JP6846281B2 - Management methods, service management devices, service management systems and programs - Google Patents

Description

The present invention relates to management methods, service management devices, service management systems and programs.

From the viewpoint of environmental problems, reduction of fossil fuels is required. For example, Patent Document 1 describes a technique for improving the energy consumption performance and social environment performance of the entire power system while taking into consideration the behavior of consumers for the purpose of popularizing storage batteries. Patent Document 1 quantitatively shows charge / discharge incentive information (contribution to the environment) by time and region determined in consideration of the supply-demand balance in the entire power system and the equipment capacity constraint in the regional power transmission / distribution system. There is a description of a charge / discharge management device that formulates a charge / discharge plan for consumers based on the value) and monitors whether the charge / discharge action is actually taken according to the plan. Further, Patent Document 1 describes an example in which this charge / discharge management device is mounted on an electric vehicle.

Japanese Patent No. 5255613

Electric vehicles are _{environmental technologies that run on electricity and contribute to the reduction of CO 2} emissions, and are expected to become widespread. However, for example, there is a problem in operability including economic efficiency, such as the lack of technology for procuring electric power for electric vehicles at low cost, and the spread is not progressing.

Therefore, an object of the present invention is to provide a management method, a service management device, a service management system, and a program capable of solving the above-mentioned problems.

The first aspect of the present invention is a method of managing a service that gives an incentive to a user of an electric vehicle by one or a plurality of computers, and is used for information on a charging history or a mileage of the electric vehicle used by the plurality of users. Based on this, a step of calculating the amount of electricity demand for a certain period required for charging the electric vehicle, and a step of predicting an electricity wholesale price for each time zone included in the certain period according to the amount of electricity demand. , A step of calculating a first incentive according to the wholesale price of electric power for charging the electric vehicle, a step of assessing the value of the electric vehicle or the battery included in the electric vehicle, and the electric vehicle or the above. When the battery is sold, the step of calculating the second incentive according to the assessed value and the step of calculating the first incentive according to the electricity wholesale price are such that the electricity wholesale price is calculated. more cheap case, to calculate the first incentive large value, in the step of calculating a second incentive in accordance with the value obtained by the assessment, the higher the value, calculates the second incentive larger value It is a management method to do.

According to the second aspect of the present invention , there is a method of managing a service that gives an incentive to a user of an electric vehicle by one or a plurality of computers, and the charging history or mileage of the electric vehicle used by the plurality of users. Based on the information, the step of calculating the electric power demand for a certain period required for charging the electric vehicle and the electric wholesale price for each time zone included in the certain period according to the electric power demand are predicted. A step, a step of calculating an incentive for charging the electric vehicle according to the wholesale price of electric power, a predicted number of users, and a distribution of mileage or a distribution of charging history of the plurality of electric vehicles. Based on this, a step of calculating the amount of electricity demand for a certain period required for providing the service to the predicted number of users, a step of predicting a long-term wholesale electricity price for the certain period, and the above-mentioned constant It has a step of calculating the contract fee per electric vehicle in the service based on the electric power demand for the period and the long-term electric power wholesale price in the fixed period, and according to the electric power wholesale price. In the step of calculating the incentive, the lower the wholesale price of electricity, the larger the value of the incentive is calculated.

According to the third aspect of the present invention, the management method further includes a step of calculating the degree of congestion of the charging station for charging the electric vehicle, and the degree of congestion of the charging station with respect to the charging of the electric vehicle. It has a step of calculating an incentive according to the above, and calculates the incentive having a larger value with respect to charging at the charging station having a low degree of congestion.

According to a fourth aspect of the present invention, the management method further includes a step of notifying support information of a V2G (Vehicle to Grid) service and a case where electric power is supplied from a battery included in the electric vehicle by the V2G service. It has a step of calculating an incentive according to the amount of supplied electric power with respect to the supply of the electric power, and the larger the amount of the supplied electric power is, the larger the value of the incentive is calculated.

A fifth aspect of the present invention is a power demand forecast that calculates a power demand amount for a certain period required for charging the electric vehicle based on information on the charging history or mileage of the electric vehicle used by a plurality of users. The electric vehicle, the electric power price prediction unit that predicts the wholesale electric power price for each time period included in the fixed period according to the electric power demand, and the EV that assesses the value of the electric vehicle or the battery of the electric vehicle. The battery value assessment unit and the EV / battery value assessment unit calculate a first incentive for charging the electric vehicle according to the wholesale price of electricity, and when the electric vehicle or the battery is sold, the EV / battery value assessment unit It has an incentive determination unit that calculates a second incentive according to the assessed value of the battery, and the incentive determination unit provides the first incentive with a larger value as the wholesale electricity price is lower. It is a service management device that calculates and calculates the second incentive with a larger value as the value of the battery is higher.

A sixth aspect of the present invention is a service management device that manages a service that gives an incentive to a user of an electric vehicle, based on information on the charging history or mileage of the electric vehicle used by the plurality of users. The electric power demand forecasting unit that calculates the electric power demand for a certain period required for charging the electric vehicle, and the first electric power wholesale price for each time zone included in the fixed period according to the electric power demand. The electric power price prediction unit, the incentive determination unit for calculating an incentive for charging the electric vehicle according to the wholesale electric power price, the predicted number of users, and the distribution or mileage of a plurality of the electric vehicles. A second power demand forecasting unit that calculates the power demand for a certain period required for providing the service to the predicted number of users based on the distribution of the charging history, and a long-term power demand forecasting unit for the fixed period. Based on the Procurement Planning Department, which predicts the wholesale electricity price, and the electricity demand for the fixed period and the long-term wholesale electricity price for the fixed period, the contract fee for each electric vehicle in the service is calculated. The incentive determination unit is a service management device that calculates the incentive with a larger value as the wholesale electricity price is lower.

A seventh aspect of the present invention is a service management system including the service management device, a charging station charged by the electric vehicle, and a charging station management server that stores charging history information using the charging station. is there.

