Apparatus and method for recommending electric vehicle charging station

Abstract

A charging station recommendation apparatus for an electric vehicle includes: a communication device configured to communicate with a vehicle and a charging station; and a processor configured to: determine an average dwell time for each position of the vehicle by using vehicle driving information collected from the vehicle, and recommend a condition of the charging station in response to receiving vehicle information from a target vehicle, one or more charging stations near the destination are recommended to the target vehicle based on the time taken for the target vehicle to arrive at the destination and charge to the target charge amount and the average dwell time of the plurality of vehicles at each location.

Description

[0001] CROSS-REFERENCE TO RELATED APPLICATIONS

[0002] This application claims priority to and the benefit of Korean Patent Application No. 10-2023-0154835 filed in the Korean Intellectual Property Office on November 9, 2023, the entire contents of which are incorporated herein by reference. Technical Field

[0003] The present disclosure relates to an apparatus and method for recommending an electric vehicle charging station, and more particularly to a technology for automatically recommending an electric vehicle charging station based on vehicle driving information. Background Art

[0004] Unlike a conventional internal combustion engine vehicle, an electric vehicle includes a battery, a motor, an inverter, a converter, and a battery management system (BMS), and the battery adopts a rechargeable secondary battery.

[0005] A prerequisite for promoting electric vehicles is to establish a charging infrastructure, and countries around the world are deriving models of charging infrastructure composition and services and carrying out demonstration projects.

[0006] Meanwhile, electric vehicle (EV) charging stations disclose the operating status of chargers (charging points (CPs)) to attract customers.

[0007] Typically, customers refer to information disclosed by charging station operators and directly find available charging stations during their schedules and charge their vehicles. However, unlike typical cars that use petroleum as fuel, electric vehicles take a relatively long time to charge their batteries.

[0008] Therefore, in the event that a particular charging station has many electric vehicles being charged or waiting to be charged, an electric vehicle heading to the charging station may wait a long time to charge its battery or may find it difficult to charge as intended.

[0009] Therefore, the electric vehicle driver must determine the length of time they will stay at their destination and the charging time to find a suitable charging station located near their destination. That is, the electric vehicle driver manually determines the expected time to stay at their destination, searches for charging stations located near their destination, checks the charger speed and charger type of the charging station, and then selects the charging station and directly goes to the selected charging station for charging, which requires cumbersome efforts by the driver. Summary of the invention

[0010] An exemplary embodiment of the present disclosure attempts to provide an electric vehicle charging station recommendation device and method, which is configured to increase user convenience by recommending a charging station suitable for a user's situation among charging stations near a destination based on an average time the vehicle stays at each point of interest (POI) of surrounding vehicles and vehicle information of a target vehicle for charging station recommendation.

[0011] Exemplary embodiments of the present disclosure also attempt to provide an electric vehicle charging station recommendation device and method configured to collect vehicle driving information (e.g., destination information, ignition on / off information, etc.) from a vehicle, determine the average stay time of the vehicle at each POI, and store and manage them.

[0012] The technical objectives of the present disclosure are not limited to the above-mentioned objectives, and other technical objectives not mentioned can be clearly understood by those skilled in the art from the description of the present disclosure.

[0013] An exemplary embodiment of the present disclosure provides a charging station recommendation device for an electric vehicle, comprising: a communication device configured to communicate with a vehicle and a charging station; and a processor configured to determine an average stay time of the vehicle at each location by using vehicle driving information collected from the vehicle, and in response to receiving vehicle information from a target vehicle to recommend a charging station, recommend one or more charging stations near a destination to the target vehicle based on the time it takes for the target vehicle to charge to a target charge amount when arriving at the destination and the average stay time of the multiple vehicles at each location.

[0014] In an exemplary embodiment of the present disclosure, the vehicle driving information may include destination information and ignition on / off time information.

[0015] In an exemplary embodiment of the present disclosure, the vehicle information may include destination information, SOC (State of Charge) information of the vehicle, and target charge amount information.

[0016] In an exemplary embodiment of the present disclosure, the vehicle information may additionally include charging station usage history information of the vehicle, or charging station preference information of the vehicle user.

[0017] In an exemplary embodiment of the present disclosure, the processor may be configured to determine that the vehicle is a target vehicle in response to a situation where the SOC of the vehicle when arriving at a destination is less than a predetermined reference value.

[0018] In an exemplary embodiment of the present disclosure, the processor may be configured to determine the charging time using a difference between the SOC of the target vehicle when it arrives at the destination and a predetermined target charge amount and a charging speed level of the charging station.

[0019] In an exemplary embodiment of the present disclosure, the processor may be configured to use the determined charging time and, among the average stay times of each of the multiple vehicles at each location, the average stay time of the multiple vehicles at the destination of the target vehicle to recommend a charging station suitable for the charging time among the charging stations near the destination.

