Information processing device

Abstract

The present invention provides an information processing device that can predict whether or not a vehicle will perform continuous charging. [Solution] The information processing device predicts whether a vehicle charging its battery at a charging station that charges for a predetermined time RT will perform continuous charging, which involves repeatedly charging for the predetermined time RT. The information processing device comprises a storage device and an execution device. The storage device stores continuous charging ratios R1 to R4, which are the percentage of continuous charging in the vehicle's past charging cycles. The execution device predicts whether the vehicle will perform continuous charging based on the continuous charging ratios R1 to R4.

Description

Technical Field

[0001] The present invention relates to an information processing apparatus.

Background Art

[0002] Patent Document 1 describes an information providing system that predicts the congestion status of a charging station when a vehicle arrives at the charging station. The information providing system predicts the charging time of a vehicle at the charging station.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] By the way, the charging of the battery of a vehicle at a charging station may be determined to be performed for a predetermined specified time. In this case, the vehicle may be continuously charged by repeatedly performing the charging for the specified time. An information providing system as described in Patent Document 1 may not be able to appropriately predict whether the vehicle will be continuously charged.

Means for Solving the Problems

[0005] An information processing apparatus for solving the above problems is an information processing apparatus that predicts whether a vehicle that charges a battery at a charging station that performs charging for a predetermined specified time will perform continuous charging by repeatedly performing the charging for the specified time, and includes a storage device and an execution device. The storage device stores a continuous charging ratio that is the ratio of the continuous charging performed in the past charging of the vehicle, and the execution device predicts whether the vehicle will perform the continuous charging based on the continuous charging ratio.

Effects of the Invention

[0006] According to the above configuration, the information processing device predicts whether or not a vehicle will perform continuous charging, which involves repeatedly charging for a specified period of time, based on the vehicle's continuous charging ratio. Therefore, the information processing device can predict whether or not continuous charging will be performed for each vehicle. [Brief explanation of the drawing]

[0007] [Figure 1] Figure 1 is a schematic diagram showing a vehicle management system according to one embodiment. [Figure 2] Figure 2 is a schematic diagram showing the database of the same embodiment. [Figure 3] Figure 3 is a flowchart showing a series of processes performed by the information processing device of this embodiment. [Figure 4] Figure 4 is a flowchart showing the series of processes performed by the modified information processing device. [Modes for carrying out the invention]

[0008] <One Embodiment> As shown in Figure 1, the management system 10 comprises multiple vehicles 20, multiple charging stations 30, and a server 40. Note that only one vehicle 20 and one charging station 30 are shown in Figure 1. The management system 10 manages the charging of the vehicles 20 at the charging stations 30.

[0009] Vehicle 20 is equipped with a charging port 21, a charging circuit 22, a battery 23, and a drive motor 24. Vehicle 20 is an electric vehicle. The charging port 21 is connected to the charging plug 31 of the charging station 30. When the charging plug 31 is connected to the charging port 21, the battery 23 is ready to be charged from the charging station 30.

[0010] The drive motor 24 is the power source for the vehicle 20. The drive motor 24 uses the power stored in the battery 23 to drive the vehicle 20. The battery 23 stores the power to operate the drive motor 24.

[0011] The charging circuit 22 includes a relay that switches between connecting and disconnecting the power path from the charging port 21 to the battery 23, and a power conversion circuit. The battery 23 is charged when the charging circuit 22 is controlled.

[0012] The vehicle 20 is equipped with a communication device 25 and a control device 26. The communication device 25 is capable of communicating with the charging station 30 and the server 40 via a wireless communication network. The communication device 25 transmits identification information to the charging station 30 to identify the vehicle 20. The communication device 25 also transmits the initial charge rate SCR to the charging station 30 when charging is started at the charging station 30.

[0013] The control device 26 controls charging in the vehicle 20. When the control device 26 detects that a charging plug 31 has been connected to the charging port 21, it controls the charging circuit 22 to start charging the battery 23. The control device 26 refers to the charge rate CR of the battery 23 and controls the charging circuit 22 to end charging the battery 23.

