Information processing apparatus and program

Abstract

To provide an information processing apparatus and a program which can output a fee plan for charge service suitable for a user out of a plurality of fee plans.SOLUTION: The information processing apparatus is provided with monthly fee plans for charging an electric car, which define payment of fixed amounts for up to prescribed amounts of charge and define payment of excess fees preliminarily determined in accordance with excess amounts of charge for excess over the prescribed amounts of charge and are formed of a plurality of stages of plans different in prescribed amount of charge and excess fee, and comprises: a calculation unit which calculates an electricity cost of the electric car from a history of amounts of charge and a history of mileages of the electric car; a determination unit which determines a recommended fee plan suitable for a user out of the fee plans from the electricity cost and a monthly mileage per month; and an output unit which outputs the recommended fee plan to the user.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present invention relates to an information processing device and a program, and more particularly to an information processing device and a program that can output a rate plan for an electric vehicle charging service that suits a user. [Background technology]

[0002] BACKGROUND ART A charging device is known that determines a user's rate plan for a charging service based on environmental information, vehicle information about an electric vehicle, and user questionnaire information (see Patent Document 1). [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Publication No. 2023-170170 Summary of the Invention [Problem to be solved by the invention]

[0004] In the conventional technology described in Patent Document 1, it is impossible to make the determined rate plan suitable for all users. For this reason, it is common for multiple rate plans for charging services to be prepared. Therefore, users must select the most suitable rate plan from the multiple rate plans themselves. However, it is difficult for users to select the most suitable rate plan themselves.

[0005] The present invention aims to solve such problems, and specifically aims to provide an information processing device and program that can output a charging service rate plan that suits a user from among multiple rate plans. [Means for solving the problem]

[0006] In order to achieve the above object, an information processing device according to a first aspect has a monthly rate plan set for charging an electric vehicle, in which a fixed rate is charged up to a predetermined specified charging amount, and if charging exceeds the specified charging amount, a predetermined excess fee is paid according to the excess charging amount, and the rate plan is formed from multiple stages of plans in which at least the specified charging amount and the excess fee differ, and the information processing device is equipped with: a calculation unit that calculates the electricity cost of the electric vehicle from the charging amount history and mileage history of the electric vehicle; a determination unit that determines a recommended rate plan from the rate plans that suits the user based on the electricity cost and monthly mileage per month; and an output unit that outputs the recommended rate plan determined by the determination unit to the user.

[0007] According to the information processing device of the first aspect, it is possible to output a rate plan for a charging service that suits the user from among a plurality of rate plans.

[0008] In addition, an information processing device according to a second aspect is the information processing device according to the first aspect, wherein the calculation unit calculates the electricity efficiency from a distance traveled from a previous charge to a current charge and an amount of charge this time.

[0009] According to the information processing device of the second aspect, it is possible to easily calculate the electricity cost from the travel distance and the charge amount.

[0010] In addition, in the information processing device of the third aspect, in the information processing device of the first aspect, the output unit outputs to the user the difference between the monthly mileage when the specified charge amount is more suitable for a rate plan one level lower than the recommended rate plan and a plan one level higher than the recommended rate plan.

[0011] According to the information processing device of the third aspect, it is possible to easily imagine the differences in the tiers of the price plans.

[0012] In addition, in the information processing device according to a fourth aspect, in the information processing device according to the first aspect, the monthly mileage used when the decision unit decides on the recommended rate plan is a predicted mileage for the next month.

[0013] According to the information processing device of the fourth aspect, it is possible to give the user an opportunity to review the rate plan for next month.

[0014] In addition, an information processing device according to a fifth aspect is the information processing device according to the fourth aspect, wherein the predicted mileage for the next month is the mileage for the same month as the next month of the previous year.

[0015] According to the information processing device of the fifth aspect, it is possible to accurately predict the mileage for the next month.

