Charging station recommendation method and navigation device

Abstract

The invention relates to a charging station recommendation method and a navigation device. In accordance with some embodiments of the present disclosure, the method is performed by at least one computing device, which may comprise: a step of identifying an industry type associated with a vehicle destination; determining a charging type on the basis of the identified industry type; a step of identifying one or more charging stations including the charger of the determined charging type from among a plurality of charging stations located within a predetermined distance in the vehicle destination; and providing the identified one or more charging stations to the user as recommended charging stations.

Description

Technical Field

[0001] This disclosure relates to a charging station recommendation method and apparatus. More specifically, it relates to a method and apparatus for improving user driving satisfaction by providing a route to a charging station that is suitable for the destination and can provide charging in a user-preferred manner. Background Technology

[0002] The navigation service compares the estimated charge required to reach the destination with the vehicle's remaining battery level. If it determines that the vehicle's current charge is insufficient to reach the destination, it can select and provide a charging station based on optimal charging station recommendation logic. This charging station recommendation navigation service aims to alleviate driving anxiety for mobile device drivers, enabling them to easily handle unexpected situations of insufficient charge en route to their destination.

[0003] Recently, the best charging station recommendation logic is to use and refer to static / dynamic data such as real-time charging availability, charging station location information, charging station opening status, and operating time information to select charging stations and provide the selected charging stations to vehicle drivers.

[0004] However, the existing charging station recommendation logic has limitations, namely, it only considers the charging amount and distance to select recommended charging stations, without reflecting the charging status, user preferences, and charging mode when arriving at the destination.

[0005] Therefore, there is a need to provide a logic that can reflect the charging situation available to the user when they arrive at their destination, the user's charging preferences, and the user's existing charging mode in order to select and guide the charging station. Summary of the Invention

[0006] The problem to be solved

[0007] The technical problem this disclosure aims to solve is to provide a method and apparatus for industry-recommended charging stations based on destination.

[0008] Another technical problem that this disclosure aims to solve is to provide a method and apparatus for recommending charging stations based on a user's charging pattern.

[0009] Another technical problem that this disclosure aims to solve is to provide a method and apparatus for recommending charging stations based on driving distance to a destination.

[0010] The technical problem disclosed herein is not limited to the technical problems mentioned above. Those skilled in the art should clearly understand another technical problem not mentioned through the following description.

[0011] Problem-solving methods

[0012] A charging station recommendation method according to an embodiment of this disclosure for solving the aforementioned technical problem may include: a step of identifying an industry type associated with a vehicle destination; a step of determining a charging type based on the identified industry type; a step of identifying one or more charging stations from a plurality of charging stations located within a predetermined distance of the vehicle destination, each charging station including a charger of the determined charging type; and a step of providing the identified one or more charging stations as recommended charging stations to the user.

[0013] In one embodiment, the step of determining the charging type may include: in response to determining the industry type as a short-stay industry, determining the charging type as a fast charging type; the recommended charging station may include a charger of the fast charging type.

[0014] In one embodiment, the step of determining the charging type may include: in response to determining the industry type as a slow charging type when the industry type is determined to be a long-stay industry; the recommended charging station may include a charger of the slow charging type.

[0015] In one embodiment, the step of determining the charging type may include: determining the charging type based on the identified industry type and the remaining battery level of the vehicle.

[0016] In one embodiment, the step of determining the charging type may include: when the identified industry type is a short-stay industry and the remaining battery capacity of the vehicle is less than a first value, determining the charging type as a fast charging type; the recommended charging station may include a charger of the fast charging type.

[0017] In one embodiment, the step of determining the charging type may include: when the remaining battery capacity of the vehicle is greater than or equal to a second value, identifying the user's preferred charging type based on the user's charging pattern; and determining the charging type as the user's preferred charging type.

[0018] A charging station recommendation method according to another embodiment of this disclosure, used to solve the aforementioned technical problem, may include: the steps of acquiring a user's vehicle charging mode; acquiring a vehicle's driving route; determining a target sub-section related to charging station recommendation from a plurality of sub-sections included in the driving route based on the acquired vehicle charging mode; and providing the user with one or more charging stations located within a predetermined distance of the determined sub-section.

[0019] In one embodiment, the step of determining the target sub-interval may include: when the vehicle charging mode shows a pattern in which the remaining battery level increases before the vehicle reaches its destination, or a pattern in which the remaining battery level increases within a critical time after reaching the destination, the step of determining a first sub-interval from the departure point to a predetermined distance as the target sub-interval.

[0020] In one embodiment, the step of determining the target sub-interval may include: obtaining the distance traveled by the vehicle before charging based on the obtained vehicle charging mode; and determining the target sub-interval from the plurality of sub-intervals based on the obtained travel distance.

[0021] In one embodiment, the charging mode may be generated based on at least one of the user's charging station search history and the vehicle's charging history.

[0022] In one embodiment, the step of determining the target sub-interval may include: when the vehicle's charging mode is obtained from the vehicle charging mode, indicating that the vehicle searches for charging stations before heading to its destination, the first sub-interval from the departure point to a predetermined distance is determined as the target sub-interval.

[0023] In one embodiment, the step of determining the target sub-interval may include: obtaining the remaining battery capacity of the vehicle when the user searches for a charging station based on the acquired vehicle charging mode; and determining the target sub-interval from the plurality of sub-intervals based on the sub-intervals where the remaining battery capacity of the vehicle is expected to be reached when searching for the charging station.

[0024] In one embodiment, the step of providing one or more charging stations to the user may include: identifying the user's preferred charging type based on the vehicle charging mode; and providing one or more charging stations, including the identified charging type, to the user from a plurality of charging stations located within a predetermined distance of the determined sub-interval.

[0025] A navigation device according to another embodiment of this disclosure, used to solve the aforementioned technical problem, may include: one or more processors; and a memory storing one or more instructions. In this case, the one or more processors can execute the stored one or more instructions to perform the following operations: identifying an industry type related to a vehicle destination corresponding to the navigation device; determining a charging type based on the identified industry type; identifying one or more charging stations from a plurality of charging stations located within a predetermined distance of the vehicle destination, including chargers with the determined charging type; and providing the identified one or more charging stations as recommended charging stations to the user.

[0026] In one embodiment, determining the charging type may include: in response to determining the industry type as a short-stay industry, determining the charging type as a fast charging type; the recommended charging station may include a charger of the fast charging type.

[0027] In one embodiment, determining the charging type may include: in response to determining the industry type as a long-stay industry, determining the charging type as a slow charging type; the recommended charging station may include a charger of the slow charging type.