[0020] In an exemplary embodiment of the present disclosure, the processor may be configured to recommend one of a plurality of charging stations near the destination further by using at least one of: charging station information received from the charging station, charging station preference information, charging station usage history information, or a combination thereof.

[0021] In an exemplary embodiment of the present disclosure, the processor may be configured to use the difference between the ignition-off time of the previous trip and the ignition-on time of the next trip collected from the vehicle to determine the average dwell time at each location.

[0022] In an exemplary embodiment of the present disclosure, the processor may be configured to use the charging station use history information to preferentially recommend a charging station most frequently used by the target vehicle among charging stations near the destination.

[0023] In an exemplary embodiment of the present disclosure, a communication device is configured to collect charging station use history information from a vehicle using the charging station.

[0024] An exemplary embodiment of the present disclosure provides an electric vehicle charging station recommendation method, which includes the steps of collecting vehicle driving information from a vehicle, determining an average stay time of the vehicle at each location by using the vehicle driving information collected from the vehicle, determining a charging time taken for the target vehicle of the recommended charging station to reach a destination and charge to a target charge amount in response to receiving vehicle information from a target vehicle, and recommending one or more charging stations located around the destination to the target vehicle based on the determined charging time and the average stay time at each location.

[0025] In an exemplary embodiment of the present disclosure, the vehicle driving information may include destination information and ignition on / off time information.

[0026] In an exemplary embodiment of the present disclosure, the vehicle information may include destination information, SOC (stage of charge) information of the vehicle, and target charge amount information.

[0027] In an exemplary embodiment of the present disclosure, determining the average dwell time of the vehicle at each location may include using a difference between an ignition-off time of a previous trip and an ignition-on time of a next trip collected from the vehicle to determine the average dwell time at each location.

[0028] In an exemplary embodiment of the present disclosure, determining the charging time may include using a difference between the SOC of the target vehicle when it arrives at the destination and a predetermined target charge amount and a charging speed level of the charging station to determine the charging time.

[0029] In an exemplary embodiment of the present disclosure, the recommendation may include: using the determined charging time and, among the average stay times of the multiple vehicles at each location, the average stay time of the multiple vehicles at the destination of the target vehicle to recommend a charging station suitable for the charging time among one or more charging stations located around the destination.

[0030] In an exemplary embodiment of the present disclosure, the recommendation may include: recommending one of the charging stations near the destination further by using at least one of: charging station information received from the charging station, charging station preference information, charging station use history information, or a combination thereof.

[0031] In an exemplary embodiment of the present disclosure, the recommendation may include using the charging station use history information to preferentially recommend a charging station most frequently used by the target vehicle among charging stations near the destination.

[0032] In an exemplary embodiment of the present disclosure, the method may further include the step of: in response to a situation where the SOC of the vehicle when arriving at the destination is less than a predetermined reference value, determining, by the processor, that the vehicle is a target vehicle.

[0033] According to the present disclosure, user convenience can be increased by recommending a charging station suitable for a user's situation among charging stations near a destination based on the average time the vehicle stays at each point of interest (POI) of surrounding vehicles and vehicle information of a target vehicle for charging station recommendation.

[0034] According to the present disclosure, it is also possible to collect vehicle driving information (eg, destination information, ignition on / off information, etc.) from the vehicle, determine the average stay time of the vehicle at each POI, and store and manage them.

[0035] Furthermore, various effects directly or indirectly recognizable by the present disclosure can be provided. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 A block diagram illustrating a configuration of an example charging station recommendation device for an electric vehicle is shown.

[0037] Figure 2 A detailed configuration of an example user processor of a charging station recommendation device for an electric vehicle is shown.

[0038] Figure 3 A data flow diagram describing an example charging station recommendation process for an electric vehicle is shown.

[0039] Figure 4 A flow chart is shown for describing an example charging station recommendation method for an electric vehicle.

[0040] Figure 5 An example computing system is shown. DETAILED DESCRIPTION

[0041] Hereinafter, some exemplary embodiments of the present disclosure will be described in detail with reference to the exemplary drawings. It should be noted that when adding reference numerals to the constituent elements of each drawing, the same constituent elements include the same reference numerals as much as possible even if they are indicated on different drawings. When describing the exemplary embodiments of the present disclosure, when it is determined that the detailed description of the well-known configuration or function associated with the exemplary embodiments of the present disclosure may obscure the main points of the present disclosure, the description will be omitted.