[0016] A sixth aspect of the program is a program for a charging service in which a monthly rate plan for charging an electric vehicle is set, in which a fixed rate is charged up to a predetermined specified charging amount, and a predetermined excess fee is paid according to the amount of excess charging if the charging exceeds the specified charging amount, and the rate plan is formed from multiple tiered plans in which at least the specified charging amount and the excess fee vary.The program causes a computer to function as: a calculation unit that calculates the electricity cost of the electric vehicle based on the charging amount history and mileage history of the electric vehicle; a determination unit that determines a recommended rate plan from the rate plans that suits the user based on the electricity cost and monthly mileage; and an output unit that outputs the recommended rate plan determined by the determination unit to the user.

[0017] According to the program of the sixth aspect, it is possible to output a rate plan for a charging service that suits the user from among a plurality of rate plans. [Effects of the Invention]

[0018] As described above in detail, according to the present invention, it is possible to output a charging service rate plan that suits a user from among a plurality of rate plans. [Brief explanation of the drawings]

[0019] [Figure 1] 1 is a diagram illustrating an example of a configuration of an information processing system according to an embodiment of the present invention. [Figure 2] FIG. 2 is a block diagram showing an example of an electrical configuration of a server according to an embodiment of the present invention. [Figure 3] FIG. 2 is a block diagram showing an example of a functional configuration of a server according to an embodiment of the present invention. [Figure 4] FIG. 2 is an explanatory diagram for explaining an example of a rate plan for a charging service according to the embodiment of the present invention. [Figure 5] FIG. 2 is an explanatory diagram for explaining calculation of electricity efficiency according to an embodiment of the present invention. [Figure 6] FIG. 10 is an explanatory diagram for explaining an example of a simulation of a charging fee for each travel distance according to an embodiment of the present invention. [Figure 7] FIG. 10 is an explanatory diagram for explaining another example of a simulation of a charging fee for each travel distance according to the embodiment of the present invention. [Figure 8] 10 is a flowchart illustrating an example of a process for determining a recommended rate plan according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0020] An example of an embodiment of the present invention will be described in detail below with reference to the drawings. The same or equivalent components and parts in each drawing are designated by the same reference numerals. The dimensional proportions in the drawings are exaggerated for the sake of explanation and may differ from the actual proportions.

[0021] FIG. 1 is a diagram showing an example of the configuration of an information processing system 100 according to this embodiment.

[0022] 1, an information processing system 100 according to this embodiment includes a charging service server 10, an electric vehicle 20, a server 30, and a user terminal device 40. The charging service server 10, the electric vehicle 20, the server 30, and the user terminal device 40 are connected via a network N. This network N may be, for example, a LAN (Local Area Network), a WAN (Wide Area Network), the Internet, or the like.

[0023] The charging service server 10 is a server computer used by a company that provides a charging service for electric vehicles 20 using chargers installed at charging stations or the like in the information processing system 100 when providing the charging service. The charging service server 10 stores, for example, a user's charging service usage history including a charging amount history, a charging service fee plan, a fee plan subscribed to by the user, and the like.

[0024] The electric vehicle 20 is used by a user who has signed up for a charging service. The electric vehicle 20 stores, for example, the mileage and the like. The mileage of the electric vehicle 20 may be transmitted from the electric vehicle 20 to the server 30 via the network N, or may be transmitted from the electric vehicle 20 to the server 30 via, for example, a server (not shown) of a company that sells or maintains the electric vehicle 20, or may be obtained from a charger when charging.

[0025] The server 30 is an example of an information processing device. In this embodiment, a device installed in a cloud environment is applied as the server 30. However, this is not limiting. The server 30 does not have to be installed in a cloud environment. Furthermore, the charging service server 10 may function as the server 30.

[0026] The user terminal device 40 is a terminal device, such as a smartphone, carried by a user who uses the charging service for the electric vehicle 20.

[0027] 2 is a block diagram showing the hardware configuration of the server 30 and the charging service server 10. Since the server 30 and the charging service server 10 basically have a general computer configuration, the server 30 will be described as a representative.