[0014] The charging station 30 performs charging for a predetermined time RT. The charging station 30 includes a charging plug 31, an external power supply 32, a display 33, a control device 34, and a communication device 35.

[0015] The charging plug 31 is connected to an external power supply 32 by a cable. The charging plug 31 can be connected to the charging port 21 of the vehicle 20. The external power supply 32 supplies current to the battery 23 of the vehicle 20 via the charging plug 31. In this way, the external power supply 32 charges the battery 23.

[0016] The display 33 displays information for the user who uses the charging station 30. For example, the display 33 displays the remaining charging time by the charging station 30.

[0017] The control device 34 controls the charging from the external power source 32. The control device 34 performs charging for a predetermined regulation time RT by controlling the charging from the external power source 32. The regulation time RT is determined in advance by tests and simulations. For example, the regulation time RT is 30 minutes. Specifically, after the charging plug 31 is connected to the charging port 21 and current starts to flow from the external power source 32 to the battery 23, when the regulation time RT has elapsed, the control device 34 ends the charging from the external power source 32.

[0018] The communication device 35 can communicate with the vehicle 20 and the server 40 via a wireless communication network. The communication device 35 receives the identification information of the vehicle 20 from the vehicle 20. The communication device 35 transmits the identification information of the charging vehicle 20 and the identification information for identifying the charging station 30 to the server 40. When the control device 34 starts charging for the regulation time RT at the charging station 30, the communication device 35 transmits a start notification indicating the start to the server 40. The communication device 35 transmits the start charging rate SCR of the vehicle 20 received from the vehicle 20 to the server 40 together with the start notification. Also, the communication device 35 receives information to be displayed on the display 33 from the server 40.

[0019] The server 40 includes a communication device 41 and an information processing device 42. The communication device 41 can communicate with the vehicle 20 and the charging station 30 via a wireless communication network. The communication device 41 receives, from the charging station 30, the identification information of the charging vehicle 20 and the identification information for identifying the charging station 30. The communication device 41 receives a start notification and a start charging rate SCR from the charging station 30. The communication device 41 transmits information to be displayed on the display 33 to the server 40.

[0020] The information processing device 42 predicts whether the vehicle 20 that charges the battery 23 at the charging station 30 which performs charging for a specified time RT will perform continuous charging in which charging for the specified time RT is repeated.

[0021] The information processing device 42 includes an execution device 43 and a storage device 44. The execution device 43 is a CPU. The storage device 44 is a memory. The storage device 44 stores a prediction program PR and a database DB. The prediction program PR is a program for predicting whether the vehicle 20 that charges the battery 23 at the charging station 30 will perform continuous charging. The database DB includes various data to be referred to when executing the prediction program PR.

[0022] As shown in FIG. 2, the database DB includes past data DL. The past data DL is various information received from the charging station 30 when charged in the past. The past data DL includes, for each of the plurality of vehicles 20, for each past charge, identification information for identifying the charging station 30 at which charging was performed in the past. The past data DL includes, for each of the plurality of vehicles 20, for each past charge, information indicating whether the past charge is continuous charging. The past data DL includes, for each of the plurality of vehicles 20, for each past charge, information indicating the start charging rate SCR at the start of charging. The past data DL includes, for each of the plurality of vehicles 20, for each past charge, information indicating the charging location CL where charging was performed. The past data DL includes, for each of the plurality of vehicles 20, for each past charge, information indicating the charging weather CW at the time of charging.

[0023] The database DB includes location information LC and weather information WE. The location information LC includes, for each of the charging stations 30, information indicating the type of installation location which is the charging location CL.

[0024] In other words, in the location information LC, the identification information of the charging station 30 is linked to the type of location where the charging station 30 is installed. Examples of installation location types include shopping malls, car dealerships, highway service areas, and public charging facilities.

[0025] The weather information WE includes information indicating the current weather type for each charging station 30. In other words, the weather information WE is linked to information indicating the weather type for each installation location in the identification information of the charging station 30. The weather types include, for example, rainy weather and non-rainy weather.

