Method executed by an information processing device

Abstract

To improve a technology about charging of a vehicle.SOLUTION: A method is a method to be executed by an information processing device 20. The method to be executed by the information processing device includes acquiring vehicle information including at least either a predicted remaining SOC remaining at a start time of an object time zone or a predicted consumption SOC to be consumed for a vehicle use period after an end of the object time zone about each of a plurality of vehicles which applies charging during the object time zone, determining whether each of the plurality of vehicles is a charging object during the object time zone on the basis of the vehicle information, and determining a charging plan for charging of a vehicle determined to be a charging object among the plurality of vehicles during the object time zone.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present disclosure relates to a method. [Background technology]

[0002] Conventionally, there are known technologies related to charging vehicles. For example, Patent Document 1 discloses a technology in which, when it is determined that the total power required to charge a plurality of vehicles is greater than the commercial power that can be supplied from a commercial power source, discharge power from at least one vehicle is supplied as charging power to at least one other vehicle. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Laid-Open No. 2015-186391 Summary of the Invention [Problem to be solved by the invention]

[0004] There was room for improvement in vehicle charging technology.

[0005] In view of the above circumstances, an object of the present disclosure is to improve technology relating to vehicle charging. [Means for solving the problem]

[0006] According to one embodiment of the present disclosure, a method comprises: A method executed by an information processing device, Acquiring vehicle information including at least one of a predicted remaining SOC remaining at the start of the target time period and a predicted consumed SOC to be consumed during the vehicle usage period after the end of the target time period for each of a plurality of vehicles for which charging during the target time period has been requested; determining whether each of the plurality of vehicles is a target for charging during the target time period based on the vehicle information; determining a charging plan for charging the vehicle determined to be the charging target among the plurality of vehicles during the target time period; Includes. [Effects of the Invention]

[0007] According to one embodiment of the present disclosure, technology for charging vehicles is improved. [Brief explanation of the drawings]

[0008] [Figure 1] 1 is a block diagram illustrating a schematic configuration of a system according to an embodiment of the present disclosure. [Figure 2] 1 is a block diagram showing a schematic configuration of a vehicle. [Figure 3] FIG. 1 is a block diagram showing a schematic configuration of an information processing device. [Figure 4] 10 is a flowchart illustrating an operation of the information processing device. DETAILED DESCRIPTION OF THE INVENTION

[0009] Hereinafter, embodiments of the present disclosure will be described.

[0010] (Outline of the embodiment) An overview of a system 1 according to an embodiment of the present disclosure will be described with reference to Fig. 1. The system 1 includes a vehicle 10 and an information processing device 20. The vehicle 10 and the information processing device 20 are communicably connected to a network 30 including, for example, the Internet and a mobile communication network.

[0011] The vehicle 10 is, for example, an automobile, but is not limited to this and may be any vehicle. The automobile may be, but is not limited to, a battery electric vehicle (BEV), a hybrid electric vehicle (HEV), a plug-in hybrid electric vehicle (PHEV), or a fuel cell electric vehicle (FCEV). The number of vehicles 10 included in the system 1 may be determined arbitrarily.

[0012] In this embodiment, the vehicle 10 has a function (hereinafter referred to as "charging function") of charging with power supplied under the control of a power management device. The power management device is a device that manages the power used within a facility, and may be, for example, a device included in a system that realizes CITY-OS. Power is supplied from a power supply facility. The power supply facility may include a commercial power source, a natural energy power source, a storage battery, etc. The storage battery may be installed, for example, at any location in an area (e.g., a city) managed by the information processing device 20.

[0013] The information processing device 20 is, for example, a computer such as a server device, etc. The information processing device 20 is capable of communicating with the vehicle 10 via a network 30.

[0014] First, an overview of this embodiment will be described, and details will be described later. The information processing device 20 acquires vehicle information for each of a plurality of vehicles for which a request for charging during a target time period has been made, including at least one of a predicted remaining SOC (State of Charge) remaining at the start of the target time period and a predicted consumed SOC during the vehicle use period after the end of the target time period. The vehicle use period is a period during which the vehicle is expected to be used after charging or parking is completed. The start of the vehicle use period may coincide with or may differ from the end of the target time period. Any method can be used to identify the vehicle use period. For example, the information processing device 20 may receive schedule information from the vehicle or a terminal device of the vehicle user and identify the vehicle use period based on the schedule information. Then, the information processing device 20 determines whether each of the plurality of vehicles is a target for charging during the target time period based on the vehicle information. Then, the information processing device 20 determines a charging plan for charging the vehicle determined to be a target for charging among the plurality of vehicles during the target time period.