[0042] When describing the constituent elements according to the exemplary embodiments of the present disclosure, terms such as first, second, A, B, (a) and (b) can be used. These terms are only used to distinguish constituent elements from other constituent elements, and the nature, order or sequence of the constituent elements are not limited by these terms. In addition, unless otherwise defined, all terms (including technical scientific terms) used herein have the same meaning as the meaning commonly understood by technicians (technical personnel) in the technical field to which the exemplary embodiments of the present disclosure belong. The terms defined in the commonly used dictionary should be interpreted as having a meaning that matches the meaning in the context of the relevant technology, and unless clearly defined in this specification, it should not be interpreted as having an idealized or overly formal meaning.

[0043] In the following, reference will be made to Figures 1 to 5 Various exemplary embodiments of the present disclosure are described in detail.

[0044] Figure 1 A block diagram illustrating a configuration of an example charging station recommendation device for an electric vehicle is shown.

[0045] The electric vehicle of the present disclosure may include an environmentally friendly vehicle, i.e., an electric vehicle (EV), a hybrid electric vehicle (HEV), a plug-in hybrid electric vehicle (PHEV), and a fuel cell electric vehicle (FCEV) that use a battery power source to drive the wheels. In the following, the vehicle refers to an electric vehicle. The core control device of the battery management system (BMS) may be installed inside such an electric vehicle. The BMS may be configured to manage mileage prediction, full charging, overcharging prevention, and balanced charging algorithms between batteries, and may perform a battery replacement notification function through fault management of battery cells or modules and prediction of battery life.

[0046] The electric vehicle charging station recommendation device 100 disclosed in the present invention is Figure 1The example is shown as a server or system implemented as a separate system from the vehicle, but the present disclosure is not limited to this, and it can be implemented inside the vehicle or separately.

[0047] The charging station recommendation device 100 may be configured to use the vehicle driving information collected from the vehicles 201, 202, and 203 to determine the average stay time of the vehicles 201, 202, and 203 at each location, and in response to receiving the vehicle driving information collected from the target vehicle ( Figure 2 In the case where vehicle information for recommending an electric vehicle is received in 204), the charging station recommendation device can be configured to recommend one or more charging stations around the destination to the target vehicle based on the time it takes for the target vehicle to arrive at the destination and charge to the target charge amount and the average stay time at each location.

[0048] In this example, the location may include a destination and a point of interest (POI). In a general sense, a POI (point of interest) refers to a specific location in the real world or on a map or drawing that a specific person is interested in. In the present disclosure, the POI may include location information of buildings around the road as destination information so that a vehicle user can easily find the target point.

[0049] refer to Figure 1 , the charging station recommendation device 100 may include a communication device 110, a storage device 120, an interface device 130, and a processor 140. According to an exemplary embodiment of the present disclosure, the charging station recommendation device 100 may be implemented as a single unit by coupling components to each other, and some components may be omitted.

[0050] As an exemplary embodiment of the present disclosure, the communication device 110 is a hardware device implemented using various electronic circuits, connects wirelessly or by wire to send and receive signals, and can communicate with external vehicles 201 , 202 , and 203 and the charging station 300 .

[0051] In addition, the communication device 110 may include a mobile communication module, a wireless Internet module, a short-range communication module, and the like.

[0052] The mobile communication module may be configured to communicate with external vehicles 201, 202, and 203 and the charging station 300 through a mobile communication network established according to a technical standard or communication method for mobile communication (e.g., Global System for Mobile Communications (GSM), Code Division Multiple Access (CDMA), Code Division Multiple Access 2000 (CDMA 2000), Enhanced Voice Data Optimization or Enhanced Voice Data Only (EV-DO), Wideband CDMA (WCDMA), High Speed ​​Downlink Packet Access (HSDPA), High Speed ​​Uplink Packet Access (HSUPA), Long Term Evolution (LTE), Long Term Evolution-Advanced (LTE-A), 4th Generation Mobile Communications (4G), 5th Generation Mobile Communications (5G).

[0053] The wireless Internet module is a module for wireless Internet access and can communicate with external vehicles 201, 202 and 203 and the charging station 300 through wireless LAN (WLAN), wireless fidelity (Wi-Fi), Wi-Fi Direct, Digital Living Network Alliance (DLNA), wireless broadband (WiBro), world interoperability for microwave access (WiMAX), high-speed downlink packet access (HSDPA), high-speed uplink packet access (HSUPA), long-term evolution (LTE), advanced long-term evolution (LTE-A), etc.

[0054] The short-range communication module can be used by using Bluetooth TM , radio frequency identification (RFID), infrared data association (IrDA), ultra-wideband (UWB), ZigBee, near field communication (NFC), wireless universal serial bus (USB) technology or any combination thereof to support short-range communication.

[0055] As an exemplary embodiment of the present disclosure, the communication device 110 may perform V2X communication. V2X communication may include communication between vehicles and all entities, such as V2V (vehicle-to-vehicle) communication referring to communication between vehicles, V2I (vehicle-to-infrastructure) communication referring to communication between vehicles and eNBs or roadside units (RSUs), V2P (vehicle-to-pedestrian) communication referring to communication between a user equipment (UE) held by a vehicle and an individual (pedestrian, cyclist, vehicle driver or passenger), and V2N (vehicle-to-network) communication.

