Electric vehicle battery charging control system and method linked to driving video recording device

Abstract

The present invention discloses an electric vehicle battery charging control system and method linked with a driving video recording device. The charging control system of the present invention monitors the charge amount and temperature of an electric vehicle battery in real time. When the charge amount of the battery falls below a charging threshold, it receives location information of the electric vehicle and charging facilities from an AVN device. If a charging facility is located within a predefined distance around the electric vehicle, it automatically performs a weak stage (Stage 1) of preconditioning and receives video captured by a camera from the driving video recording device. Subsequently, the charging control system of the present invention applies the camera video received from the driving video recording device to an artificial intelligence model to recognize the area where the electric vehicle is located. If it is recognized that the electric vehicle is located in a typical area where a charging facility exists, it automatically performs an intermediate stage (Stage 2) of preconditioning. Due to this configuration, the present invention minimizes user intervention, allowing for automatic preconditioning for battery charging even without the user separately inputting a destination or waypoint.

Description

Technology Field

[0001] The present invention relates to an electric vehicle battery charging control system and method, and more specifically, to an electric vehicle battery charging control system and method linked with a driving video recording device. Background Technology

[0002] The performance and efficiency of electric vehicles are primarily determined by battery condition and charging technology. In particular, reducing battery charging time and increasing efficiency are considered key factors in improving the user experience of electric vehicles.

[0003] There is a significant difference in charging time between pre-adjusting the battery temperature before charging and charging without doing so. The optimal battery temperature for charging electric vehicle batteries is known to be between 25 and 30 degrees Celsius, and if an electric vehicle battery is charged at an uncontrolled temperature, internal chemical stress increases, which can shorten its lifespan.

[0004] Specifically, when a battery is charged at low temperatures (below 0 degrees), internal chemical reactions slow down, reducing the charging speed, and there is a risk of battery damage during rapid charging. When a battery is charged at high temperatures (above 45 degrees), increased internal resistance intensifies heat generation, raising concerns that the battery's lifespan may be shortened.

[0005] Currently, most electric vehicles monitor battery status via vehicle sensors and provide guidance on charging station locations using GPS. Additionally, pre-conditioning technology, which adjusts the battery's temperature and condition, is partially commercialized. However, existing technologies have the disadvantage of being inconvenient, requiring users to manually select a charging station as a destination or waypoint via navigation or operate buttons to prepare, and the conditions under which battery pre-conditioning can be performed are limited.

[0006] In particular, existing technology was designed to utilize GPS and driving data to recognize charging stations at destinations or waypoints based on user settings and perform preconditioning. This approach has limitations in that it requires the user to set the route and fails to account for cases where charging is performed at stations located outside the driving route. The problem to be solved

[0007] The problem that the present invention aims to solve is to provide an electric vehicle battery charging control system and method linked with a driving video recording device that can perform preconditioning for battery charging by recognizing the vehicle's location information, the location information of surrounding charging facilities, and surrounding electric vehicle charging stations via video, even when the user has not set the destination to a charging facility in the navigation system. means of solving the problem

[0008] An electric vehicle battery charging control system according to a preferred embodiment of the present invention for solving the above-mentioned problem comprises: a sensor unit for detecting the charge amount and temperature of a battery; a temperature control means for controlling the temperature of a battery; and a charging control unit that receives the battery charge amount and temperature from the sensor unit and controls the temperature control means to perform preconditioning. The charging control unit measures the location of the electric vehicle and surrounding charging facilities when the battery charge amount is less than a charging reference value and the battery temperature deviates from an optimal temperature range, and if the charging facility exists within a first distance defined based on the electric vehicle, it controls the temperature control means to perform a first stage preconditioning. When the distance between the electric vehicle and the charging facility is within a second distance shorter than the first distance, it receives a camera image and analyzes the received image. If it is determined that the electric vehicle is within an area where a charging facility is expected to be located, it controls the temperature control means to perform a second stage preconditioning to get closer to the optimal charging temperature than the first stage.

[0009] In addition, the charging control unit may, when it is determined that the electric vehicle is within an area where a charging facility is expected to be located, check whether a charger is recognized in the image, perform the second stage preconditioning while the charger is not recognized, and when the charger is recognized in the image, check whether the charger is immediately available for use, and if the charger is available, perform the third stage preconditioning to reach an optimal temperature range.