[0028] In one embodiment, determining the charging type may include: determining the charging type based on the identified industry type and the remaining battery level of the vehicle.

[0029] In one embodiment, determining the charging type may include: when the identified industry type is a short-stay industry and the remaining battery capacity of the vehicle is less than a first value, determining the charging type as a fast charging type; the recommended charging station may include a charger of the fast charging type.

[0030] In one embodiment, the operation of determining the charging type may include: when the remaining battery capacity of the vehicle is greater than or equal to a second value, identifying the user's preferred charging type based on the user's charging pattern; and determining the charging type as the user's preferred charging type.

[0031] A navigation device according to another embodiment of this disclosure, used to solve the aforementioned technical problem, may include: one or more processors; and a memory storing one or more instructions. In this case, the one or more processors can execute the stored instructions to perform the following operations: obtaining a vehicle user's vehicle charging mode corresponding to the navigation device; obtaining a driving route for the vehicle; determining a target sub-section related to charging station recommendations from a plurality of sub-sections included in the driving route based on the obtained vehicle charging mode; and providing one or more charging stations located within a predetermined distance of the determined sub-section to the user. Attached Figure Description

[0032] Figure 1 This is a schematic diagram of a charging station recommendation model according to an embodiment of the present disclosure.

[0033] Figure 2 This is a configuration diagram of a charging station recommendation system according to an embodiment of the present disclosure.

[0034] Figure 3This is a schematic diagram of a charging mode prediction model according to an embodiment of the present disclosure.

[0035] Figure 4 This is a sequence diagram illustrating a charging station recommendation method according to an embodiment of the present disclosure.

[0036] Figures 5 to 6 It indicates reference. Figure 4 A detailed sequence diagram illustrating a charging station recommendation method according to an embodiment of this disclosure.

[0037] Figure 7 This is a sequence diagram illustrating a charging station recommendation method according to another embodiment of this disclosure.

[0038] Figures 8 to 9 It indicates reference. Figure 7 A detailed sequence diagram illustrating a charging station recommendation method according to another embodiment of this disclosure.

[0039] Figures 10 to 13 This is an example diagram illustrating the recommended charging station determination operation that can be performed in some embodiments of this disclosure.

[0040] Figure 14 This is a hardware configuration diagram of a charging station recommendation system according to some embodiments of the present disclosure. Detailed Implementation

[0041] The preferred embodiments of this disclosure are described in detail below with reference to the accompanying drawings. The advantages and features of the invention, as well as the methods for implementing them, become apparent from the accompanying drawings and the embodiments described in detail below. However, the technical concept of the invention is not limited to the embodiments described below, but can be implemented in many different ways. The following embodiments are provided only to complete the technical concept of the invention and to fully inform those skilled in the art of the scope of the invention. The technical concept of the invention is defined only within the scope of the claims.

[0042] Furthermore, in describing this disclosure, detailed descriptions of relevant well-known structures or functions are omitted if it is believed that such descriptions may obscure the main points.

[0043] Unless otherwise defined, the terminology (including technical and scientific terms) used in the following embodiments can be used in a meaning commonly understood by one of ordinary skill in the art to which this disclosure pertains, but this may also vary depending on the intent or precedent of one of ordinary skill in the relevant art, the emergence of new technologies, etc. The terminology used in this disclosure is for the purpose of describing embodiments, and the scope of this disclosure is not limited thereto.

[0044] In the following embodiments, the singular expression used includes the concept of plural unless explicitly specified in the context. Furthermore, the plural expression includes the concept of singular unless explicitly specified in the context.

[0045] Furthermore, the terms such as first, second, A, B, (a), (b) used in the following embodiments are only used to distinguish certain structural elements from other structural elements, and do not mean that the nature, order, or sequence of the structural elements is limited by the term.

[0046] Before describing this instruction manual, it is important to understand the terminology used in it.

[0047] In this specification, "vehicle" as a means of transportation can refer to a means of transport used for the movement of people or the transport of goods. Furthermore, the vehicle can be any of the following: electric vehicle, autonomous vehicle, bicycle, shared electric scooter, urban air mobility (UAM), or unmanned aerial vehicle (UAV). And the power source used by the mobile device can be electricity.

[0048] However, for ease of explanation, this manual assumes that the vehicle is an electric vehicle.

[0049] Hereinafter, various embodiments disclosed herein will be described in detail with reference to the accompanying drawings.

[0050] The following is for reference. Figure 1 This invention describes the structure and operation of a charging station recommendation method according to one embodiment of the present disclosure. Figure 1 This is a schematic diagram of a charging station recommendation model according to an embodiment of the present disclosure.

[0051] like Figure 1 As shown, the charging station recommendation method can be a method that identifies more than one charging station by obtaining charging station recommendation model 100 information on the current location and vehicle destination, and provides the identified more than one recommended charging station to the user. However, the scope of this disclosure is not limited to this. In some cases, it can also be a method that identifies more than one charging station by obtaining one of the charging station recommendation model 100 information on the current location or vehicle destination, and provides the identified more than one recommended charging station to the user. Alternatively, it can also be a method that identifies one charging station by obtaining more than one of the information on the current location and vehicle destination, and provides the identified one recommended charging station to the user.

[0052] Next, Figure 2 This is a configuration diagram of a charging station recommendation system according to an embodiment of the present disclosure.

[0053] like Figure 2 As shown, the charging station recommendation system 230 can connect to the navigation device 210 or the charging fee settlement server 240 through the communication network 220 to obtain the current location and vehicle destination information, obtain the charging station search history and vehicle charging history, obtain the user's vehicle charging mode, identify recommended charging stations, obtain charging station information, and provide the recommended charging stations to the user.

[0054] The vehicle's destination and current location can be entered by the user through the navigation device 210, or they can be obtained based on GPS information.

[0055] However, the scope of this disclosure is not limited thereto. In some cases, the charging station recommendation system 230 and the navigation device 210 may not be connected via the communication network 220, but rather the charging station recommendation system 230 may be included in the navigation device 210. Alternatively, the charging station recommendation system 230 may connect only to the navigation device 210 via the communication network 220 to obtain current location and destination information, as well as charging station search history and vehicle charging history.

[0056] Furthermore, the charging fee settlement server 240 can be a charging station management server that acquires and provides charging station usage history, current charging station usage status, fault status, and door opening / closing information for individual vehicles. However, for ease of explanation, this specification assumes that the server acquiring and providing charging station usage history, current charging station usage status, fault status, and door opening / closing information for individual vehicles is a charging fee settlement server.

