Determination system, information processing device, determination method, and program

Abstract

To make it possible to further effectively detect illegal replacement of a battery from a vehicle.SOLUTION: A determination system 1 includes an information processing device 10 having a sensor 22 for measuring a physical property of an object battery 41 being a battery installed in a vehicle 40 and a control unit 11 communicatively connected with the sensor 22. The control unit 11 acquires vehicle identification information for identifying the vehicle 40, acquires first battery identification information for identifying a battery corresponding to the acquired vehicle identification information, acquires the physical property of the object battery 41 measured by the sensor 22, acquires second battery identification information for identifying a battery corresponding to the acquired physical property, determines authenticity of the object battery installed in the vehicle 40 by comparing the first battery identification information and the second battery identification information, and outputs the determination result of the authenticity of the object battery.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present disclosure relates to a determination system, an information processing device, a determination method, and a program. [Background technology]

[0002] Patent Document 1 describes determining the type of a target battery based on the inductance of the target battery. Patent Document 2 describes managing the battery characteristics of multiple batteries by linking them to the battery's identification information, and when the battery of a mobile object is replaced, comparing the battery characteristics measured in the mobile object with the battery characteristics linked to the battery's identification information. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Publication No. 2022-068657 [Patent Document 2] Japanese Patent Application Publication No. 2020-149789 Summary of the Invention [Problem to be solved by the invention]

[0004] However, there is room for improvement in effectively detecting unauthorized battery replacements, such as when a battery-powered vehicle is being rented.

[0005] Therefore, an object of the present disclosure is to more effectively detect unauthorized battery replacement in a vehicle. [Means for solving the problem]

[0006] In some embodiments, the determination system includes: (1) a sensor for measuring the physical properties of a target battery, which is a battery installed in a vehicle; an information processing device including a control unit communicably connected to the sensor; A determination system comprising: The control unit acquiring vehicle identification information that identifies the vehicle; acquire first battery identification information that identifies a battery corresponding to the acquired vehicle identification information; Acquire the physical properties of the target battery measured by the sensor; acquiring second battery identification information for identifying a battery corresponding to the acquired physical properties; comparing the first battery identification information with the second battery identification information to determine the authenticity of the target battery installed in the vehicle; outputting a determination result of the authenticity of the target battery; A determination system including:

[0007] In this way, the determination system compares the first battery identification information corresponding to the vehicle identification information with the second battery identification information corresponding to the physical properties of the target battery to determine the authenticity of the target battery installed in the vehicle, thereby making it possible to effectively determine whether the battery installed in the vehicle has been fraudulently replaced.

[0008] In one embodiment, (2) In the judgment system of (1), Further, a camera is provided to photograph the vehicle and acquire an image thereof. The control unit The vehicle identification information may be acquired based on an analysis result of the image acquired by the camera.

[0009] In this way, vehicle identification information is obtained based on the analysis results of vehicle images to determine the authenticity of the battery, making it possible to effectively detect whether the battery has been fraudulently replaced in that vehicle.

[0010] In one embodiment, (3) In the judgment system of (2), if the control unit is unable to obtain the vehicle identification information based on the analysis results of the image, the control unit may at least one of outputting an alert and re-obtaining an image of the vehicle using the camera.

[0011] In this way, if acquisition of vehicle identification information fails, an alert is output and the image is acquired again, thereby making it possible to acquire vehicle identification information more reliably.

[0012] In one embodiment, (4) In the judgment system of (1), The control unit accepting input of identification information for identifying the vehicle from a user; The vehicle identification information may be acquired based on the specified information that has been input.

[0013] In this way, vehicle identification information is obtained based on specific information input by the user to determine the authenticity of the battery, making it possible to effectively detect whether the battery has been fraudulently replaced in the vehicle.

[0014] In one embodiment, (5) In any of the judgment systems (1) to (4), The control unit may acquire a measurement value of leakage magnetic flux of the target battery as the physical property of the target battery.

[0015] In this way, the control unit acquires the measurement value of the leakage magnetic flux of the target battery and determines the authenticity of the battery. This makes it difficult to fraudulently replace the battery without disclosing that the battery is not genuine. Therefore, it is possible to effectively detect fraudulent battery replacement.

[0016] An information processing device according to some embodiments includes: (6) Acquire vehicle identification information that identifies the vehicle; acquire first battery identification information that identifies a battery corresponding to the acquired vehicle identification information; acquiring physical properties of a target battery that is a battery mounted on the vehicle using a sensor; acquiring second battery identification information for identifying a battery corresponding to the acquired physical properties; comparing the first battery identification information with the second battery identification information to determine the authenticity of the target battery installed in the vehicle; outputting a determination result of the authenticity of the target battery; It has a control unit.