An eighth aspect of the present invention is to use a computer to calculate the amount of electric power demand for a certain period required for charging the electric vehicle based on the charging history or mileage information of the electric vehicle used by a plurality of users. Means, means for predicting the wholesale electricity price for each time period included in the fixed period according to the demand for electricity, and the first incentive for charging the electric vehicle according to the wholesale electricity price. The means for calculating the first incentive, which is a larger value when the wholesale price of electric power is lower , the means for assessing the value of the electric vehicle or the battery included in the electric vehicle, and the second means according to the value of the battery. As an incentive, when the electric vehicle or the battery is sold, the higher the value assessed by the means for assessing the value of the battery, the larger the value of the second incentive to be calculated . It is a program for.
A ninth aspect of the present invention is to use a computer that manages a service that gives an incentive to a user of the electric vehicle, based on information on the charging history or mileage of the electric vehicle used by the plurality of users. Means for calculating the amount of electricity demand for a certain period required for charging, means for predicting the wholesale electricity price for each time zone included in the certain period according to the amount of electricity demand, for charging the electric vehicle , A means for calculating the incentive having a larger value when the wholesale electric power price is lower, the predicted number of users, and the distribution or charging of the mileage of the plurality of electric vehicles. A means for calculating the amount of electricity demand for a certain period required for providing the service to the predicted number of users based on the distribution of the history, a means for predicting a long-term wholesale electricity price for the certain period, It is a program for functioning as a means for calculating a contract fee per electric vehicle in the service based on the electric power demand for the fixed period and the long-term wholesale electric power price for the fixed period. ..

According to the present invention, it is possible to promote the use of electric vehicles by a method of procuring electric power at low cost and a mechanism of giving incentives to users of electric vehicles.

It is a schematic diagram which shows an example of the service management system in one Embodiment which concerns on this invention. It is a functional block diagram which shows an example of the service management apparatus in one Embodiment which concerns on this invention. It is a figure which shows an example of the service charge determination processing in one Embodiment which concerns on this invention. It is a figure which shows an example of the long-term power procurement processing in one Embodiment which concerns on this invention. It is a figure which shows an example of the process at the time of operation in one Embodiment which concerns on this invention. It is a figure which shows an example of the incentive determination process in one Embodiment which concerns on this invention. It is a figure which shows an example of resale processing of a battery or the like in one Embodiment which concerns on this invention. It is a flowchart which shows an example of the service charge determination processing in one Embodiment which concerns on this invention. It is a flowchart which shows an example of the point determination process in one Embodiment which concerns on this invention. It is a figure which shows an example of the hardware composition of the service management apparatus which concerns on this invention.

<Embodiment>
Hereinafter, the service management system according to the embodiment of the present invention will be described with reference to FIGS. 1 to 10.
FIG. 1 is a schematic diagram showing an example of a service management system according to an embodiment of the present invention.
The service management system 100 is a system used to provide an "EV (Electric Vehicle) utilization service". The "EV use service" according to the present embodiment gives an incentive (points are given) to the user who uses the EV for the charging behavior of the user, and promotes the use of the EV. A business operator that provides an "EV utilization service" (hereinafter, business operator S) procures electric power at a low cost by securing as many users as possible, and according to the purchased electric power price, for example, the electric power price is low. At that time, the incentive is changed by giving a large point to the user to encourage or suppress the charging action to control the power demand. Although only one EV is shown in FIG. 1, in the present embodiment, the charging behavior of a large number of EV1 groups is controlled.

As shown in FIG. 1, the service management system 100 includes a service management server 10, an EV management server 20, charging stand management servers 30A and 30B, an EV user information terminal 40, a power supply management server 50, and an ESS ( It includes an Energy Storage System) management server 60, a payment server 70, an EV (electric vehicle) 1, charging stands 3A and 3B, ESSs 2 and 4, and a charging device 5. In the following, the user is a contract user of the "EV use service", and EV1 is an electric vehicle used by the contract user.

The service management server 10 manages points given to users. The function of the service management server 10 will be described next with reference to FIG.
The EV management server 20 communicates with the on-board unit mounted on the EV1 used by the user who uses this service, and acquires and stores information such as the mileage and the mileage of the EV1. The service management server 10 and the EV management server 20 are communicably connected to each other, and the service management server 10 acquires information such as the mileage of the EV1.

The charging stand management server 30A is connected to the ESS2 and the charging stand 3A managed and operated by the operator S, and the charging state of the ESS2 and the EV1 using the charging stand 3A to charge the EV1 battery provided in the EV1. It stores and manages the charging history, which indicates the amount of power charged at that time. It is desirable that the charging stand 3A operated by the business operator S is equipped with the storage battery ESS2. By installing a storage battery in the charging station, the peak power can be kept within the contracted power amount, leading to a reduction in electricity charges. In addition, the business operator S can make a profit by conducting electric power transactions and ancillary transactions in the electric power market during a time period when the EV1 is not charged and the amount of charge is sufficient. In addition, the business operator S needs to achieve the same amount of electric power to be purchased and the electric power to be consumed at the same time. For example, by responding to an unexpected charging behavior with ESS2, an imbalance charge is avoided. be able to. The charging stand 3A may be used by a user other than the user of the "EV usage service".

The charging station management server 30B is connected to a charging station 3B managed and operated by a company or the like that provides a charging station service other than the operator S, and EV1 uses the charging station 3B to charge the EV1 battery. It stores and manages the charging history, which records the amount of power charged at that time.
The service management server 10 and the charging station management server 30A, the service management server 10 and the charging station management server 30B are communicably connected, and the service management server 10 is connected to the charging station management server 30A and the charging station management server 30B. , Acquire the charging history stored in each server.

The information terminal 40 is a mobile terminal used by the EV1 user. The information terminal 40 acquires information on the charging state when the EV1 is charged using the charging stands 3A and 3B by wirelessly communicating with the EV1's BMS (Battery Management System). Further, the information terminal 40 acquires information on the charging state of the EV1 battery by wireless communication with the charging device 5 when the EV1 is charged by using the charging device 5 installed in the user's house. Further, the information terminal 40 is communicably connected to the service management server 10, and for example, the information regarding the acquired charging state is transmitted to the service management server 10. Further, the information terminal 40 is connected to the service management server 10 in a communicable manner, and the service management server provides information such as points given to the user up to now and how many points are given when charging now. Obtained from 10 and provided to the user.