[0056] The storage device 120 may store data and / or algorithms required for the operation of the processor 140 .

[0057] As an exemplary embodiment of the present disclosure, the storage device 120 may store vehicle driving information collected from vehicles 201, 202, and 203 (e.g., ignition on / off information, destination information, charging station usage history information), and vehicle information of recommended charging stations received from the target vehicle (destination information, SOC information, target charge amount, charging station preference information, charging station history information, etc.).

[0058] The storage device 120 may include at least one type of storage medium among memory types, such as flash memory, hard disk, micro memory, card (e.g., secure digital (SD) card or extreme digital (XD) card), random access memory (RAM), static RAM (SRAM), read-only memory (ROM), programmable ROM (PROM), electrically erasable PROM (EEPROM), magnetic memory (MRAM), magnetic disk, and optical disk.

[0059] The interface device 130 may include an input device for receiving a control command from a user and an output device for outputting an operation state of the charging station recommendation device 100 and its results. Herein, the input device may include a key, and may include a mouse, a joystick, a jog shuttle, a stylus pen, etc. In addition, the input device may include a soft key implemented on a display.

[0060] The output device may include a display, and may also include a voice output device such as a speaker. In this example, in response to providing a touch sensor formed by a touch film, a touch sheet, or a touch pad on the display, the display may be operated as a touch screen, and may be implemented in a form in which the input device and the output device are integrated. In the present disclosure, the output device may output vehicle driving information (e.g., destination, etc.), vehicle information (e.g., SOC, etc.), etc.

[0061] In this example, the display may include at least one of a liquid crystal display (LCD), a thin film transistor liquid crystal display (TFT LCD), an organic light emitting diode display (OLED display), a flexible display, a field emission display (FED), and a 3D display.

[0062] The processor 140 may be electrically connected to the communication device 110, the memory 120, the interface device 130, etc., may electrically control each component, and may be a circuit that executes software commands, thereby performing various data processing and calculations described below.

[0063] The processor 140 may be configured to process signals transmitted between each component of the charging station recommendation device 100 and perform overall control so that each component can perform its function normally. The processor 140 may be implemented in the form of hardware, software, or a combination of hardware and software. For example, the processor 140 may be implemented as a microprocessor, but the present disclosure is not limited thereto.

[0064] Processor 140 may be configured to use the vehicle driving information collected from vehicles 201, 202, and 203 to determine an average dwell time of vehicles 201, 202, and 203 at each location, and in response to receiving a vehicle driving information from a target vehicle ( Figure 2 In the case where vehicle information for recommending an electric vehicle is received in 204), the processor can be configured to recommend charging stations around the destination to the target vehicle based on the time it takes for the target vehicle to arrive at the destination and charge to the target charge amount and the average stay time at each location.

[0065] In this example, the vehicle driving information may include destination information, ignition on / off time information, charging station usage history information, etc. In addition, the vehicle information may include destination information, vehicle SOC (state of charge) information, target charge amount information, charging station usage history information, charging station preference information, etc.

[0066] Processor 140 may be configured to determine that the vehicle is a target vehicle for a recommended charging station in response to a situation where the SOC (state of charge) of the vehicle when it arrives at the destination is equal to or less than a predetermined reference value, and may be configured to determine that the vehicle is not a target vehicle for a recommended charging station in response to a situation where the SOC (state of charge) of the vehicle when it arrives at the destination is greater than a predetermined reference value.

[0067] Processor 140 may be configured to determine the charging time by using the SOC of the target vehicle when it arrives at its destination and the difference between a predetermined target charge amount and the charging speed level of the charging station (eg, ultra-fast 200kW, fast 100kW, etc.).

[0068] The processor 140 may be configured to recommend a charging station suitable for the charging time among charging stations near the destination by using the determined charging time and the average stay time of multiple vehicles at each location (average stay time at each POI) of multiple vehicles at the destination of the target vehicle.

[0069] The processor 140 may be configured to recommend one of the charging stations near the destination by using at least one of the following: an average stay time of the vehicle at each location, a charging time required to charge the target vehicle to a target charge amount, charging station information received from the charging station, charging station preference information, charging station usage history information, or a combination thereof.

[0070] The processor 140 may determine the average dwell time at each location by using the difference between the ignition-off time of the previous trip and the ignition-on time of the next trip collected from the vehicle.

[0071] The processor 140 may be configured to preferentially recommend a charging station most frequently used by the target vehicle among charging stations near the destination by using the charging station usage history information.

[0072] Figure 2 A detailed configuration of an example user processor of a charging station recommendation device for an electric vehicle is shown.