[0017] In this way, the information processing device compares the first battery identification information corresponding to the vehicle identification information with the second battery identification information corresponding to the physical properties of the target battery to determine the authenticity of the target battery installed in the vehicle, thereby making it possible to effectively determine whether the battery installed in the vehicle has been fraudulently replaced.

[0018] In some embodiments, the determination method includes: (7) A method for determining an information processing device having a control unit, comprising: The control unit Obtaining vehicle identification information that identifies a vehicle; acquiring first battery identification information that identifies a battery corresponding to the acquired vehicle identification information; acquiring physical properties of a target battery that is a battery mounted on the vehicle using a sensor; acquiring second battery identification information for identifying a battery corresponding to the acquired physical property; comparing the first battery identification information with the second battery identification information to determine the authenticity of the target battery installed in the vehicle; outputting a determination result of the authenticity of the target battery; Includes:

[0019] In this way, the determination method compares the first battery identification information corresponding to the vehicle identification information with the second battery identification information corresponding to the physical properties of the target battery to determine the authenticity of the target battery installed in the vehicle, thereby making it possible to effectively determine whether the battery installed in the vehicle has been fraudulently replaced.

[0020] In some embodiments, the program (8) acquiring vehicle identification information that identifies the vehicle; acquiring first battery identification information that identifies a battery corresponding to the acquired vehicle identification information; Obtaining physical properties of a target battery that is a battery installed in the vehicle; acquiring second battery identification information for identifying a battery corresponding to the acquired physical property; comparing the first battery identification information with the second battery identification information to determine the authenticity of the target battery installed in the vehicle; outputting a determination result of the authenticity of the target battery; The computer is caused to perform operations including:

[0021] In this way, the program compares the first battery identification information corresponding to the vehicle identification information with the second battery identification information corresponding to the physical properties of the target battery to determine the authenticity of the target battery installed in the vehicle, thereby making it possible to effectively determine whether the battery installed in the vehicle has been fraudulently replaced. [Effects of the Invention]

[0022] According to one embodiment of the present disclosure, unauthorized battery replacement from a vehicle can be more effectively detected. [Brief explanation of the drawings]

[0023] [Figure 1] FIG. 1 is a diagram illustrating an overview of a determination system according to an embodiment. [Figure 2] FIG. 2 is a block diagram showing an example of the configuration of the information processing device of FIG. 1. [Figure 3] FIG. 1 is a diagram illustrating an example of the configuration of a determination system according to an embodiment. [Figure 4] FIG. 1 is a diagram for schematically explaining an example of measurement of the physical properties of a battery. [Figure 5] FIG. 2 is a diagram illustrating an example of a vehicle DB. [Figure 6] FIG. 10 is a diagram illustrating an example of a battery DB. [Figure 7] FIG. 1 is a diagram illustrating an example of the configuration of a determination system according to an embodiment. [Figure 8]10 is a flowchart illustrating an example of the operation of the determination system. DETAILED DESCRIPTION OF THE INVENTION

[0024] <Comparative Example> As a configuration related to a comparative example, Patent Document 1 (Claim 1) describes, "A battery type determination device comprising: an output control unit that instructs a current application circuit to apply a specific current to a target battery; a voltage response measurement unit that measures the voltage response of the target battery to the current applied by the output control unit; a calculation unit that determines an inductance value of the target battery based on the current value applied by the output control unit and the voltage value measured by the voltage response measurement unit; and a determination unit that determines the type of the target battery based on a specified value of inductance according to the type of the target battery and the inductance value of the target battery determined by the calculation unit."

[0025] Patent document 2 (Claim 1) describes a battery management system comprising: "a first management device that manages battery characteristics measured under specified conditions for each of a plurality of batteries that can be mounted in a battery-powered mobile body by linking them to identification information for each battery; and a second management device that, when the first battery mounted in the mobile body is replaced with a second battery, compares the battery characteristics of the second battery measured under the specified conditions in the mobile body with the battery characteristics linked to the identification information of the second battery in the first management device, and if the comparison fails, prohibits the use of the second battery in the mobile body."

[0026] However, the configuration of the comparative example leaves room for improvement in effectively detecting unauthorized battery replacements, such as when a battery-powered vehicle is rented. For example, the secondary batteries installed in an xEV account for the majority of the vehicle's cost. Therefore, there is a risk that the batteries will be swapped for inferior, non-genuine batteries. In particular, xEVs used for leasing and rental purposes are often used by an unspecified number of people other than the owner, increasing the risk of non-genuine products being mixed in. The present disclosure aims to provide a versatile system that identifies the type of onboard secondary battery and determines its authenticity in order to quickly identify such situations.