[0010] In addition, the electric vehicle battery charging system further includes a communication module that performs CAN communication, and the charging control unit performs CAN communication with an AVN device through the communication module to request location information of the electric vehicle and surrounding charging facilities from the AVN device and receive location information of the electric vehicle and charging facilities.

[0011] In addition, the electric vehicle battery charging system further includes a communication module that performs CAN communication, and the charging control unit can perform CAN communication with a driving video recording device through the communication module and request and receive the camera footage captured by the driving video recording device.

[0012] In addition, the charging control unit applies a camera-captured image to a pre-trained artificial intelligence model to determine whether the electric vehicle is within an area where a charging facility is expected to be located, and the artificial intelligence model can be trained using images of charging facilities and images of parking lots of commercial facilities, apartment parking lots, and roadside electric vehicle charging stations where charging facilities are installed.

[0013] In addition, the charging control unit applies a camera-captured image to a pre-trained artificial intelligence model to determine whether the charger is recognized and whether the charger is available for use, and the artificial intelligence model can be trained using images of multiple charger types, charger installation appearances, and charger usage appearances.

[0014] Meanwhile, an electric vehicle battery charging control method performed in an electric vehicle battery charging control system for solving the above-mentioned problem comprises: (a) a step of monitoring the state of the battery to monitor the charge amount and temperature of the battery; (b) a step of measuring the location of the electric vehicle and surrounding charging facilities when the battery charge amount is less than a charging reference value and the battery temperature deviates from the optimal temperature range; (c) a step of performing a first stage preconditioning by controlling a temperature control means when a charging facility exists within a first distance defined based on the electric vehicle; (d) a step of starting to receive camera footage when the distance to the charging facility is within a second distance shorter than the first distance, and analyzing the input footage to determine whether the electric vehicle is within an area where a charging facility is expected to be located; and (e) a step of performing a second stage preconditioning to get closer to the optimal charging temperature than the first stage when it is determined that the electric vehicle is within an area where a charging facility is expected to be located.

[0015] In addition, in step (e) above, checking whether a charger is recognized in the image and performing the second stage preconditioning while the charger is not recognized, and the electric vehicle battery charging control method may further include the step of (f) checking whether the charger is immediately available when the charger is recognized in the image and performing the third stage preconditioning to reach an optimal temperature range if the charger is available.

[0016] In addition, in step (b) above, the electric vehicle battery charging system can perform CAN communication with the AVN device to request location information of the electric vehicle and surrounding charging facilities from the AVN device and receive location information of the electric vehicle and charging facilities.

[0017] In addition, in step (d) above, the electric vehicle battery charging system can perform CAN communication with the driving video recording device and request and receive the camera footage captured by the driving video recording device.

[0018] In addition, in step (d) above, the captured camera image is applied to a pre-trained artificial intelligence model to determine whether the electric vehicle is within an area where a charging facility is expected to be located, and the artificial intelligence model can be trained using images of the charging facility and images of the parking lot of a commercial facility where the charging facility is installed, an apartment parking lot, and a roadside electric vehicle charging station.

[0019] In addition, in step (e) above, the captured camera image is applied to a pre-trained artificial intelligence model to determine whether the charger is recognized and whether the charger is available for use, and the artificial intelligence model can be trained using images of multiple charger types, charger installation appearances, and charger usage appearances. Effects of the invention

[0020] The charging control system of the present invention monitors the charge amount and temperature of an electric vehicle battery in real time, and when the charge amount of the battery drops below a charging threshold, receives location information of the electric vehicle and charging facility from the AVN device, and if there is a charging facility within a predefined distance around the electric vehicle, automatically performs a weak stage (first stage) of preconditioning and receives video captured by a camera from a driving video recording device.

[0021] After that, the charging control system of the present invention applies camera images received from a driving video recording device to an artificial intelligence model to recognize the area where the electric vehicle is located, and if it is recognized that the electric vehicle is located in a typical area where charging facilities exist, it automatically performs intermediate stage (second stage) preconditioning.