[0073] refer to Figure 2 The processor 140 of the charging station recommendation device 100 may include a data collector 141 , a data processor 142 , a data analyzer 143 , a data request processor 144 , and a real-time charging station information manager 145 .

[0074] The data collector 141 may be configured to collect vehicle driving information (e.g., destination information, ignition on / off information, etc.) from the vehicles 201, 202, and 203. In addition, the data collector 141 may be configured to collect charging history information from the vehicles 201, 202, and 203. In this example, the vehicles 201, 202, and 203 may include all surrounding electric vehicles.

[0075] The data processor 142 may be configured to process the vehicle driving information collected by the data collector 141. That is, the data processor 142 may be configured to determine, store, and manage the average time that the vehicle stays at each POI by using the ignition on / off information and the destination information in the vehicle driving information. The average time that the vehicles 201, 202, and 203 stay at each location (i.e., POI) may be determined and stored.

[0076] The data analyzer 143 may be configured to determine a recommended charging station among nearby charging stations where charging is possible during the vehicle's stay by using the average time the vehicle stays at each POI, the vehicle's current SOC, target charge amount information, and nearby charging station information.

[0077] The data request processor 144 may be configured to receive vehicle information (e.g., destination information, current SOC of the vehicle, target charge amount information) from the vehicle 204 that is the target vehicle for the recommended charging station, and transmit it to the data analyzer 143. Therefore, the data analyzer 143 may be configured to determine a recommended charging station among nearby charging stations where charging can be performed during the vehicle's stay by using the average time the vehicle stays at each POI, the current SOC of the vehicle, the target charge amount information, and nearby charging station information, etc., to transmit the determined recommended charging station to the data request processor 144.

[0078] Therefore, data request processor 144 may be configured to transmit the determined recommended charging station to vehicle 204 requesting the charging station recommendation.

[0079] The real-time charging station information manager 145 may be configured to receive and manage the charging station information in real time, and provide the real-time charging station information to the data analyzer 143. In this example, the real-time charging station information may include information such as whether there is a charger (charging pile) capable of charging at the charging station, the type of charger, and the charging speed.

[0080] Figure 2 The data collector 141, the data request processor 144 and the real-time charging station information manager 145 may have Figure 1 The configuration of the communication device 110 is the same configuration.

[0081] Figure 3A data flow diagram describing an example charging station recommendation process for an electric vehicle is shown.

[0082] refer to Figure 3 , the data collector 141 may be configured to collect vehicle driving information, such as destination information, ignition on / off time information, and charging station usage history, from the vehicles 201 , 202 , and 203 .

[0083] The data processor 142 may be configured to determine and store an average stay time at each POI by receiving the destination information and the ignition on / off time information from the data collector 141 .

[0084] Equation 1: Dwell time = next trip ignition on time - previous trip ignition off time

[0085] The next trip ignition-on time may indicate a time when the ignition was on during a next drive, and the last trip ignition-off time may indicate a time when the ignition was off during a last drive.

[0086] The dwell time may indicate the time from when the ignition was off during the last drive to when the ignition was on during the next drive. Equation 1 may be determined for each POI, and further, the data processor 142 may be configured to determine an average dwell time for each POI, which is an average of the dwell times for each POI.

[0087] That is, an average time of the stay time at the POI of vehicles 201, 202, and 203 may be determined. For example, if vehicle 201 stays at restaurant A for 50 minutes, vehicle 202 stays at restaurant A for 40 minutes, and vehicle 203 stays at restaurant A for 30 minutes, the average stay time at restaurant A is 40 minutes.

[0088] The data analyzer 143 may be configured to receive the destination information, ignition on / off time information, charging station use history information, etc. collected by the data collector 141 .

[0089] The data analyzer 143 may be configured to receive real-time charging station status information from the charging station information manager 145 .

[0090] The data analyzer 143 may be configured to receive average dwell time information of each POI from the data processor 142 .

[0091] The data analyzer 143 may be configured to receive vehicle information (destination information, vehicle SOC information, target charge amount, charging station preference information, charging station usage history information, etc.) of the target vehicle 204 from the data request processor 144 to recommend a charging station. In this example, the vehicle SOC information may include SOC information when the target vehicle 204 arrives at the destination. The target charge amount may refer to a charge amount set for driving the target vehicle 204.

[0092] The data analyzer 143 may be configured to determine a recommended charging station among surrounding charging stations by using charging station status information, average stay time at each POI, SOC information upon arrival, target charge amount, etc., and transmit the recommended charging station information to the data request processor 144 .