[0027] <Embodiment> Hereinafter, an embodiment of the present disclosure will be described with reference to the drawings. In each drawing, parts having the same configuration or function are denoted by the same reference numerals. In the description of this embodiment, duplicated descriptions of the same parts may be omitted or simplified as appropriate.

[0028] 1 is a diagram illustrating an overview of a determination system 1a according to one embodiment. The determination system 1a determines the authenticity of a battery 41 installed in a vehicle 40. The vehicle 40 is an electric vehicle that is driven by the electrical energy of the battery 41. The vehicle 40 may include, for example, a BEV (Battery Electric Vehicle), an HEV (Hybrid Electric Vehicle), and a PHEV (Plug-in Hybrid Electric Vehicle) (these electric vehicles are collectively referred to as "xEV").

[0029] The determination system 1a includes an information processing device 10, a camera 21, a physical property sensor 22, and a vehicle information DB (Database) 30. Hereinafter, the determination systems 1a, 1b, and 1c may be collectively referred to as the "determination system 1." The information processing device 10 is connected to the camera 21, the physical property sensor 22, and the vehicle information DB (Database) 30 so as to be able to communicate with them.

[0030] The camera 21 photographs the vehicle 40 and acquires an image. The camera 21 may be configured, for example, as a digital camera. The image is used to acquire information necessary for identifying the vehicle 40, such as the vehicle identification number, vehicle type, manufacturer, model (generation), grade, and license plate information. The camera 21 may acquire one or more images including, for example, the license plate, the portion of the vehicle 40 on which the vehicle identification number is written, and the exterior from which the body shape of the vehicle 40 can be identified. The camera 21 may acquire images not only of the vehicle 40 but also of documents on which information necessary for identifying the vehicle 40 is written, such as a vehicle inspection certificate.

[0031] The physical property sensor 22 measures the physical properties of a battery 41 (target battery) mounted on the vehicle 40. The physical property sensor 22 is, for example, a magnetic sensor that measures leakage magnetic flux formed around the battery 41, but is not limited to this. For example, the physical property sensor 22 may be an ultrasonic sensor, a current sensor, or the like. Alternatively, the physical property sensor 22 may be a sensor that can measure, for example, changes in current characteristics or external magnetic fields accompanying charging and discharging of the battery 41, sound wave reflection characteristics resulting from the structure of the battery 41, or internal solvent materials and their distribution in the battery 41.

[0032] The vehicle information DB 30 stores a correspondence relationship between a vehicle ID (vehicle identification information) that identifies the vehicle 40 and a battery ID (battery identification information) that identifies the battery 41. In the example of FIG. 1, the vehicle information DB 30 indicates the correspondence relationship between not only the vehicle ID and the battery ID, but also the vehicle model and the battery type. In FIG. 1, the vehicle information DB 30 is provided outside the information processing device 10, but at least some of the functions of the vehicle information DB 30 may be provided in the information processing device 10. The vehicle information DB 30 may be configured with multiple DBs (for example, vehicle DBs 121 (121a, 121b) and battery DBs 123 (123a, 123b) described later with reference to FIGS. 3 and 7) according to the type of information.

[0033] The information processing device 10 determines the authenticity of a battery 41 installed in a vehicle 40. The information processing device 10 is, for example, a computer such as a personal computer (PC), a workstation (WS), or a tablet terminal. The information processing device 10 includes an analysis unit 101 and a matching unit 102. The analysis unit 101 analyzes an image acquired by a camera 21 and the physical properties of the battery 41 measured by a physical property sensor 22. The matching unit 102 matches a battery ID corresponding to a vehicle ID acquired by analyzing the image with a battery ID acquired by analyzing the physical properties of the battery 41, thereby determining the authenticity of the battery 41. As will be described later, the analysis unit 101 and the matching unit 102 may be realized by software.

[0034] In the above configuration, the information processing device 10 acquires a vehicle ID that identifies the vehicle 40 based on an analysis of an image acquired by the camera 21 and information input by a user for identifying the vehicle 40. The information processing device 10 acquires a first battery ID (first battery identification information) that identifies the battery 41 that corresponds to the acquired vehicle ID, for example, by referring to the vehicle information DB 30. The information processing device 10 acquires physical properties of the battery 41 installed in the vehicle 40, and acquires a second battery ID (second battery identification information) that identifies the battery 41 that corresponds to the acquired physical properties, for example, by referring to the vehicle information DB 30. The information processing device 10 compares the first battery ID with the second battery ID to determine the authenticity of the battery 41 installed in the vehicle 40, and outputs the determination result of the authenticity of the battery 41.