[0028] 2, the server 30 according to this embodiment includes a CPU (Central Processing Unit) 31, a ROM (Read Only Memory) 32, a RAM (Random Access Memory) 33, a storage 34, and a communication interface 35. Each component is connected to each other via a bus 36 so as to be able to communicate with each other.

[0029] The CPU 31 is a central processing unit that executes various programs and controls each part. That is, the CPU 31 reads programs from the ROM 32 or the storage 34 and executes the programs using the RAM 33 as a work area. The CPU 31 controls the above components and performs various arithmetic processing in accordance with the programs recorded in the ROM 32 or the storage 34. In this embodiment, the programs are stored in the ROM 32 or the storage 34.

[0030] The ROM 32 stores various programs and various data. The RAM 33 temporarily stores programs or data as a working area. The storage 34 is composed of a hard disk drive (HDD), a solid state drive (SSD), flash memory, etc., and stores various programs including the operating system and various data.

[0031] The program may be pre-installed in the server 30, for example. The program may be realized by storing it in a non-volatile storage medium or distributing it via a network and installing it appropriately in the server 30. Note that examples of non-volatile storage media include CD-ROMs (Compact Disc Read Only Memory), magneto-optical disks, HDDs, DVD-ROMs (Digital Versatile Disc Read Only Memory), flash memories, memory cards, etc.

[0032] The communication interface 35 is connected to the network N, and enables the server 30 to communicate with other devices such as the charging service server 10, the electric vehicle 20, and the user terminal device 40.

[0033] FIG. 3 is a block diagram showing an example of the functional configuration of the server 30 according to this embodiment.

[0034] As shown in FIG. 3, the CPU 31 of the server 30 according to this embodiment functions as an acquisition unit 31A, a calculation unit 31B, a determination unit 31C, and an output unit 31D.

[0035] The acquisition unit 31A according to this embodiment acquires a history of the amount of charge from the usage history of the charging service stored in the charging service server 10. The acquisition unit 31A also acquires a history of the mileage from the electric vehicle 20. Note that the history of the mileage is not limited to being acquired directly from the electric vehicle 20, but may be acquired from the electric vehicle 20 via, for example, a server of a company that sells or maintains the electric vehicle 20, or may be acquired from a charger during charging. The timing of acquiring the history of the amount of charge and the history of the mileage is not important, and may be, for example, at a predetermined date and time, or when the charging service is used.

[0036] The calculation unit 31B according to this embodiment calculates the electricity efficiency of the electric vehicle 20 from the history of the charge amount and the history of the travel distance of the electric vehicle 20 acquired by the acquisition unit 31A. This will be described in detail later with reference to FIG.

[0037] The determination unit 31C according to this embodiment determines a recommended rate plan suited to the user from among the rate plans based on the electricity cost and the monthly mileage per month. Specifically, the determination unit 31C calculates the monthly mileage per month from the beginning to the end of the month prior to the determination time from the mileage history acquired by the acquisition unit 31A. For example, if the determination time is June, the determination unit 31C calculates the monthly mileage from May 1 to May 31 of the previous month. Then, the calculation unit 31B determines a recommended rate plan suited to the user from among the rate plans based on the calculated electricity cost and monthly mileage. Here, the recommended rate plan includes a rate plan that offers the lowest payment fee for the charging service (charging fee). Note that the monthly mileage per month is not limited to the monthly mileage per month from the beginning to the end of the month prior to the determination time, but may be calculated by predicting the monthly mileage per month from the mileage for several days in the month prior to the determination time.

[0038] The output unit 31D according to this embodiment outputs the recommended rate plan determined by the determination unit 31C to the user. Here, output includes sending the recommended rate plan by email or the like to a user terminal device 40 such as a smartphone owned by the user, displaying the recommended rate plan on application software for the user terminal device 40 such as a smartphone provided by the charging service, displaying the recommended rate plan on the display of a charger used by the user to charge the electric vehicle 20, and the like.

[0039] An example of a rate plan for the charging service in this embodiment will be described with reference to FIG.