The power supply management server 50 is connected to the service management server 10, the charging station management server 30B, and the ESS management server 60. The power supply management server 50 provides each server with information such as a power price and a planned power supply amount for each time zone (for example, every hour). Further, the power supply management server 50 acquires information on power demand from each server such as the service management server 10. The electricity price includes the price of electricity in the market for the purpose of buying and selling general electricity (hereinafter, energy price) and the price of electricity in the ansirari market for the purpose of stabilizing electricity (hereinafter, ansirari). Price) is included. In addition, the electricity price includes the negawatt price that defines the electricity provision price according to the time of day, such as when charging the EV1 battery, charging at night makes it possible to charge at a lower cost. It may be.

The ESS management server 60 manages the charging state of the ESS 4 managed and operated by the business operator S. For example, the ESS management server 60 controls to store electricity in the ESS 4 when the amount of electricity stored in the ESS 4 falls below the threshold value. Further, for example, the ESS management server 60 is communicably connected to the service management server 10, and when the power supply falls below the power demand, the ESS 4 controls the stored power so that it can be used in the "EV utilization service". .. For example, the ESS management server 60 supplies the electric power stored in the ESS 4 to the charging station 3A managed by the operator S. Further, the ESS management server 60 sells and supplies the electric power accumulated by the ESS 4 by using the V2G (Vehicle to Grid) service, for example, in a situation where the demand for electric power is low in the "EV utilization service". Further, the business operator S can utilize the ESS 4 to avoid the imbalance charge in order to achieve the same amount at the same time.

The payment server 70 is communicably connected to the service management server 10, the information terminal 40, and the like, and is used for payment processing when the business operator S buys and sells electric power, and when the user purchases electric power for EV1. Perform payment processing. As will be described later, in the "EV utilization service", a predetermined amount of electric power (electricity for charging EV1) is provided to the user by a prepaid method, and the user charges the amount of electric power corresponding to the prepaid charge. There is a mechanism to do this.

FIG. 2 is a functional block diagram showing an example of a service management server according to the embodiment of the present invention.
As shown in the figure, the service management server 10 includes a data acquisition unit 101, an electric power demand forecasting unit 102, an electric power price forecasting unit 103, a procurement planning unit 104, a service charge determining unit 105, a point determining unit 106, and a point. Information guidance unit 107, charging stand guidance unit 108, simultaneous equal amount control unit 109, power charge calculation unit 110, user registration unit 111, user usage power management unit 112, V2G service management unit 113, and EV A battery value assessment unit 114, a communication unit 120, and a storage unit 121 are provided.
The data acquisition unit 101 acquires various information necessary for providing the "EV utilization service". The electric power demand forecasting unit 102 predicts the electric power demand amount required for EV1 traveling in a certain period based on information such as the number of users (the number of EV1s) and the mileage distribution of EV1.
The electric power price prediction unit 103 predicts future changes in the electric power price based on the information acquired by the data acquisition unit 101. The electric power price prediction unit 103 predicts, for example, a long-term (for example, 3 to 6 years) transition of the electric power price. Alternatively, the electric power price prediction unit 103 predicts the electric power price in a short period of time (for example, every day, every hour, etc.).
The procurement planning unit 104 formulates an electric power procurement plan.
The service charge determination unit 105 determines the service charge of the "EV use service". The service charge determination unit 105 determines the service charge based on the EV1 traveling (charging) electricity charge for a certain period (for example, 3 to 6 years).
The point determination unit 106 determines the points to be given to the user. As will be described later, in the "EV utilization service", points are given at the time of charging, and the points given at the time of charging are determined according to the electric power price and the degree of congestion of the charging stand 3A. In addition, the operator S mediates the V2G service targeting the EV1 battery as part of the "EV utilization service", and gives points to the user for each transaction in the V2G market. In that case, the point determination unit 106 determines the points to be given according to the transaction amount and the transaction amount. In addition, the business operator S mediates a service for buying and selling used EV1 batteries and EV1 used by the user in the second-hand market as part of the "EV usage service". In that case, the point determination unit 106 mediates the second-hand goods. Determine the points to be awarded according to the current or future forecast price of.

The point information guide unit 107 provides the user with the size of points to be given now or in the near future. Thereby, the charging behavior of the user can be controlled.
The charging station guide unit 108 generates information indicating a congestion status of the charging station 3A operated and managed by the business operator S, and provides the information to the user. As a result, the user can be guided to a relatively free charging stand 3A.
The simultaneous equal amount control unit 109 performs simultaneous equal amount control of electric power for ESS2 and ESS4 as a response to the simultaneous equal amount system at the time of planning accompanying the liberalization of electric power.
The electric power charge calculation unit 110 calculates an electric charge (electricity charge paid to the electric power company) corresponding to the electric power actually used for charging the EV1.

The user registration unit 111 registers the information of the newly contracted user in the "EV use service". The user registration unit 111 can use, for example, the user's name, address, contact information, EV identification information (registered in the EV management server 20), contract date, and available charging power amount corresponding to the service charge. Etc. are registered in the storage unit 121.
The user-used power management unit 112 calculates the total amount of power charged to EV1 based on the charging history acquired by the charging station management servers 30A and 30B and the power supply management server 50 when charging EV1, and the user. Manages the amount of power that can be charged. When the total amount of charged power approaches the amount of usable power generated by the contract, the user power management unit 112 may notify the user's information terminal 40 of a message prompting the contract to be renewed.
The V2G service management unit 113 provides information (support information) useful for the user to use the V2G service. For example, the V2G service management unit 113 determines whether the EV1 is suitable for using the V2G service based on the deteriorated state of the EV1 battery used by the user, and determines the current transaction price or the estimated price in the near future. To the user.
The EV / battery value assessment unit 114 assesses the value of EV1 and EV1 batteries. For example, the EV / battery value assessment unit 114 assesses the price of EV1 in the second-hand market according to the usage period and mileage of EV1. Further, for example, the EV / battery value assessment unit 114 determines the EV1 battery according to the deterioration state of the EV1 battery (the deterioration state is estimated based on the number of times of charging, the number of years of use, the depth of discharge, the SOC during storage, etc.). Assess prices in the second-hand market.
The communication unit 120 communicates with other devices (EV management server 20, charging station management server 30A, etc.).
The storage unit 121 stores various information necessary for providing "EV utilization service such as user information, information used for predicting long-term electric power demand and long-term electric power price".