[0035] In this way, the determination system 1 determines the authenticity of the battery 41 by comparing the battery ID corresponding to the vehicle ID for identifying the vehicle 40 with the battery ID specified based on the physical properties of the battery 41. Therefore, the determination system 1 can effectively determine whether the battery 41 installed in the vehicle 40 has been fraudulently replaced.

[0036] Fig. 2 is a block diagram showing an example of the configuration of the information processing device 10 shown in Fig. 1. The information processing device 10 is one or more computer devices that can communicate with each other. As shown in Fig. 2, the information processing device 10 includes a control unit 11, a storage unit 12, a communication unit 13, an input unit 14, and an output unit 15.

[0037] The control unit 11 includes one or more processors. In one embodiment, the "processor" may be, but is not limited to, a general-purpose processor or a dedicated processor specialized for a specific process. The control unit 11 is communicably connected to each component of the information processing device 10 and controls the operation of the information processing device 10 as a whole.

[0038] The storage unit 12 includes any storage module, such as a hard disk drive (HDD), a solid state drive (SSD), a read-only memory (ROM), and a random access memory (RAM). The storage unit 12 may function as, for example, a main storage device, an auxiliary storage device, or a cache memory. The storage unit 12 stores any information used in the operation of the information processing device 10. For example, the storage unit 12 may store system programs, application programs, and various information received by the communication unit 13. The storage unit 12 is not limited to being built into the information processing device 10, but may also be an external database or an external storage module. For example, the storage unit 12 may store images acquired by the camera 21 and measured values ​​of physical properties acquired by the physical property sensor 22.

[0039] The communication unit 13 includes any communication module that can communicate with other devices, such as a scanner, using any communication technology. The communication unit 13 may further include a communication control module for controlling communication with other devices and a storage module for storing communication data, such as identification information, required for communication with other devices. For example, the communication unit 13 may communicate with the camera 21, the physical property sensor 22, and the vehicle information DB 30.

[0040] The input unit 14 includes one or more input interfaces that receive an input operation from an operator and acquire input information based on the operation by the operator. For example, the input unit 14 may be, but is not limited to, a physical key, a capacitance key, a pointing device, a touch screen integrated with the display of the output unit 15, or a microphone that receives voice input.

[0041] The output unit 15 includes one or more output interfaces that output information to the operator and notify the operator. For example, the output unit 15 is, but is not limited to, a display that outputs information as an image or a speaker that outputs information as sound. Such a display may be, for example, a liquid crystal panel display or an organic EL (Electro Luminescence) display. At least one of the input unit 14 and the output unit 15 may be configured integrally with the information processing device 10 or may be provided separately.

[0042] The functions of the information processing device 10 (for example, the analysis unit 101 and the matching unit 102) can be realized by executing a computer program (program) according to this embodiment on a processor included in the control unit 11. That is, the functions of the information processing device 10 can be realized by software. The computer program causes a computer to execute the processing of steps included in the operation of the information processing device 10, thereby causing the computer to realize the functions corresponding to the processing of each step. That is, the computer program is a program for causing a computer to function as the information processing device 10 according to this embodiment. The computer program may be recorded on a computer-readable recording medium. Programs include information used for processing by an electronic computer that is equivalent to a program. For example, data that is not a direct instruction to a computer but has properties that define computer processing falls under the category of "something equivalent to a program."

[0043] Some or all of the functions of the information processing device 10 may be realized by a dedicated circuit included in the control unit 11. That is, some or all of the functions of the information processing device 10 may be realized by hardware. Furthermore, the information processing device 10 may be realized by a single computer or by multiple computers working together.

[0044] FIG. 3 is a diagram illustrating an example of the configuration of a determination system 1b according to an embodiment. As described above, at least some of the functions of the vehicle information DB 30 may be provided in the information processing device 10a. In the determination system 1b of FIG. 3, the vehicle information DB 30 is provided as a vehicle DB 121a and a battery DB 123a in a matching unit 102a of the information processing device 10a. In FIG. 3, the information processing device 10a includes an analysis unit 101a and a matching unit 102a. The analysis unit 101a includes a vehicle identification number acquisition unit 111, a vehicle type acquisition unit 112, and a feature acquisition unit 113. The matching unit 102a includes a vehicle DB 121a, a vehicle ID identification unit 122, a battery DB 123a, a battery ID identification unit 124, and a determination unit 125.

[0045] The vehicle identification number acquisition unit 111 analyzes the image acquired by the camera 21 to acquire the vehicle identification number of the vehicle 40. Specifically, the vehicle identification number acquisition unit 111 may analyze a captured image of the vehicle inspection certificate on which the vehicle identification number is written, or a captured image of a part of the vehicle 40 on which the vehicle identification number is engraved, to acquire the vehicle identification number.