[0026] The database DB includes the overall continuous charging ratio R1, the continuous charging ratio R2 for each charging rate CR, the continuous charging ratio R3 for each charging location CL, and the continuous charging ratio R4 for each weather condition CW at the time of charging. The database DB also includes information indicating the charging location CL and weather information WE.

[0027] The overall continuous charging ratio R1 is a value calculated based on past data DL. The overall continuous charging ratio R1 is the percentage obtained by dividing the number of times the target vehicle (out of 20 vehicles) has been continuously charged in the past by the number of times the target vehicle has been continuously charged in the past. In other words, the overall continuous charging ratio R1 represents the proportion of vehicles that have been continuously charged, regardless of the charge rate CR at the time of charging, the charging location CL at the time of charging, and the weather conditions CW at the time of charging.

[0028] The continuous charging ratio R2 for each charge rate CR is a value calculated based on past data DL. The continuous charging ratio R2 for each charge rate CR indicates the percentage of target vehicles that underwent continuous charging for each charge rate CR. The continuous charging ratio R2 for each charge rate CR includes the ratios for five cases: charge rate CR less than 20%, charge rate CR 20% or more but less than 40%, charge rate CR 40% or more but less than 60%, charge rate CR 60% or more but less than 80%, and charge rate CR 80% or more.

[0029] The continuous charging ratio R3 for each charging location CL is a value calculated based on past data DL. The continuous charging ratio R3 for each charging location CL indicates the percentage of target vehicles that underwent continuous charging at each charging location CL. The continuous charging ratio R3 for each charging location CL includes the ratios for four cases: when the charging location CL is a shopping mall, when the charging location CL is a service area on a highway, when the charging location CL is a car dealership, and when the charging location CL is a public charging facility.

[0030] The continuous charging ratio R4 for each weather condition CW is a value calculated based on historical data DL. The continuous charging ratio R4 for each weather condition CW indicates the percentage of target vehicles that underwent continuous charging for each weather condition CW. The continuous charging ratio R4 for each weather condition CW includes the ratios for two cases: with rainfall and without rainfall.

[0031] The execution device 43 updates the overall continuous charging ratio R1, the continuous charging ratio R2 for each initial charging rate SCR, the continuous charging ratio R3 for each charging location CL, and the continuous charging ratio R4 for each charging weather CW at predetermined intervals, based on past data DL. The interval is, for example, one day.

[0032] <Prediction of whether or not to continue charging> When the server 40 receives notification from the charging station 30 that charging for a specified time RT has begun, the execution device 43 starts executing the prediction program PR.

[0033] As shown in Figure 3, when the execution device 43 starts executing the prediction program PR, the execution device 43 first performs the process in step S11. In step S11, the execution device 43 identifies a specific vehicle SV, which is the vehicle 20 that has started charging.

[0034] Specifically, the execution device 43 receives a start notification from the charging station 30 indicating that charging for a specified time RT has started, along with identification information of the vehicle 20 that started charging and identification information of the charging station 30. The execution device 43 identifies the specific vehicle SV that started charging from the received identification information of the vehicle 20 that started charging. After that, the execution device 43 proceeds to step S12.

[0035] In step S12, the execution device 43 determines whether the overall continuous charging ratio R1 of the specific vehicle SV is equal to or greater than a predetermined first threshold L1. The first threshold L1 is determined in advance by tests or simulations as the ratio expected to be achieved through continuous charging. The first threshold L1 is, for example, 50%.

[0036] When the overall continuous charging ratio R1 of the specific vehicle SV is equal to or greater than the first threshold L1 (S12: YES), the execution device 43 proceeds to step S13. In step S13, the execution device 43 obtains the charge rate CR of the specific vehicle SV.

[0037] Specifically, the execution device 43 acquires the charge rate CR of vehicle 20, which it received along with the start notification, as the charge rate CR of the specific vehicle SV. After that, the execution device 43 proceeds to step S14.