Hereinafter, each process of the service management system 100 related to the provision of the "EV utilization service" will be described with reference to FIGS. 3 to 7. As shown in FIGS. 3 to 7, the market for electric power trading, the power generation company, the company S, and the user participate in the "EV utilization service" as the main actors. In addition to this, companies that manage the charging stand 3B, manufacturers of EV1 and EV1 batteries, etc. are involved, but the description thereof will be omitted.
FIG. 3 is a diagram showing an example of a service charge determination process according to the embodiment of the present invention. The service fee is a contract fee paid by the user at the time of contracting for the "EV service". The service management server 10 determines the service charge based on the long-term power demand forecast, the long-term power price forecast, and the like. The user can charge the amount of electric power corresponding to the service charge, and during that time, the EV1 can be freely run at no additional charge. In addition, the business operator S can make a highly accurate demand forecast by setting the service fee in advance, and can secure electric power at low cost by acquiring as many users as possible.

(Service charge determination process)
First, the data acquisition unit 101 acquires each information of the long-term power demand forecast, the long-term power source plan, and the long-term fuel price forecast. For example, information published by the public period can be used for long-term power demand forecasts and long-term fuel price forecasts, and information reviewed by electric power companies can be used for long-term power supply plans. Next, the electricity price prediction unit 103 predicts a long-term electricity rate based on this information (step S10). For the prediction of long-term electricity charges, for example, a known prediction algorithm can be used.

In addition, the data acquisition unit 101 acquires information on the expected number of users and the EV mileage distribution. Next, the electric power demand forecasting unit 102 forecasts the contract demand amount based on this information (step S11). For example, the electric power demand forecasting unit 102 distributes the expected number of users for each mileage based on the mileage distribution of the EV, totals the value obtained by multiplying the number of distributed users by the mileage of the distribution destination, and for all the expected users. Calculate the total mileage of. The electric power demand forecasting unit 102 calculates the amount of electric power required to travel the distance based on the total predicted mileage, and sets the value as the long-term electric power demand.

In addition, the data acquisition unit 101 acquires information such as a PPA (Power Purchase Agreement) contract, an amount of power that can be hedged by futures trading and option trading, and an amount of power that can be covered by an insurance contract. The procurement planning unit 104 calculates the amount of electric power that can be procured and the price based on this information (step S12). For example, the procurement planning unit 104 calculates the contract amount when all of the highly accurate power demand is covered by the PPA contract.

In addition, the data acquisition unit 101 includes investment, participation fee, and estimated amount of advertising fee by battery makers and tire makers participating in the "EV utilization service" business (for example, an advertisement to be put out on the charging station 3A operated by the business operator S). Get information about.

Next, the service charge determination unit 105 makes long-term electricity charge forecasts, long-term electricity demand forecasts, procable electric energy and its charges, additional income such as participation fees and advertising fees, and other expenses necessary for operation. Based on this, future income forecasts are made (step S13), and service charges that enable business continuity are calculated (step S14). As described above, the service charge of the present embodiment is a charge collected from the user on a prepaid basis. As a method of collecting the service fee, for example, a method of including the service fee in the selling price of EV1 or the lease fee of EV1 can be considered. In addition, insurance and vehicle inspection costs may be included in the service fee in consideration of user convenience. The service charge of the present embodiment is, for example, a set charge when the long-term (3 to 6 years) electricity charge is fixed based on the long-term electricity charge forecast.

Further, when the operation is actually started at the service charge determined by the service charge determination unit 105, the data acquisition unit 101 acquires each information of the short-term power demand forecast, the power source plan, and the fuel price forecast. In addition, the data acquisition unit 101 acquires information on the actual electricity charge and the actual electricity procurement amount during the service provision period. The electricity price prediction unit 103 predicts the electricity rate based on the actual results based on this information (step S15).

Further, when the service is started to be provided, information on the EV1 mileage and charging pattern for each contracted user can be acquired. For example, the data acquisition unit 101 acquires the mileage information received from the vehicle-mounted device of EV1 from the EV management server 20, and acquires the charging history of EV1 from the charging station management servers 30A and 30B. The user agrees to provide the mileage and charging history information to the business operator S and uses the "EV use service". The electric power demand forecasting unit 102 makes a demand forecast based on the actual number of users based on the number of users registered by the user registration unit 111 and the actual user mileage distribution based on the actual mileage. Then, the service charge determination unit 105 makes an actual profit forecast based on the electricity charge forecast calculated in step S15 and the demand forecast by the electricity demand forecast unit 102 (step S16).
Further, the service charge determination unit 105 reviews the service charge, for example, once a year, based on the actual profit forecast in step S16. The revised service charge will be applied to the user who newly contracts after reviewing the service charge, and this user can freely charge within the range of electric energy equivalent to the contracted service charge, for example, for 3 to 6 years. It can be performed. Next, power procurement will be described.

(Outline of power procurement)
FIG. 4 is a diagram showing an example of a long-term power procurement process according to the embodiment of the present invention.
First, the service charge determination unit 105 determines the service charge by the process of step S14 described with reference to FIG. Then, the user purchases EV1 (or lease contract) at a price including the determined service fee and subscribes to the "EV usage service". Then, the data acquisition unit 101 acquires the information related to the user's contract, and the user registration unit 111 registers the information (step S161). When the user registration is completed, the service management system 100 provides the user with an "EV use service". The service management system 100 operates the service by executing various processes related to the "EV use service". For example, the user rides on the EV1 and travels, and charges the batteries at the charging stations 3A and 3B according to the charge amount of the EV1 battery. During this period, in the service management server 10, the user power management unit 112 manages the charge amount for each user, and the point determination unit 106 gives the user points determined by a predetermined method each time the user charges. To do. In addition, the service management server 10 acquires mileage and charging history information for each user via the data acquisition unit 101. The electric power demand forecasting unit 102 predicts the electric power demand based on the mileage and the charging history for each user (step S17).

Next, the procurement planning unit 104 formulates a procurement plan based on a long-term power demand, a power source plan, a fuel price, and the like (step S18). For example, the maximum value of high-accuracy power demand is determined based on the user's mileage and charging history, and the high-accuracy power demand is procured cheaply by, for example, a PPA contract, and the remaining low-accuracy power demand is obtained. Makes planning information to be procured from the market every day.
The business operator S concludes a long-term power procurement contract utilizing the PPA contract, futures trading, option trading, etc. with the electric power company based on the procurement plan drafted by the procurement planning department 104. As a source of relatively inexpensive electric power for high-accuracy demand, there are a factory equipped with a combined heat and power power generation facility (cogeneration system) and a power plant equipped with a depreciated power generation facility. In addition, there are renewable energy power generation facilities and the like as sources of electric power for low-accuracy demand.

