Information processing device, program, and information processing method

Abstract

The present invention automatically determines the type of lending with regard to reuse. In a vehicle lending service for lending vehicles to users, a server 100, which is able to determine a lending type with regard to a vehicle 500 that has been returned by a user, comprises: a first calculation means 113 that, on the basis of information (income and expenses) in accordance with a state value of a battery 506, calculates a subscription profit, which is for a case in which a returned vehicle 500 is lent as a subscription, and a share profit, which is for a case in which said returned vehicle is lent as a car-share; and a determination means 117 that, on the basis of the calculated subscription profit and share profit, determines the lending type of the returned vehicle 500 as a subscription or a car-share.

Description

Information processing device, program, and information processing method

[0001] The present invention relates to an information processing device, a program, and an information processing method for determining whether a returned vehicle can be reused in a vehicle rental service.

[0002] Known services for renting vehicles to users include car leasing (hereinafter also referred to as "leasing"), subscription (hereinafter also referred to as "subscription" or "SB"), rental, and car sharing (hereinafter also referred to as "car sharing" or "CS"). For ease of explanation, a vehicle rented through leasing will be referred to as a "lease vehicle," a vehicle rented through subscription will be referred to as a "subscription vehicle" or "SB vehicle," a vehicle rented through rental will be referred to as a "rental vehicle," and a vehicle rented through car sharing will be referred to as a "shared car" or "CS vehicle." In recent years, this type of service has begun to offer battery-powered electric vehicles (hereinafter referred to as "EVs"). Methods for reusing onboard batteries have been considered. For example, Patent Document 1 discloses a method for diagnosing the deterioration state of an onboard battery and determining and reporting the reuse type of the onboard battery. Furthermore, Patent Document 2 discloses a method for setting a lease fee for a selected type of vehicle, taking into account the respective characteristics of the EV and the onboard battery.

[0003] JP 2021-48663 A JP 2019-95988 A

[0004] However, Patent Document 1 discloses the reuse of onboard batteries, not the reuse of vehicles. Therefore, when a vehicle is returned after the contract period with a user has expired, the service does not anticipate efficient reuse of the returned vehicle. In particular, conventional vehicle rental services do not determine the reuse type of the returned vehicle (e.g., whether to re-rent it as a leased vehicle or a shared vehicle). The lease type selection disclosed in Patent Document 2 is a selection of lease types, such as leasing only the vehicle, leasing only the onboard battery, or leasing the vehicle and onboard battery, but does not involve selecting the rental type when reusing the returned vehicle. Thus, conventional vehicle rental services do not determine the rental type of a returned vehicle. However, efficient reuse of returned vehicles is required as a business, and therefore efficient determination of the rental type based on appropriate criteria is required.

[0005] In view of the above problems, one aspect of the present invention is an information processing device that is capable of determining the rental type of a vehicle returned by a user in a vehicle rental service in which a vehicle is rented to the user, and is equipped with a first calculation means that is capable of calculating a first profit when the returned vehicle is rented out as a first vehicle rental service and a second profit when the returned vehicle is rented out as a second vehicle rental service having a rental period different from that of the first vehicle rental service, based on information corresponding to the state value of the battery installed in the returned vehicle or, if the battery is replaced after the vehicle is returned, the replaced battery, and a determination means that determines the first vehicle rental service or the second vehicle rental service as the rental type of the returned vehicle based on the first profit and the second profit.

[0006] In addition, a program according to another aspect of the present invention causes a computer to execute the steps of calculating a first profit when a returned vehicle is rented out as a first vehicle rental service and a second profit when the returned vehicle is rented out as a second vehicle rental service having a rental period different from that of the first vehicle rental service, based on information corresponding to the condition value of the battery installed in the returned vehicle or, if the battery is replaced after the vehicle is returned, the condition value of the replaced battery, and determining whether the rental type for the returned vehicle is the first vehicle rental service or the second vehicle rental service based on the calculated first profit and second profit.

[0007] In addition, another aspect of the present invention is an information processing method that is capable of determining the rental type of a vehicle returned by a user in a vehicle rental service in which a vehicle is rented to the user, and includes the steps of calculating a first profit when the returned vehicle is rented as a first vehicle rental service and a second profit when the returned vehicle is rented as a second vehicle rental service having a rental period different from that of the first vehicle rental service, based on information corresponding to the condition value of the battery installed in the returned vehicle or, if the battery is replaced after the vehicle is returned, the replaced battery, and determining the first vehicle rental service or the second vehicle rental service as the rental type of the returned vehicle based on the calculated first profit and second profit.

[0008] According to the present invention, the rental type when reusing (re-renting) a vehicle such as an EV can be conveniently determined while improving profits.

[0009] 1 is a schematic diagram of an information processing system according to an embodiment of the present invention; 2 is a hardware configuration diagram of a server; 3 is a hardware configuration diagram of a business operator terminal; 4 is a hardware configuration diagram of a vehicle; 5 is a functional configuration diagram of an information processing system; 6 is a diagram showing the relationship between SOH and cycle count; 7 is a table of coefficients related to service coefficient k1, where (a) is a table of production age coefficient k11, (b) is a table of mileage coefficient k12, (c) is a table of accident coefficient k13, and (d) is a table of order quantity coefficient k14; 8 is a table of coefficients related to subscription coefficient k2, where (a) is a table of production age coefficient k21, (b) is a table of mileage coefficient k22, and (c) is a table of accident coefficient k23. 10 is a table of coefficients related to the share coefficient k3, where (a) is a table of the production years coefficient k31, (b) is a table of the mileage coefficient k32, and (c) is a table of the accident coefficient k33. A rental type determination screen showing the rental type determination result for the vehicle with vehicle ID: a001. A chart showing the breakdown of the rental type determination for the vehicle with vehicle ID: a001. A rental type determination screen showing the rental type determination result for the vehicle with vehicle ID: a002. A chart showing the breakdown of the rental type determination for the vehicle with vehicle ID: a002. A sequence diagram showing the information processing procedure.

[0010] An information processing system 1 according to an embodiment of the present invention will be described. The information processing system 1 is capable of determining the rental type of a vehicle 500 returned by a user (hereinafter also referred to as a "returned vehicle") in a vehicle rental service in which a business operator rents a vehicle 500 to a user. Rental types of vehicles 500 include "lease," "subscription," "car sharing," and "rental." These rental types differ in terms of contract period (usage period), payment method (payment method), fee structure, etc. "Leasing" is a medium- to long-term contract period ranging from six months to ten years, and the user pays a fixed amount annually or monthly (flat rate) as the payment method. "Subscription" is a medium- to long-term contract period similar to leasing, and the user pays a fixed amount monthly (e.g., 35,000 yen per month) as the payment method. "Rental" allows for short-term contracts by the hour, and the user pays a fee based on the amount of usage time after returning the vehicle 500 (pay-as-you-go). "Car sharing" allows for short-term contracts as well as very short-term contracts such as in 15-minute increments, and employs a pay-as-you-go payment method in which the user pays a fee according to the duration of use after returning the vehicle 500. The pay-as-you-go fee is set at 350 yen per 15 minutes. For ease of explanation, the information processing system 1 of this embodiment is assumed to be capable of two types of rental: subscription and car sharing. The operator not only rents out the vehicle 500, but also performs maintenance such as part replacement and repairs.