[0015] As described above, according to the present embodiment, the information processing device 20 determines whether each of the multiple vehicles 10 is to be charged during a target time period based on vehicle information including at least one of the predicted remaining SOC and the predicted consumed SOC. Therefore, for example, it is possible to prioritize the vehicle 10 that is experiencing a high power shortage as the vehicle to be charged. This improves technology related to charging the vehicles 10 in that it is possible to appropriately supply power while suppressing the supply of power.

[0016] Next, each component of the system 1 will be described in detail.

[0017] (Vehicle configuration) As shown in FIG. 2, vehicle 10 includes a charging unit 11, a communication unit 12, a storage unit 13, and a control unit 14.

[0018] The charging unit 11 includes a converter that converts power from the power supply facility into power to charge a vehicle power source, such as an alternator, battery, or fuel cell mounted on the vehicle 10, and a dedicated or general-purpose power plug that can be inserted into a socket of the charging facility to supply power from the power supply facility. The provision of the charging unit 11 in the vehicle 10 realizes a charging function of charging with power supplied from the power supply facility.

[0019] The communication unit 12 includes one or more communication interfaces connected to the network 30. The communication interfaces are compatible with mobile communication standards such as, but not limited to, 4G (4th Generation) or 5G (5th Generation). In this embodiment, the vehicle 10 communicates with the information processing device 20 via the communication unit 12 and the network 30.

[0020] The storage unit 13 includes one or more memories. The memories may be, for example, semiconductor memories, magnetic memories, optical memories, or the like, but are not limited to these. Each memory included in the storage unit 13 may function, for example, as a main storage device, an auxiliary storage device, or a cache memory. The storage unit 13 stores any information used in the operation of the vehicle 10. For example, the storage unit 13 may store system programs, application programs, embedded software, and the like. The information stored in the storage unit 13 may be updatable with information obtained from the network 30 via the communication unit 12, for example.

[0021] The control unit 14 includes one or more processors, one or more programmable circuits, one or more dedicated circuits, or a combination thereof. The processor may be, for example, a general-purpose processor such as a CPU (Central Processing Unit) or a GPU (Graphics Processing Unit), or a dedicated processor specialized for a specific process, but is not limited to these. The programmable circuit may be, for example, but is not limited to, an FPGA (Field-Programmable Gate Array). The dedicated circuit may be, for example, but is not limited to, an ASIC (Application Specific Integrated Circuit). The control unit 14 controls the overall operation of the vehicle 10.

[0022] (Configuration of information processing device) As shown in FIG. 3, the information processing device 20 includes a communication unit 21, a storage unit 22, and a control unit .

[0023] The communication unit 21 includes one or more communication interfaces connected to the network 30. The communication interfaces correspond to, for example, a mobile communication standard, a wired LAN (Local Area Network) standard, or a wireless LAN standard, but are not limited to these and may correspond to any communication standard. In this embodiment, the information processing device 20 communicates with the vehicle 10 via the communication unit 21 and the network 30.

[0024] The storage unit 22 includes one or more memories. Each memory included in the storage unit 22 may function as, for example, a main storage device, an auxiliary storage device, or a cache memory. The storage unit 22 stores any information used in the operation of the information processing device 20. For example, the storage unit 22 may store system programs, application programs, databases, map information, etc. The information stored in the storage unit 22 may be updatable with information obtained from the network 30 via the communication unit 21, for example.

[0025] The control unit 23 includes one or more processors, one or more programmable circuits, one or more dedicated circuits, or a combination thereof. The control unit 23 controls the operation of the information processing device 20 as a whole.

[0026] (Operation flow of information processing device) The operation of the information processing device 20 according to this embodiment will be described with reference to FIG.

[0027] Step S101: The control unit 23 of the information processing device 20 acquires vehicle information for each of the multiple vehicles 10 for which charging during the target time period has been requested, including at least one of the predicted remaining SOC remaining at the start of the target time period and the predicted consumed SOC to be consumed during the vehicle usage period after the end of the target time period.