[0022] Due to this configuration, the present invention minimizes user intervention and can automatically perform preconditioning for battery charging even without the user separately entering a destination or waypoint. Brief explanation of the drawing

[0023] FIG. 1 is a diagram illustrating the configuration of an electric vehicle battery charging control system linked with a driving video recording device according to a preferred embodiment of the present invention. FIGS. 2A and 2B are flowcharts illustrating an electric vehicle battery charging control method linked with a driving video recording device according to a preferred embodiment of the present invention. Specific details for implementing the invention

[0024] Hereinafter, preferred embodiments of the present invention will be described with reference to the drawings.

[0025] Hereinafter, the aforementioned objects, features, and advantages of the present invention will become more apparent from the following detailed description in conjunction with the accompanying drawings. However, as the present invention is subject to various modifications and may have various embodiments, specific embodiments are illustrated in the drawings and described in detail below.

[0026] Throughout the specification, identical reference numbers indicate identical components in principle. Additionally, components with identical functions within the scope of the same concept appearing in the drawings of each embodiment are described using the same reference numeral.

[0027] When a part of a specification is described as "including" a certain component, this means that, unless specifically stated otherwise, it does not exclude other components but may include additional components. Furthermore, terms such as "...part" or "module" as used in the specification refer to a unit that processes at least one function or operation, and this may be implemented in hardware or software, or as a combination of hardware and software.

[0028] If it is determined that a detailed description of known functions or configurations related to the present invention may unnecessarily obscure the essence of the present invention, such detailed description is omitted. Additionally, numbers used in the description of this specification (e.g., 1st, 2nd, etc.) are merely identification symbols to distinguish one component from another.

[0029] FIG. 1 is a diagram illustrating the configuration of an electric vehicle battery charging control system linked with a driving video recording device according to a preferred embodiment of the present invention.

[0030] Referring to FIG. 1, an electric vehicle battery charging control system (hereinafter abbreviated as 'charging control system') (100) linked with a driving video recording device (200) according to a preferred embodiment of the present invention basically includes a charging control unit (110), a sensor unit (130), and a temperature control means (120). In addition, the charging control system (100) further includes a camera and a GPS module for position measurement.

[0031] At this time, the camera and GPS module for position measurement may be included within the charging control system (100) of the present invention, and may also be linked with the camera (220) included in the video recording device (200) and the GPS module (320) included in the AVN device (300) to utilize the corresponding functions.

[0032] The preferred embodiment of the present invention described below is exemplarily described as a case in which a charging control system (100) includes a communication module (140) and performs CAN communication with a driving video recording device (200) to receive a video of the surroundings captured from the driving video recording device (200) and receives location information of the electric vehicle and location information of the charging facility together from an AVN device (300), but it should be noted that a camera and a GPS module, etc., may be included within the charging control system (100).

[0033] In addition, the charging control system (100) may generally include various components (not shown) for battery charging, but for convenience of explanation, only the functions of the components directly related to the core content of the present invention will be described below.

[0034] To explain the functions of each component, the sensor unit (130) of the present invention detects the state of the electric vehicle battery (400) and outputs it to the charging control unit (110). The sensor unit (130) primarily detects the charge amount and temperature of the battery (400), and can further detect the intensity of the charging current output to the battery (400) during charging.

[0035] The temperature control means (120) is implemented as a heating device or a cooling device to perform battery pre-conditioning so that the battery (400) has an optimal temperature (25 to 30 degrees) when charging the battery (400).

[0036] The heating device implementing the temperature control means (120) includes an electric (PTC) heater or a heat pump system, and the PTC (Positive Temperature Coefficient) heater heats the interior of the vehicle using electricity, and when the heater is operated, it heats the heater core to raise the battery temperature.

[0037] The heat pump heats the interior and battery with less power by utilizing the outside air and heat generated from the vehicle, and when the heater is operated, the heat pump is connected to the battery cooling circuit to directly preheat the battery (400).

[0038] In addition, the temperature control means (120) can also perform a cooling action, such as lowering the battery temperature by circulating cooling water.

[0039] The charging control unit (110) can receive a front (and rear) image captured by a camera (200) included in a driving image recording device (200) through a communication module (140), and if a camera is included internally, it can receive a front (and rear) image directly from the camera.

[0040] In a preferred embodiment of the present invention, the charging control unit (110) is connected via CAN communication with a driving video recording device (black box or built-in cam) (200) generally installed in an electric vehicle and receives images captured by a front camera (221) and a rear camera (223) included in the driving video recording device (200).