[0093] The data analyzer 143 may be configured to determine the charging time required to reach the target charge amount by using the SOC information and the target charge amount when the target vehicle 204 arrives at the destination. The data analyzer 143 may be configured to consider the charging time and the average stay time at each POI to recommend a charging station. For example, when the average stay time at restaurant A is 30 minutes, the SOC of the vehicle 204 when it arrives at restaurant A is 20%, and the determined target charge amount is 80%, it can be charged 60% to reach the target charge amount (80%). In the case where it takes 30 minutes to perform a fast charge of 60% of the SOC, the data analyzer 143 may recommend a charging station capable of fast charging among the charging stations around restaurant A. However, in the case where it takes longer than the average stay time at restaurant A to perform a fast charge of 60% of the SOC, a fine may be imposed. That is, in the case where the time spent performing a fast charge of 60% of the SOC is 30 minutes, the data analyzer 143 may recommend a charging station capable of fast charging among the charging stations around restaurant A. However, for example, in the case where a penalty is imposed if more than 1 hour after the completion of charging, the case where the average stay time at restaurant A is longer than one hour by more than the time required to perform the above fast charging of 60% of the SOC may be excluded.

[0094] For example, in the case where the average dwell time at restaurant A is 100 minutes and the time required to perform a fast charge of 60% of the above SOC is 30 minutes, even after charging is completed, the target vehicle 204 still needs to park at the charging location for more than one hour, which may be fined, while in this example, a charging station that takes longer to charge is recommended, so the parking time after charging is completed is less than one hour, thereby avoiding the fine. For example, a charging station that takes longer to charge may have a slower charging speed.

[0095] The data analyzer 143 may be configured to select a charging station by determining the type of charger at the charging station, whether there is a charger capable of charging, and whether it is fast charging or slow charging. That is, the data analyzer 143 may be configured to select a charging station that matches the charger type of the target vehicle 204, and to select a charging station by determining the charging speed according to the charging time. For example, in the case where the target vehicle 204 stays at the POI for 30 minutes, the data analyzer 143 may be configured to select a charging station that can be charged slowly in response to the situation where the time taken to slowly charge the target vehicle to the target charge amount is 30 minutes and the time taken to quickly charge the target vehicle to the target charge amount is 10 minutes.

[0096] In addition, the data analyzer 143 may be configured to use the charging station usage history information of the target vehicle 204 to determine a preferred charging station and take this into account when selecting a charging station. In this example, the charging station usage history information may be obtained by transmitting the charging history information to the data collector 141 after the target vehicle 204 is fully charged each time the target vehicle 204 is charged. In addition, in response to the target vehicle 204 entering the destination, the charging station usage history information may be transmitted to the data request processor 144, and the charging station preference information may be directly input by the user and transmitted to the data request processor 144. For example, in the case where the user of the target vehicle 204 uses charging station A 10 times and uses charging station B 5 times, the data analyzer 143 may be configured to preferentially recommend charging station A, which is used more frequently.

[0097] Therefore, the data request processor 144 may be configured to transmit the recommended charging station information to the target vehicle 204 to recommend the charging station.

[0098] In the following, reference will be made to Figure 4 A charging station recommendation method for an electric vehicle according to an exemplary embodiment of the present disclosure is described. Figure 4 A flow chart is shown for describing an example charging station recommendation method for an electric vehicle.

[0099] In the following, it is assumed Figure 1 The charging station recommended equipment 100 execution Figure 4 In addition, Figure 4 In the description of , the operations described as being performed by the device may be understood as being controlled by the processor 140 of the charging station recommendation device 100. In the following exemplary embodiments, the operations of steps S101 to S108 may be performed sequentially, but not necessarily sequentially. For example, the order of each operation may be changed, and at least two operations may be performed in parallel.

[0100] refer to Figure 4, the charging station recommendation device 100 may be configured to collect vehicle driving information from the vehicles 201, 202, and 203, and determine the average stay time of each POI, and store it (S101). In this example, the charging station recommendation device 100 may be configured to collect vehicle driving information at predetermined intervals and determine the average stay time of each POI, and may be configured to collect vehicle driving information every time the vehicles 201, 202, and 203 arrive at a POI to determine the average stay time of each POI.

[0101] In this example, the charging station recommendation device 100 may be configured to collect destination information and ignition on / off time from the vehicle, and determine and manage the time the user stays at the destination. That is, the charging station recommendation device 100 may be configured to use the difference between the ignition off time and the ignition on time to determine the time the target vehicle 204 stays at the location (destination).

[0102] In response to the user setting a destination, the target vehicle 204 may be configured to transmit destination information, vehicle SOC information (current SOC, SOC when the vehicle arrives at the destination, etc.), and target charge amount information to the charging station recommendation device 100 ( S102 ).

[0103] The charging station recommending device 100 may be configured to determine whether the SOC of the target vehicle 204 when arriving at the destination is less than or equal to a predetermined reference value (specific level) ( S103 ).