[0046] The vehicle type acquisition unit 112 analyzes the image captured by the camera 21 to acquire the vehicle type of the vehicle 40. Specifically, the vehicle type acquisition unit 112 may acquire an automobile type classification, such as a passenger car or a small freight vehicle, as the vehicle type of the vehicle 40. The vehicle type acquisition unit 112 may analyze captured images of external features such as the exterior of the vehicle 40, emblems, and vehicle inspection certificates, etc., to acquire the vehicle type. The vehicle type may also include information such as the model (generation), grade, and manufacturer.

[0047] The analysis unit 101a may acquire, based on an image acquired by the camera 21, identification information for identifying the vehicle 40 other than the vehicle identification number and the vehicle model. For example, the analysis unit 101a may analyze an image of the vehicle 40 captured by the camera 21 and extract a number sequence and character string in the license plate as the identification information. Alternatively, the analysis unit 101a may acquire information such as the model (generation) and grade as the identification information. The analysis unit 101a may also acquire information for identifying the vehicle 40 without using an image acquired by the camera 21. For example, the information processing device 10a may connect to an OBD (On Board Diagnostics) of the vehicle 40 via an interface or a scan tool and acquire information for identifying the vehicle 40 from the OBD. As will be described later with reference to FIG. 7, the information processing device 10a may receive input of information for identifying the vehicle 40 from a user.

[0048] Furthermore, the analysis unit 101a may issue an alert to the user when it is unable to acquire the vehicle identification number, model, or other specific information of the vehicle 40 based on the image from the camera 21. Specifically, the analysis unit 101a may display an image indicating that it has failed to acquire the vehicle identification number, model, or other specific information of the vehicle 40 on the display of the output unit 15, or may output an alarm sound from the speaker of the output unit 15. Furthermore, when it is unable to acquire the vehicle identification number, model, or other specific information of the vehicle 40, the analysis unit 101a may reacquire the image using the camera 21. When reacquiring the image, the analysis unit 101a may display a guide on the display of the output unit 15 on how to capture the image with the camera 21 in order to acquire a better image.

[0049] FIG. 4 is a diagram illustrating an example of measuring the physical properties of a battery 41. FIG. 4 shows a horizontal plane obtained by observing the bottom of a vehicle 40 from vertically below. As illustrated in FIG. 4, the battery 41 has cells 411 arranged in a lattice pattern on the horizontal plane. As shown in FIG. 4, the physical property sensor 22 may measure the magnetic flux while scanning the cells 411 row by row along the scanning direction 29, and obtain the spatial distribution of the magnetic flux generated around the battery 41.

[0050] The feature amount acquiring unit 113 acquires feature amounts from the measured values ​​of the physical properties of the battery 41 acquired by the physical property sensor 22. For example, when the feature amount acquiring unit 113 acquires the measured values ​​of the leakage magnetic flux formed around the battery 41, the feature amount acquiring unit 113 may acquire information on the spatial frequency, amplitude, etc. of the leakage magnetic flux as feature amounts.

[0051] The vehicle DB 121a (the same applies to the vehicle DB 121b described later with reference to FIG. 7) is a database showing the correspondence between information for identifying the vehicle 40 and the vehicle ID and the battery ID. FIG. 5 is a diagram showing an example of the vehicle DB 121 (121a, 121b).

[0052] In FIG. 5, "manufacturer" refers to the manufacturer that produced vehicle 40. "Vehicle type" refers to the type of vehicle, such as a passenger car or a small freight vehicle. "Model" refers to a classification index assigned to vehicles with the same structure, equipment, and performance. "Model" may be expressed, for example, as an identification symbol made up of a combination of letters and numbers to classify the vehicle type and model.

[0053] The "lot number" is a serial number assigned to each production unit of vehicle 40 with the same specifications. The "vehicle number" is an individual identification number assigned to each vehicle 40 by the Ministry of Land, Infrastructure, Transport and Tourism upon notification from the manufacturer of vehicle 40.

[0054] The "vehicle ID" is identification information that uniquely identifies the vehicle 40 in the determination system 1. In this embodiment, the "vehicle ID" is unique identification information that is different from other information such as the "vehicle number" and the "lot number," but it may be the same as or a combination of other information such as the "vehicle number" and the "lot number."

[0055] The "battery ID" is identification information that identifies the battery 41 installed in the vehicle 40. In this embodiment, the "battery ID" is unique information that is different from other information such as the serial number of the battery 41, but it may be the same as other information such as the serial number or a combination of these.