[0011] 1 is a schematic diagram of an information processing system 1 of the present invention. The information processing system 1 includes a server 100, a business operator terminal 200, and a vehicle 500, which are connected via the Internet 900 so as to be able to communicate with each other.

[0012] The server 100 is an information processing device owned and managed by a management company that operates and manages a vehicle rental service. FIG. 2 is a hardware configuration diagram of the server 100. The server 100 includes a processor 101, a memory 102, a storage 103, and a communication device 104. The processor 101 controls each unit of the server 100 by executing a program, and performs processing to realize the functions of the server 100. The processor 101 may be, for example, a central processing unit (CPU). The memory 102 is a computer-readable recording medium that stores the programs executed by the processor 101. The memory 102 may be, for example, a random access memory (RAM) or a read-only memory (ROM). The storage 103 is a computer-readable recording medium that stores various data and programs used by the processor 101. The storage 103 may be, for example, a hard disk drive (HDD) or a solid state drive (SSD). The communication device 104 is connected to the Internet 900 and performs data communication with the business operator terminal 200 and the vehicle 500 via the Internet 900, for example.

[0013] The business operator terminal 200 is an information terminal installed in a business establishment (e.g., a service station), and is an information terminal such as a personal computer, tablet terminal, or smartphone used by employees of the business establishment. FIG. 3 is a hardware configuration diagram of the business operator terminal 200. The business operator terminal 200 includes a processor 201, a memory 202, a storage 203, an operation device 204, a display device 205, and a communication device 206. The processor 201 controls each unit of the business operator terminal 200 by executing a program, and performs processing to realize the functions of the business operator terminal 200. The processor 201 may be, for example, a CPU. The memory 202 is a computer-readable recording medium that stores the program executed by the processor 201. The memory 202 may be, for example, a RAM or a ROM. The storage 203 is a computer-readable recording medium that stores various data and programs used by the processor 201. The storage 203 may be, for example, a hard disk drive (HDD), a solid state drive (SSD), or a flash memory. The operation device 204 is a device used to operate the business operator terminal 200, and corresponds to, for example, a keyboard or mouse of a personal computer, or a touch panel of a smartphone or tablet terminal. The display device 205 displays various screens. For example, a liquid crystal display is used as the display device 205. The display device 205 may be configured as a touch panel by being integrated with a touch sensor. The communication device 206 is connected to the Internet 900 and performs data communication with the server 100 via the Internet 900.

[0014] The vehicle 500 is a means of transportation rented to a user, and may be an internal combustion engine vehicle, an electric vehicle (hereinafter also referred to as an EV), or other such vehicle. An internal combustion engine vehicle burns fuel such as gasoline and uses the resulting combustion gas to drive an engine, thereby enabling it to travel. An EV is equipped with a storage battery such as a lithium-ion battery (hereinafter also referred to as a battery 506), and is capable of traveling by driving a motor with electricity stored in the storage battery upon charging. In this embodiment, the rented vehicle 500 is an EV.

[0015] There are also EVs called ultra-compact EVs, which are the same size as light vehicles. Examples of ultra-compact EVs include those with a seating capacity of four or less, a maximum speed of 60 km / h or less, a rated output of 0.6 kW or more, a length of 2.5 m or less, a width of 1.3 m or less, a height of 2.0 m or less, and a maximum load capacity of 350 kg or less. The battery 506 provided in an ultra-compact EV has a capacity of 9 to 10 kWh (single cell type), a charging time of 5 to 16 hours, and a driving range of approximately 100 to 150 km when fully charged.

[0016] The state of the EV's battery 506 is managed by an in-vehicle device 501. The in-vehicle device 501 includes a processor 502, a memory 503, a storage 504, and a communication device 505. The processor 502 controls each unit of the in-vehicle device 501 by executing a program, and performs processing to realize the functions of the in-vehicle device 501. The processor 502 may be, for example, a CPU. The memory 503 is a computer-readable recording medium that stores the programs executed by the processor 502. The memory 503 may be, for example, a RAM or a ROM. The storage 504 is a computer-readable recording medium that stores various data and programs used by the processor 502. The storage 504 may be, for example, a hard disk drive (HDD), a solid state drive (SSD), or a flash memory. The communication device 505 performs wireless communication with the server 100 in accordance with a predetermined wireless communication standard (e.g., 4G or 5G such as LTE (Long Term Evolution)). The vehicle-mounted device 501 manages the battery 506 status values, such as the battery capacity and the number of charge / discharge cycles (number of cycles).

[0017] Fig. 5 is a functional configuration diagram of the information processing system 1. (Business Operator Terminal) The business operator terminal 200 is used to input status values ​​related to a returned vehicle, display the rental type when the returned vehicle is re-rented (reused), and the like. As shown in Fig. 5, the business operator terminal 200 includes an operation means 211, a communication means 212, and a display means 213. The functions of the business operator terminal 200 are realized by the processor 201 executing a program, which causes the processor 201 to perform calculations or control each part of the business operator terminal 200.

[0018] The operation means 211 executes various operations on the operation device 204. Specifically, the operation means 211 inputs various information (vehicle information) indicating the status of the returned vehicle in response to an operation of the operation device 204 by an employee of the business operator. As shown in FIG. 7 , the "vehicle information" is information in which information indicating the production year, mileage, accidents, the most recent number of orders, the most recent monthly average operating rate, and replacement parts is linked to each vehicle ID. The upper part of FIG. 7 shows the vehicle information at the time of return of the vehicle 500 with vehicle ID: a001, and the lower part of FIG. 7 shows the vehicle information at the time of return of the vehicle 500 with vehicle ID: a002.

[0019] "Years of production" refers to the number of years since the vehicle 500 was manufactured. "Distance traveled" refers to the distance traveled since the vehicle 500 was manufactured. "Accidents" refers to information indicating whether or not there have been any accidents. "Number of most recent orders" refers to the number of rental orders for the vehicle 500 in the most recent month at the time of return. Note that the "number of most recent orders" is not limited to the most recent month, but may also be the number of orders per month derived from the most recent "week" or "year," for example. The number of orders may basically refer to the number of rentals of the same model of vehicle as the returned vehicle, but may also refer to the number of sales of that model, or may refer to the number of rentals plus the number of sales. "Operating hours in the most recent month" refers to vehicle information for a shared car and refers to the operating hours of the vehicle 500 in the most recent month at the time of return. For example, if the returned vehicle was used as a shared car, the operating hours in the most recent month are calculated by summing the total rental hours per month or the converted hours. If the vehicle-mounted device 501 has a function to output the operating time and operating rate, the "operating time in the most recent month" may be calculated based on the output value and transmitted from the vehicle 500 to the server 100. The average operating time of the same model of vehicle as the returned vehicle may also be used. "Replacement parts" include tires, brake pads, brake oil, batteries (used), etc., and only information on parts that an employee or the like has checked the condition of each part and determined to need replacement ("O" in Figure 7) is treated as replacement parts.