[0104] In response to the SOC of the target vehicle 204 being greater than a predetermined reference value when arriving at the destination, the charging station recommendation device 100 may be configured to determine that the target vehicle 204 may not require charging and does not meet the service condition, and terminate the operation ( S104 ).

[0105] On the other hand, in response to the situation that the SOC of the target vehicle 204 when it arrives at the destination is less than a predetermined reference value, the charging station recommendation device 100 may be configured to determine that the vehicle needs to be charged, determine the difference between the SOC of the target vehicle 204 when it arrives at the destination and the target charge amount, and determine the charging time for each charging speed based on the difference between the SOC of the vehicle when it arrives at the destination and the target charge amount and the charging speed level of the charging station (e.g., ultra-fast 200kW, fast 100kW, etc.) (S105). For example, in the case where the SOC of the vehicle when it arrives at the destination is 40% and the target charge amount is 80%, the difference between them is 40%. Therefore, a 40% charge is required to reach the target charge amount, and in response to slow charging, the charging time may take 3 hours, while in response to fast charging, the charging time may take 20 minutes.

[0106] Therefore, the charging station recommendation device 100 may be configured to use the charging time information of each charging speed to determine the charging speed to be provided as a recommended charging station (S106). That is, the charging station recommendation device 100 may be configured to determine whether the charging speed is slow or fast based on the difference between the SOC and the target charge amount when the target vehicle 204 arrives at the destination.

[0107] The charging station recommendation device 100 may be configured to select a charging station capable of charging at the determined charging rate from among charging stations located around the POI ( S107 ).

[0108] Therefore, the charging station recommending device 100 may be configured to notify the vehicle of the selected charging station as a recommended charging station ( S108 ).

[0109] For example, when the user of the vehicle 204 sets restaurant A as the destination, and the SOC upon arrival at restaurant A is 10% and the target charge amount is 80%, the charging station recommendation device 100 may be configured to recommend a charging station that is located near restaurant A (destination) and that can quickly charge the target vehicle 204 in response to the fact that fast charging takes 30 minutes to reach the target charge amount and the average time other vehicles stay at restaurant A is 40 minutes. Therefore, the target vehicle 204 can perform route guidance by setting the recommended charging station as the destination.

[0110] Therefore, the charging station recommendation device 100 of the present disclosure may be configured to use the driving information of the vehicle to determine and store the average stay time of each POI. In this example, the charging station recommendation device 100 may be configured to collect the driving information of the vehicle at predetermined intervals and determine the average stay time of each POI at each predetermined interval. In addition, the charging station recommendation device 100 may be configured to determine and store the average stay time of the POI whenever the vehicle stops at the POI.

[0111] Thereafter, in response to receiving vehicle information (destination information, vehicle SOC information, target charge amount) from a specific vehicle, the charging station recommendation device 100 may be configured to recommend an optimal charging station suitable for the user's situation by using the pre-stored average stay time for each POI and the vehicle information (destination information, vehicle SOC information, target charge amount) received from the vehicle recommended for the charging station to recommend a charging station to the specific vehicle.

[0112] Figure 5 An example computing system is shown.

[0113] refer to Figure 5The computing system 1000 includes at least one processor 1100 , a memory 1300 , a user interface input device 1400 , a user interface output device 1500 , a storage device 1600 , and a network interface 1700 connected via a bus 1200 .

[0114] The processor 1100 may be a central processing unit (CPU) or a semiconductor device configured to execute processing on commands stored in the memory 1300 and / or the storage device 1600. The memory 1300 and the storage device 1600 may include various types of volatile or non-volatile storage media. For example, the memory 1300 may include a read-only memory (ROM) 1310 and a random access memory (RAM) 1320.

[0115] Therefore, the steps of the method or algorithm described in the exemplary embodiments included herein may be directly implemented by hardware, software modules, or a combination of both executed by the processor 1100. The software module may reside in a storage medium (i.e., the memory 1300 and / or the storage device 1600) such as RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, hard disk, removable disk, and CD-ROM.

[0116] An exemplary storage medium is coupled to the processor 1100, which can read information from the storage medium and write information to the storage medium. Alternatively, the storage medium can be integrated with the processor 1100. The processor and the storage medium can reside in an application specific integrated circuit (ASIC). The ASIC can reside in a user terminal. Alternatively, the processor and the storage medium can reside in a user terminal as separate components.

[0117] The above description merely illustrates the technical idea of ​​the present disclosure, and those skilled in the art to which the present disclosure belongs may make various modifications and changes without departing from the basic features of the present disclosure.

[0118] Therefore, the exemplary embodiments disclosed in the present disclosure are not intended to limit the technical ideas of the present disclosure, but to explain them, and the scope of the technical ideas of the present disclosure is not limited by these exemplary embodiments. The protection scope of the present disclosure should be interpreted by the following claims, and all technical ideas within the equivalent scope should be interpreted as included in the scope of the present disclosure.