[0041] For reference, the driving video recording device (200) includes a front camera (221) installed to face the front of the electric vehicle and capturing the front of the vehicle, and a rear camera (223) installed to face the rear of the electric vehicle and capturing the rear of the vehicle, and the images captured by the front camera (221) and the rear camera (223) are stored in a memory (230) inside the video recording device (200).

[0042] Additionally, the image control unit (210) of the driving image recording device (200) stores the captured image in the memory (230), and when an image request is received from the charging control unit (110) of the charging control system (100), the image captured by the camera (200) is transmitted to the charging control system (100) through the communication module (240).

[0043] The charging control unit (110) of the charging control system (100) is connected to the AVN device (300) installed in the vehicle via CAN communication and receives current location information of the electric vehicle and location information of surrounding electric vehicle charging facilities from the AVN device (300). In a preferred embodiment of the present invention, the charging control unit (110) is implemented as a CPU (Central Processing Unit) or a similar device (e.g., MPU (Micro Processing Unit), MCU (Micro Control Unit), etc.) to control the overall functions of the charging control system (100) of the present invention and performs each step of the charging control method described below with reference to FIGS. 2a and 2b.

[0044] The charging control unit (110) continuously monitors the battery status (charge amount and temperature) input from the sensor unit (130), and when the battery charge amount is less than the charging reference value and the temperature of the battery (400) is outside the temperature reference range (25 to 30 degrees), it requests the AVN device (300) to search for electric vehicle location information and charging facility information around the electric vehicle, and receives the location information of the electric vehicle and the location information of the charging facility.

[0045] The charging control unit (110) compares the location information of the electric vehicle and the location information of the charging facility, and if the charging facility exists within a predefined first distance (e.g., 500M) based on the location information of the electric vehicle, it controls the temperature control means (120) to perform a first stage preconditioning. The first stage preconditioning performs a temperature control function to control the temperature of the battery (400) within a predefined error range based on the optimal temperature range for charging the battery (400).

[0046] For example, assuming that the optimal temperature range for charging the battery (400) is 25 to 30 degrees, the first stage preconditioning can be performed to maintain the temperature of the battery (400) within a 30% error range (17.5 to 39 degrees) of the optimal temperature reference range. Therefore, if the current temperature of the battery (400) is outside the error range (e.g., lower than 17.5 degrees or higher than 39 degrees), the temperature is adjusted so that the temperature of the battery (400) is included within the corresponding error range (so that the battery temperature is higher than 17.5 degrees and lower than 39 degrees). If the temperature of the battery (400) is already within the first stage preconditioning range, no separate preconditioning is performed.

[0047] After that, the charging control unit (110) continuously compares the location information of the electric vehicle and the location information of the charging facility, and if the distance between the electric vehicle and the charging facility becomes longer than the first distance, it determines that the user is not currently performing electric vehicle charging and stops the first stage preconditioning, and if the distance between the electric vehicle and the charging facility becomes within the second distance (e.g., 100M) which is shorter than the first distance, it determines that charging is imminent and requests camera footage from the video recording device (200) to start receiving camera footage, and analyzes the input footage to determine whether the current location of the electric vehicle is within the area where the charging facility is expected to be.

[0048] Most charging facilities are placed in typical locations such as commercial building parking lots, apartment parking lots, highway rest areas, and electric vehicle charging stations. Accordingly, the charging control unit (110) applies object recognition technology to the camera-captured image to check in real time whether it is a typical facility where a charging facility is expected to be present, and if it is a facility expected to be present, performs a second stage preconditioning.

[0049] The second stage preconditioning sets the temperature error range of the battery (400) to be closer to the optimal temperature range than the first stage preconditioning, and controls the temperature control means (120) so that the battery temperature is maintained within the temperature error range. The temperature error range of the second preconditioning can be set to 20%, and when the optimal temperature reference range is 25 to 30 degrees as in the example above, the battery temperature range is maintained at 20 to 36 degrees when the second preconditioning is performed.

[0050] Meanwhile, while the second preconditioning is being performed, the charging control unit (110) checks in real time whether a charger is recognized within the captured image. If a charger is recognized within the expected charging facility, the charging control unit (110) checks whether the charger is immediately available for use.

[0051] At this time, the charging control unit (110) may have a pre-trained artificial intelligence model installed internally to apply object recognition technology to the captured image to recognize whether the location where the electric vehicle is located is a typical area where a charging facility is expected to be, and whether the charging facility and charger are immediately available for use.