[0038] In step S14, the execution device 43 determines whether the continuous charging ratio R2 at the charging ratio CR, which is the initial charging ratio SCR for a specific vehicle SV, is greater than or equal to a predetermined second threshold L2. The second threshold L2 is determined in advance by tests or simulations as the ratio expected to occur when continuously charging. The second threshold L2 is, for example, 50%.

[0039] Specifically, the execution device 43 first determines which of the continuous charging ratios R2 for each charging rate CR the acquired charge rate CR of the specific vehicle SV falls into. More specifically, the execution device 43 determines whether the charge rate CR of the specific vehicle SV falls into one of the following categories: less than 20%, 20% or more but less than 40%, 40% or more but less than 60%, 60% or more but less than 80%, or 80% or more. Next, the execution device 43 compares the value of the continuous charging ratio R2 for the charge rate CR in the applicable case with the second threshold L2, using the continuous charging ratio R2 for the charge rate CR of the specific vehicle SV as the continuous charging ratio R2.

[0040] When the continuous charging ratio R2 at the charge rate CR of the specific vehicle SV is equal to or greater than the second threshold L2 (S14: YES), the execution device 43 proceeds to step S15. In step S15, the execution device 43 obtains the charging location CL of the specific vehicle SV.

[0041] Specifically, the execution device 43 first identifies the charging station 30 that is performing the charge from the identification information of the charging station 30 received along with the start notification. Next, the execution device 43 identifies the type of installation location associated with the identified charging station 30. Then, the execution device 43 acquires the identified type of installation location as the charging location CL where the current charge is taking place. After that, the execution device 43 proceeds to step S16.

[0042] In step S16, the execution device 43 determines whether the continuous charging ratio R3 at the charging location CL of the specific vehicle SV is equal to or greater than a predetermined third threshold L3. The third threshold L3 is determined in advance by tests and simulations as the ratio expected to occur when continuously charging. For example, the third threshold L3 is 50%.

[0043] Specifically, the execution device 43 first determines which of the continuous charging ratios R3 for each charging location CL the acquired charging location CL of the specific vehicle SV corresponds to. More specifically, the execution device 43 determines whether the charging location CL of the specific vehicle SV corresponds to a shopping mall, a car dealership, a service area on a highway, or a public charging facility. Next, the execution device 43 compares the value of the continuous charging ratio R3 at the charging location CL in the applicable case with the third threshold L3, using the continuous charging ratio R3 at the charging location CL of the specific vehicle SV as the continuous charging ratio R3.

[0044] When the continuous charging ratio R3 at the charging location CL of the specific vehicle SV is equal to or greater than the third threshold L3 (S16: YES), the execution device 43 proceeds to step S17. In step S17, the execution device 43 obtains information indicating the weather CW at the time of charging of the specific vehicle SV.

[0045] Specifically, the execution device 43 first identifies the charging station 30 that is performing the charge from the identification information of the charging station 30 received along with the start notification. Next, the execution device 43 identifies the weather information associated with the identified charging station 30. Then, the execution device 43 acquires the identified weather as the charging weather CW for the current charge. After that, the execution device 43 proceeds to step S18.

[0046] In step S18, the execution device 43 determines whether the continuous charging ratio R4 of the specific vehicle SV in weather conditions CW is equal to or greater than a predetermined fourth threshold L4. The fourth threshold L4 is determined in advance by tests and simulations as the ratio expected to be achieved through continuous charging. For example, the fourth threshold L4 is 50%.

[0047] Specifically, the execution device 43 first determines whether the weather type indicated by the information showing the weather CW at the time of charging for the specific vehicle SV corresponds to rainy weather or rainless weather. Next, the execution device 43 compares the value of the continuous charging ratio R4 for the applicable weather type with the fourth threshold L4, using the continuous charging ratio R4 for the weather CW at the time of charging for the specific vehicle SV as the continuous charging ratio R4.