[0028] The target time period can be any predetermined time period. Furthermore, multiple target time periods may be included in the predetermined period. The predetermined period may be any period, for example, one day. When the predetermined period is one day, the target time period is, for example, a target time period (e.g., from 3:00 PM to 3:30 PM) among the 48 time periods into which a day is divided. Furthermore, any method can be used to request charging during the target time period. For example, the user of the vehicle 10 may request charging by transmitting at least information for identifying the vehicle 10 to the information processing device 20 from any information terminal. Furthermore, the control unit 13 of the vehicle 10 may request charging by transmitting information for identifying the vehicle 10 to the information processing device 20 in accordance with at least the predicted remaining SOC. Note that the vehicle 10 is charged using charging equipment installed in the parking space where the vehicle 10 is parked. Therefore, the request for charging may include a request for parking.

[0029] Any method can be used to acquire the vehicle information. For example, the control unit 23 may receive the vehicle information directly from the vehicle 10 via the communication unit 21 and the network 30, or may receive the vehicle information from an external device that has acquired the vehicle information.

[0030] Step S102: The control unit 23 acquires supply power information including the amount of supply power W that the power supply facility can supply for charging the vehicle 10 during the target time period.

[0031] As described above, the power supply facility can include commercial power sources, renewable energy power sources, storage batteries, etc. Therefore, the amount of supplied energy W can be calculated by multiplying the amount of commercial supply energy W1 supplied from the commercial power source, the amount of predicted energy W2 supplied from the renewable energy power source, and the amount of storage battery supply energy W3 supplied from the storage battery by coefficients a, b, and c (see formula (1)). The coefficients a, b, and c are each equal to or greater than 0 and equal to or less than 1. W=aW1+bW2+cW3 (1)

[0032] The amount of commercially supplied power W1 supplied from the commercial power source may be determined based on the method for determining the electricity rate. For example, if the electricity rate is determined based on the contracted power, which is the largest value among the maximum demand power for each month in the past year including the current month (the largest value for the month among the average power usage per 30 minutes), the amount of commercially supplied power W1 per 30 minutes included in the target time period may be set so as not to exceed the contracted power. This allows the information processing device 20 to reduce the cost required for the amount of commercially supplied power W1.

[0033] Furthermore, in formula (1), the coefficient b may be set smaller as the prediction accuracy of the predicted power amount W2 decreases. This reduces the risk of a situation occurring in which the vehicle 10 determined to be charged cannot be charged due to the amount of power supplied from the renewable energy power source deviating from the predicted power amount W2.

[0034] Step S103: The control unit 23 determines whether or not each of the plurality of vehicles 10 is to be a target for charging in the target time period, based on the vehicle information acquired in step S101.

[0035] As a first example, the control unit 23 may determine whether the amount of charging energy required to bring the predicted remaining SOC of all of the multiple vehicles 10 to a predetermined state of charge is equal to or less than the amount of supplied energy W. The predetermined state of charge is a state of charge that is expected to allow the vehicles 10 to continue running, taking into account the normal charging frequency of the vehicles 10, and may be, for example, a fully charged state or a state in which a predetermined percentage (e.g., 90%) of the fully charged state is charged. This allows the information processing device 20 to target all vehicles 10 for which charging has been requested as charging targets when the amount of supplied energy W is sufficient, thereby improving user convenience.

[0036] As a second example, the control unit 23 may determine, as a first candidate for charging, a vehicle 10 among the multiple vehicles 10 whose predicted SOC consumption is equal to or greater than a first threshold. When a predetermined condition based on the vehicle information of the first candidate vehicle 10 is satisfied, the control unit 23 may further determine, as a second candidate for charging, a vehicle 10 among the first candidates whose value obtained by subtracting the predicted SOC consumption from the predicted remaining SOC is less than a second threshold. When a predetermined condition based on the vehicle information of the second candidate vehicle 10 is satisfied, the control unit 23 may further determine, as a third candidate for charging, a vehicle 10 among the second candidates whose time from a predetermined time in the target time zone to the start time of the vehicle use period is less than a third threshold.

[0037] To explain the second example in more detail, when the control unit 23 determines, among the multiple vehicles 10, a vehicle 10 whose predicted consumed SOC is equal to or greater than a first threshold (e.g., 0%) as a first candidate to be charged, the control unit 23 determines whether the total amount of charging energy required for each of the first candidate vehicles 10 is greater than the amount of supplied energy W. When the control unit 23 determines that the total amount of charging energy required for each of the first candidate vehicles 10 is equal to or less than the amount of supplied energy W, the control unit 23 determines the first candidate vehicle 10 as the vehicle to be charged. The required amount of charging energy may be, for example, the amount of charging energy that brings the SOC of each of the first candidate vehicles 10 to a predetermined state of charge, or the amount of charging energy that brings the predicted remaining SOC of each of the first candidate vehicles 10 to equal to or greater than the predicted consumed SOC.