[0057] The charging station recommendation system 230 can connect to the navigation device 210 via the communication network 220 to obtain current location and destination information. The charging station recommendation system 230 can identify the industry type related to the acquired destination and determine the charging type based on the identified industry type.

[0058] Furthermore, the charging station recommendation system 230 can connect to the navigation device 210 via the communication network 220 to obtain current location and destination information. Based on the current location, destination, and remaining vehicle battery power, the charging station recommendation system 230 can obtain the vehicle's driving route and identify one or more charging stations related to the driving route as recommended charging stations. The navigation device 210 can connect to the charging station recommendation system 230 via the communication network 220 to obtain the identified recommended charging station data and provide the obtained recommended charging station data to the user.

[0059] Furthermore, the charging station recommendation system 230 can connect to the navigation device 210 and the charging fee settlement server 240 via the communication network 220 to obtain charging station search history and vehicle charging history. The charging station recommendation system 230 can then determine the user's vehicle charging mode based on the obtained charging station search history and vehicle charging history. The method for obtaining the user's vehicle charging mode will be discussed in the reference section. Figure 3 To be discussed later.

[0060] Furthermore, the charging station recommendation system 230 can connect to the charging fee settlement server 240 via the communication network 220 to obtain information on multiple charging stations located within a predetermined distance from the vehicle's destination or within a predetermined distance along the vehicle's driving route. The predetermined distance can be set in various ways according to the embodiments.

[0061] In addition, the charging station recommendation system 230 can use the vehicle charging mode obtained based on the charging station search history and vehicle charging history, as well as the industry type related to the identified destination, to determine one or more charging stations related to the driving route as recommended charging stations.

[0062] Next, Figure 3 This is a schematic diagram of a charging mode prediction model according to an embodiment of the present disclosure.

[0063] like Figure 3 As shown, the user charging mode prediction method can be a method of obtaining the user's charging mode 320 based on the user's charging station search history and vehicle charging history obtained by the charging mode prediction model 300.

[0064] A user's charging station search history can include the time point when the search was conducted, such as before or after the vehicle departs for its destination, or the remaining battery level of the vehicle at the time of the search. Based on the user's charging station search history, the user charging pattern 320 obtained by the charging pattern prediction model 300 can be a pattern reflecting the driving time when the user is charging and the remaining battery level when the user wants to charge.

[0065] Charging mode prediction model 300 can be included in the reference Figure 2 In the described charging station recommendation system 230, the user's charging station search history obtained by the charging mode prediction model 300 can be obtained by the charging station recommendation system 230 through the communication network 220 connected to the navigation device 210.

[0066] The vehicle's charging history at charging stations can include the time points when charging occurred before or after the vehicle departed for its destination, or the remaining battery level at the time of charging, as well as the type of charger used. Based on the charging history at charging stations, the user charging pattern 320 obtained by the charging pattern prediction model 300 can be a pattern reflecting the driving time when the user charged, the remaining battery level when the user wanted to charge, and the user's most frequently used preferred charger type.

[0067] Charging mode prediction model 300 can be included in the reference Figure 2 In the described charging station recommendation system 230, the charging history records of charging stations obtained by the charging mode prediction model 300 can be obtained by the charging station recommendation system 230 through the communication network 220 connected to the charging fee payment server 240.

[0068] Next, Figure 4 This is a sequence diagram illustrating a recommended method for charging stations according to an embodiment of this disclosure. However, this is merely a preferred embodiment for achieving the purposes of this disclosure, and some steps may be added or removed as needed.

[0069] like Figure 4 As shown, the charging station recommendation system 230 can receive the vehicle's destination and current location (S100). The vehicle's destination and current location can be input by the user through the navigation device 210, or can be obtained based on GPS information.

[0070] Subsequently, the charging station recommendation system 230 can identify the industry type of the destination based on the received vehicle destination information (S200). By identifying the industry type of the destination, the charging station recommendation system 230 predicts the time the vehicle will stay and charge at the destination.

[0071] The industry type of the destination can include places where long-term stays are expected, such as hotels, accommodations, and residential properties. Alternatively, the industry type of the destination can include places where short-term stays are expected, such as department stores, outlet malls, cinemas, restaurants, and workplaces. Alternatively, the industry type of the destination can include places where very short-term stays or transits are expected, such as logistics warehouses and convenience stores. The scope of this disclosure is not limited to these.

[0072] Subsequently, the charging station recommendation system 230 can determine the charging type based on the identified industry type (S300). The charging type is determined based on the duration of the vehicle's stay and charging at the destination. When the vehicle is expected to stay at the destination for a short period, the charging station recommendation system 230 can determine fast charging as the charging type and perform fast charging. Alternatively, when the vehicle is expected to stay at the destination for a long period, the charging station recommendation system 230 can determine slow charging as the charging type and perform slow charging.

[0073] Subsequently, the charging station recommendation system 230 can identify charging stations that include chargers of a determined charging type (S400). When the determined charging type is fast charging, the charging station recommendation system 230 can identify a fast charger as the charger of that charging type; when the determined charging type is ultra-fast charging, it can identify an ultra-fast charger as the charger of that charging type; and when the determined charging type is slow charging, it can identify a slow charger as the charger of that charging type.

[0074] The charging station recommendation system 230 can identify one or more charging stations, including those with a specific charging type, from a pool of charging stations located within a predetermined distance of the vehicle's destination. The charging station recommendation system 230 can obtain information about multiple charging stations within the predetermined distance from a charging fee payment server 240 connected via a communication network 220. Based on the obtained information about multiple charging stations within the predetermined distance, the charging station recommendation system 230 can identify charging stations including those with the specific charging type from among the multiple charging stations within the predetermined distance.

[0075] Subsequently, the charging station recommendation system 230 can provide the identified charging stations as recommended charging stations (S500). The charging station recommendation system 230 can also provide the identified charging stations to the navigation device 210 connected via the communication network 220 as recommended charging stations.

[0076] According to this embodiment, by identifying the industry type of the destination and providing charging stations accordingly, the purpose of visiting the destination can be reflected in the use of the charging stations. For example, to protect vehicle battery life, appropriate slow charging is required; therefore, when a long stay is expected, charging stations including slow chargers are recommended to protect vehicle battery life. Alternatively, in the case of a short stay, fast chargers or ultra-fast chargers are recommended to obtain maximum charging efficiency, providing users with a stable driving experience.

[0077] Next, refer to Figure 5 Detailed description based on reference Figure 4 The described embodiment of this disclosure is a method for identifying the industry type of a destination, determining the charging type, and recommending charging stations.