[0048] When the continuous charging ratio R4 of the specific vehicle SV under weather conditions CW is greater than or equal to the fourth threshold L4 (S18: YES), the execution device 43 proceeds to step S19. In step S19, the execution device 43 predicts that the specific vehicle SV will be continuously charged. Specifically, the execution device 43 predicts that charging for a specified time RT will be repeated. After that, the execution device 43 proceeds to step S20.

[0049] In step S20, the execution device 43 sends a prediction result indicating continuous charging to the charging station 30. When the charging station 30 receives the prediction result indicating continuous charging, it displays a message on the display 33 indicating that continuous charging is predicted. After that, the execution device 43 terminates this series of processes.

[0050] By the way, when the overall continuous charging ratio R1 of the specific vehicle SV is less than the first threshold L1 (S12: NO), the execution device 43 proceeds to step S21. Also, when the continuous charging ratio R2 at the charging rate CR, which is the initial charging rate SCR of the specific vehicle SV, is less than the second threshold L2 (S14: NO), the execution device 43 proceeds to step S21. Also, when the continuous charging ratio R3 at the charging location CL of the specific vehicle SV is less than the third threshold L3 (S16: NO), the execution device 43 proceeds to step S21. Also, when the continuous charging ratio R4 at the charging weather CW of the specific vehicle SV is less than the fourth threshold L4 (S18: NO), the execution device 43 proceeds to step S21.

[0051] In step S21, the execution device 43 predicts that continuous charging will not occur. Specifically, the execution device 43 predicts that charging at the charging station 30 will end with this charge. After that, the execution device 43 proceeds to step S22.

[0052] In step S22, the execution device 43 sends a prediction result indicating that continuous charging will not be performed to the charging station 30. When the charging station 30 receives the prediction result indicating that continuous charging will not be performed, the charging station 30 displays a message on the display 33 indicating that it predicts that continuous charging will not be performed. After that, the execution device 43 terminates this series of processes.

[0053] In this way, the execution device 43 predicts whether a specific vehicle SV will perform continuous charging based on the continuous charging ratios R1 to R4, the acquired initial charge rate SCR, the charging location CL, and the weather CW at the time of charging. Specifically, the execution device 43 predicts that continuous charging will occur when each of the continuous charging ratios R1 to R4 is above its corresponding threshold. On the other hand, the execution device 43 predicts that continuous charging will not occur when at least one of the continuous charging ratios R1 to R4 is below its corresponding threshold.

[0054] <Effects of this embodiment> (1) The information processing device 42 predicts whether a vehicle 20 charging its battery 23 at a charging station 30 that charges for a predetermined time RT will perform continuous charging, which involves repeatedly charging for a predetermined time RT. The information processing device 42 comprises a storage device 44 and an execution device 43. The storage device 44 stores the continuous charging ratios R1 to R4, which are the ratios of continuous charging performed in the vehicle 20's past charging cycles.

[0055] According to the above configuration, the information processing device 42 predicts whether a specific vehicle SV will perform continuous charging, which involves repeatedly charging for a specified time RT, based on the continuous charging ratios R1 to R4 of the specific vehicle SV. Therefore, the information processing device 42 can predict whether or not continuous charging will be performed for each vehicle 20.

[0056] (2) The storage device 44 stores the continuous charging ratio R2 for each charge rate CR at the start of charging for a specified time RT for each of the multiple vehicles 20. The execution device 43 obtains the initial charge rate SCR when a specific vehicle SV among the multiple vehicles 20 starts charging. When predicting whether the specific vehicle SV will perform continuous charging, the execution device 43 predicts whether the specific vehicle SV will perform continuous charging based on the obtained initial charge rate SCR and the continuous charging ratio R2 at the charge rate CR that becomes the initial charge rate SCR.

[0057] In the above configuration, even if the decision to perform continuous charging differs depending on the initial charge rate SCR when charging a specific vehicle SV for a specified time RT begins, the information processing device 42 can predict whether or not to perform continuous charging according to the initial charge rate SCR.