[0038] Then, when the control unit 23 determines that the total amount of charging energy required for each of the first candidate vehicles 10 is greater than the amount of supplied energy W, it determines, among the first candidates, a vehicle 10 for which the value obtained by subtracting the predicted consumed SOC from the predicted remaining SOC is less than a second threshold value (for example, 30%), as a second candidate to be charged. When the control unit 23 determines a second candidate, it determines whether the total amount of charging energy required for each of the second candidate vehicles 10 is greater than the amount of supplied energy W. When the control unit 23 determines that the total amount of charging energy required for each of the second candidate vehicles 10 is equal to or less than the amount of supplied energy W, it determines the second candidate vehicle 10 as the vehicle to be charged.

[0039] Then, when the control unit 23 determines that the total amount of charging energy required for each of the second candidate vehicles 10 is greater than the supply energy amount W, it determines, among the second candidates, a vehicle 10 for which the time from a predetermined time in the target time zone to the start time of the vehicle usage period is less than a third threshold value (for example, 12 hours), as a third candidate to be charged. The control unit 23 may determine whether the total amount of charging energy required for each of the third candidate vehicles 10 is equal to or less than the supply energy amount W, and if it determines that the total is equal to or less than the supply energy amount W, it may determine the third candidate to be charged.

[0040] As a result, the information processing device 20 can determine the vehicle 10 to be charged according to priority, with the vehicle 10 with the lowest predicted SOC consumption being the lowest priority, the vehicle 10 with the highest value obtained by subtracting the predicted SOC consumption from the predicted remaining SOC being the next lowest priority, and the vehicle 10 with the longest time from a predetermined time in the target time zone to the start time of the vehicle use period being the next lowest priority. Therefore, the information processing device 20 will preferentially determine the vehicle 10 with the highest power shortage as the vehicle to be charged, and power can be supplied appropriately.

[0041] Step S104: The control unit 23 determines a charging plan for charging the vehicle 10 determined as the charging target among the plurality of vehicles 10 during the target time period.

[0042] The charging plan is a plan regarding charging of the vehicles 10 determined to be charged during a target time period, and includes, for example, the amount of charge for each vehicle 10 and parking spaces equipped with charging facilities where each vehicle 10 will park for charging. The control unit 23 may determine parking spaces equipped with charging facilities where each of the multiple vehicles 10 determined to be charged during a predetermined time period will park.

[0043] For example, the vehicle information may further include the location of the vehicle 10, and in such a configuration, the control unit 23 may determine the parking space in which each of the multiple vehicles 10 will be parked based on the location of each of the multiple vehicles 10 and the location of each of the multiple parking spaces.

[0044] Specifically, the position of vehicle 10 may be the position (start position) where vehicle 10 was staying before the start of the target time period. In such a configuration, control unit 23 may determine the parking space in which each of the multiple vehicles 10 will park, based on the start position of each of the multiple vehicles 10 and the positions of each of the multiple parking spaces. Specifically, control unit 23 may determine the parking space in which each of the multiple vehicles 10 will park, so as to minimize the total distance traveled by each of the multiple vehicles 10 to move from their respective start positions to the parking space.

[0045] This allows the information processing device 20 to determine a charging plan that reduces the amount of power consumed by the vehicle 10 to move to a parking space. This allows the information processing device 20 to save the amount of power required to charge multiple vehicles 10.

[0046] Step S105: The control unit 23 outputs parking information indicating the parking spaces for each of the plurality of vehicles 10 included in the charging plan.

[0047] Specifically, the control unit 23 transmits parking information indicating the parking space in which the vehicle 10 will be parked to the vehicle 10 determined in step S103 as the charging target via the communication unit 21. The parking information may be, for example, information for identifying the parking space or information indicating the location of the parking space. As a result, the communication unit 12 of the vehicle 10 receives the parking information, and the control unit 14 of the vehicle 10 outputs the parking information via an output device such as a display or a speaker.

[0048] Furthermore, the control unit 23 may transmit information indicating that the vehicle 10 is not a target vehicle for charging to the vehicle 10 determined not to be a target vehicle for charging in step S103. As a result, the communication unit 12 of the vehicle 10 receives the information indicating that the vehicle 10 is not a target vehicle for charging, and the control unit 14 of the vehicle 10 outputs the information via an output device such as a display or a speaker.