[0078] like Figure 5 As shown, in the step of identifying the industry type (S200), the charging station recommendation system 230 can identify whether the industry type of the destination is a short-stay industry (S210). Short-stay industries are those where the user expects to stay for a short time, such as cafes, cinemas, and shops. Long-stay industries that are not short-stay industries include those where the user expects to stay for a long time, such as accommodation, residences, and companies.

[0079] When the charging station recommendation system 230 identifies that the vehicle is expected to stay at the destination for a short period of time (S220), it can determine the fast charging type as the charging type and perform fast charging (S310); when it identifies that the vehicle is expected to stay at the destination for a long period of time (S230), it can determine the slow charging type as the charging type and perform slow charging (S320).

[0080] When the charging station recommendation system 230 determines fast charging as the charging type, it can acquire information on multiple charging stations within a predetermined distance and identify charging stations that include fast charging type chargers from the acquired multiple charging stations as recommended charging stations (S410); when the slow charging type is determined as the charging type, it can acquire information on multiple charging stations within a predetermined distance and identify charging stations that include slow charging type chargers from the acquired multiple charging stations as recommended charging stations (S420).

[0081] Next, refer to Figure 6 Detailed description based on reference Figure 4 Another embodiment of this disclosure describes a method for recommending charging stations based on remaining battery capacity.

[0082] like Figure 6 As shown, the charging station recommendation system 230 can obtain the remaining battery level of the vehicle and determine whether the value is less than a first value (S110). The first value can be set in various ways according to the embodiments. For example, the first value can be the average remaining battery level of the vehicle when the user is charging. Alternatively, the first value can be the remaining battery level of the vehicle to maintain the vehicle battery life efficiency.

[0083] When the charging station recommendation system 230 determines that the remaining battery level of the vehicle is less than a first value (S120), it can identify whether the industry type of the destination is a long-stay industry (S240). When the charging station recommendation system 230 identifies that the vehicle is not expected to stay at the destination for a long time (S250), it can determine the fast charging type as the charging type and perform fast charging (S330). When the charging station recommendation system 230 determines the fast charging type as the charging type, it can obtain information on multiple charging stations located within a predetermined distance and select a charging station that includes a fast charging type charger from the obtained multiple charging stations as the recommended charging station (S430).

[0084] When the charging station recommendation system 230 determines that the remaining battery level of the vehicle is less than a first value (S120), it can identify whether the industry type of the destination is a long-stay industry (S240). When the charging station recommendation system 230 identifies that the vehicle is expected to stay at the destination for a long time (S260), it can determine the user's preferred charging type as the charging type and execute the user's preferred charging (S340). When the charging station recommendation system 230 determines the user's preferred charging type as the charging type, it can obtain information on multiple charging stations within a predetermined distance and select a charging station that includes a charger of the preferred charging type as the recommended charging station from the obtained multiple charging stations (S440).

[0085] User preferred charging type is the charging type determined based on the user's charging mode. It can be the user's preferred charging type between fast chargers and slow chargers.

[0086] When the charging station recommendation system 230 determines that the remaining battery level of the vehicle is above a first value (S130), it can determine the user's preferred charging type as the charging type and execute the user's preferred charging (S340). When the charging station recommendation system 230 determines the user's preferred charging type as the charging type, it can obtain information on multiple charging stations located within a predetermined distance and select a charging station that includes a charger of the preferred charging type as the recommended charging station from the obtained multiple charging stations (S440).

[0087] Next, Figure 7 This is a sequence diagram illustrating a charging station recommendation method according to another embodiment of this disclosure.

[0088] like Figure 7 As shown, the charging station recommendation system 230 can receive the vehicle's destination and current location (S100). The vehicle's destination and current location can be input by the user through the navigation device 210, or they can be obtained based on GPS information.

[0089] Subsequently, the charging station recommendation system 230 can obtain the user's vehicle charging mode (S600). (See reference...) Figure 3 As described, a user's charging pattern can be generated based on at least one of the user's charging station search history and the vehicle's charging history. The charging station recommendation system 230 can connect to the navigation device 210 or the charging fee payment server 240 via the communication network 220 to obtain the charging station search history and the vehicle's charging history, and thus obtain the user's vehicle charging pattern.

[0090] When the charging station recommendation model 100 obtains historical vehicle charging data showing an increase in battery level within a critical timeframe before navigation begins guiding to the destination, or after navigation begins guiding to the destination, it can obtain vehicle charging patterns reflecting the user's charging activities before driving. For example, when the charging station recommendation model 100 obtains historical vehicle charging data showing an increase in battery level within a critical timeframe before navigation begins guiding to the destination, it can use charging stations at the beginning of the driving route as recommended charging stations to generate the user's charging pattern.

[0091] When the charging station recommendation model 100 obtains the vehicle's charging history records showing an increase in battery level after navigation begins guiding to the destination and a critical time has elapsed, it can obtain the vehicle's charging pattern reflecting the user's charging behavior while driving. For example, when the charging station recommendation model 100 obtains the vehicle's charging history records showing an increase in battery level after navigation begins guiding to the destination and a critical time has elapsed, it can use charging stations located later in the driving route as recommended charging stations to generate the user's charging pattern.

[0092] The charging station recommendation model 100 can obtain the user's vehicle charging pattern, which reflects the distance the vehicle has traveled before charging, i.e., the first travel distance. For example, the charging station recommendation model 100 can generate the user's charging pattern by reflecting the charging stations located at the first travel distance from the current location as recommended charging stations.

[0093] The charging station recommendation model 100 can obtain the user's vehicle charging pattern reflecting the first remaining battery level as the vehicle's battery level increases. For example, the charging station recommendation model 100 can generate the user's charging pattern by recommending charging stations located at locations corresponding to the predicted distance from the current remaining battery level to the first remaining battery level.

[0094] When the charging station recommendation model 100 obtains the user's charging station search history before navigation begins to guide to the destination, or within a critical time after navigation begins to guide to the destination, it can obtain the vehicle charging pattern reflecting the user's charging before driving. For example, when the charging station recommendation model 100 obtains the vehicle charging history where the remaining battery level increases before navigation begins to guide to the destination, or within a critical time after navigation begins to guide to the destination, it can use the charging stations at the beginning of the driving route as recommended charging stations to generate the user's charging pattern.

[0095] When the charging station recommendation model 100 obtains the user's charging station search history after navigation begins guiding to the destination and after a critical time has elapsed, it can obtain the vehicle charging pattern that reflects the user's charging while driving. For example, when the charging station recommendation model 100 obtains the vehicle charging history where the remaining battery level increases after navigation begins guiding to the destination and after a critical time has elapsed, it can use charging stations in the latter part of the driving route as recommended charging stations to generate the user's charging pattern.