As described above with reference to FIGS. 3 and 4, according to the “EV utilization service” of the charge prepaid system of the present embodiment, it is possible to predict the long-term power demand with high accuracy, and thus the power supply side. Can generate electricity in a planned and stable manner, leading to a reduction in social costs. In addition, the business operator S can increase the reliable power demand by a larger number of EV1s as the number of users is acquired, and can procure the power at a lower cost by a long-term contract with the power company. , Service charges can be reduced. As a result, it is possible to develop attractive services for users, promote the use of EVs, and contribute to solving environmental problems.

(Overview of EV usage services)
Next, the processing during the operation of the "EV use service" will be described.
FIG. 5 is a diagram showing an example of processing during operation in one embodiment according to the present invention.
First, the electric power demand forecasting unit 102 predicts the electric power demand based on the mileage and the charging history for each user (step S17). The electric power price prediction unit 103 predicts the electric power price (step S20). At this time, the electric power price prediction unit 103 predicts the electric power price in the energy market and the electric power price in the ancillary market. The price forecast in step S20 is, for example, an hourly short-term price forecast, whereas step S10 in FIG. 3 was a long-term forecast. Next, the point determination unit 106 determines points based on, for example, the predicted electric power price (step S22). For example, when a predicted value of the electric power price is input, a function that outputs a larger point if the electric power price is low and a smaller point if the electric power price is high determines the points to be given when the user charges. In addition to the electric power price, the point determination unit 106 determines the size of points to be given to the user according to the transaction amount of the ancillary service, the availability of the charging station 3A, and the price of EV1 in the second-hand market. These will be described later (Fig. 6). Further, the point information guide unit 107 notifies the information terminal 40 of the point information based on the electric power price. The user decides whether to charge based on the information of the notified point. The business operator S controls the charging behavior of the user by guiding the point information based on the electric power price forecast, and controls the electric power demand.

Further, the procurement planning unit 104 formulates an electric power procurement plan based on a short-term electric power price forecast and an electric power demand forecast (step S23). The procurement planning unit 104 notifies the electric power supplier of the drafted plan information and requests the electric power supply. Electricity sources generate electricity based on the plan. Further, for example, when the procurement amount based on the long-term power procurement plan is insufficient, the procurement planning unit 104 selects the cheapest power from the current market price and plans to purchase the power. The business operator S procures electric power from the electric power supplier based on the procurement plan drafted by the procurement planning unit 104. Next, the simultaneous equal amount control unit 109 monitors whether or not the electric power is supplied as planned (step S24). Specifically, the simultaneous equal amount control unit 109 determines whether or not, for example, the fluctuation amount of the renewable energy is stabilized by ESS4 from the viewpoint of the simultaneous equal amount. Simultaneous equal amount means to keep the difference between the amount of electric power generated and the amount of electric power consumed in a certain period within a predetermined range. If the same amount cannot be observed at the same time, an imbalance fee will be charged as a penalty. For example, if the supply of renewable energy falls below a predetermined tolerance from the planned amount of power, it may be subject to imbalance charges. In such a case, the simultaneous equal amount control unit 109 instructs the ESS management server 60 via the communication unit 120 to output the reduced electric energy from the ESS 4 (step S25). The ESS management server 60 controls to output the electric power instructed by the ESS 4.

Further, the charging stand 3A supplies electric power to EV1 (step S26). At this time, the simultaneous equal amount control unit 109 monitors whether or not the power supply amount (charge amount) by the charging stand 3A at a predetermined time (for example, 1 hour) deviates from the output planned from the viewpoint of the simultaneous equal amount. To do. For example, when the output is lower than the planned value by a predetermined value or more, the simultaneous equal amount control unit 109 supplies the divergent electric energy from the charging station 3A to the ESS 2 to the charging station management server 30A via the communication unit 120. Instruct to do so (step S27). The charging station management server 30A outputs the power instructed from the charging station 3A to the ESS2, and outputs the power so that the simultaneous equal amount plan is executed. Further, for example, when the output exceeds the planned value due to an unexpected charging behavior, the simultaneous equal amount control unit 109 transfers the amount of power for the deviation from the ESS 2 to the charging station management server 30A via the communication unit 120. Instruct to supply to the charging stand 3A. The charging station management server 30A supplies the instructed power from the ESS 2 to the charging station 3A to make up for the excess. In this way, ESS2 and ESS4 contribute to the response to a decrease in the output of the quick charging stand, avoidance of imbalance, the response to fluctuations in the output of renewable energy, and the increase in profits due to ancillary transactions.

Further, when EV1 is charged from the charging stations 3A and 3B or the charging device 5, the user-utilized power management unit 112 transmits the charge amount information from the charging station management servers 30A and 30B or the power supply management server 50 via the communication unit 120. And subtract it from the usable charge amount recorded in the storage unit 121 in association with the user. If the available charge reaches 0 as a result of the subtraction, the user will not be able to charge and will have to renew the contract and pay an additional service fee. Further, at the time of charging, the user power management unit 112 grasps whether the EV1 is charged using the public charging stands 3A and 3B or the household charging device 5 (step S28).

Next, the point determination unit 106 performs a process of giving points to the charging behavior of the user (step S29). For example, the point determination unit 106 records the points determined in step S22 in the storage unit 121 in association with the charging user. Alternatively, when the point determined in step S22 is a point for a unit charge amount, the point determination unit 106 stores the determined point and the charge amount in the storage unit 121 in association with the user as a point to be given a value obtained by multiplying the determined point and the charge amount. Record.
Next, the electric power charge calculation unit 110 calculates the electric power charge for the actually supplied electric power. The electricity charge calculation unit 110 performs the calculated electricity charge payment process via the payment server 70 (step S31).