[0049] In addition, the memory unit 22 may pre-store information about the terminal device used by the user or the user account of the user in association with the identification information of the vehicle 10, and in such a configuration, the control unit 23 may notify the terminal device or user account via the communication unit 21 of parking information or information indicating that the vehicle 10 is not a target for charging.

[0050] As described above, the information processing device 20 according to this embodiment acquires vehicle information for each of a plurality of vehicles for which charging during a target time period has been requested, the vehicle information including at least one of the predicted remaining SOC at the start of the target time period and the predicted consumed SOC during the vehicle use period after the end of the target time period. Then, based on the vehicle information, the information processing device 20 determines whether each of the plurality of vehicles is a target for charging during the target time period. Then, the information processing device 20 determines a charging plan for charging the vehicles determined to be a target for charging among the plurality of vehicles during the target time period.

[0051] According to this configuration, the information processing device 20 determines whether each of the multiple vehicles 10 is to be charged during a target time period based on vehicle information including at least one of the predicted remaining SOC and the predicted consumed SOC. Therefore, it is possible to prioritize the vehicle 10 with the highest power shortage as the vehicle to be charged. This improves technology related to charging the vehicles 10 in that it is possible to appropriately supply power while suppressing the supply of power.

[0052] Although the present disclosure has been described based on the drawings and examples, it should be noted that those skilled in the art may make various modifications and alterations based on the present disclosure. Therefore, it should be noted that these modifications and alterations are included in the scope of the present disclosure. For example, the functions included in each component or step can be rearranged so as not to be logically inconsistent, and multiple components or steps can be combined or divided into one.

[0053] For example, in the above-described embodiment, the configuration and operation of the information processing device 20 may be distributed among multiple computers that can communicate with each other. Also, for example, an embodiment in which some or all of the components of the information processing device 20 are provided in the vehicle 10 may be possible. For example, a navigation device installed in the vehicle 10 may include some or all of the components of the information processing device 20.

[0054] Furthermore, in the above-described embodiment, the vehicle 10 may further include a power supply unit. The power supply unit includes an outlet into which a dedicated or general-purpose power plug can be inserted, capable of supplying power from a power source such as an alternator, a battery, or a fuel cell mounted on the vehicle 10. By including the power supply unit in the vehicle 10, a power supply function of supplying power to another vehicle 10 is realized.

[0055] In this configuration, the control unit 23 of the information processing device 20 acquires supply power information, including the amount of supply power W that the power supply facility can supply for charging the vehicles 10 during the target time period, as described above. The control unit 23 determines whether the amount of charging power required to bring the predicted remaining SOC of all of the multiple vehicles to a predetermined state of charge is equal to or less than the amount of supply power W. If the control unit 23 determines that the amount of charging power is greater than the amount of supply power W, it determines, as a power supply vehicle, a vehicle 10 that was not selected as a charging target during the target time period and for which the value obtained by subtracting the predicted consumption SOC from the predicted remaining SOC is greater than a reference value (e.g., 50%). Here, if the control unit 23 determines that the amount of charging power is equal to or less than the amount of supply power W, it determines that none of the vehicles that were not selected as a charging target during the target time period are to be power supply vehicles. In this way, the information processing device 20 can supply power from a vehicle 10 whose predicted remaining SOC is sufficient relative to the predicted consumption SOC to a vehicle 10 whose predicted remaining SOC is insufficient relative to the predicted consumption SOC. Therefore, the information processing device 20 can appropriately distribute power among the multiple vehicles 10, and can efficiently run each of the multiple vehicles 10 even when the amount of power W supplied from the power supply equipment is insufficient.

[0056] Furthermore, the control unit 23 determines a power supply plan for the power supply vehicle to supply power. The control unit 23 may determine a parking space equipped with power supply equipment in which each of the multiple vehicles 10 determined to be power supply targets will park during a predetermined time period. For example, the control unit 23 may determine the parking space based on the location of the vehicle 10 determined to be a power supply target. Specifically, the control unit 23 may determine the parking space for each of the multiple vehicles 10 so that at least one of the total distance traveled by the multiple vehicles 10 from their respective starting locations to the parking space and the total distance traveled by the multiple vehicles 10 from the parking space to their respective destination locations is shortest. This allows the information processing device 20 to determine a power supply plan so as to reduce the amount of power consumed by the vehicle 10 to move to the parking space. Therefore, the vehicle 10 determined to be a power supply vehicle can supply a large amount of power to the vehicle 10 determined to be a charging target.