[0052] In order for the artificial intelligence model to recognize areas where charging facilities are expected to be present from images, the present invention pre-trained an artificial intelligence model (e.g., YOLO, Faster R-CNN) with images of various charging facilities, parking lots of commercial facilities where charging facilities are installed, apartment parking lots, and roadside electric vehicle charging stations.

[0053] Likewise, the present invention trains an artificial intelligence model (e.g., YOLO, Faster R-CNN) in advance using images such as various charger types, charger installations, and charger usages so that the artificial intelligence model can recognize the charger and whether the charger is available for use.

[0054] At this time, the training of the artificial intelligence model can be performed using an in-vehicle camera to which the artificial intelligence model is applied (e.g., high-performance cameras used by Tesla and BYD) or a cloud-based training process. Here, the cloud-based training process means transmitting video information acquired from the vehicle to the cloud, training in the cloud, and deploying the trained model to the vehicle.

[0055] If the charging control unit (110) determines that the charger can be used, it performs the third stage preconditioning until charging begins, and if it determines that the charger cannot be used, it stops the preconditioning.

[0056] The third stage preconditioning controls the temperature control means (120) so that the temperature of the battery (400) reaches the optimal charging temperature. In the above example, the charging control unit (110) uses the temperature control means (120) to ensure that the temperature of the battery (400) is within the range of 25 to 30 degrees.

[0057] Meanwhile, the charging control unit (110) continuously receives location information of the electric vehicle and location information of the charging facility from the AVN device (300) while performing the above process, and investigates the distance between the electric vehicle and the charging facility, and if the distance between the electric vehicle and the charging facility becomes greater than the first distance, it determines that the user will not perform charging and terminates the preconditioning process.

[0058] Additionally, the charging control unit (110) terminates the preconditioning process when charging begins.

[0059] FIGS. 2a and 2b are flowcharts illustrating an electric vehicle battery charging control method linked with a driving video recording device according to a preferred embodiment of the present invention.

[0060] Hereinafter, with reference to FIG. 2, an electric vehicle battery charging control method linked with a driving video recording device according to a preferred embodiment of the present invention (hereinafter abbreviated as 'charging control method') will be described. Since the charging control method of the present invention is performed in the charging control system (100) described with reference to FIG. 1, it should be noted that the functions performed in the charging control system (100) are performed in the charging control method as is, even without separate explicit description.

[0061] Referring further to FIGS. 2a and 2b, the function of the charging control system and the charging control method are described as follows: the sensor unit (130) measures the charge amount (SoC) and temperature of the battery (400) in real time and outputs them to the charging control unit (110), and the charging control unit (110) monitors the battery charge amount (SoC) and temperature input from the sensor unit (130). During the monitoring process, the charging control unit (110) compares the battery charge amount with a charging reference value (S201), and if the charge amount is less than the charging reference value, compares the battery temperature with an optimal temperature range (S203).

[0062] Here, the charging threshold can be set by receiving input from the user through the AVN device (300) or a user terminal (not shown), and if there is no user setting, it can be set to SoC 30%, 20%, 10%, etc. Additionally, the charging threshold can be set by the charging control unit (110) learning the user's charging pattern. For example, whenever the user performs charging, the remaining charge amount can be stored, and the average of the remaining charge amount over a recent predetermined period can be set as the charging threshold.

[0063] The optimal temperature range can be preset as the optimal charging temperature range considering the characteristics of the battery, and generally, an optimal charging temperature range of 25 to 30 degrees can be set as the optimal temperature range.

[0064] When the battery temperature deviates from the optimal temperature range, the charging control unit (110) requests and receives the current location information of the electric vehicle and the location information of the surrounding charging facilities from the AVN device (300) (S205), and checks whether there are charging facilities around the electric vehicle (S207). (At this time, the location information of the electric vehicle and the location information of the charging facilities are continuously provided from the AVN device (300) until the preconditioning process of the present invention is terminated.)

[0065] If a charging facility exists within a predefined first distance (e.g., 500M), the charging control unit (110) controls the temperature control means (120) to perform first stage preconditioning (S209). The first stage preconditioning performs a temperature control function to control the temperature of the battery (400) within a predefined range based on the optimal temperature range for battery charging. In a preferred embodiment of the present invention, the optimal temperature range is set to 25 to 30 degrees, and the first stage preconditioning temperature range is a 30% error range (17.5 to 39 degrees) of the optimal temperature range, as described above.