Next, the V2G service will be described. The V2G service of the present embodiment is a service for selling the electric power of the EV1 battery of the user to the market. The V2G service market includes a demand response (DR) market and an ancillary (AS) market. The user can optionally use the V2G service to provide the electric power of the EV battery and obtain the compensation. The V2G service management unit 113 first selects a user (EV1) suitable for the V2G service based on the mileage and charging history of EV1 obtained via the charging station management servers 30A and 30B (step S33). Since the V2G service puts a burden on the battery, the EV1 battery is consumed. Therefore, for example, EV1 equipped with an EV1 battery that is charged a large number of times is not suitable for the V2G service and is excluded from the selection target. When a user (EV1) suitable for the V2G service is selected, the V2G service management unit 113 participates in the V2G service and diagnoses the timing when the power can be sold at a high price based on the current power price and price forecast in the ancillary market. (Step S34). The V2G service management unit 113 notifies the user's information terminal 40 selected in step S33 of the optimum time zone in which the user can easily make a profit via the communication unit 120. The user participates in the V2G service based on the notified timing information. For example, the user provides the EV1 battery to the electric power company by connecting the EV1 to the charging device 5 at home. The electric power company performs a payment process that pays the user for the amount of electric power that can be sold. At this time, a part of the brokerage fee is paid to the business operator S.

The V2G service management unit 113 determines the optimum time zone by an algorithm that calculates the transaction timing (timing, price) that maximizes the user profit in the balance between the profit from V2G and the deterioration of the EV1 battery. , The V2G transaction may be automatically performed on the condition that the charging device 5 and the EV1 are connected.

When the sale of electric power by V2G is successful, the point determination unit 106 calculates points according to the amount of electric power supplied or the transaction amount and gives them to the user who uses the V2G service. For example, the point determination unit 106 calculates points to be given by multiplying the unit points per 1 kWh by the transaction amount, and records the calculated points in the storage unit 121 in association with the user.

(Point determination process)
Next, the point determination process will be described in more detail.
FIG. 6 is a diagram showing an example of a point determination process according to the embodiment of the present invention.
First, the electric power demand forecasting unit 102 predicts the electric power demand for the EV1 traveling based on the mileage and the charging history for each user (step S17). Further, the electric power price forecasting unit 103 updates the demand forecast based on the weather information and the climate information (step S40). For example, when the temperature is high, processing such as adding the amount of electric power consumed by the cooling inside the vehicle is performed. Further, the electric power price prediction unit 103 predicts the electric power price (the above-mentioned energy price, negawatt price, and ancillary price) in consideration of the influence of the weather and climate on the production amount of renewable energy (step S20). For example, when the supply from the regenerated energy cannot be expected due to the deterioration of the weather, the electric power price prediction unit 103 sets the electric power price by fossil fuel as the energy price prediction.
Alternatively, the electric power price prediction unit 103 may further predict the electric power price in consideration of the day of the week, the month, the season, and the like.

Further, the point determination unit 106 determines the points to be given to the user (step S22). The point determination unit 106 determines the points to be given at the time of charging according to the electric power price predicted by the electric power price prediction unit 103. Specifically, the point determination unit 106 sets a small point when the predicted power price is high, and sets a large point when the predicted power price is low (step S41a). Further, the charging station guide unit 108 receives information indicating the usage status of the charging station 3A from the charging station management server 30A for the charging station 3A managed by the business operator S, and the usage rate of each charging station 3A (for example). If 1 out of 3 units is used, 33%, etc.) is calculated, and this is used as the degree of congestion. The point determination unit 106 uses the congestion degree calculated by the charging stand guide unit 108 as an input, and calculates points by using a function or the like that outputs a larger point as the congestion degree is lower (step S41b). Further, the charging stand guide unit 108 transmits the degree of congestion of each charging station 3A to the user's information terminal 40 via the communication unit 120. Alternatively, the charging station guide unit 108 may notify the information for guiding the charging station 3A with a low degree of congestion. The above two point calculation methods are the addition of points to the user's charging behavior.

Further, when the user uses the V2G service to provide the EV1 battery to the electric power company, the V2G service management unit 113 acquires information on the transaction volume at that time from the electric power supply management server 50 (step S42). The point determination unit 106 determines the points to be given according to the transaction volume of the electric power supplied to the ancillary market. Specifically, the point determination unit 106 calculates points by a function or the like that inputs a transaction amount and outputs a larger point as the transaction amount increases (step S41c). Alternatively, the point determination unit 106 may calculate a larger point as the transaction amount is larger, according to the transaction amount (transaction amount × market price).

The point information guidance unit 107 notifies the information terminal 40 of the negawatt price predicted by the electric power price prediction unit 103. The user can determine when to charge based on the notified negawatt price. For example, if the negawatt price at night is cheaper than the negawatt price during the day, the user can be informed of the negawatt price to encourage the user to charge the negawatt at night, thereby stabilizing the power system.
Further, the V2G service management unit 113 notifies the user who can recommend the use of the V2G service of the market price information based on the ancillary price predicted by the electric power price prediction unit 103.

Further, the point determination unit 106 determines the points to be given according to the market price of EV1 or the EV1 battery when the user sells the EV1 or EV1 battery to the second-hand market. Specifically, the point determination unit 106 calculates points by a function or the like that inputs a market price and outputs a larger point as the market price is higher (FIG. 7).
FIG. 7 is a diagram showing an example of resale processing of a battery or the like according to the embodiment of the present invention.
The EV / battery value assessment unit 114 assesses the value of the EV1 or EV1 battery based on the EV1 mileage, charging history, or information indicating the charging state of the EV1 battery (step S50). The mileage of EV1 is acquired from the EV management server 20. The EV1 charging history and the EV1 battery charging status are acquired from the charging stand management server 30A. Further, the EV / battery value assessment unit 114 calculates the battery replacement time and price based on the information on the market price of the EV and the battery and the assessed value (step S51). The EV / battery value assessment unit 114 determines that the replacement time is, for example, the time when a high price is attached based on the transition of the market price. The EV / battery value assessment unit 114 notifies the information terminal 40 of information such as the current price of the EV1 used by the user and whether or not the battery for EV1 is suitable for replacement via the communication unit 120. When the user refers to this information and replaces the EV1 battery, for example, the operator S purchases the used EV1 battery. At this timing, the point determination unit 106 gives the user points according to the value assessed by the EV / battery value assessment unit 114. The used EV1 battery purchased by the operator S is sold to the market, rented to a user of the "EV usage service", or used for ESS4. The operator S may set the deteriorated state of the battery required by the ESS 4 and purchase the EV1 battery in the same deteriorated state as the set deteriorated state at a high price.

When charging, using the V2G service, or selling the EV1 battery, the user is given points determined by the above method, and the user can use these points when replacing the EV1 battery or replacing the EV1 vehicle body. It can be used at times. That is, the user can purchase a new battery or a vehicle body at a low price according to the points.