[0020] The communication means 212 includes a transmitting means for transmitting information to the server 100 and a receiving means for receiving information from the server 100. The information transmitted to the server 100 includes vehicle information (FIG. 7) of the returning vehicle input by the operation means 211, and the information received from the server 100 includes rental type information. The display means 213 displays various screens on the display device 205. The display means 213 displays various operation screens (such as a vehicle information input screen) and a rental type determination screen (FIGS. 11 and 13) based on the rental type information received from the server 100.

[0021] (Vehicle) The vehicle 500 is an EV that can be rented out as a subscription vehicle or a shared car. As shown in FIG. 5 , the vehicle 500 includes a calculation means 511 and a communication means 512. The functions of the vehicle 500 (on-board device 501) are realized by the processor 502 performing calculations or controlling each part of the on-board device 501 as a result of the processor 502 executing a stored program. For example, in response to a battery information request from the server 100, the processor 502 calculates battery information.

[0022] The battery information includes the SOH (State of Health) and the number of cycles. The SOH is also referred to as the capacity maintenance rate, which can indicate the deterioration state of the battery capacity, and can be calculated based on the following formula (1): SOH (%) = Current Capacity / Initial Capacity × 100 (1) In response to a request from the server 100, the calculation means 511 calculates the current SOH and stores the calculation result in the storage 504. The number of cycles is the number of times the battery 506 has been charged / discharged. The calculation means 511 calculates the SOH and counts the number of cycles up to the present time of the battery 506. The calculated SOH and the counted number of cycles are associated and stored in the storage 504. The calculation means 511 also periodically calculates the SOH and counts the number of cycles, and each time, associates the SOH with the number of cycles and stores them in the storage 504. That is, in response to a request from server 100, data linking the current SOH with the number of cycles and data linking the previous SOH with the number of cycles are stored as battery information in storage 504. Communication unit 512 receives battery information request information from server 100 and transmits the battery information stored in storage 504 to server 100.

[0023] (Server) The server 100 determines by calculation what type (subscription car or shared car) the returned vehicle should be rented out next. As shown in Fig. 5, the server 100 includes a receiving means 111, a calculating means 112, a transmitting means 118, and a storage means 119. The function of the server 100 is such that the processor 101 executes a program stored in the memory 102 or the storage 103, causing the processor 101 to perform calculations or control each part of the server 100.

[0024] The receiving means 111 receives information transmitted from the business operator terminal 200 (communication means 212), and also receives information transmitted from the vehicle 500 (communication means 512). The information received by the receiving means 111 is output to the calculation means 112. The information received by the receiving means 111 includes vehicle information ( FIG. 7 ) transmitted from the business operator terminal 200 and battery information transmitted from the returned vehicle 500. The transmitting means 118 transmits information to the business operator terminal 200 (communication means 212), and also transmits information to the vehicle 500 (communication means 512). The information transmitted by the transmitting means 118 includes rental type information transmitted to the business operator terminal 200 and battery information request information transmitted to the vehicle 500.

[0025] The storage means 119 stores unchanging fixed amount information in the fixed amount information DB 120. The fixed amount information includes, for example, a subscription fee of 35,000 yen / month, a sharing fee of 350 yen / 15 minutes, and the replacement costs of each part (e.g., tires: 40,000 yen, batteries (used): 200,000 yen, brake pads: 7,000 yen, brake oil: 5,000 yen, etc.). The storage means 119 also stores a table of coefficients (k11 to k14) related to the service coefficient k1, a table of coefficients (k21 to k23) related to the subscription coefficient k2, and a table of coefficients (k31 to k33) related to the share coefficient k3, which will be described later (FIGS. 8 to 10).

[0026] The calculation means 112 executes various calculation processes and includes a first calculation means 113, a second calculation means 114, a third calculation means 115, a fourth calculation means 116, and a determination means 117. The first calculation means 113 calculates the profit (first profit: hereinafter also referred to as "subscription profit") that can be expected when the returned vehicle 500 is rented out as a subscription (first vehicle rental service), and the profit (second profit: hereinafter also referred to as "share profit") that can be expected when the returned vehicle 500 is rented out as a car share (second vehicle rental service) with a rental period different from that of the subscription (first vehicle rental service).

[0027] Specifically, the subscription profit and the share profit are calculated based on the following formulas (2) and (3). Subscription profit = subscription revenue - subscription cost (2) Share profit = share revenue - share cost (3) Then, if the subscription profit calculated using formula (2) is greater than the share profit calculated using formula (3), the determination means 117 determines that the rental type of the returned vehicle is subscription, and conversely, if the share profit is greater than the subscription profit, the determination means 117 determines that the rental type of the returned vehicle is car sharing. In other words, the determination means 117 determines whether the rental type of the returned vehicle 500 is subscription (first vehicle rental service) or car sharing (second vehicle rental service) based on the subscription profit (first profit) and the share profit (second profit).

[0028] We will explain how to calculate "subscription revenue," "share revenue," "subscription cost," and "share cost."

[0029] (Subscription Revenue) "Subscription revenue" is the revenue (sales) that can be expected when a returned vehicle is rented out as a subscription vehicle. Specifically, the subscription revenue can be calculated based on the subscription usage fee, the service coefficient k1, and the battery usable period.

[0030] The "subscription fee" is the fee for using a subscription vehicle when the vehicle is new, and is "35,000 yen / month" that is stored in advance in the fixed amount information DB120.

[0031] The "service coefficient k1" is a coefficient used to calculate the usage fee after refreshing a returned vehicle, and varies in the range of 0 to 1.0 depending on the condition of the vehicle 500. The service coefficient k1 is smaller the shorter the production age, the shorter the mileage, the fewer accidents there are, and the larger the number of recent orders. The service coefficient k1 can be calculated, for example, using the following formula (4): k1=1-production age coefficient k11-mileage coefficient k12-accident coefficient k13-order number coefficient k14... (4)

[0032] As shown in FIG. 8(a), the "production years coefficient k11" is selected, for example, from the range of 0 to 0.3 depending on the number of years of production. As shown in FIG. 8(b), the "mileage coefficient k12" is selected, for example, from the range of 0 to 0.3 depending on the mileage. As shown in FIG. 8(c), the "accident coefficient k13" is set to 0 for "no accident" and 0.1 for "accident". As shown in FIG. 8(d), the "order number coefficient k14" is selected, for example, from the range of 0.05 to 0.2 depending on the number of most recent orders (the number of most recent loans).