[0096] The charging station recommendation model 100 can obtain the user's vehicle charging pattern reflecting the first moving distance when the user searches for a charging station. For example, the charging station recommendation model 100 can generate the user's charging pattern by recommending charging stations located at the first moving distance from the current location.

[0097] The charging station recommendation model 100 can obtain the user's vehicle charging pattern, which reflects the first remaining battery level when the user searches for a charging station. For example, the charging station recommendation model 100 can generate the user's charging pattern by predicting the distance to the first remaining battery level based on the current remaining battery level, and recommending charging stations located at locations corresponding to that distance.

[0098] Subsequently, the charging station recommendation system 230 can obtain a driving route (S700). The driving route can be a route from the current location to the destination. The driving route can be determined based on traffic conditions, the user's preferred route, the time required for route use, the cost of route use, and the electricity required for route use. The driving route can consist of multiple sub-sections. Each sub-section can have a predefined distance.

[0099] Subsequently, the charging station recommendation system 230 can determine a sub-interval related to the charging station recommendation from multiple sub-intervals, namely the target sub-interval (S800). The charging station recommendation system 230 can identify one or more charging stations located within a predetermined distance of the determined target sub-interval as recommended charging stations. The target sub-interval related to the charging station recommendation can be determined based on the user's vehicle charging mode.

[0100] For example, when the charging station recommendation system 230 generates a user's charging mode by reflecting the charging stations in the initial segment of the driving route as recommended charging stations, the initial segment segment can be determined as the target sub-interval among multiple sub-intervals.

[0101] Alternatively, when the charging station recommendation system 230 generates a user's charging pattern by reflecting the charging stations in the latter part of the driving route as recommended charging stations, the latter part of the route can be determined as the target sub-interval among multiple sub-intervals.

[0102] Alternatively, when the charging station recommendation system 230 generates a user's charging mode by reflecting the charging stations at the first moving distance from the current location as recommended charging stations, the interval at the first moving distance from the current location can be determined as the target sub-interval among multiple sub-intervals.

[0103] Alternatively, when the charging station recommendation system 230 generates a user's charging pattern by reflecting charging stations located at locations corresponding to the estimated distance from the current vehicle's remaining battery capacity to the estimated distance from the estimated first remaining battery capacity, it can determine the interval that is at the current location and is at that distance (i.e., the distance from the estimated first remaining battery capacity) as the target sub-interval among multiple sub-intervals.

[0104] Subsequently, the charging station recommendation system 230 can provide the identified charging stations as recommended charging stations (S500). The charging station recommendation system 230 can also provide the identified charging stations as recommended charging stations to the navigation device 210 connected via the communication network 220.

[0105] According to this embodiment, by obtaining the user's vehicle charging mode and recommending charging stations based on that mode, a satisfactory driving experience that reflects the user's individual needs can be provided.

[0106] Next, refer to Figure 8 Detailed description based on reference Figure 7 The present disclosure describes an embodiment of a method for determining a pattern and recommending a charging station.

[0107] like Figure 8 As shown, in the step of determining a target sub-interval related to charging station recommendations among multiple sub-intervals, the charging station recommendation system 230 can determine whether the user's vehicle charging mode is a mode in which the remaining battery level increases within a critical time (S810). If the user's vehicle charging mode is a mode in which the remaining battery level increases within a critical time (S820), the charging station recommendation system 230 can determine the interval from the origin to the predetermined distance, i.e., the first sub-interval, as the target sub-interval (S830), and identify the charging stations included in the first sub-interval as recommended charging stations (S840).

[0108] Alternatively, if the charging station recommendation system 230 determines that the remaining battery level is not in a pattern of increasing within a critical time (S850), it can obtain the first moving distance of the increasing remaining battery level (S860) and identify the charging stations included in the second sub-interval within a predetermined range of the interval of the first moving distance from the current position as recommended charging stations (S870).

[0109] Next, refer to Figure 9 Detailed description based on reference Figure 7The present disclosure describes one embodiment, identifies a pattern, and recommends other methods for charging stations.

[0110] like Figure 9 As shown, in the step of determining a target sub-interval related to charging station recommendations among multiple sub-intervals, the charging station recommendation system 230 can determine whether the user's vehicle charging mode is the pre-departure charging station search mode (S812). If the user's vehicle charging mode is the pre-departure charging station search mode (S822), the charging station recommendation system 230 can determine the interval from the departure point to the predetermined distance, i.e., the first sub-interval, as the target sub-interval (S832), and identify the charging stations included in the first sub-interval as recommended charging stations (S842).

[0111] Alternatively, if the charging station recommendation system 230 determines that it is not the mode of searching for charging stations before departure (S852), it can obtain the remaining battery amount when searching for charging stations (S862) and identify the second sub-interval charging station at the current location where the remaining battery amount is expected to reach that amount as a recommended charging station (S872).

[0112] Next, Figures 10 to 13 This is an example diagram illustrating the recommended charging station determination operation that can be performed in some embodiments of this disclosure.

[0113] like Figure 10 As shown, the charging station recommendation system 230 can receive the vehicle's destination 600, current location 620, and origin 610. The vehicle's destination 600, origin 610, and current location 620 can be input by the user through the navigation device 210, or they can be obtained based on GPS information.

[0114] The charging station recommendation system 230 can connect to the navigation device 210 or the charging fee settlement server 240 through the communication network 220 to obtain the charging station search history and vehicle charging history, and obtain the user's vehicle charging mode.

[0115] Subsequently, the charging station recommendation system 230 can obtain the driving route. The driving route can be from the origin 610 to the destination 600. The driving route can be determined based on traffic conditions, user-preferred roads, the time required for route use, the cost of route use, and the electricity required for route use. The driving route can consist of multiple sub-sections. Each of the multiple sub-sections can have a predefined distance.

[0116] The charging station recommendation system 230 can identify one or more charging stations located within a predetermined distance of a defined target sub-interval as recommended charging stations. If the charging station recommendation system 230 acquires a vehicle charging pattern reflecting the user's charging behavior before driving, it can identify the initial segment as the target sub-interval among multiple sub-intervals. The target sub-interval related to the charging station recommendation can be determined based on the user's vehicle charging pattern.