[0040] In this embodiment, a monthly rate plan for charging an electric vehicle is set, in which a fixed rate is charged up to a predetermined specified charging amount, and a predetermined excess charge is paid according to the excess charging amount when charging exceeds the specified charging amount. For example, as shown in FIG. 4 , a first plan, a second plan, a third plan, a fourth plan, and a fifth plan are set. Data for these rate plans is stored in the charging service server 10, and is also acquired from the charging service server 10 and stored in the server 30. Note that the rate plan data is not limited to being acquired from the charging service server 10 and stored in the server 30, but may be acquired from another server (not shown) or may be input by the user.

[0041] Here, the first plan has a basic fee of "0 yen," a specified charging amount of "0 kWh," and an excess charge of "55 yen / kWh." In other words, the first plan has no specified charging amount. The second plan has a basic fee of "1,100 yen," a specified charging amount of "30 kWh," and an excess charge of "49.5 yen / kWh." The third plan has a basic fee of "2,200 yen," a specified charging amount of "70 kWh," and an excess charge of "44 yen / kWh." The fourth plan has a basic fee of "4,400 yen," a specified charging amount of "150 kWh," and an excess charge of "38.5 yen / kWh." The fifth plan has a basic fee of "8,800 yen," a specified charging amount of "310 kWh," and an excess charge of "33 yen / kWh." For example, if the second plan is subscribed to and 40 kWh of charging is performed, the monthly charging service fee will be a total of 1,595 yen, which includes the basic fee of 1,100 yen plus an excess fee of 495 yen for the excess charging amount of 10 kWh that is charged beyond the specified charging amount of 30 kWh. That is, in this embodiment, the fee plan is formed from multiple tiered plans with different specified charging amounts and excess fees.

[0042] The calculation of the electricity efficiency performed by the calculation unit 31B will be described with reference to Fig. 5. In this embodiment, the electricity efficiency indicates how many kilometers can be traveled per kWh (km / kWh).

[0043] The calculation unit 31B calculates the electricity efficiency from the distance traveled from the previous charge to the current charge and the amount of charge this time. For example, as shown in FIG. 5, if the distance traveled from the previous charge to the current charge is 360 km and the amount of charge this time is 60 kWh, the electricity efficiency is calculated as 6 km / kWh (= 360 / 60). Here, the electricity efficiency is not a value listed in the catalog of the electric vehicle 20, but a value based on the actual travel. Note that the calculation of the electricity efficiency is not limited to calculation from the distance traveled from the previous charge to the current charge and the amount of charge this time, and as long as the distance traveled and the amount of power consumed for that distance (amount of charge) can be calculated, it does not matter at what point in time the distance traveled and the amount of power consumed (amount of charge) are.

[0044] Using FIG. 6, a simulation of charging fees for each distance traveled when the electricity cost is "6 km / kWh" in the rate plan of FIG. 4 will be described.

[0045] As shown in Figure 6, when the charge amount is "20 kWh" and the monthly mileage is "120 km," the first plan is the best value and is the recommended rate plan for the user. Then, when the charge amount exceeds "20 kWh" and the monthly mileage exceeds "120 km," up to a charge amount of "approximately 52.22 kWh" and a monthly mileage of "approximately 313.32 km," the second plan is the best value and is the recommended rate plan for the user. Then, when the charge amount exceeds "approximately 52.22 kWh" and the monthly mileage exceeds "approximately 313.32 km," up to a charge amount of "120 kWh" and a monthly mileage of "720 km," the third plan is the best value and is the recommended rate plan for the user. That is, at the first point P1 where the graphs for the first and second plans intersect in Figure 6 (charging amount: 20 kWh, monthly mileage: 120 km), the charging service fee is 1,100 yen whether you have subscribed to the first plan or the second plan, and this first point P1 is the dividing line between whether the first plan or the second plan is more cost-effective. Also, at the second point P2 where the graphs for the second and third plans intersect in Figure 6 (charging amount: approximately 52.22 kWh, monthly mileage: approximately 313.32 km), the charging service fee is 2,200 yen whether you have subscribed to the first plan or the second plan, and this second point P2 is the dividing line between whether the second plan or the third plan is more cost-effective. Also, at the third point P3 where the graphs for the third and fourth plans shown in Figure 6 intersect (charge amount: approximately 120 kWh, monthly mileage: 720 km), the charging service fee is 4,400 yen whether the third plan or the fourth plan is subscribed to, and this third point P3 is the dividing line between whether the third plan or the fourth plan is more advantageous. Therefore, for example, when the monthly mileage is 360 km, the determination unit 31C determines the third plan as the recommended rate plan as shown in Figure 6.