[0066] If, in step S207, there is no charging facility within the first distance, proceed to step S203 and repeat from the step of checking the temperature of the battery (400). At this time, if the electric vehicle is located within the first distance range of the charging facility and then moves away, it is determined that the driver has no intention of charging at the charging facility, and preconditioning is stopped (S208).

[0067] Meanwhile, while the first stage preconditioning is being performed in the S209 stage, the charging control unit (110) continuously compares the location information of the electric vehicle input from the AVN device (300) with the location information of the charging facility (S211), and while the distance between the electric vehicle and the charging facility is maintained within the first distance, the steps S207 through S209 described above are repeated, and when the distance between the electric vehicle and the charging facility is within the second distance, which is shorter than the first distance, the driving video recording device (200) requests a camera capture video and starts receiving the camera capture video (S213), and applies the capture video to a pre-trained artificial intelligence model to determine whether the electric vehicle is currently within the area where the charging facility is predicted to be located (S215).

[0068] When the charging control unit (110) determines that the electric vehicle is within an area where a charging facility is predicted to be located (S217), the charging control unit (110) checks whether a charger is recognized in the image (S219), and while the charger is not recognized, performs a second stage preconditioning to get closer to the optimal charging temperature than the first stage preconditioning, and proceeds to the S217 stage (S221). That is, if the electric vehicle is within an area where a charging facility is predicted to be located (such as an underground parking lot of a commercial facility or inside an electric vehicle charging station) but is not yet in a location where the charger can be used directly, the second stage preconditioning is performed.

[0069] If, in step S219, a charger is recognized from the captured video, the charging control unit (110) checks whether the charger is immediately available (S223). If there is no available charger because another vehicle is performing charging, the charging control unit (110) decides whether to wait in front of the charger or stop the preconditioning process according to a default value or a value entered by the user from the AVN device (300). If it is decided to wait, the process proceeds to step S223, otherwise the preconditioning process is terminated (S224).

[0070] If the charger is immediately available, the charging control unit (110) controls the temperature control means (120) to perform a third stage preconditioning to reach the optimal charging temperature range (S225).

[0071] After that, when the battery temperature reaches the optimal charging temperature range or charging begins, the preconditioning process is terminated (S227).

[0072] The electric vehicle battery charging control method linked with a driving video recording device according to the preferred embodiment of the present invention described so far can be implemented as a computer program stored in a non-transient storage medium by being implemented as computer-executable instructions.

[0073] Storage media include all types of recording devices in which data that can be read by a computer system is stored. Examples of computer-readable storage media include ROM, RAM, CD-ROM, and optical data storage devices. Additionally, computer-readable storage media are distributed across networked computer systems, allowing computer-readable code to be stored and executed in a distributed manner.

[0074] The present invention has been described above with reference to its preferred embodiments. Those skilled in the art will understand that the present invention may be embodied in modified forms without departing from the essential characteristics of the invention. Therefore, the disclosed embodiments should be considered in an illustrative rather than a restrictive sense. The scope of the invention is defined by the claims, not by the foregoing description, and all variations within the scope of the claims should be interpreted as being included in the invention. Explanation of the symbols

[0075] 100: Charging control system 110: Charging control unit 120: Temperature control means 130 : Sensor section 140: Communication module 200 : Driving video recorder 210 : Video control unit 221 : Front camera 223 : Rear camera 230 : Memory 240: Communication module 300 : AVN device 310 : AVN Control Unit 320: GPS module 400 : Battery