[0033] The information required to calculate the service coefficient k1 (production year, mileage, whether or not there have been any accidents, and number of most recent orders) is included in the vehicle information received from the business operator terminal 200. For example, as shown in the upper part of FIG. 7, the vehicle 500 with vehicle ID: a001 has a production year of 1.5 years, a mileage of 20,000 km, no accidents, and 20 most recent orders. Therefore, by referencing the tables in FIGS. 8(a) to 8(d), k1 = 1 - 0.05 - 0.05 - 0 - 0.05 = "0.85." Also, as shown in the lower part of FIG. 7, the vehicle 500 with vehicle ID: a002 has a production year of 4 years, a mileage of 70,000 km, no accidents, and 15 most recent orders. Therefore, by referencing the tables in FIGS. 8(a) to 8(d), k1 = 1 - 0.1 - 0.1 - 0 - 0.05 = "0.75." If the calculation result of k1 is less than 0, k1=0 should be set.

[0034] (Battery Usable Period) The second calculation means 114 calculates the usable period of the battery 506 based on the SOH, which is a state value of the battery 506. That is, the second calculation means 114 calculates the battery usable period, which is the remaining usable period from the present until the end of the life of the battery 506, based on the SOH of the battery 506. In the vehicle rental service of this embodiment, if the SOH of the battery 506 is equal to or greater than a specified reference value (75%), the battery 506 can be refreshed (for example, by replacing the electrolyte or electrodes) and used as is.

[0035] In other words, the battery 506 is determined to have reached the end of its service life when its SOH reaches 75%, and the remaining usable time up to that point is considered the battery usable time. The reference value is not limited to 75% and can be set to any value, such as 80%. If the SOH is below the reference value, the battery 506 is replaced. In this case, the battery usable time may be calculated based on the SOH of the replaced battery 506. For example, when replacing the battery with a used battery, the battery usable time may be calculated based on the SOH of the used battery. When replacing the battery with a new battery, a fixed period (e.g., five years) may be set as the battery usable time for convenience, and this may be excluded from the scope of the present invention. When replacing the battery, it is considered preferable to calculate the battery usable time based on the replaced battery 506. However, since the present invention compares subscription and sharing using the same battery 506, the comparison does not affect the magnitude of revenue whether the original battery 506 or the replaced battery 506 is used, and therefore either one may be used depending on convenience.

[0036] A battery 506 that does not meet the standard value can be used for other purposes (for example, as a stationary storage battery or recycled). For example, if the SOH is less than 75%, the battery can be reused as a stationary storage battery, and if the SOH is less than 50%, the battery can be disassembled and recycled into each material. In this way, the determination unit 117 can be executed when the SOH of the battery 506 installed in the returned vehicle 500 is within a threshold value (for example, 75% or more).

[0037] As shown in FIG. 6 , the SOH has a characteristic of gradually decreasing in a curve as the number of cycles increases. Therefore, a prediction formula approximating this characteristic can be derived. The prediction formula can be derived by fitting (X, Y) = (number of cycles, SOH), expressed with the X axis representing the number of cycles and the Y axis representing the SOH, to, for example, an exponential approximation, a logarithmic approximation, or a power approximation. For example, the prediction formula can be derived by inputting (X, Y) into known software such as a spreadsheet. According to this prediction formula, by substituting SOH: 75%, the number of cycles until the SOH drops to 75% (life cycle number) can be calculated. Then, by subtracting the number of cycles up to the present (current cycle number) from the life cycle number, the number of remaining cycles until the SOH drops to 75% can be calculated. Regarding the frequency of charging EVs, a survey found that 70% of people charge their vehicles zero to two times per week, with most people charging about twice a week. This calculates that the number of cycles in one month is 8 (= 2 times x 4 weeks), so by dividing the remaining number of cycles by the number of cycles in one month (monthly cycle number), the number of months (estimated value) of the "battery usable period" can be calculated.

[0038] In the information processing system 1 of this embodiment, the server 100 connects to the vehicle 500 upon receiving a request from the business operator terminal 200 and generates a prediction formula based on battery information (including the SOH and cycle count) received from the vehicle 500. The server 100 then calculates the life cycle count based on the generated prediction formula and calculates the battery usable life based on the remaining cycle count obtained by subtracting the current cycle count from the life cycle count. Assume that the battery usable life of the returned vehicle with vehicle ID: a001 is calculated to be 36 months, and the battery usable life of the returned vehicle with vehicle ID: a002 is calculated to be 60 months. In other words, in this example, although the onboard battery 506 is replaced with another (used) battery as described below, the battery usable life is calculated based on the status values ​​of the onboard battery 506.

[0039] Specifically, subscription revenue can be calculated based on the following formula (5): Subscription revenue = subscription usage fee x service coefficient k1 x battery usable period (5) The subscription revenue for vehicle 500 with vehicle ID: a001 is calculated to be 1,071,000 yen (= 35,000 yen x 0.85 x 36 months). The subscription revenue for vehicle 500 with vehicle ID: a002 is calculated to be 1,575,000 yen (= 35,000 yen x 0.75 x 60 months).

[0040] (Sharing Revenue) "Sharing revenue" is the revenue (sales) that can be expected when renting out a returned vehicle as a shared car. Specifically, sharing revenue can be calculated based on the sharing usage fee and the battery's usable life. The "sharing usage fee" uses "350 yen / 15 minutes" previously stored in the fixed amount information DB 120, converted into an hourly usage fee of "1,400 yen / hour." Here, the server 100 calculates the monthly sharing usage fee using the most recent monthly operating time (operating time in the most recent month) received from the business operator terminal 200. If the returned vehicle's most recent monthly operating time is 18 hours, the monthly sharing usage fee is calculated as 25,200 yen (= 1,400 yen / month x 18 hours). Specifically, sharing revenue can be calculated based on the following formula (6). Share revenue = Share usage fee × Battery usable period (6) Therefore, the share revenue of vehicle 500 with vehicle ID: a001 is calculated to be 907,200 yen (= 25,200 yen × 36 months). Also, the share revenue of vehicle 500 with vehicle ID: a002 is calculated to be 1,512,000 yen (= 25,200 yen × 60 months).

[0041] (Subscription Cost) The subscription cost corresponds to the cost required to reuse a returned vehicle as a subscription vehicle. The subscription cost is calculated based on the cost of replacing parts and the subscription coefficient (first coefficient) k2.

[0042] The "parts replacement cost" is the amount required to replace the "replacement part" included in the vehicle information received from the business operator terminal 200. For example, as shown in FIG. 7, both the vehicle 500 with vehicle ID: a001 and the vehicle 500 with vehicle ID: a002 require tire replacement, and the battery 506 needs to be replaced with a new battery. Therefore, by referencing the replacement costs (tire: 40,000 yen, re-battery (used): 200,000 yen) from the fixed amount DB 120, the total replacement cost is calculated to be 240,000 yen.