Claims

1. A charging station recommendation device for an electric vehicle, the device comprising: a communication device configured to communicate with a plurality of vehicles and a plurality of charging stations; as well as A processor configured to determine an average stay time of each of the multiple vehicles at each location by using vehicle driving information collected from the multiple vehicles, and in response to receiving vehicle information from a target vehicle to recommend a charging station, the processor is configured to recommend one or more charging stations located around the destination to the target vehicle based on the time taken for the target vehicle to reach the destination and charge to a target charge amount and the average stay time of the multiple vehicles at each location. 2 . The charging station recommendation device according to claim 1 , wherein the vehicle driving information includes destination information and ignition on / off time information. 3 . The charging station recommendation device according to claim 1 , wherein the vehicle information includes destination information, state of charge (SOC) information of the vehicle, and target charge amount information. 4 . The charging station recommendation device according to claim 3 , wherein the vehicle information further includes charging station usage history information of the vehicle, or charging station preference information of the vehicle user. 5 . The charging station recommendation device according to claim 1 , wherein the processor is further configured to: in response to a situation where a state of charge of the vehicle when arriving at the destination is less than a predetermined reference value, determine that the vehicle is a target vehicle. 6 . The charging station recommendation device according to claim 1 , wherein the processor is further configured to determine a charging time using a difference between a charging state of the target vehicle when it arrives at the destination and a predetermined target charging amount and a charging speed level of the charging station.

7. The charging station recommendation device according to claim 6, wherein the processor is further configured to: The determined charging time and, among the average staying time of each of the plurality of vehicles at each location, the average staying time of the plurality of vehicles at the destination of the target vehicle are used to recommend a charging station suitable for the charging time among charging stations near the destination.

8. The charging station recommendation device according to claim 1, wherein the processor is configured to: recommend one of a plurality of charging stations located around the destination further by using at least one of: charging station information received from the plurality of charging stations, charging station preference information, charging station usage history information, or a combination thereof. 9 . The charging station recommendation device according to claim 1 , wherein the processor is further configured to determine an average stay time at each location using a difference between an ignition-off time of a previous trip and an ignition-on time of a next trip collected from the plurality of vehicles.

10. The charging station recommendation device according to claim 4, wherein the processor is further configured to: The charging station use history information is used to preferentially recommend a charging station most frequently used by the target vehicle among charging stations located around the destination. 11 . The charging station recommendation device according to claim 1 , wherein the communication device is configured to collect charging station use history information from a plurality of vehicles using the charging station.

12. A method for recommending a charging station for an electric vehicle, the method comprising the following steps: Collecting vehicle driving information from a plurality of vehicles; determining an average dwell time of the plurality of vehicles at each location by using the vehicle driving information collected from the plurality of vehicles; determining, in response to vehicle information received from the target vehicle, a charging time taken for the target vehicle at the recommended charging station to reach a destination and be charged to a target charge amount; as well as Based on the determined charging time and the average dwell time at each location, one or more charging stations located around the destination are recommended to the target vehicle. 13 . The charging station recommendation method according to claim 12 , wherein the vehicle driving information includes destination information and ignition on / off time information. 14 . The charging station recommendation method according to claim 12 , wherein the vehicle information includes destination information, charging state information of the vehicle, and target charging amount information.

15. The charging station recommendation method according to claim 12, wherein determining the average dwell time of the plurality of vehicles at each location comprises: The average dwell time at each location is determined using a difference between an ignition-off time of a previous trip and an ignition-on time of a next trip collected from the plurality of vehicles.

16. The charging station recommendation method according to claim 12, wherein determining the charging time comprises: A difference between the state of charge of the target vehicle when it arrives at the destination and a predetermined target charge amount and a charging speed level of the charging station are used to determine a charging time.

17. The charging station recommendation method according to claim 16, wherein the recommendation comprises: The determined charging time and, among the average stay times of the plurality of vehicles at each location, the average stay time of the plurality of vehicles at the destination of the target vehicle are used to recommend a charging station suitable for the charging time among one or more charging stations located around the destination.

18. The charging station recommendation method according to claim 12, wherein the recommendation comprises: One of the charging stations located around the destination is also recommended by using at least one of the following: charging station information received from the one or more charging stations, charging station preference information, charging station use history information, or a combination thereof.

19. The charging station recommendation method according to claim 18, wherein the recommendation further comprises: The charging station use history information is used to preferentially recommend a charging station most frequently used by the target vehicle among the one or more charging stations located around the destination.

20. The charging station recommendation method according to claim 12, further comprising the following steps: In response to a situation where the state of charge of the vehicle when arriving at the destination is less than a predetermined reference value, the vehicle is determined to be a target vehicle.

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