicle A is charged using charger 11 as 3, the number of times electric vehicle B is charged as 1, and the number of times the charger is used for charger 11 as 4. Here, the charging concentration calculation unit (103) can divide the number of times electric vehicle A is charged for charger 11 with 3 people by the number of times the charger is used for charger 11 with 4 people to calculate the charging contribution of electric vehicle A for charger 11 as 0.75, and can divide the number of times electric vehicle B is charged for charger 11 with 1 person by the number of times the charger is used for charger 11 with 4 people to calculate the charging contribution of electric vehicle B for charger 11 as 0.25. In addition, when the standard value according to the charging contribution is 0.7, the charging concentration calculation unit (103) can extract electric vehicles A and chargers 11 corresponding to a charging contribution of 0.75, which is 0.7 or more, and can prevent charging station information corresponding to the extracted charger 11 from being transmitted to the driver terminal (30) for the extracted electric vehicle A.

[0087] Next, a step (S105) may be performed in which the charger recommendation unit (104) generates management information using usage information and electric vehicle charging information corresponding to each electric vehicle (20). Here, the management information may include member-specific information, the main charging section of the electric vehicle (20) corresponding to the member-specific information, the charging success rate, etc.

[0088] In particular, in step S105, the charger recommendation unit (104) extracts usage information corresponding to the member-specific information included in the electric vehicle charging information of the electric vehicle (20) (e.g., usage information including the same member-specific information as the member-specific information of the electric vehicle charging information), and extracts the main charging section included in the extracted usage information and includes it in the management information. Here, the extracted main charging section may refer to the main charging section of the corresponding electric vehicle (20).

[0089] In addition, at step S105, the charger recommendation unit (104) can calculate the maximum number of times that can be charged, the number of times that the charger can be used, and the number of times that the electric vehicle can be charged to correspond to the main charging section of the electric vehicle (20) using the electric vehicle charging information. Here, the maximum number of times that can be charged corresponding to the main charging section of the electric vehicle (20) may mean the maximum number of times that can be charged in each of the chargers (11) used for charging the electric vehicle (20) in the main charging section of the electric vehicle (20), and the number of times that the charger can be used corresponding to the main charging section of the electric vehicle (20) may mean a value obtained by counting the number of times that all electric vehicles (20) can be charged in the main charging section of the electric vehicle (20) for each of the chargers (11), and the number of times that the electric vehicle can be charged corresponding to the main charging section of the electric vehicle (20) may mean a value obtained by counting the number of times that the corresponding electric vehicle (20) can be charged in the main charging section of the electric vehicle (20) for each of the chargers (11).

[0090] In addition, in step S105, the charger recommendation unit (104) can calculate a charging success rate using the calculated maximum number of possible charges, the number of times the charger is used, and the number of times the electric vehicle is charged, so as to correspond to the main charging section of the electric vehicle (20), and include the calculated rate in the management information. Here, the charging success rate can be calculated by calculating a calculation deduction value by subtracting the number of times the electric vehicle is charged from the number of times the charger is used, which is calculated so as to correspond to the main charging section of the electric vehicle (20), for each charger (11), and then subtracting the calculation deduction value from the maximum number of possible charges and dividing the result by the maximum number of possible charges.

[0091] For example, during the one-month period from May 1 to 31, 2023, electric vehicle D was charged at charger 12 from 8:00 to 8:40 on Wednesday, May 3, at charger 13 from 8:20 to 9:00 on Wednesday, May 10, at charger 12 from 8:15 to 8:55 on Wednesday, May 17, at charger 13 from 8:20 to 9:00 on Wednesday, May 24, and at charger 12 from 8:15 to 8:55 on Wednesday, May 31. Electric vehicle D was not charged at charger 11. Electric vehicle D was charged five times during the time period between 8:00 and 9:00 on Wednesday, so the charging station usage management department (102) can calculate the time period between 8:00 and 9:00 on Wednesday as the main charging section for electric vehicle D.

[0092] In particular, the charger recommendation unit (104) can calculate a charging success rate to correspond to the main charging section of the electric vehicle D. Here, in order to correspond to the main charging section of the electric vehicle D, the maximum number of times that each of the chargers 11, 12, and 13 can charge is 5. In addition, the number of times that the charger is used for the charger 11 is 0, the number of times that the charger is used for the charger 12 is 3, and the number of times that the charger is used for the charger 13 is 2. Therefore, the number of times that the charger is used to correspond to the main charging section of the electric vehicle D is 5. In addition, the number of times that the electric vehicle D is charged at the charger 12 is 3, the number of times that the electric vehicle D is charged at the charger 13 is 2, and the number of times that the electric vehicle D is charged at the charger 11 is 0. The charging success rate of the charger (11) corresponding to the main charging section of the electric vehicle D as described above can be calculated as follows.