[0043] The "subscription coefficient k2" is a coefficient used to calculate the cost of refreshing a returned vehicle, and is both a variable value and a state value that varies between 0 and 1.0 depending on the state of the vehicle 500. The subscription coefficient (first coefficient) k2 is set to a larger value than the share coefficient (second coefficient) k3. This is because the usage period for subscriptions is longer than for car sharing, and the risk of increased costs must be taken into consideration. The subscription coefficient k2 is similar to the service coefficient k1 in that it is smaller the fewer years of production, the shorter the mileage, and the fewer accidents there are. However, since it does not vary depending on the number of recent orders, there is no recent order number coefficient. This is because the number of orders is related to expected profits but not to costs.

[0044] The subscription coefficient k2 can be calculated, for example, using the following formula (7): k2 = 1 - production age coefficient k21 - mileage coefficient k22 - accident coefficient k23 (7) As shown in FIG. 9( a), the "production age coefficient k21" is selected, for example, from the range of 0 to 0.3 depending on the production age. As shown in FIG. 9( b), the "mileage coefficient k22" is selected, for example, from the range of 0 to 0.3 depending on the mileage. As shown in FIG. 9( c), the "accident coefficient k23" is set to 0 for "no accident" and 0.1 for "accident." The information required to calculate the subscription coefficient k2 (production age, mileage, and whether or not there has been an accident) is included in the vehicle information received from the business operator terminal 200. For example, as shown in the upper part of FIG. 7, vehicle 500 with vehicle ID: a001 has a production age of 1.5 years, a mileage of 20,000 km, and no accidents. Therefore, by referring to the tables of FIGS. 9(a) to 9(c), k2 is calculated as k2 = 1 - 0.05 - 0.05 - 0 = "0.9". Also, as shown in the lower part of FIG. 7, vehicle 500 with vehicle ID: a002 has a production age of 4 years, a mileage of 70,000 km, and no accidents. Therefore, by referring to the tables of FIGS. 9(a) to 9(c), k2 is calculated as k2 = 1 - 0.1 - 0.1 - 0 = "0.8". Note that if the calculation result of k2 is less than 0, k2 should be set to 0.

[0045] Specifically, the subscription cost can be calculated based on the following formula (8): Subscription cost = Total replacement cost × Subscription coefficient k2 (8) The subscription cost for vehicle 500 with vehicle ID: a001 is calculated to be 216,000 yen (= 240,000 yen × 0.9). The subscription cost for vehicle 500 with vehicle ID: a002 is calculated to be 192,000 yen (= 240,000 yen × 0.8).

[0046] (Share Cost) The share cost corresponds to the cost required to reuse a returned vehicle as a shared car. The share cost is calculated based on the cost of replacing parts and the share coefficient (second coefficient) k3.

[0047] The "parts replacement cost" is the amount required to replace the "replacement part" included in the vehicle information received from the business operator terminal 200. For example, as shown in FIG. 7, both the vehicle 500 with vehicle ID: a001 and the vehicle 500 with vehicle ID: a002 require tire replacement, and the battery 506 needs to be replaced with a new battery. Therefore, by referencing the replacement costs (tire: 40,000 yen, battery (used): 200,000 yen) from the fixed amount DB 120, the total replacement cost is calculated to be 240,000 yen.

[0048] The "share coefficient k3" is a coefficient used to calculate the cost of refreshing a returned vehicle, and is both a variable value ranging from 0 to 1.0 depending on the condition of the vehicle 500 and a state value. The share coefficient (second coefficient) k3 is set to a smaller value than the subscription coefficient (first coefficient) k2. This is because the usage period for car sharing is shorter than for subscriptions, so there is no need to consider the risk of increased costs. The share coefficient k3 is similar to the service coefficient k1 and subscription coefficient k2 in that it is smaller the shorter the production year, the shorter the mileage, and the fewer accidents there are. However, the most recent order number coefficient is not used because it does not fluctuate depending on the number of most recent orders. This is because the number of orders is an indicator related to expected profits but is not related to costs.

[0049] The share coefficient k3 can be calculated, for example, using the following equation (9): k3 = 1 - production years coefficient k31 - mileage coefficient k32 - accident coefficient k33 (9) As shown in FIG. 10(a), the "production years coefficient k31" is selected, for example, from a range of 0 to 0.8 depending on the number of years of production. Comparing FIG. 9(a) with FIG. 10(a), it can be seen that the production years coefficient k31 is set to a larger value than the production years coefficient k21. As shown in FIG. 10(b), the "mileage coefficient k32" is selected, for example, from a range of 0 to 0.8 depending on the number of miles traveled. Comparing FIG. 9(b) with FIG. 10(b), it can be seen that the mileage coefficient k32 is set to a larger value than the mileage coefficient k22. As shown in FIG. 10(c), the "accident coefficient k33" is set to 0 for "no accident" and 0.1 for "accident." The information required to calculate the share coefficient k3 (production year, mileage, and whether or not there has been an accident) is included in the vehicle information received from the business operator terminal 200.

[0050] For example, as shown in the upper part of FIG. 7, vehicle 500 with vehicle ID: a001 has a production age of 1.5 years, a mileage of 20,000 km, and no accidents. Therefore, by referring to the tables in FIGS. 10(a) to 10(c), k3 is calculated as k3 = 1 - 0.2 - 0.2 - 0 = "0.6". Also, as shown in the lower part of FIG. 7, vehicle 500 with vehicle ID: a002 has a production age of 4 years, a mileage of 70,000 km, and no accidents. Therefore, by referring to the tables in FIGS. 10(a) to 10(c), k3 is calculated as k3 = 1 - 0.4 - 0.4 - 0 = "0.2". Note that if the calculation result of k3 is less than 0, k3 should be set to 0.

[0051] Specifically, the share cost can be calculated based on the following formula (10): Share cost = Total replacement cost × Share coefficient k3 (10) The share cost of vehicle 500 with vehicle ID: a001 is calculated to be 144,000 yen (= 240,000 yen × 0.6). The share cost of vehicle 500 with vehicle ID: a002 is calculated to be 48,000 yen (= 240,000 yen × 0.2).

[0052] (Determining the rental type of vehicle 500 with vehicle ID: a001) The server 100 calculates the subscription profit and share profit of vehicle 500 with vehicle ID: a001 based on the above formulas (2) and (3). Subscription profit = 1,071,000 yen - 216,000 yen = 855,000 yen Share profit = 907,200 yen - 144,000 yen = 763,200 yen Since subscription profit is greater than share profit, the determination means 117 determines that the rental type for reuse is "subscription." The transmission means 118 of the server 100 transmits rental type information indicating the determination result to the business operator terminal 200. This allows the business operator terminal 200 (communication means 212) to receive the rental type information, and the display means 213 to display the rental type information on the display device 205.