[0057] In the above-described embodiment, the control unit 23 does not need to acquire the supply power information. In such a configuration, the control unit 23 determines whether or not each of the plurality of vehicles 10 is to be charged based on the vehicle information, without using the supply power information.

[0058] Also, for example, an embodiment is possible in which a general-purpose computer functions as the information processing device 20 according to the above-described embodiment. Specifically, a program describing the processing content for realizing each function of the information processing device 20 according to the above-described embodiment is stored in the memory of the general-purpose computer, and the program is read and executed by a processor. Therefore, the present disclosure can also be realized as a program executable by a processor, or a non-transitory computer-readable medium storing the program. [Explanation of symbols]

[0059] 1 System 10 vehicles 11 Live parts 12 Communications Department 13 Storage section 14 Control Unit 20 Information processing equipment 21 Communications Department 22 Memory section 23 Control Unit 30 Network

Claims

1. A method executed by an information processing device, Acquiring vehicle information including at least one of a predicted remaining SOC remaining at the start of the target time period and a predicted consumed SOC to be consumed during a vehicle usage period after the end of the target time period for each of a plurality of vehicles for which charging during the target time period has been requested; determining whether each of the plurality of vehicles is a target for charging during the target time period based on the vehicle information; determining a charging plan for charging the vehicle determined to be the charging target among the plurality of vehicles during the target time period; A method executed by an information processing device, comprising: The method further includes acquiring supply power information including an amount of supply power that can be supplied by the power supply facility for charging the vehicle during the target time period. the information processing device determines whether an amount of charging power required to bring the predicted remaining SOC of all of the plurality of vehicles into a predetermined state of charge is equal to or less than the amount of supplied power, and when it is determined that the amount of charging power is equal to or less than the amount of supplied power, determines that all of the plurality of vehicles are to be charged; A method executed by an information processing device, wherein the amount of supplied power is the sum of values ​​obtained by multiplying the amount of commercial supply power supplied from a commercial power source, the amount of predicted power supplied from a natural energy power source, and the amount of storage battery supply power supplied from a storage battery by a coefficient.

2. A method executed by an information processing device, comprising: Acquiring vehicle information including at least one of a predicted remaining SOC remaining at the start of the target time period and a predicted consumed SOC to be consumed during a vehicle usage period after the end of the target time period for each of a plurality of vehicles for which charging during the target time period has been requested; determining whether each of the plurality of vehicles is a target for charging during the target time period based on the vehicle information; determining a charging plan for charging the vehicle determined to be the charging target among the plurality of vehicles during the target time period; A method executed by an information processing device, comprising: The information processing device includes: determining, among the plurality of vehicles, a vehicle whose predicted SOC consumption is equal to or greater than a first threshold as a first candidate to be charged; When a predetermined condition based on at least the predicted remaining SOC of the first candidate vehicle is satisfied, a vehicle among the first candidates, for which a value obtained by subtracting the predicted consumption SOC from the predicted remaining SOC is less than a second threshold, is determined to be the second candidate to be charged; A method executed by an information processing device, in which, when a predetermined condition based on at least the predicted remaining SOC of the second candidate vehicle is satisfied, a vehicle among the second candidates whose time from a predetermined time in the target time period to the start time of the vehicle usage period is less than a third threshold is determined to be the third candidate to be charged.

3. A method executed by an information processing device, comprising: Acquiring vehicle information including at least one of a predicted remaining SOC remaining at the start of the target time period and a predicted consumed SOC to be consumed during a vehicle usage period after the end of the target time period for each of a plurality of vehicles for which charging during the target time period has been requested; determining whether each of the plurality of vehicles is a target for charging during the target time period based on the vehicle information; determining a charging plan for charging the vehicle determined to be the charging target among the plurality of vehicles during the target time period; A method executed by an information processing device, comprising: The method includes acquiring supply power information including an amount of power that can be supplied by a power supply facility for charging a vehicle during a target time period; determining whether the amount of charging power required to bring all of the predicted remaining SOCs of the plurality of vehicles to a predetermined state of charge is equal to or less than the amount of supply power; and When it is determined that the amount of charging electric power is greater than the amount of supply electric power, a vehicle that has a value obtained by subtracting the predicted consumption SOC from the predicted remaining SOC and that is greater than a reference value is determined to be a power supply vehicle, among the vehicles that were not selected as charging targets, The information processing device determines a power supply plan for the power supply vehicle to supply power.

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