Next, the flow of the service charge determination process and the flow of the point determination process of the present embodiment will be described.
FIG. 8 is a flowchart showing an example of the service charge determination process according to the embodiment of the present invention.
First, the electric power price forecasting unit 103 predicts a long-term electric power charge based on a long-term electric power demand forecast, a long-term power source plan, a long-term fuel price forecast, and the like (step S101). Next, the electric power demand forecasting unit 102 determines the electric power demand for a certain period required for providing the EV utilization service based on the predicted number of users and the distribution of the mileage and the charging history of a plurality of electric vehicles. Predict (step S102). Next, the Procurement Planning Department 104 can procure electricity charges (wholesale electricity prices) for a certain period (3 to 6 years) based on long-term electricity rate forecasts, electricity demand forecasts, actual values of electricity prices under PPA contracts, etc. ) Is calculated (step S103). Next, the service charge determination unit 105 predicts the business revenue based on the electric power demand amount and the electric power wholesale price for a certain period, and determines the service charge per EV capable of continuing the business (step S104).

According to the service charge determination process of the present embodiment, the business operator S can procure cheap electric power from the power generation business operator that presents cheap electric power in response to the demand with high accuracy. In addition, the power generation company can procure low-priced fuel based on a long-term plan in advance, and can prepare for securing personnel and consumables in advance, so that cheap electric power can be supplied. In addition, the user can freely use (run) EV1 for a certain period of time without worrying about the cost by paying the service charge set based on the low electricity charge.

FIG. 9 is a flowchart showing an example of the point determination process according to the embodiment of the present invention.
When the timing for determining the points is reached (step S200), the point determination unit 106 determines the points to be given to the user. For example, when the electricity charge (energy price) procured in the market is predicted every hour (every predetermined time α), the point determination unit 106 determines the points to be given at the time of charging every hour. Specifically, the electricity price prediction unit 103 predicts the electricity rate every hour (step S201), and the point determination unit 106 acquires the predicted amount. Next, the point determination unit 106 determines points according to the predicted amount (the cheaper the predicted amount, the larger the points) (step S202). Next, when EV1 charges, the point determination unit 106 gives the user a determined point (or a value obtained by multiplying the determined point by the charge amount) (step S203).

Further, the point determination unit 106 determines the points for each charging station 3A according to the degree of congestion each time the charging station guide unit 108 calculates the degree of congestion of the charging station 3A. For example, when the degree of congestion is calculated every 30 minutes (every predetermined time β), the point determination unit 106 determines points for each charging station 3A to be given at the time of charging every 30 minutes. Specifically, the charging stand guide unit 108 calculates the degree of congestion for each charging station 3A every 30 minutes (step S204), and the point determination unit 106 acquires the degree of congestion for each charging station 3A. Next, the point determination unit 106 determines points according to the degree of congestion (larger points as the degree of congestion is lower) for each charging stand 3A (step S205). Next, when EV1 charges at the charging stand 3A, the point determination unit 106 grants the points determined for the charging stand 3A to the charging user in addition to the points given in step S203 (step S206). ).

Further, the point determination unit 106 determines points according to the transaction amount each time the user supplies the EV1 battery to the system by the V2G service. For example, when the EV1 battery is connected to the grid and power is supplied by the V2G service (at the time of supply), the V2G service management unit 113 calculates the transaction amount by the V2G service (step S207). The point determination unit 106 acquires the transaction amount. Next, the point determination unit 106 determines points according to the transaction amount (the higher the transaction amount, the larger the points), and gives the points to the user who made the transaction (step S208).

Further, when the user requests the operator S to evaluate the EV1 or the EV1 battery (at the time of the assessment), the point determination unit 106 determines the points according to the value of the EV1 or the EV1 battery. First, the user operates the information terminal 40 to request an assessment of the EV1 battery or the like. The service management server 10 receives the request information, and the EV / battery value assessment unit 114 assesses the value of the EV1 battery or the like (step S209). The point determination unit 106 acquires the assessment result (assessment amount). Next, the point determination unit 106 determines points according to the assessed amount (the higher the assessed amount, the larger the points) (step S210). Next, when the user sells the EV1 battery or the like, the point determination unit 106 gives the user the points determined at the time of assessment (step S211).

According to the point determination process of the present embodiment, the power system can be stabilized by encouraging the user to charge at a date and time / place (charging stand 3A) where the points are high. In addition, since the operator S collects the service fee on a prepaid basis in exchange for the predetermined amount of usable electric power, it is possible to increase the profit by having the user charge the electric power when the electric power can be procured at a low cost. it can. On the other hand, the user can acquire points at the time of charging, and by using the points, he / she can purchase a new EV1 battery at a lower cost when replacing the EV1 battery.

(Hardware configuration)
The service management server 10, the EV management server 20, the charging stand management servers 30A and 30B, the information terminal 40, the power supply management server 50, the ESS management server 60, and the payment server 70 can be realized by using, for example, a general computer 500. Can be done. FIG. 10 shows an example of the configuration of the computer 500.
FIG. 10 is a diagram showing an example of the hardware configuration of the service management device according to the present invention.
The computer 500 includes a CPU (Central Processing Unit) 501, a RAM (Random Access Memory) 502, a ROM (Read Only Memory) 503, a storage device 504, an external I / F (Interface) 505, an input device 506, an output device 507, and communication. It has I / F 508 and the like. These devices send and receive signals to and from each other via bus B.

The CPU 501 is an arithmetic unit that realizes each function of the computer 500 by reading programs and data stored in the ROM 503, the storage device 504, and the like on the RAM 502 and executing processing. For example, each of the above-mentioned functional units is a function provided in the computer 500 by the CPU 501 reading and executing a program stored in the ROM 503 or the like. The RAM 502 is a volatile memory used as a work area or the like of the CPU 501. The ROM 503 is a non-volatile memory that retains programs and data even when the power is turned off. The storage device 504 is realized by, for example, an HDD (Hard Disk Drive), an SSD (Solid State Drive), or the like, and stores an OS (Operation System), an application program, various data, and the like. The external I / F 505 is an interface with an external device. The external device includes, for example, a recording medium 509 and the like. The computer 500 can read and write to the recording medium 509 via the external I / F 505. The recording medium 509 includes, for example, an optical disk, a magnetic disk, a memory card, a USB (Universal Serial Bus) memory, and the like.