[0053] FIG. 11 is an example of a display screen (rental type determination screen) indicating that the rental type of the vehicle 500 with vehicle ID: a001 has been determined to be a subscription. This allows the business operator to understand that if the vehicle 500 with vehicle ID: a001 is to be reused, it would be preferable to rent it out as a subscription vehicle. The rental type determination screen is generated so that a specific portion (the "here" portion in FIG. 11) is clickable, and clicking this portion displays the details of the rental type determination. FIG. 12 is a chart showing the details of the rental type determination for the vehicle 500 with vehicle ID: a001. This allows the business operator to check the details of the determination, for example, to notice an error in the vehicle information entered by the business operator, and use this information as a reference when re-entering the vehicle information or actually determining the rental type.

[0054] The server 100 calculates the subscription profit and share profit for the vehicle 500 with vehicle ID: a002 based on the above formulas (2) and (3). Subscription profit = 1,575,000 yen - 192,000 yen = 1,383,000 yen Share profit = 1,512,000 yen - 48,000 yen = 1,464,000 yen. Since the subscription profit is less than the share profit, the determination means 117 of the server 100 determines the rental type for reuse as "car sharing." Figure 13 is an example of a display screen (rental type determination screen) indicating that the rental type for the vehicle 500 with vehicle ID: a002 has been determined to be car sharing. Figure 14 is a chart showing the breakdown of the rental type determination for the vehicle 500 with vehicle ID: a002. In addition, if both the subscription profit and the share profit are negative, it may be determined not to reuse the vehicle 500 but to reuse (re-rent or recycle) the battery alone.

[0055] In this way, the server 100 is configured so that the first calculation means 113 calculates revenues (subscription revenues and share revenues) based on the battery usable period calculated based on the SOH, etc., of the battery 506 installed in the returned vehicle or, in the case of a battery replacement after the vehicle is returned, of the replaced battery 506, and calculates the subscription profit and share profit based on information on these revenues and expenses (subscription costs and share costs). In other words, the first calculation means 113 calculates revenues based on the battery usable period derived from the SOH and cycle count, which are state values ​​of the battery 506, and calculates the subscription profit (first profit) and share profit (second profit) based on the revenues and expenses. In addition, the subscription (first vehicle rental service) is a type of vehicle rental service in which the rental period of the vehicle 500 is longer than the rental period of the vehicle 500 in the car sharing (second vehicle rental service), and the first calculation means 113 calculates the subscription profit (first profit) based on the subscription cost and subscription revenue calculated based on the subscription coefficient (first coefficient), which is a variable value, and calculates the share profit (second profit) based on the share cost and share revenue calculated based on the share coefficient (second coefficient) which is smaller than the subscription coefficient (first coefficient).

[0056] Specifically, the information processing system 1 and the server 100 are equipped with a third calculation means 115 that calculates subscription revenue (first revenue) and share revenue (second revenue), and a fourth calculation means 116 that calculates subscription costs (first expenses) and share costs (second expenses), and the first calculation means 113 calculates subscription profits (first profits) based on the subscription revenues (first revenues) and subscription costs (first expenses), and calculates share profits (second profits) based on the share revenues (second revenues) and share costs (second expenses).

[0057] (Information Processing Procedure) The information processing procedure of the present invention will be described with reference to FIG. 15. FIG. 15 is a sequence diagram showing the procedure (steps) in the program operation and information processing method of the present invention. It is assumed that the server 100 has previously stored a fixed amount information DB 120 (subscription usage fee: 35,000 / month, shared usage fee: 350 yen / 15 minutes, replacement costs for each part (e.g., tires: 40,000 yen, battery (used): 200,000 yen, brake pads: 7,000 yen, brake oil: 5,000 yen, etc.)). The following shows an example of processing after the return of vehicle 500 with vehicle ID: a001.

[0058] 15, first, the operator operates the operator terminal 200 to input vehicle information of the vehicle 500 with vehicle ID a001 (S101). As a result, the vehicle information shown in the upper part of FIG. 7 is transmitted from the operator terminal 200 to the server 100.

[0059] When the server 100 receives the vehicle information from the business operator terminal 200, it executes a battery information request to the vehicle 500 (S102). As a result, the server 100 transmits battery information request information to the vehicle 500 identified by the vehicle ID: a001. In response to receiving the battery information request information, the vehicle 500 transmits battery information to the server 100.

[0060] Next, the server 100 calculates the battery usable life (S103). Specifically, the server 100 generates a prediction formula based on the history of the SOH and the number of cycles included in the battery information received from the vehicle 500, calculates the number of life cycles, subtracts the current number of cycles from the number of life cycles to calculate the number of remaining cycles, and calculates the battery usable life by subtracting the most recent monthly operating time from the number of remaining cycles.

[0061] Next, the server 100 calculates the expected revenue for the subscription car sharing (S104). That is, the subscription revenue and the share revenue are calculated. The subscription revenue is calculated based on the above formula (5), and the share revenue is calculated based on the above formula (6). As a result, the subscription revenue for the vehicle 500 with vehicle ID: a001 is calculated to be 1,071,000 yen, and the share revenue is calculated to be 763,200 yen.

[0062] Next, the server 100 calculates the reuse cost for subscription car sharing (S105). That is, the subscription cost and the share cost are calculated. The subscription cost is calculated based on the above formula (8), and the share cost is calculated based on the above formula (10). As a result, the subscription cost for the vehicle 500 with vehicle ID: a001 is calculated to be 216,000 yen, and the share cost is calculated to be 144,000 yen.

[0063] The server 100 determines the rental type of the returned vehicle (S106). Specifically, the subscription profit is calculated based on the above formula (2), and the share profit is calculated based on the above formula (3). For the vehicle 500 with vehicle ID: a001, the subscription profit (855,000 yen) is greater than the share profit (763,200 yen), so the rental type is determined to be subscription.

[0064] The server 100 transmits the rental type information, which is the determination result, to the business operator terminal 200. When the business operator terminal 200 receives the rental type information transmitted from the server 100, the display means 213 displays the rental type information on the display device 205 (FIG. 11).

[0065] In this way, in the program of the present invention, the program is configured to execute the following steps: calculate a first profit (subscription profit) when the returned vehicle 500 is rented out as a first vehicle rental service (subscription), and a second profit (share profit) when the returned vehicle 500 is rented out as a second vehicle rental service (car sharing) having a rental period different from that of the first vehicle rental service, based on information (revenue and expenses) corresponding to the status value of the battery 506 installed in the returned vehicle 500, or the replaced battery 506 if the battery is replaced after the vehicle is returned; and determine the first vehicle rental service (subscription) or the second vehicle rental service (car sharing) as the rental type for the returned vehicle 500 based on the calculated first profit (subscription profit) and second profit (share profit).