[0056] The vehicle ID identification unit 122 refers to the vehicle DB 121a and acquires the vehicle ID and battery ID corresponding to the identification information for identifying the vehicle 40 acquired by the vehicle identification number acquisition unit 111 and the vehicle model acquisition unit 112.

[0057] The battery DB 123a (the same applies to the battery DB 123b described later with reference to FIG. 7) is a database showing the correspondence between the feature amounts related to the physical properties of the battery 41 and the battery ID. FIG. 6 is a diagram showing an example of the battery DB 123 (123a, 123b).

[0058] In FIG. 6, the "magnetic waveform" is a spatial magnetic waveform when the physical property sensor 22 is operated around the cell 411 along the scanning direction 29 in FIG.

[0059] The "feature amount" is a value obtained by analyzing the measurement value of the physical property sensor 22. For example, the "feature amount" is information about the spatial frequency and amplitude of the leakage magnetic flux. In FIG. 6, for example, T1, T2, and T3 are spatial frequencies at the positions where peaks are observed. 2 is the square of the amplitude of the leakage flux.

[0060] "Battery type" is the type of battery 41. For example, "battery type" may be a number (serial number) of the battery 41 assigned to each production unit.

[0061] The "battery ID" is identification information that identifies the battery 41. In this embodiment, the meaning of the "battery ID" in the vehicle DB 121 (121a, 121b) is the same as the meaning of the "battery ID" in the battery DB 123 (123a, 123b).

[0062] The battery ID specifying unit 124 refers to the battery DB 123 a and acquires the battery ID corresponding to the feature amount of the physical property of the battery 41 acquired by the feature amount acquiring unit 113 .

[0063] The determination unit 125 compares the battery ID (first battery ID) associated with the vehicle 40 identified by the vehicle ID identification unit 122 with the battery ID (second battery ID) acquired based on an analysis of the physical properties of the battery 41 identified by the battery ID identification unit 124, to determine the authenticity of the battery 41. If the first battery ID and the second battery ID match, the determination unit 125 determines that the battery 41 installed in the vehicle 40 is authentic, and if not, determines that the battery is not authentic.

[0064] The information processing device 10a outputs the determination result of the determination unit 125. In the example of Fig. 3, the information processing device 10a causes the display unit 103 of the output unit 15 to display the determination result of the authenticity of the battery 41, and outputs the determination result.

[0065] In this embodiment, the functional elements described with reference to FIG. 3 are realized by software, but at least some of these functional elements may be configured by dedicated hardware.

[0066] The configuration of the determination system 1 described with reference to Figures 1 and 3 is an example, and various modifications are possible. Figure 7 is a diagram showing an example configuration of a determination system 1c according to an embodiment. In the determination system 1c, the analysis unit 101b includes a feature acquisition unit 113. The matching unit 102b includes a vehicle ID identification unit 122, a battery ID identification unit 124, and a determination unit 125.

[0067] 7 does not include a camera 21, but instead includes an operation unit 23 that accepts operations from a user. The operation unit 23 may be configured with the input unit 14. The determination system 1c prompts the user to input identification information for identifying the vehicle 40, obtains the vehicle ID and battery ID corresponding to the input identification information, and outputs them to the determination unit 125.

[0068] Furthermore, the determination system 1c does not include the vehicle DB 121b and the battery DB 123b in the information processing device 10b, but instead includes them in a cloud or the like that can communicate with the information processing device 10b. The information processing device 10b accesses the vehicle DB 121b and the battery DB 123b via a network including the Internet or the like as needed.

[0069] The determination unit 125 compares a battery ID (first battery ID) linked to identification information for identifying the vehicle 40 input by the user with a battery ID (second battery ID) linked to the characteristic amounts of the physical properties of the battery 41 acquired by the physical property sensor 22. If the first battery ID and the second battery ID match, the determination unit 125 determines that the battery 41 installed in the vehicle 40 is genuine, and if not, determines that the battery is not genuine. The determination unit 125 outputs the determination result to the recording unit 131. The recording unit 131 is an external storage device. The recording unit 131 may be, for example, a USB (Universal Serial Bus) memory, a network storage, or the like.

[0070] Fig. 8 is a flowchart showing an example of the operation of the determination system 1. Fig. 8 is a flowchart showing the operation of the information processing device 10 of Fig. 1. The operation of the information processing device 10 described with reference to Fig. 8 may correspond to one of the determination methods of the information processing device 10. The operation of each step in Fig. 8 may be executed based on the control of the control unit 11 of the information processing device 10.