[0046] Also, using FIG. 7, a simulation of charging fees for each travel distance when the electricity cost is "9 km / kWh" in the rate plan of FIG. 4 will be described.

[0047] As shown in Figure 7, when the charge amount is "20 kWh" and the monthly mileage is "180 km," the first plan is the most cost-effective and is the recommended plan for the user. Furthermore, when the charge amount exceeds "20 kWh" and the monthly mileage exceeds "180 km," up to a charge amount of "approximately 52.22 kWh" and a monthly mileage of "approximately 469.98 km," the second plan is the most cost-effective and is the recommended plan for the user. That is, at the first point P1 (charge amount "20 kWh" and monthly mileage "180 km") where the graphs for the first and second plans intersect in Figure 7, the charging service fee is "1,100 yen" whether the user has subscribed to the first plan or the second plan. This first point P1 is the dividing line between the first plan and the second plan. Furthermore, at the second point P2 where the graphs for the second and third plans shown in FIG. 7 intersect (charge amount: approximately 52.22 kWh, monthly mileage: approximately 469.98 km), the charging service fee is approximately 2,200 yen whether the first plan or the second plan is subscribed to, and this second point P2 is the dividing line between whether the second plan or the third plan is more advantageous. Therefore, for example, when the monthly mileage is 360 km, the determination unit 31C determines the second plan as the recommended rate plan, as shown in FIG. 7.

[0048] Next, the operation of the server 30 according to this embodiment will be described with reference to FIG.

[0049] FIG. 8 is a flowchart showing an example of a process in which the server 30 according to this embodiment determines a recommended rate plan.

[0050] 8, the acquisition unit 31A acquires the history of the charge amount and the history of the travel distance, and then the process proceeds to the next step S101.

[0051] In step S101, the calculation unit 31B calculates the electricity efficiency of the electric vehicle 20. Then, the process proceeds to the next step S102.

[0052] In step S102, the determination unit 31C determines a recommended rate plan. Specifically, as described above, the determination unit 31C calculates the monthly mileage per month from the beginning to the end of the month prior to the determination time point, based on the mileage history acquired in step S100. Then, from among the rate plans, the determination unit 31C determines a rate plan that suits the user based on the electricity cost and monthly mileage calculated in step S101. Then, the process proceeds to the next step, S103.

[0053] In step S103, the output unit 31D outputs the recommended price plan determined in step S102 to the user, and then the process ends.

[0054] As described above, according to this embodiment, it is possible to output a rate plan that is advantageous to the user as a recommended rate plan.

[0055] Although the server 30 has been described as an example of the above-described embodiment, the embodiment may also be in the form of a program that causes a computer to execute the functions of each unit included in the server 30. The embodiment may also be in the form of a computer-readable storage medium that stores the program.

[0056] Furthermore, the configuration of the server 30 described in the above embodiment is merely an example, and may be changed depending on the situation without departing from the spirit of the invention.

[0057] For example, in the above-described embodiment, a recommended rate plan is output, but this is not limited to this. Furthermore, the difference between the monthly mileage when a rate plan with a specified charge amount one step lower than the recommended rate plan and a plan one step higher than the recommended rate plan is more suitable may be output to the user.