[0066] In addition, the information processing method of the present invention executes the following steps: calculating a first profit (subscription profit) when the returned vehicle 500 is rented out as a first vehicle rental service (subscription) and a second profit (share profit) when the returned vehicle 500 is rented out as a second vehicle rental service (car sharing) having a rental period different from that of the first vehicle rental service, based on information (revenue and expenses) corresponding to the status value of the battery 506 installed in the returned vehicle 500 or, if the battery is replaced after the vehicle is returned, the replaced battery 506; and determining whether the rental type for the returned vehicle 500 is the first vehicle rental service (subscription) or the second vehicle rental service (car sharing) based on the calculated first profit (subscription profit) and second profit (share profit).

[0067] [Variations] Part of the configuration of the information processing system 1 described above can also be provided externally. For example, some or all of the calculation means provided in the server 100 can be provided in an external device, and the server 100 can determine the rental type based on the calculation results obtained from the external device. Specifically, the subscription profit and share profit can be calculated in the external device, and the calculated values ​​can be input to the server 100 using a predetermined method (for example, wireless or wired communication processing or a method via a USB memory, etc.) and stored in a storage device (such as storage 103), and the determination means 117 can determine the rental type based on the subscription profit and share profit stored in this storage device.

[0068] The program operation is to have the computer perform the following steps: receive information (revenue and expenses) based on the status value of the battery 506 installed in the returned vehicle 500, or the replaced battery 506 if the battery is replaced after the vehicle is returned, to determine the first profit (subscription profit) when the returned vehicle 500 is rented out as a first vehicle rental service (subscription) and the second profit (share profit) when the returned vehicle 500 is rented out as a second vehicle rental service (car sharing) with a different rental period from the first vehicle rental service; and store the information based on the status value of the battery 506 in a storage device (storage 103); and determine whether the rental type for the returned vehicle 500 is the first vehicle rental service (subscription) or the second vehicle rental service (car sharing) based on the first profit (subscription profit) and the second profit (share profit) stored in the storage device.

[0069] The information processing method may include the steps of receiving information (revenue and expenses) based on the status value of the battery 506 installed in the returned vehicle 500, or the replaced battery 506 if the battery is replaced after the vehicle is returned, and storing the information based on the status value of the battery 506 in a storage device (storage 103), which provides a first profit (subscription profit) when the returned vehicle 500 is rented out as a first vehicle rental service (subscription) and a second profit (share profit) when the returned vehicle 500 is rented out as a second vehicle rental service (car sharing) having a rental period different from that of the first vehicle rental service, and storing the information based on the status value of the battery 506 in a storage device (storage 103); and determining whether the rental type for the returned vehicle 500 is the first vehicle rental service (subscription) or the second vehicle rental service (car sharing) based on the first profit (subscription profit) and the second profit (share profit) stored in the storage device (storage 103).

[0070] As described above, in the information processing system 1 of this embodiment, the server 100 is an information processing device that can determine the rental type of a vehicle 500 returned by a user in a vehicle rental service that rents out a vehicle 500 to a user, and is equipped with a first calculation means 113 that can calculate a first profit (subscription profit) when the returned vehicle is rented out as a first vehicle rental service (subscription) and a second profit (share profit) when the returned vehicle is rented out as a second vehicle rental service (car sharing) having a rental period different from that of the first vehicle rental service, based on information (revenue and expenses) corresponding to the status value of the battery 506 equipped in the returned vehicle 500 or, if the battery is replaced after the vehicle is returned, the replaced battery 506, and a determination means 117 that determines whether the rental type of the returned vehicle 500 is the first vehicle rental service (subscription) or the second vehicle rental service (car sharing) based on the first profit (subscription profit) and the second profit (share profit). With this configuration, the type of rental of the vehicle 500 for reuse can be easily determined based on the state of the battery 506.

[0071] Furthermore, the first calculation means 113 calculates the first profit (subscription profit) based on information (costs (subscription costs) and revenues (subscription revenues)) corresponding to a first coefficient (subscription coefficient), which is a variable value, and calculates the second profit based on information (costs (share costs) and revenues (share revenues)) corresponding to a second coefficient (share coefficient) that is smaller than the first coefficient. In this way, the subscription cost and share cost are calculated using a coefficient indicating the state of the vehicle 500, and the subscription profit and share profit are calculated using these together with the subscription revenue and share revenues to determine the rental type. Therefore, the rental type can be determined based on appropriate criteria that comprehensively take into account the state of the vehicle 500 and the state of the battery 506 at the time of return. Furthermore, while the subscription coefficient and share coefficient are directly used to calculate the subscription cost and share cost, by setting the share coefficient to a value smaller than the subscription coefficient (i.e., setting the subscription coefficient to a value larger than the share coefficient), it is possible to avoid increased costs and resulting reduced profits in subscriptions that involve long-term use.

[0072] More specifically, the server 100 includes a third calculation means 115 that calculates subscription revenue (first revenue) when the returned vehicle 500 is rented out as a subscription (first vehicle rental service) and share revenue (second revenue) when the returned vehicle 500 is rented out as a car share (second vehicle rental service), and a fourth calculation means 116 that calculates subscription costs (first expenses) when the returned vehicle 500 is rented out as a subscription (first vehicle rental service) and share costs (second expenses) when the returned vehicle 500 is rented out as a car share (second vehicle rental service). The first calculation means 113 calculates subscription profits (first profits) based on the subscription revenues (first revenues) and the subscription costs (first expenses), and calculates share profits (second profits) based on the share revenues (second revenues) and the share costs (second expenses). This makes it possible to determine the rental types that can contribute more to business profits. In other words, the present invention calculates subscription profits and share profits by subtracting reuse costs from expected revenues, and determines the rental type based on which of these is larger, allowing businesses to reuse EVs while earning relatively high profits.

[0073] While the preferred embodiments of the present invention have been described above, the present invention is not limited to the above-described embodiments, and various modifications are possible within the scope of the present invention. For example, while the vehicle rental service has been described in which the rental type can be selected from either subscription or car sharing, it is also possible to select some or all of leasing, subscription, rental, and car sharing.

[0074] The configuration of the information processing system 1 is not limited to the above-described embodiment, and some or all of the configuration of one device may be provided by another component device. Furthermore, the procedures of the information processing method are not limited to the above-described procedures, and some of the procedures may be modified. For example, some or all of the vehicle information may be managed in the vehicle 500 and output to the server 100 upon return. Battery information (except at the time of return) may be periodically output to the server 100 and managed by the server 100.

[0075] Furthermore, a coefficient indicating the degree of deterioration of the exterior and interior of the vehicle 500 can also be added to the service coefficient. In the above-described embodiment, a table was used in which the same values ​​were assigned to the coefficients (k11 to k13) related to the service coefficient k1 and the coefficients (k21 to k23) related to the subscription coefficient k2, but some or all of these may not be the same. In other words, the service coefficient k1 is a condition value of the returned vehicle required to calculate revenue, and the subscription coefficient k2 and share coefficient k3 are also condition values ​​required to calculate the subscription cost.