[0071] In step S1, the control unit 11 acquires a vehicle ID (vehicle identification information) for identifying the vehicle 40. Specifically, the control unit 11 may acquire the vehicle ID by analyzing an image obtained by photographing the vehicle 40 or by receiving input of identification information for identifying the vehicle 40 from the user.

[0072] In step S2, the control unit 11 acquires a first battery ID, which is identification information of the battery 41 corresponding to the vehicle ID acquired in step S1. Specifically, the control unit 11 may refer to the vehicle DB 121 (121a, 121b) and acquire the battery ID corresponding to the vehicle ID as the first battery ID.

[0073] In step S3, the control unit 11 acquires the physical properties of the target battery, which is the battery 41 mounted on the vehicle 40. Specifically, the control unit 11 controls the physical property sensor 22 to acquire measured values ​​of the physical properties of the battery 41, such as leakage magnetic flux.

[0074] In step S4, the control unit 11 acquires a second battery ID, which is identification information of the battery 41, corresponding to the physical properties of the target battery (battery 41). Specifically, the control unit 11 may acquire a characteristic amount of the physical properties of the target battery, and refer to the battery DB 123 (123a, 123b) to acquire a battery ID corresponding to the characteristic amount as the second battery ID.

[0075] In step S5, control unit 11 determines whether the first battery ID acquired in step S2 and the second battery ID acquired in step S4 are the same. If the first battery ID and the second battery ID are the same (YES in step S5), control unit 11 proceeds to step S6, and if not (NO in step S5), control unit 11 proceeds to step S7.

[0076] In step S6, the control unit 11 determines that the battery 41 (target battery) installed in the vehicle 40 is genuine.

[0077] In step S7, the control unit 11 determines that the battery 41 (target battery) installed in the vehicle 40 is not genuine.

[0078] In step S8, control unit 11 outputs the determination result acquired in step S6 or step S7. Specifically, control unit 11 may display the determination result of the authenticity of the target battery on display unit 103 of output unit 15, or output it to memory unit 12 or recording unit 131. After completing the processing of step S8, control unit 11 ends the processing of the flowchart.

[0079] As described above, the information processing device 10 acquires a vehicle ID that identifies the vehicle 40, and acquires a first battery ID that identifies the battery 41 that corresponds to the acquired vehicle ID. The information processing device 10 acquires the physical properties of the battery 41 installed in the vehicle 40, and acquires a second battery ID that identifies the battery 41 that corresponds to the acquired physical properties. The information processing device 10 compares the first battery ID with the second battery ID to determine the authenticity of the battery 41 installed in the vehicle 40, and outputs the authenticity determination result.

[0080] In this way, the information processing device 10 determines the authenticity of the battery 41 installed in the vehicle 40 by comparing the first battery ID corresponding to the vehicle ID with the second battery ID corresponding to the physical properties of the battery 41. Therefore, the information processing device 10 can effectively determine whether the battery 41 installed in the vehicle 40 has been fraudulently replaced.

[0081] Furthermore, the information processing device 10 may acquire an image of the vehicle 40 and acquire the vehicle ID based on the analysis result of the acquired image. In this way, the information processing device 10 acquires the vehicle ID based on the analysis result of the image of the vehicle 40 and determines the authenticity of the battery 41, so that it is possible to effectively detect whether the battery 41 has been fraudulently replaced in the vehicle 40.

[0082] Furthermore, the information processing device 10 may receive input of identification information for identifying the vehicle 40 from the user, and acquire the vehicle ID based on the received input of identification information.

[0083] In one embodiment, the information processing device 10 may acquire a measurement value of the leakage magnetic flux of the battery 41 as a physical property of the battery 41. In this way, the information processing device 10 acquires the measurement value of the leakage magnetic flux of the battery 41 to determine the authenticity of the battery 41, making it difficult to fraudulently replace the battery 41 without revealing that the battery 41 is not genuine. Therefore, the information processing device 10 can effectively detect fraudulent replacement of the battery 41.

[0084] As described above, the determination system 1 identifies the vehicle 40 using the camera 21 or the like, and acquires information for identifying the type and individual battery 41 that should originally be installed. Meanwhile, the determination system 1 is configured to acquire information for identifying the type and individual battery 41 by measuring the physical properties of the battery 41 from outside the vehicle 40. The determination system 1 compares a first battery ID corresponding to the vehicle ID that identifies the vehicle 40 with a second battery ID corresponding to the physical properties of the battery 41, and detects unauthorized replacement of the battery 41.

[0085] When actually using xEVs for business purposes through leasing and rental, the infrastructure varies depending on the operating body. In particular, minimizing new investments to ensure the security of the battery 41 for each vehicle 40 is an issue in terms of cost and operation. Therefore, it is desirable to be able to reuse existing facilities, information, and equipment.