[0117] For example, when the charging station recommendation model 100 obtains the vehicle's charging history before navigation begins guiding to destination 600, or after navigation begins guiding to destination 600 within a critical time, it can obtain the vehicle's charging pattern reflecting the user's charging before driving. Alternatively, when the charging station recommendation model 100 obtains the user's charging station search history before navigation begins guiding to destination 600, or after navigation begins guiding to destination 600 within a critical time, it can obtain the vehicle's charging pattern reflecting the user's charging before driving.

[0118] If the charging station recommendation system 230 obtains the vehicle charging pattern reflecting the user's charging before driving, it can divide the driving route from the current location 620 to the destination 600 into multiple sub-sections, and determine the initial section closer to the starting point 610 as the target sub-section. The charging station recommendation system 230, having determined the target sub-section, can then identify charging stations 630 and 640 located within a predetermined distance of the target sub-section as recommended charging stations.

[0119] The charging station recommendation system 230, which identifies charging stations 630 and 640 as recommended charging stations, can determine the user's preferred charging type as the charging type, so that the user can perform charging of the preferred type. The charging station recommendation system 230, which determines the user's preferred charging type as the charging type, can identify and provide charging station 640, which includes more chargers matching the user's preferred charging type, as a recommended charging station among charging stations 630 and 640.

[0120] like Figure 11 As shown, in the user vehicle charging mode obtained by the charging station recommendation system 230, the charging station recommendation system 230 can receive the vehicle's destination 700, current location 720, and departure point 710.

[0121] Subsequently, the charging station recommendation system 230 can obtain the driving route. The driving route can be from the origin 710 to the destination 700. The driving route can be determined based on traffic conditions, user-preferred roads, the time required for route use, the cost of route use, and the electricity required for route use. The driving route can consist of multiple sub-sections. Each of the multiple sub-sections can have a predefined distance.

[0122] The charging station recommendation system 230 can identify one or more charging stations located within a predetermined distance of a defined target sub-interval as recommended charging stations. The charging station recommendation model 100 can generate a user's charging pattern by reflecting charging stations located at a first movement distance from the current location as recommended charging stations. If the charging station recommendation system 230 obtains a vehicle charging pattern reflecting an increase in the vehicle's remaining battery power or a user searching for a charging station at the first movement distance, it can determine the interval from the origin 710 to the first movement distance as the target sub-interval. The target sub-interval related to the charging station recommendation can be determined based on the user's vehicle charging pattern.

[0123] For example, the charging station recommendation model 100 can acquire the user vehicle charging pattern reflecting the increase in the remaining battery level of the vehicle over a first travel distance. Alternatively, the charging station recommendation model 100 can acquire the user vehicle charging pattern reflecting the user's search for charging stations at the first travel distance. The charging station recommendation model 100 can identify charging stations located a first travel distance from the origin 710 as recommended charging stations, thereby generating the user's charging pattern.

[0124] After obtaining the user vehicle charging pattern reflecting the increase in the vehicle's remaining battery level over a first travel distance, the charging station recommendation system 230 can divide the driving route from the starting point 710 to the destination 700 into multiple sub-sections, and determine the section from the starting point 710 that is a distance away from the first travel distance as the target sub-section. Having determined the target sub-section, the charging station recommendation system 230 can recommend charging stations 740 located within a predetermined distance of the target sub-section, rather than nearby charging stations 730.

[0125] like Figure 12 As shown, in the user vehicle charging mode obtained by the charging station recommendation system 230, the charging station recommendation system 230 can receive the vehicle's destination 800, current location 820, and departure point 810.

[0126] Subsequently, the charging station recommendation system 230 can obtain the driving route. The driving route can be from the origin 810 to the destination 800. The driving route can be determined based on traffic conditions, user-preferred roads, the time required for route use, the cost of route use, and the electricity required for route use. The driving route can consist of multiple sub-sections. Each of the multiple sub-sections can have a predefined distance.

[0127] The charging station recommendation system 230 can identify one or more charging stations located within a predetermined distance of a defined target sub-interval as recommended charging stations. The charging station recommendation system 230 can reflect the remaining battery level that the user wishes to charge, thereby generating the user's charging pattern. If the charging station recommendation system 230 obtains a user vehicle charging pattern reflecting a first remaining battery level indicating an increase in the vehicle's remaining battery level, it can determine the interval from the origin 810 as a target sub-interval based on the estimated distance the vehicle's remaining battery level will reach the first remaining battery level. The target sub-interval related to the charging station recommendation can be determined based on the user's vehicle charging pattern.

[0128] For example, the charging station recommendation model 100 can acquire a user vehicle charging pattern reflecting a first remaining battery level as the vehicle's battery level increases. Alternatively, the charging station recommendation model 100 can acquire a user vehicle charging pattern reflecting a first remaining battery level when the user searches for a charging station. Based on the estimated distance to reach the first remaining battery level, the charging station recommendation model 100 can recommend charging stations located at distances from the origin 810, thereby generating the user's charging pattern.

[0129] After acquiring the user vehicle charging pattern reflecting the expected distance to reach the first remaining battery level (i.e., the first remaining battery level at which the vehicle's remaining battery level increases), the charging station recommendation system 230 can divide the driving route from the departure point 810 to the destination 800 into multiple sub-sections, and determine the section that is at least a certain distance from the departure point 810 (i.e., the distance at which the vehicle's remaining battery level is expected to reach the first remaining battery level) as the target sub-section. The charging station recommendation system 230, having determined the target sub-section, can recommend the charging station 840 located within a predetermined distance of the target sub-section, rather than the charging station 830 that is closest to the destination.

[0130] like Figure 13 As shown, in the user vehicle charging mode obtained by the charging station recommendation system 230, the charging station recommendation system 230 can receive the vehicle's destination 900, current location 920, and origin 910.

[0131] Subsequently, the charging station recommendation system 230 can obtain the driving route. The driving route can be from the origin 910 to the destination 900. The driving route can be determined based on traffic conditions, user-preferred roads, the time required for route use, the cost of route use, and the amount of electricity required for route use. The driving route can consist of multiple sub-sections. Each of the multiple sub-sections can have a predefined distance.

[0132] The charging station recommendation system 230 can identify one or more charging stations located within a predetermined distance of a defined target sub-interval as recommended charging stations. The charging station recommendation system 230 can acquire vehicle charging patterns reflecting a charging behavior where the user only starts charging after a critical time following navigation to the destination. If the charging station recommendation system 230 acquires a vehicle charging pattern where the user only starts charging after a critical time following navigation to the destination, it can identify the latter part of the sub-interval as the target sub-interval among multiple sub-intervals. The target sub-interval related to charging station recommendations can be determined based on the user's vehicle charging pattern.