[0058] (3) The storage device 44 stores the continuous charging ratio R3 for each charging location CL where a specified time RT is performed for each of the multiple vehicles 20. The execution device 43 acquires the charging location CL where a specific vehicle SV among the multiple vehicles 20 has started charging for a specified time RT. When predicting whether the specific vehicle SV will perform continuous charging, the execution device 43 predicts whether the specific vehicle SV will perform continuous charging based on the acquired charging location CL and the continuous charging ratio R3 at the charging location CL.

[0059] In the above configuration, even if continuous charging is performed differently depending on the charging location CL where a specific vehicle SV is charged, the information processing device 42 can predict whether or not to perform continuous charging according to the charging location CL.

[0060] (4) The storage device 44 stores the continuous charging ratio R4 for each weather CW at the time of charging when charging for a specified time RT for each of the multiple vehicles 20. The execution device 43 obtains the weather CW at the time of charging when a specific vehicle SV among the multiple vehicles 20 is charged for a specified time RT. When predicting whether the specific vehicle SV will perform continuous charging, the execution device 43 predicts whether the specific vehicle SV will perform continuous charging based on the obtained weather CW at the time of charging and the continuous charging ratio R4 at the time of charging CW.

[0061] In the above configuration, even if the decision to perform continuous charging differs depending on the weather conditions CW at the time of charging a specific vehicle SV for a specified time RT, the information processing device 42 can predict whether or not to perform continuous charging according to the weather conditions CW at the time of charging.

[0062] (5) The execution device 43 predicts whether or not to perform continuous charging when charging for a specified time RT begins. In the above configuration, the information processing device 42 can predict whether or not a specific vehicle SV will perform continuous charging at the charging station 30 where the specific vehicle SV has started charging.

[0063] <Example of changes> The above embodiment can be implemented with the following modifications. The above embodiment and the following modifications can be combined with each other to the extent that they do not contradict each other technically.

[0064] The information processing device 42 does not necessarily have to be provided by the server 40. For example, the charging station 30 may be equipped with the information processing device 42, or the vehicle 20 may be equipped with the information processing device 42.

[0065] The storage device 44 does not need to store the continuous charging ratio R2 for each initial charge rate SCR. The execution device 43 does not need to acquire the initial charge rate SCR of a specific vehicle SV. When predicting whether a specific vehicle SV will perform continuous charging, the execution device 43 does not need to predict whether a specific vehicle SV will perform continuous charging based on the acquired initial charge rate SCR and the continuous charging ratio R2 at the initial charge rate SCR.

[0066] The storage device 44 does not need to store the continuous charging ratio R3 for each charging location CL. The execution device 43 does not need to acquire the charging location CL of a specific vehicle SV. When predicting whether a specific vehicle SV will perform continuous charging, the execution device 43 does not need to predict whether a specific vehicle SV will perform continuous charging based on the acquired charging location CL and the continuous charging ratio R3 at charging location CL.

[0067] The storage device 44 does not need to store the continuous charging ratio R4 for each weather condition CW at charging. The execution device 43 does not need to acquire the weather condition CW at charging for a specific vehicle SV. When the execution device 43 predicts whether or not a specific vehicle SV will perform continuous charging, it does not need to predict whether or not a specific vehicle SV will perform continuous charging based on the acquired weather condition CW at charging and the continuous charging ratio R4 at the weather condition CW.

[0068] The execution device 43 may predict that a specific vehicle SV will be continuously charged when at least one of the continuous charging ratios R1 to R4 is equal to or greater than the corresponding threshold. In the example shown in Figure 4, the execution device 43 predicts that a specific vehicle SV will be continuously charged when at least one of the continuous charging ratios R1 to R4 is above a corresponding threshold. Specifically, if the execution device 43 makes an affirmative determination in step S12, it proceeds to step S19. On the other hand, if the execution device 43 makes a negative determination in step S12, it proceeds to step S13. Also, if the execution device 43 makes an affirmative determination in step S14, it proceeds to step S19. On the other hand, if the execution device 43 makes a negative determination in step S14, it proceeds to step S15. Also, if the execution device 43 makes an affirmative determination in step S16, it proceeds to step S19. On the other hand, if the execution device 43 makes a negative determination in step S16, it proceeds to step S17.