[0086] The determination system 1 according to the present disclosure has separate components for acquiring a battery ID from the physical properties of the battery 41 and for determining the authenticity of the battery 41 by comparing the battery ID corresponding to the vehicle 40, so that the determination system 1 can be connected to existing facilities and equipment at low cost and with high versatility. Therefore, according to the present disclosure, it is possible to externally acquire the information required for comparison and determination, ensuring scalability.

[0087] The present disclosure is not limited to the above-described embodiments. For example, multiple blocks illustrated in the block diagrams may be integrated, or one block may be divided. Multiple steps illustrated in the flowcharts may be executed in parallel or in a different order, depending on the processing capabilities of the device executing each step, or as needed, instead of being executed chronologically as described. For example, in FIG. 8, the control unit 11 may execute steps S1 and S2 after executing steps S3 and S4. Alternatively, the control unit 11 may execute steps S2 and S4 after executing steps S1 and S3. Furthermore, the control unit 11 may execute steps S3 and S4 in parallel with the execution of steps S1 and S2. Other modifications are possible without departing from the spirit of the present disclosure. [Explanation of symbols]

[0088] 1 Judgment System 10. Information processing equipment 11 Control section 12 Storage section 13 Communications Department 14 Input section 15 Output section 21 Camera 22 Physical property sensors 23 Control section 29 Scanning Direction 30 Vehicle information DB 40 vehicles 41 Batteries 411 Cell 101 Analysis Department 102 Matching unit 103 Display section 111 Vehicle Number Acquisition Department 112 Vehicle Acquisition Department 113 Feature Acquisition Unit 121 Vehicle DB 122 Vehicle ID Identification Unit 123 Battery DB 124 Battery ID identification section 125 Judgment section 131 Recording Department

Claims

1. a sensor for measuring physical properties of a target battery that is a battery installed in a vehicle; an information processing device including a control unit communicably connected to the sensor; A determination system comprising: The control unit acquiring vehicle identification information that identifies the vehicle; acquiring first battery identification information that identifies a battery corresponding to the acquired vehicle identification information; Acquire the physical properties of the target battery measured by the sensor; acquiring second battery identification information for identifying a battery corresponding to the acquired physical properties; comparing the first battery identification information with the second battery identification information to determine the authenticity of the target battery installed in the vehicle; outputting a determination result of the authenticity of the target battery; A determination system including:

2. Further, a camera is provided to photograph the vehicle and acquire an image thereof. The control unit acquiring the vehicle identification information based on an analysis result of the image acquired by the camera; The determination system according to claim 1 .

3. 3. The determination system according to claim 2, wherein, when the control unit is unable to acquire the vehicle identification information based on the analysis result of the image, the control unit at least one of outputs an alert and re-acquires an image of the vehicle using the camera.

4. The control unit accepting input of identification information for identifying the vehicle from a user; acquiring the vehicle identification information based on the received input of the specific information; The determination system according to claim 1 .

5. The determination system according to claim 1 , wherein the control unit acquires a measurement value of leakage magnetic flux of the target battery as the physical property of the target battery.

6. Acquire vehicle identification information that identifies the vehicle; acquiring first battery identification information that identifies a battery corresponding to the acquired vehicle identification information; acquiring physical properties of a target battery that is a battery mounted on the vehicle using a sensor; acquiring second battery identification information for identifying a battery corresponding to the acquired physical properties; comparing the first battery identification information with the second battery identification information to determine the authenticity of the target battery installed in the vehicle; outputting a determination result of the authenticity of the target battery; An information processing device including a control unit.

7. A determination method for an information processing device including a control unit, The control unit Obtaining vehicle identification information that identifies a vehicle; acquiring first battery identification information that identifies a battery corresponding to the acquired vehicle identification information; acquiring physical properties of a target battery that is a battery mounted on the vehicle using a sensor; acquiring second battery identification information for identifying a battery corresponding to the acquired physical property; comparing the first battery identification information with the second battery identification information to determine the authenticity of the target battery installed in the vehicle; outputting a determination result of the authenticity of the target battery; A determination method including:

8. Obtaining vehicle identification information that identifies a vehicle; acquiring first battery identification information that identifies a battery corresponding to the acquired vehicle identification information; Obtaining physical properties of a target battery that is a battery installed in the vehicle; acquiring second battery identification information for identifying a battery corresponding to the acquired physical property; comparing the first battery identification information with the second battery identification information to determine the authenticity of the target battery installed in the vehicle; outputting a determination result of the authenticity of the target battery; A program that causes a computer to perform operations including:

Images