[0133] For example, when the charging station recommendation model 100 obtains the vehicle's charging history where the remaining battery level increases after a critical time following the start of navigation to the destination 900, it can obtain the vehicle's charging pattern reflecting the user's charging while driving. Alternatively, when the charging station recommendation model 100 obtains the user's charging station search history after a critical time following the start of navigation to the destination 900, it can obtain the vehicle's charging pattern reflecting the user's charging before driving.

[0134] After acquiring vehicle charging patterns reflecting the user's charging behavior while driving, the charging station recommendation system 230 can divide the driving route from the origin 910 to the destination 900 into multiple sub-sections, and identify the sub-sections closer to the destination 900 rather than closer to the current location 920 as target sub-sections. The charging station recommendation system 230, having identified the target sub-sections, can then recommend charging stations 930 located within a predetermined distance of those target sub-sections.

[0135] Alternatively, the charging station recommendation system 230 can determine the charging type based on the industry type associated with the identified vehicle destination 900, and identify one or more charging stations 930 and 940 associated with the driving route as recommended charging stations.

[0136] The charging station recommendation system 230 can receive the vehicle's destination 900 and current location 920. The vehicle's destination, current location 920, and departure point 910 can be input by the user through the navigation device 210, or they can be obtained based on GPS information.

[0137] Subsequently, the charging station recommendation system 230 can identify the industry type of the destination based on the received vehicle destination information. The charging station recommendation system 230 can then predict the duration of the vehicle's stay and charging at the destination by identifying the industry type.

[0138] The industry type of the destination can include places where long-term stays are expected, such as hotels, accommodations, and residential properties. Alternatively, the industry type of the destination can include places where short-term stays are expected, such as department stores, outlet malls, cinemas, restaurants, and workplaces. Or, the industry type of the destination can include places where very short-term stays or transits are expected, such as logistics warehouses and convenience stores.

[0139] Subsequently, the charging station recommendation system 230 can determine the charging type based on the identified industry type. The charging type is determined based on the estimated time the vehicle will stay at the destination and charge. When the vehicle is expected to stay at the destination for a short period, the charging station recommendation system 230 can determine fast charging as the charging type for fast charging. Alternatively, when the vehicle is expected to stay at the destination for a long period, the charging station recommendation system 230 can determine slow charging as the charging type for slow charging.

[0140] Subsequently, the charging station recommendation system 230 can identify charging stations that include chargers of the determined charging type. When the determined charging type is fast charging, the charging station recommendation system 230 can identify a fast charger as the charger of the charging type; when the determined charging type is ultra-fast charging, it can identify an ultra-fast charger as the charger of the charging type; and when the determined charging type is slow charging, it can identify a slow charger as the charger of the charging type.

[0141] The charging station recommendation system 230 can identify one or more charging stations 930 and 940, including chargers of a specific charging type, from multiple charging stations located within a predetermined distance from the vehicle's destination. The charging station recommendation system 230 can obtain information about multiple charging stations within the predetermined distance from a charging fee settlement server 240 connected via a communication network 220. Based on the obtained information about multiple charging stations within the predetermined distance, the charging station recommendation system 230 can identify charging stations including chargers of the specific charging type from among the multiple charging stations within the predetermined distance.

[0142] Subsequently, the charging station recommendation system 230 can provide the identified charging stations as recommended charging stations. The charging station recommendation system 230 can also provide the identified charging stations to the navigation device 210 connected via the communication network 220 as recommended charging stations.

[0143] For example, charging station recommendation model 100 can identify destination 900 as a hotel based on received vehicle destination information, and destination 900's industry type belongs to the long-stay type. Charging station recommendation system 230 can determine slow charging as the charging type based on destination 900's industry type being long-stay. Charging station recommendation system 230 can then determine a slow charger as the charger based on this determination.

[0144] Subsequently, the charging station recommendation system 230 can identify multiple charging stations 930 and 940 located within a predetermined distance of the vehicle's destination 900. The charging station recommendation system 230 can obtain information about multiple charging stations within the predetermined distance from a charging fee settlement server 240 connected via the communication network 220. Then, based on the information from the multiple charging stations, the charging station recommendation system 230 provides charging station 930, which is identified as including a slow charger, as a recommended charging station.

[0145] Figure 14 This is a hardware configuration diagram of a charging station recommendation system according to some embodiments of the present disclosure. Figure 14 The computing system 1000 shown may include one or more processors 1100, a system bus 1600, a communication interface 1200, a memory 1400 for loading a computer program 1500 executed by the processor 1100, and a storage device 1300 for storing the computer program 1500.

[0146] Processor 1100 controls the overall operation of the various structures of computing system 1000. Processor 1100 can perform operations on at least one application program or program for executing methods / operations according to various embodiments of the present disclosure. Memory 1400 stores various data, instructions, and / or information. Memory 1400 can load one or more computer programs 1500 from storage device 1300 to execute methods / operations according to various embodiments of the present disclosure. System bus 1600 provides communication functionality between the structural elements of computing system 1000. Communication interface 1200 supports Internet communication of computing system 1000. Communication interface 1200 is connected to the vehicle's electronic control unit (ECU) via Controller Area Network (CAN), thereby also receiving vehicle driving information in real time.

[0147] Storage device 1300 may temporarily store more than one computer program 1500. Computer program 1500 may include more than one instruction implementing the methods / operations according to various embodiments of the present disclosure. When computer program 1500 is loaded into memory 1400, processor 1100 may execute the methods / operations of various embodiments of the present disclosure by executing the more than one instruction.

[0148] In some embodiments, reference Figure 14 The computing system 1000 described can be constructed based on cloud technologies such as virtual machines, utilizing one or more physical servers included in a server farm. In this case, such as Figure 14 Among the structural elements shown, at least a portion of the processor 1100, memory 1400, and storage device 1300 may be virtual hardware, and the communication interface 1200 may also be composed of virtualized network components such as a virtual switch.

[0149] The computer program 1500 may include instructions to perform the following operations: identifying an industry type related to a vehicle destination corresponding to the navigation device; determining a charging type based on the identified industry type; identifying one or more charging stations from a plurality of charging stations located within a predetermined distance of the vehicle destination, including a charger with the determined charging type; and providing the identified one or more charging stations as recommended charging stations to the user.

[0150] References up to now Figures 1 to 14 Various embodiments of the present disclosure and the effects of these embodiments are mentioned. The effects of the technical concept disclosed are not limited to those mentioned above; those skilled in the art can clearly understand other effects not mentioned through the following description.