[0093] The charging success rate of electric vehicle D for charger 11 is 5-(5-0) / 5=0=0%, the charging success rate of electric vehicle D for charger 12 is 5-(5-3) / 5=0.6=60%, and the charging success rate of electric vehicle D for charger 13 is 5-(5-2) / 5=0.4=40%. The charging success rates of electric vehicle D can be determined in the order of charger 12, charger 13, and charger 11.

[0094] Next, a step (S106) may be performed in which the charger recommendation unit (104) extracts charging station information based on the management information and transmits the extracted charging station information to the driver terminal (30). In step S106, the charger recommendation unit (104) may extract charging station information including charger information identical to the charger ID of the electric vehicle charging information corresponding to the management information, and may arrange charging station information for chargers (11) with relatively high charging success rates in order of priority and transmit the same to the driver terminal (30) corresponding to the member-specific information. In addition, the charger recommendation unit (104) may transmit the charging station information arranged in order of priority to the driver terminal (30) in a set number. As a result, the driver may preferentially check charging station information for chargers (11) with relatively high charging success rates, thereby enjoying the effect of preferentially recommending chargers (11) with relatively high charging success rates.

[0095] A charging station recommendation method according to the present embodiment may include a charging station information management unit (101) that stores charging station information, and a charger usage management unit (102) that receives charging information generated when an electric vehicle (20) is charged at a charger of a charging station (10) and generates usage information for each electric vehicle (20) based on the charging information. Here, the usage information is information according to charging of the electric vehicle (20) and may indicate a charging pattern of the electric vehicle (20). This usage information may be used to generate electric vehicle charging information by a charging concentration calculation unit (103), and may be used to generate management information by combining it with the electric vehicle charging information by a charger recommendation unit (104). Here, the charging information and the management information may indicate analysis results according to the charging pattern of the electric vehicle (20) and may be used to transmit charging station information to a driver terminal (30) corresponding to the electric vehicle (20). The driver may charge the electric vehicle (20) using the received charging station information. Therefore, the charging station recommendation method according to the present embodiment can optimally recommend a charger (11) of a charging station (10) according to the charging pattern of an electric vehicle (20).

[0096] In addition, the charging station recommendation method according to the present embodiment can transmit charging station information based on the charging contribution of the electric vehicle charging information and the charging success rate of the management information to the driver terminal (30). Here, since the charging contribution and the charging success rate are information that can confirm cases in which the electric vehicle (20) is frequently and stably charged, they can be used to enable the driver to easily charge the electric vehicle (20). Therefore, the charging station recommendation method according to the present embodiment can minimize the travel time and waiting time of the electric vehicle for charging by providing the driver terminal (30) with charging station information about a charger where charging can be easily performed.

[0097] The functional operations described in this specification and the embodiments of the present subject matter can be implemented in digital electronic circuits, computer software, firmware, or hardware, or in a combination of one or more of these, including the structures disclosed in this specification and their structural equivalents.

[0098] Embodiments of the subject matter described herein may be implemented as one or more computer program products, i.e., one or more modules of computer program instructions encoded on a tangible program medium for execution by or controlling the operation of a data processing device. The tangible program medium may be a radio signal or a computer-readable medium. A radio signal is an artificially generated signal, such as a machine-generated electrical, optical, or electromagnetic signal, that is generated to encode information for transmission to a suitable receiver device for execution by a computer. The computer-readable medium may be a machine-readable storage device, a machine-readable storage substrate, a memory device, a combination of materials that affect a machine-readable radio signal, or a combination of one or more of these.

[0099] A computer program (also known as a program, software, software application, script or code) may be written in any programming language, including compiled or interpreted languages, a priori or procedural languages, and may be deployed in any form, including as a standalone program, a module, a component, a subroutine or other unit suitable for use in a computing environment.

[0100] Computer programs do not necessarily correspond to files in a file system. A program may be stored within a single file provided to the requested program, within multiple interacting files (e.g., a file storing one or more modules, subprograms, or portions of code), or within a file containing other programs or data (e.g., one or more scripts stored within a markup language document).

[0101] A computer program may be deployed to run on a single computer or on multiple computers located at a single site or distributed across multiple sites and interconnected by a communications network.

[0102] Additionally, the logical flow and structural block diagrams described herein describe corresponding functions and corresponding acts and / or specific methods supported by the disclosed structural means, and can also be used to construct corresponding software structures and algorithms and their equivalents.

[0103] The processes and logic flows described herein are executable by one or more programmable processors executing one or more computer programs to perform functions by operating on input data and generating output.