[0076] Because a correlation can be inferred between the SOH and the number of cycles for the battery 506, a prediction model may be generated by learning a large number of sets of data on these. By doing so, the number of life cycles can be calculated by inputting the life SOH (75%) into the prediction model, and the battery's usable life can be calculated based on the number of remaining cycles calculated based on the number of life cycles and the current number of cycles. Furthermore, because the SOH-number of cycles characteristic is also correlated with the ambient temperature, the ambient temperature can be added to the data set in addition to the SOH and number of cycles. In this case, data sets of the SOH, number of cycles, and temperature can be sequentially acquired, and these can be learned to generate a prediction model capable of outputting the number of life cycles.

[0077] When replacing an in-vehicle battery with a used battery, the status value of the used battery can be stored in advance in the storage 103 of the server 100, taking into consideration the calculation of the battery's usable life based on the used battery. Furthermore, the rental targets are not limited to EVs, but also include other means of transportation powered by a battery (for example, electric motorcycles). Furthermore, since batteries are also installed in general vehicles such as internal combustion engine vehicles, not just EVs, such general vehicles can also be included in the rental targets. The usage fee may include a membership fee to calculate subscription revenue and share revenue. While the target vehicle is a rented vehicle 500, the rental type may also be determined by applying similar criteria when renting out a new or used vehicle for the first time.

[0078] 1: Information processing system, 100: Server, 101: Processor, 102: Memory, 103: Storage, 104: Communication device, 111: Receiving means, 112: Calculating means, 113: First calculation means, 114: Second calculation means, 115: Third calculation means, 116: Fourth calculation means, 117: Determining means, 118: Transmitting means, 119: Storage means, 120: Fixed amount information DB, 200: Business operator terminal, 201: Processor, 202: Memory, 203: Storage, 204: Operation device, 205: Display device, 206: Communication device, 211: Operation device Stage, 212: communication means, 213: display means, 500: vehicle, 501: on-board device, 502: processor, 503: memory, 504: storage, 505: communication device, battery: 506, 511: calculation means, 512: communication means, k1: service coefficient, k11: production years coefficient, k12: mileage coefficient, k13: accident coefficient, k14: order number coefficient, k2: subscription coefficient, k21: production years coefficient, k22: mileage coefficient, k23: accident coefficient, k3: share coefficient, k31: production years coefficient, k32: mileage coefficient, k33: accident coefficient

Claims

1. In a vehicle rental service that rents vehicles to users, an information processing device capable of determining the rental type for a vehicle returned by the user, comprising: a first calculation means capable of calculating a first profit when the returned vehicle is rented as a first vehicle rental service and a second profit when the returned vehicle is rented as a second vehicle rental service having a different rental period from the first vehicle rental service, based on information corresponding to the state value of a battery provided in the returned vehicle or, in the case of battery replacement after vehicle return, the battery after replacement; a determination means for determining the first vehicle rental service or the second vehicle rental service as the rental type for the returned vehicle based on the first profit and the second profit. An information processing device characterized by comprising the above.

2. The state value of the battery is SOH (State Of Health), and it comprises a second calculation means for calculating the remaining service life of the battery based on the SOH, The information processing device according to claim 1, wherein the first calculation means is capable of calculating the first profit and the second profit based on information corresponding to the remaining service life of the battery.

3. The first vehicle rental service is a type of vehicle rental service in which the rental period of the vehicle is longer than the rental period of the vehicle in the second vehicle rental service, The information processing device according to claim 1 or 2, wherein the first calculation means is capable of calculating the first profit based on information corresponding to a first coefficient which is a variable value, and calculating the second profit based on information corresponding to a second coefficient smaller than the first coefficient.

4. The information processing device according to claim 1 or 2, wherein the determination means is executed when the SOH (State Of Health) of the battery provided in the returned vehicle is included in a threshold value.

5. The information based on the state value of the battery includes a first revenue when the returned vehicle is rented as the first vehicle rental service and a second revenue when the returned vehicle is rented as the second vehicle rental service, There is a first cost as the cost when the returned vehicle is rented as the first vehicle rental service, and a second cost as the cost when the returned vehicle is rented as the second vehicle rental service, a third calculation means for calculating the first revenue and the second revenue; Fourth calculation means for calculating the first cost and the second cost, and the first calculation means calculates the first profit based on the first revenue and the first cost, and calculates the second profit based on the second revenue and the second cost. The information processing apparatus according to claim 1 or 2, characterized in that

6. In a computer a step of calculating a first profit when the returned vehicle is lent out as a first vehicle lending service and a second profit when the returned vehicle is lent out as a second vehicle lending service having a lending period different from that of the first vehicle lending service, based on information corresponding to the state value of the battery provided in the returned vehicle or, in the case of battery replacement after vehicle return, the battery after replacement; and a step of determining the first vehicle lending service or the second vehicle lending service as the lending type for the returned vehicle based on the calculated first profit and the second profit. A program characterized by causing the steps to be executed

7. In a computer a step of receiving information based on the state value of the battery provided in the returned vehicle or, in the case of battery replacement after vehicle return, the battery after replacement, calculating a first profit when the returned vehicle is lent out as a first vehicle lending service and a second profit when the returned vehicle is lent out as a second vehicle lending service having a lending period different from that of the first vehicle lending service, and storing the information based on the state value of the battery in a storage device; and a step of determining the first vehicle lending service or the second vehicle lending service as the lending type for the returned vehicle based on the first profit and the second profit stored in the storage device. A program characterized by causing the steps to be executed

8. An information processing method capable of determining a lending type for a vehicle returned by a user in a vehicle lending service that lends vehicles to users, the method comprising a step of calculating a first profit when the returned vehicle is lent out as a first vehicle lending service and a second profit when the returned vehicle is lent out as a second vehicle lending service having a lending period different from that of the first vehicle lending service, based on information corresponding to the state value of the battery provided in the returned vehicle or, in the case of battery replacement after vehicle return, the battery after replacement; and A step of determining the first vehicle lending service or the second vehicle lending service as the lending type for the returned vehicle based on the calculated first profit and the second profit, and an information processing method characterized by having the step.

9. In a vehicle lending service that lends vehicles to users, an information processing method capable of determining the lending type for a vehicle returned by the user, receiving information based on the state value of a battery provided in the returned vehicle or, when the battery is replaced after the vehicle is returned, the state value of the battery after replacement, and storing the information based on the state value of the battery in a storage device, where the first profit when lending the returned vehicle as the first vehicle lending service and the second profit when lending the returned vehicle as the second vehicle lending service, which has a different lending period from the first vehicle lending service; A step of determining the first vehicle lending service or the second vehicle lending service as the lending type for the returned vehicle based on the first profit and the second profit stored in the storage device, and an information processing method characterized by having the step.