[0151] The technical concepts disclosed herein, as described so far, can be implemented by computer-readable code on a computer-readable medium. The computer program recorded on the computer-readable medium can be transmitted to other computing devices via networks such as the Internet, and can be set on those other computing devices, thereby enabling its use on those other computing devices.

[0152] Although the operations are illustrated in a specific order in the accompanying figures, they should not be construed as requiring the operations to be performed in the specific order shown or sequentially, or as requiring all illustrated operations to be performed in order to obtain the desired result.

[0153] In certain situations, multitasking and parallel processing are more advantageous. While various embodiments of this disclosure have been described above with reference to the accompanying drawings, those skilled in the art will understand that this disclosure can be implemented in other specific ways without altering its technical concept or essential features. Therefore, it should be understood that the embodiments described above are illustrative in all respects and not limiting. The scope of protection of this invention should be interpreted in accordance with the appended claims, and all technical concepts within the scope of the claims should be interpreted as included within the scope of the technical concepts defined by this disclosure.

Claims

1. A charging station recommendation method performed by a computing system, the method comprising: Comprising: a step of identifying an industry type related to a vehicle destination; a step of determining a charging type based on the identified industry type; a step of identifying one or more charging stations including a charger of the determined charging type from among a plurality of charging stations located within a predetermined distance of the vehicle destination; and a step of providing the identified one or more charging stations to a user as recommended charging stations.

2. The charging station recommendation method according to claim 1, wherein the step of determining the charging type includes a step of determining the charging type as a quick charging type in response to the industry type being judged as a short-term stay industry type; the recommended charging stations include a charger of the quick charging type.

3. The charging station recommendation method according to claim 1, wherein the step of determining the charging type includes a step of determining the charging type as a slow charging type in response to the industry type being judged as a long-term stay industry type; the recommended charging stations include a charger of the slow charging type.

4. The charging station recommendation method according to claim 1, wherein the step of determining the charging type includes a step of determining the charging type based on the identified industry type and a remaining battery amount of the vehicle.

5. The charging station recommendation method according to claim 4, wherein the step of determining the charging type includes a step of determining the charging type as a quick charging type when the identified industry type is a short-term stay industry type and the remaining battery amount of the vehicle is less than a first value; the recommended charging stations include a charger of the quick charging type.

6. The charging station recommendation method according to claim 4, wherein the step of determining the charging type includes: a step of identifying a user's preferred charging type based on a user charging pattern when the remaining battery amount of the vehicle is two or more than a second value; and a step of determining the charging type as the user's preferred charging type. Comprising:

7. A charging station recommendation method executed by a computing system, the method comprising: a step of acquiring a vehicle charging pattern of a user; a step of acquiring a driving route of a vehicle; a step of determining a target sub-section related to charging station recommendation from among a plurality of sub-sections included in the driving route based on the acquired vehicle charging pattern; and a step of providing one or more charging stations located within a predetermined distance of the determined sub-section to a user.

8. The charging station recommendation method according to claim 7, wherein the step of determining the target sub-section includes a step of determining a first sub-section from a departure location to a predetermined distance as the target sub-section when a pattern in which a remaining battery amount of the vehicle increases before arrival at a destination or a remaining battery amount increases within a critical time after arrival at the destination is acquired from the vehicle charging pattern.

9. The charging station recommendation method according to claim 7, wherein the step of determining the target sub-section includes: a step of acquiring a moving distance before charging of the vehicle based on the acquired vehicle charging pattern; and a step of determining a target sub-section from among the plurality of sub-sections based on the acquired moving distance. ​ ​ 10. The charging station recommendation method of claim 7, wherein, The charging mode is generated based on at least one of a charging station search history of the user and a charging history of the vehicle. 11.The charging station recommendation method of claim 7, wherein, The determining of the target sub-interval includes determining a first sub-interval from a departure location to a predetermined distance as the target sub-interval when the charging station search pattern of the vehicle before arrival at the destination is acquired from the vehicle charging pattern. 12.The charging station recommendation method of claim 7, wherein, The determining of the target sub-interval includes: acquiring a remaining battery level of the vehicle when the user searches for the charging station based on the acquired charging pattern of the vehicle; and determining a target sub-interval from among the plurality of sub-intervals based on a sub-interval in which the remaining battery level of the vehicle when the charging station is searched is expected to be reached. 13.The charging station recommendation method of claim 7, wherein, The providing of the one or more charging stations to the user includes: identifying a charging type preferred by the user based on the charging pattern of the vehicle; and providing one or more charging stations including a charger of the identified charging type to the user from among a plurality of charging stations located within a predetermined distance of the determined sub-interval.

14. A navigation device characterized by including: one or more processors; and a memory storing one or more instructions, The one or more processors, by executing the stored one or more instructions, perform operations of: identifying an industry type related to a vehicle destination corresponding to a navigation device; determining a charging type based on the identified industry type; identifying one or more charging stations including a charger of the determined charging type from among a plurality of charging stations located within a predetermined distance of the vehicle destination; and providing the identified one or more charging stations as recommended charging stations to a user. 15.The navigation device of claim 14, wherein, The determining of the charging type includes determining the charging type as a fast charging type in response to the industry type being determined as a short-term stay industry; The recommended charging stations include a charger of the fast charging type. 16.The navigation device of claim 14, wherein, The determining of the charging type includes determining the charging type as a slow charging type in response to the industry type being determined as a long-term stay industry; The recommended charging stations include a charger of the slow charging type. 17.The navigation device of claim 14, wherein, The determining of the charging type includes determining the charging type based on the identified industry type and a remaining battery level of the vehicle. 18.The navigation device of claim 17, wherein, The determining of the charging type includes determining the charging type as a fast charging type when the identified industry type is a short-term stay industry and the remaining battery level of the vehicle is less than a first value; ​ The recommended charging station includes a charger of the fast charging type.

19. The navigation device according to claim 17, characterized by the operation of determining the charging type includes: when the remaining amount of the battery of the vehicle is a second value or more, an operation of identifying a user's preferred charging type based on a user's charging pattern; and an operation of determining the charging type as the user's preferred charging type.

20. A navigation device characterized by includes: one or more processors; and a memory storing one or more instructions, the one or more processors execute the following operations by executing the stored one or more instructions: an operation of acquiring a vehicle charging pattern of a user of a vehicle corresponding to a navigation device; an operation of acquiring a driving route of the vehicle; an operation of determining a target sub-interval related to charging station recommendation from among a plurality of sub-intervals included in the driving route based on the acquired vehicle charging pattern; and an operation of providing one or more charging stations located within a predetermined distance of the determined sub-interval to the user.

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