[0058] For example, a simulation of charging fees when the electricity cost is 6 km / kWh as shown in FIG. 6 will be used for explanation. When the monthly mileage is 360 km, the third plan is the recommended rate plan as shown in FIG. 6. The determination unit 31C then calculates the difference between the monthly mileage when the second plan, which is a rate plan with a specified charging amount one level lower than the third plan, is more suitable, specifically, the difference between the second point P2 (312 km) and the monthly mileage of 360 km. The determination unit 31C also calculates the difference between the monthly mileage when the fourth plan, which is a rate plan with a specified charging amount one level higher than the third plan, is more suitable, specifically, the difference between the third point P3 (720 km) and the monthly mileage of 360 km. In the case shown in FIG. 6, the difference between the second point P2 and the monthly mileage is -48 km (312 km - 360 km). In addition, the difference between the third point P3 and the monthly mileage is "+360 km" (720 km - 360 km) in the case shown in FIG. 6. The output unit 31D outputs this difference to the user. For example, it outputs text information to the user such as "If the mileage is 48 km less, the second plan is recommended" or "If the mileage is 360 km more, the fourth plan is recommended."

[0059] In addition, in the above-described embodiment, the recommended rate plan was determined based on the monthly mileage per month from the beginning to the end of the previous month, but this is not limited to this, and the mileage for the next month may be predicted and the recommended rate plan for the next month may be output. Specifically, the determination unit 31C may predict the mileage in the same month as the next month of the previous year as the mileage in the next month, and determine a recommended rate plan that suits the user from among the rate plans based on the predicted mileage and electricity cost for the next month. For example, if the determination unit 31C determines the recommended rate plan in June 2024, the determination unit 31C may predict the mileage in July 2023, which is the same month as the next month of the previous year, as the mileage for the next month, and determine a recommended rate plan.

[0060] In addition, the recommended rate plan is determined based on the monthly mileage per month from the beginning to the end of the previous month, but this is not limited to this, and the recommended rate plan may be determined based on the average monthly mileage in the past, etc.

[0061] In the above-described embodiment, the electricity consumption of the electric vehicle 20 is calculated based on the charge amount history and mileage history of the electric vehicle 20. However, this is not limiting. Furthermore, next month's electricity consumption may be predicted based on the previous year's electricity consumption. Specifically, if electricity consumption fluctuates due to seasonal factors such as temperature, the electricity consumption for next month may be corrected by multiplying the previous year's electricity consumption by a monthly coefficient. For example, it is known that electricity consumption is higher in summer (e.g., July to September) and winter (e.g., November to March) than in other months due to the use of air conditioners, and electricity consumption may vary even if the mileage is the same. Therefore, if the recommended rate plan is determined in June 2024, the increase rate of electricity consumption from June to July of the previous year, 2023, is calculated (electricity consumption in July / electricity consumption in June). This increase rate may be used as a coefficient and multiplied by the electricity consumption calculated from the charge amount history and mileage history of the electric vehicle 20, and used as the electricity consumption used by the determination unit 31C when determining the recommended rate plan.

[0062] Furthermore, the flowchart of the program processing flow described in the above embodiment is also an example, and unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, within the scope of the main idea.

[0063] In the above embodiment, the processing according to the embodiment is realized by a software configuration using a computer by executing a program, but the present invention is not limited to this. The embodiment may be realized by, for example, a hardware configuration or a combination of a hardware configuration and a software configuration.

[0064] The following supplementary notes are further provided regarding one embodiment of the technology disclosed in the present application.

[0065] (Appendix 1) A monthly fee plan for charging an electric vehicle is set up, where a fixed fee is charged up to a predetermined specified charging amount, and if charging exceeds the specified charging amount, a predetermined excess fee is paid according to the excess charging amount. The rate plan is formed from a plurality of plans in which at least the specified charging amount and the excess charge are different, a calculation unit that calculates the electricity consumption of the electric vehicle based on a history of the charge amount and a history of the mileage of the electric vehicle; a determination unit that determines a recommended rate plan suitable for a user from among the rate plans based on the electricity cost and the monthly mileage; an output unit that outputs the recommended rate plan determined by the determination unit to the user; An information processing device comprising:

[0066] (Appendix 2) 2. The information processing device according to claim 1, wherein the calculation unit calculates the electricity efficiency from a distance traveled from a previous charge to a current charge and an amount of charge this time.