[0069] The method for predicting whether a specific vehicle SV will be continuously charged based on the continuous charging ratios R1 to R4 is not limited to the example of the above embodiment. For example, the execution device 43 may predict that a specific vehicle SV will be continuously charged regardless of the continuous charging ratios R2 to R4 if the overall continuous charging ratio R1 is equal to or greater than the first threshold L1. In this case, the execution device 43 may also predict that a specific vehicle SV will be continuously charged if the overall continuous charging ratio R1 is less than the first threshold L1, and at least one of the continuous charging ratios R2 to R4 is equal to or greater than the corresponding threshold.

[0070] The storage device 44 stores only one of the continuous charging ratios R1 to R4, and the execution device 43 may predict whether or not to perform continuous charging based on only one of the continuous charging ratios R1 to R4.

[0071] The storage device 44 does not necessarily have to store location information LC and weather information WE. The charging location CL and the weather conditions at the time of charging CW may be identified by a device other than the server 40.

[0072] The charging location CL is not limited to the examples of the above embodiment. The charging location CL may differ for each charging station 30. Also, the charging weather CW is not limited to the examples of the above embodiment. For example, the types of charging weather CW may be sunny, rainy, and cloudy, or they may be different for each temperature.

[0073] The execution device 43 does not need to predict whether or not to perform continuous charging when charging for a specified time RT begins. For example, the execution device 43 may predict whether or not to perform continuous charging by continuing to charge for a specified time RT after one charge for a specified time RT has been completed. [Explanation of Symbols]

[0074] 10…Management System 20... Vehicles 23…Battery 30…Charging Station 40... Server 42…Information Processing Devices 43…Execution device 44…Storage device CL... Charging location CR…Charging rate CW…Weather during charging LC... Location Information R1...Continuous charging ratio R2...Continuous charging ratio R3...Continuous charging ratio R4...Continuous charging ratio RT…Regulated time SCR…Charging rate at start SV...Specific Vehicle

Claims

1. An information processing device that predicts whether a vehicle charging its battery at a charging station that charges for a predetermined period of time will perform continuous charging, which involves repeatedly charging for the predetermined period of time, It comprises a memory device and an execution device, The storage device stores the continuous charging ratio, which is the ratio of continuous charging performed in the vehicle's past charging cycles. The execution device predicts whether or not the vehicle will perform continuous charging based on the continuous charging ratio. Information processing device.

2. The storage device stores the continuous charging ratio for each of the multiple vehicles at the time charging for the specified period begins. The execution device is The initial charge rate is obtained when a specific vehicle among the multiple vehicles starts charging for the specified time. When predicting whether the specified vehicle will perform continuous charging, the prediction is made based on the acquired initial charge rate and the continuous charging ratio at the charge rate that becomes the initial charge rate. The information processing apparatus according to claim 1.

3. The storage device stores the continuous charging ratio for each location where the specified charging time is performed for each of the multiple vehicles. The execution device is Information is obtained indicating a charging location where a specific vehicle among the multiple vehicles will charge for the specified period of time. When predicting whether the specified vehicle will perform continuous charging, the prediction is made based on the acquired information indicating the charging location and the continuous charging ratio at the charging location. The information processing apparatus according to claim 1.

4. The storage device stores the continuous charging ratio for each weather condition when charging for the specified time for each of the multiple vehicles. The execution device is When a specific vehicle among the multiple vehicles performs the specified charging time, information indicating the weather conditions at the time of charging is obtained. When predicting whether the specified vehicle will perform continuous charging, the system predicts whether the specified vehicle will perform continuous charging based on the acquired information indicating the weather conditions at the time of charging and the continuous charging ratio for the weather conditions at the time of charging. The information processing apparatus according to claim 1.

5. The execution device predicts whether or not to perform continuous charging when the predetermined charging time begins. The information processing apparatus according to claim 1.

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