[0104] Processors suitable for executing computer programs include, for example, general-purpose and special-purpose microprocessors, as well as any one or more processors of any type of digital computer. Typically, the processor will receive instructions and data from read-only memory, random-access memory, or both.

[0105] The core elements of a computer are one or more memory devices for storing instructions and data, and a processor for executing instructions. Additionally, a computer will typically be coupled to or include one or more mass storage devices, such as magnetic, magneto-optical, or optical disks, to receive data from, transfer data to, or both of these operations. However, a computer need not include such devices.

[0106] This description presents the best mode of the invention and provides examples to illustrate the invention and to enable those skilled in the art to make and use the invention. The specification, as written, is not intended to limit the invention to the specific terms set forth herein.

[0107] Accordingly, while the present invention has been described in detail with reference to the above-described examples, those skilled in the art will appreciate that modifications, variations, and variations can be made to these examples without departing from the scope of the present invention. In short, it is to be understood that to achieve the intended effects of the present invention, not all functional blocks depicted in the drawings must be separately included, nor must all orders depicted in the drawings be followed in the exact order depicted. Even if this is not the case, the technical scope of the present invention as set forth in the claims may still be encompassed.

[0108] [Explanation of symbols]

[0109] 100: Charging Station Recommendation System

[0110] 101: Charging Station Information Management Department

[0111] 102: Charger Utilization Management Department

[0112] 103: Charging concentration calculation unit

[0113] 104: Charger Recommendation

Claims

1. In a charging station recommendation system that is connected to an electric vehicle, a charging station, and a driver terminal through a network, A charging station information management unit that receives and stores charging station information from a charging station; A charger usage management unit that receives charging information from electric vehicles and creates usage information for each electric vehicle based on the received charging information; A charging concentration calculation unit that generates electric vehicle charging information based on usage information; and A charging station recommendation system characterized by including a charger recommendation unit that generates management information using usage information and electric vehicle charging information corresponding to each electric vehicle, extracts charging station information based on the management information, and transmits the extracted charging station information to a driver terminal.

2. In paragraph 1, Charging station information includes basic charging station information including charging station name, charging station location, location type, operating hours, and target audience, and corresponding charger information including charger ID, charging speed, charging method, charging capacity, and charger status information for each charger included in the charging station. When an electric vehicle is connected to a charger and charged, the electric vehicle generates charging information according to the charging of the electric vehicle, and the charging information includes member-specific information, charging station location, charger ID, charging start time, charging completion time, and charging amount. Usage information includes member-specific information, charging station location, charger ID, charging competition information by time zone, and major charging sections. Electric vehicle charging information includes member-specific information, charger ID, number of charger uses, number of electric vehicle charges, and charging contribution. A charging station recommendation system characterized in that the management information includes member-specific information, the main charging section of the electric vehicle corresponding to the member-specific information, and the charging success rate.

3. In paragraph 2, The charger usage management department uses the charger ID and charging start time of the charging information for a certain period of time to determine whether an electric vehicle is being charged and the charging time zone at the charger corresponding to the charger ID, and calculates charging competition information by time zone for the charger. A charging station recommendation system characterized in that the charger usage management unit derives a charging time zone for an electric vehicle by using electric vehicle information, charging start time, and charging end time of charging information for a predetermined period of time, and calculates the charging time zone with the largest number of charging times as the main charging section.

4. In paragraph 3, A charging station recommendation system characterized in that the charging concentration calculation unit extracts charger IDs used for charging electric vehicles during a predetermined period of time, extracts and adds up the number of times charging by time zone corresponding to each of the extracted charger IDs to calculate the number of times chargers are used, extracts member-specific information charged during a predetermined period of time, extracts the number of times charging by time zone corresponding to each of the extracted member-specific information, and adds up the number of times charging by charger to calculate the number of times charging electric vehicles, and calculates the charging contribution by dividing the number of times charging electric vehicles corresponding to each of the electric vehicles by the number of times chargers are used.

5. In paragraph 4, A charging station recommendation system characterized in that, when the charging contribution is greater than or equal to a reference value, the charger recommendation unit does not transmit charging station information including a charger ID corresponding to the charging contribution greater than or equal to the reference value to the driver terminal of an electric vehicle corresponding to the electric vehicle information.

6. In paragraph 4, The charger recommendation section extracts usage information corresponding to the member-specific information included in the electric vehicle charging information of the electric vehicle, and extracts the main charging sections included in the extracted usage information. The charger recommendation section uses electric vehicle charging information to calculate the maximum number of possible charges, the number of charger uses, and the number of electric vehicle charges to correspond to the main charging sections of electric vehicles. A charging station recommendation system characterized in that the charger recommendation unit calculates a calculation deduction value by subtracting the number of electric vehicle charging times from the number of charger usage times calculated to correspond to the main charging section of the electric vehicle for each charger, and calculates a charging success rate by subtracting the calculation deduction value from the maximum number of possible charging times and then dividing the result by the maximum number of possible charging times.