Claims

Claim 1 An electric vehicle battery charging control system comprising: a sensor unit for detecting the charge amount and temperature of a battery; a temperature control means for controlling the temperature of the battery; and a charging control unit that receives the battery charge amount and temperature from the sensor unit and controls the temperature control means to perform preconditioning, wherein the charging control unit measures the location of the electric vehicle and surrounding charging facilities when the battery charge amount is less than a charging reference value and the battery temperature deviates from an optimal temperature range, and if the charging facility exists within a predefined first distance relative to the electric vehicle, controls the temperature control means to perform first stage preconditioning, and if the distance between the electric vehicle and the charging facility is within a second distance shorter than the first distance, receives a captured image from a camera, analyzes the input image, and if it is determined that the electric vehicle is within an area where a charging facility is expected to be located, controls the temperature control means to perform second stage preconditioning to get closer to the optimal charging temperature than the first stage. Claim 2 An electric vehicle battery charging control system according to claim 1, wherein the charging control unit determines that the electric vehicle is within an area where a charging facility is expected to be located, checks whether a charger is recognized in an image, performs the second stage preconditioning while the charger is not recognized, and, when the charger is recognized in the image, checks whether the charger is immediately available for use, and if the charger is available, performs the third stage preconditioning to reach an optimal temperature range. Claim 3 The electric vehicle battery charging control system according to claim 1, wherein the electric vehicle battery charging system further includes a communication module that performs CAN communication, and the charging control unit performs CAN communication with an AVN device through the communication module, requests location information of the electric vehicle and surrounding charging facilities from the AVN device, and receives location information of the electric vehicle and charging facilities. Claim 4 The electric vehicle battery charging control system according to claim 1, wherein the electric vehicle battery charging system further includes a communication module that performs CAN communication, and the charging control unit performs CAN communication with a driving video recording device through the communication module and requests and receives the camera-captured video from the driving video recording device. Claim 5 An electric vehicle battery charging control system according to claim 1, wherein the charging control unit applies a camera-captured image to a pre-trained artificial intelligence model to determine whether the electric vehicle is within an area where a charging facility is expected to be located, and the artificial intelligence model is characterized by being trained using images of the charging facility and images of a commercial facility parking lot, an apartment parking lot, and a roadside electric vehicle charging station where the charging facility is installed. Claim 6 In claim 2, the charging control unit applies a camera-captured image to a pre-trained artificial intelligence model to determine whether the charger is recognized and whether the charger is available for use, and the artificial intelligence model is characterized by being trained using images of a plurality of charger types, charger installation appearances, and charger usage appearances. Claim 7 A method for controlling an electric vehicle battery charge performed in an electric vehicle battery charge control system, comprising: (a) a step of monitoring the state of a battery to monitor the charge amount and temperature of the battery; (b) a step of measuring the location of the electric vehicle and surrounding charging facilities when the battery charge amount is less than a charging reference value and the battery temperature deviates from an optimal temperature range; (c) a step of controlling a temperature control means to perform a first stage preconditioning when a charging facility exists within a first distance defined relative to the electric vehicle; (d) a step of starting to receive camera footage when the distance to the charging facility is within a second distance shorter than the first distance, and analyzing the received footage to determine whether the electric vehicle is within an area where a charging facility is expected to be located; and (e) a step of performing a second stage preconditioning to get closer to the optimal charging temperature than the first stage when it is determined that the electric vehicle is within an area where a charging facility is expected to be located. Claim 8 In claim 7, the electric vehicle battery charging control method further comprises the step of checking whether a charger is recognized in the image in step (e), and performing the second stage preconditioning while the charger is not recognized, and (f) when the charger is recognized in the image, checking whether the charger is immediately available, and if the charger is available, performing the third stage preconditioning to reach an optimal temperature range. Claim 9 A method for controlling electric vehicle battery charging according to claim 7, wherein in step (b), the electric vehicle battery charging system performs CAN communication with an AVN device to request location information of the electric vehicle and surrounding charging facilities from the AVN device and receives location information of the electric vehicle and charging facilities. Claim 10 In claim 7, the electric vehicle battery charging system performs CAN communication with a driving video recording device in step (d) and requests and receives the camera-captured video from the driving video recording device. Claim 11 A method for controlling electric vehicle battery charging according to claim 7, wherein in step (d), a camera-captured image is applied to a pre-trained artificial intelligence model to determine whether the electric vehicle is within an area where a charging facility is expected to be located, and wherein the artificial intelligence model is trained using images of the charging facility and images of the parking lot of a commercial facility where the charging facility is installed, an apartment parking lot, and a roadside electric vehicle charging station. Claim 12 In claim 8, the electric vehicle battery charging control method is characterized by applying a camera-captured image in step (e) to a pre-trained artificial intelligence model to determine whether the charger is recognized and whether the charger is available for use, wherein the artificial intelligence model is trained using images of a plurality of charger types, charger installation appearances, and charger usage appearances.

Images