[0067] (Appendix 3) The output unit An information processing device as described in Appendix 1 or Appendix 2, which outputs to the user the difference between the monthly mileage when the specified charge amount is more suitable for a rate plan one level lower than the recommended rate plan or a plan one level higher than the recommended rate plan.

[0068] (Appendix 4) 4. The information processing device according to claim 1, wherein the monthly mileage used when the decision unit decides on the recommended rate plan is a predicted mileage for the next month.

[0069] (Appendix 5) 5. The information processing device according to claim 4, wherein the predicted mileage for next month is the mileage for the same month as next month of the previous year.

[0070] (Appendix 6) A monthly fee plan for charging an electric vehicle is set up, where a fixed fee is charged up to a predetermined specified charging amount, and if charging exceeds the specified charging amount, a predetermined excess fee is paid according to the excess charging amount. The fee plan is a program for a charging service formed from a plurality of plans in which at least the specified charging amount and the excess fee are different, Computer, a calculation unit that calculates the electricity consumption of the electric vehicle based on a history of the charge amount and a history of the mileage of the electric vehicle; a determination unit that determines a recommended rate plan suitable for a user from among the rate plans based on the electricity cost and the monthly mileage; an output unit that outputs the recommended rate plan determined by the determination unit to the user; A program to make it function as such. [Explanation of symbols]

[0071] 10 Charging service server 20 Electric Vehicles 30 servers 31 CPU 31A Acquisition Department 31B Calculation part 31C Decision section 31D Output section 32 ROM 33 RAM 34 Storage 35 Communication Interface 36 Bus 40 User terminal device 100 Information Processing Systems

Claims

1. A monthly fee plan for charging an electric vehicle is set up, where a fixed fee is charged up to a predetermined specified charging amount, and if charging exceeds the specified charging amount, a predetermined excess fee is paid according to the excess charging amount. The rate plan is formed from a plurality of plans in which at least the specified charging amount and the excess charge are different, a calculation unit that calculates the electricity consumption of the electric vehicle based on a history of the charge amount and a history of the mileage of the electric vehicle; a determination unit that determines a recommended rate plan suitable for a user from among the rate plans based on the electricity cost and the monthly mileage; an output unit that outputs the recommended rate plan determined by the determination unit to the user; An information processing device comprising:

2. The information processing device according to claim 1 , wherein the calculation unit calculates the electricity efficiency from a distance traveled from a previous charge to a current charge and a current charge amount.

3. The output unit 2. The information processing device according to claim 1, wherein the difference between the monthly mileage and the specified charge amount when a rate plan one level lower than the recommended rate plan and a rate plan one level higher than the recommended rate plan is more suitable is output to the user.

4. The information processing device according to claim 1 , wherein the monthly mileage used when the decision unit decides on the recommended rate plan is a predicted mileage for the next month.

5. The information processing device according to claim 4 , wherein the predicted mileage for the next month is the mileage for the same month as the next month of the previous year.

6. A monthly fee plan for charging an electric vehicle is set up, where a fixed fee is charged up to a predetermined specified charging amount, and if charging exceeds the specified charging amount, a predetermined excess fee is paid according to the excess charging amount. The fee plan is a program for a charging service formed from a plurality of plans in which at least the specified charging amount and the excess fee are different, Computer, a calculation unit that calculates the electricity consumption of the electric vehicle based on a history of the charge amount and a history of the mileage of the electric vehicle; a determination unit that determines a recommended rate plan suitable for a user from among the rate plans based on the electricity cost and the monthly mileage; an output unit that outputs the recommended rate plan determined by the determination unit to the user; A program to make it function as such.

Images