7. In paragraph 6, A charging station recommendation system characterized in that the charger recommendation unit extracts charging station information including charger information identical to the charger ID of electric vehicle charging information corresponding to management information, arranges charging station information for chargers with a relatively high charging success rate in order of priority, and transmits the information to the driver terminal of the electric vehicle corresponding to the member's unique information. 8.(a) A step in which the charging station information management unit receives charging station information from the charging station and stores it; (b) A step in which the charger usage management unit receives charging information from the electric vehicle; (c) A step of generating usage information for each electric vehicle based on the charging information received by the charger usage management department; (d) A step in which the charging concentration calculation unit generates electric vehicle charging information based on usage information; (e) a step in which the charger recommendation unit generates management information using usage information and electric vehicle charging information corresponding to each electric vehicle; and (f) A charging station recommendation method characterized in that it includes a step of extracting charging station information based on management information by a charger recommendation unit and transmitting the extracted charging station information to a driver terminal.

9. In paragraph 8, Charging station information includes basic charging station information including charging station name, charging station location, location type, operating hours, and target audience, and corresponding charger information including charger ID, charging speed, charging method, charging capacity, and charger status information for each charger included in the charging station. (b) In step (b), when an electric vehicle is connected to a charger and charged, the electric vehicle generates charging information according to the charging of the electric vehicle, and the charging information includes member-specific information, charging station location, charger ID, charging start time, charging completion time, and charging amount. Usage information includes member-specific information, charging station location, charger ID, charging competition information by time zone, and major charging sections. Electric vehicle charging information includes member-specific information, charger ID, number of charger uses, number of electric vehicle charges, and charging contribution. A charging station recommendation method characterized in that the management information includes member-specific information, a main charging section of an electric vehicle corresponding to the member-specific information, and a charging success rate.

10. In step (c) of paragraph 9, The charger usage management department uses the charger ID and charging start time of the charging information for a certain period of time to determine whether an electric vehicle is being charged and the charging time zone at the charger corresponding to the charger ID, and calculates charging competition information by time zone for the charger. A charging station recommendation method characterized in that the charger usage management unit derives a charging time zone for an electric vehicle by using electric vehicle information, charging start time, and charging end time of charging information for a predetermined period of time, and calculates the charging time zone with the largest number of charging times as the main charging section.

11. In step (d) of paragraph 10, A charging concentration calculation unit extracts charger IDs used for charging electric vehicles during a predetermined period of time, extracts and adds up the number of times charging by time zone corresponding to each of the extracted charger IDs to calculate the number of times chargers are used, extracts member-specific information charged during a predetermined period of time, extracts the number of times charging by time zone corresponding to each of the extracted member-specific information, and adds up the number of times charging by charger to calculate the number of times charging electric vehicles, and calculates the charging contribution by dividing the number of times charging electric vehicles corresponding to each of the electric vehicles by the number of times chargers are used.

12. In step (f) of paragraph 11, A charging station recommendation method characterized in that, when the charging contribution is greater than or equal to a reference value, the charger recommendation unit does not transmit charging station information including a charger ID corresponding to the charging contribution greater than or equal to the reference value to the driver terminal of an electric vehicle corresponding to the electric vehicle information.

13. In step (e) of paragraph 11, The charger recommendation section extracts usage information that includes the same member-specific information as the member-specific information included in the electric vehicle charging information of the electric vehicle, and extracts the main charging sections included in the extracted usage information. The charger recommendation section uses electric vehicle charging information to calculate the maximum number of possible charges, the number of charger uses, and the number of electric vehicle charges to correspond to the main charging sections of electric vehicles. A charging station recommendation method characterized in that the charger recommendation unit calculates a calculation deduction value by subtracting the number of electric vehicle charging times from the number of charger usage times calculated to correspond to the main charging section of the electric vehicle for each charger, and then calculates a charging success rate by subtracting the calculation deduction value from the maximum number of possible charging times and then dividing the result by the maximum number of possible charging times.

14. In the 13th paragraph, in step (f), A charging station recommendation method characterized in that the charger recommendation unit extracts charging station information including charger information identical to the charger ID of electric vehicle charging information corresponding to management information, arranges charging station information for chargers with a relatively high charging success rate in order of priority, and transmits the information to the driver terminal of the electric vehicle corresponding to the member's unique information.

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