The input device 506 is composed of, for example, a mouse, a keyboard, or the like, and inputs various operations or the like to the computer 500 in response to an instruction from the operator. The output device 507 is realized by, for example, a liquid crystal display, and displays the processing result by the CPU 501. The communication I / F 508 is an interface for connecting the computer 500 to a network such as the Internet by wire communication or wireless communication. The bus B is connected to each of the above-mentioned constituent devices, and various signals and the like are transmitted and received between the constituent devices.

The process of each process in the service management server 10 described above is stored in a computer-readable recording medium in the form of a program, and the computer of the service management server 10 reads and executes this program to perform the process. Is done. Here, the computer-readable recording medium refers to a magnetic disk, a magneto-optical disk, a CD-ROM, a DVD-ROM, a semiconductor memory, or the like. Further, this computer program may be distributed to a computer via a communication line, and the computer receiving the distribution may execute the program.

Further, the above program may be for realizing a part of the above-mentioned functions. Further, it may be a so-called difference file (difference program) that can realize the above-mentioned function in combination with a program already recorded in the computer system.
Further, even if the service management server 10, the EV management server 20, the charging stand management servers 30A and 30B, the information terminal 40, the power supply management server 50, the ESS management server 60, and the payment server 70 are configured by one computer. It may be composed of a plurality of computers connected so as to be able to communicate with each other.

In addition, it is possible to replace the components in the above-described embodiment with well-known components as appropriate without departing from the spirit of the present invention. Further, the technical scope of the present invention is not limited to the above-described embodiment, and various modifications can be made without departing from the spirit of the present invention. The point determination unit 106 is an example of an incentive determination unit. The service management server 10 is an example of a service management device.

1 ... EV
2,4 ... ESS
5 ... Charging device 3A, 3B ... Charging stand 100 ... Service management system 10 ... Service management server 101 ... Data acquisition unit 102 ... Electricity demand forecasting unit 103 ... Electricity price forecast Unit 104 ・ ・ ・ Procurement planning unit 105 ・ ・ ・ Service charge determination unit 106 ・ ・ ・ Point determination unit 107 ・ ・ ・ Point information guidance unit 108 ・ ・ ・ Charging station guidance unit 109 ・ ・ ・ Simultaneous same amount control unit 110 ・・ ・ Electricity charge calculation unit 111 ・ ・ ・ User registration unit 112 ・ ・ ・ User power management unit 113 ・ ・ ・ V2G service management unit 114 ・ ・ ・ EV ・ Battery value assessment unit 120 ・ ・ ・ Communication unit 121 ・ ・ ・Storage unit 20 ... EV management server 30A, 30B ... Charging station management server 40 ... Information terminal 50 ... Power supply management server 60 ... ESS management server 70 ... Payment server

Claims (9)

A method of managing services that incentives users of electric vehicles through one or more computers.
A step of calculating the amount of electric power demand for a certain period required for charging the electric vehicle based on the charging history or mileage information of the electric vehicle used by the plurality of users.
A step of predicting the wholesale electricity price for each time zone included in the fixed period according to the electricity demand, and
A step of calculating a first incentive according to the wholesale price of electricity for charging the electric vehicle, and
The step of assessing the value of the electric vehicle or the battery contained in the electric vehicle, and
A step of calculating a second incentive according to the assessed value when the electric vehicle or the battery is sold, and
Have,
In the step of calculating the first incentive, the lower the wholesale price of electric power, the larger the value of the first incentive is calculated .
In the step of calculating the second incentive, the higher the value, the larger the value of the second incentive is calculated.
Management method. A method of managing services that incentives users of electric vehicles through one or more computers.
A step of calculating the amount of electric power demand for a certain period required for charging the electric vehicle based on the charging history or mileage information of the electric vehicle used by the plurality of users.
A step of predicting the wholesale electricity price for each time zone included in the fixed period according to the electricity demand, and
A step of calculating an incentive according to the wholesale price of electricity for charging the electric vehicle, and
Based on the predicted number of users and the distribution of mileage or charging history of the plurality of electric vehicles, the power demand for a certain period required for providing the service to the predicted number of users is calculated. Steps to do and
The steps to predict long-term wholesale electricity prices over a period of time,
The step of calculating the contract fee per electric vehicle in the service based on the electric power demand for the fixed period and the long-term wholesale electric power price for the fixed period, and
Have,
In the step of calculating the incentive according to the wholesale electric power price, the lower the wholesale electric power price, the larger the incentive is calculated.
Management method. The step of calculating the degree of congestion of the charging station for charging the electric vehicle, and
It has a step of calculating an incentive according to the degree of congestion of the charging station for charging the electric vehicle.
Calculate the incentive with a larger value for charging at the charging station with less congestion.
The management method according to claim 1 or 2. Steps to notify support information for V2G (Vehicle to Grid) services,
When the electric power is supplied from the battery provided in the electric vehicle by the V2G service, the step of calculating an incentive according to the amount of the supplied electric power with respect to the electric power supply is provided.
The larger the amount of power supplied, the larger the value of the incentive is calculated.
The management method according to any one of claims 1 to 3. An electric power demand forecasting unit that calculates the electric power demand for a certain period required for charging the electric vehicle based on the charging history or mileage information of the electric vehicle used by a plurality of users.
An electric power price forecasting unit that predicts a wholesale electric power price for each time zone included in the fixed period according to the electric power demand.
The EV / Battery Value Assessment Department, which assesses the value of the electric vehicle or the battery of the electric vehicle,
When the first incentive for charging the electric vehicle is calculated according to the wholesale price of electric power and the electric vehicle or the battery is sold, the EV / battery value assessment unit assesses the battery. An incentive decision unit that calculates a second incentive according to value,
Have,
The incentive determination unit calculates the first incentive with a larger value as the wholesale price of electric power is lower, and calculates the second incentive with a larger value as the value of the battery is higher.
Service management device. A service management device that manages services that give incentives to users of electric vehicles.
A first power demand forecasting unit that calculates the power demand for a certain period required for charging the electric vehicle based on the charging history or mileage information of the electric vehicle used by the plurality of users.
A first electric power price forecasting unit that predicts a wholesale electric power price for each time zone included in the fixed period according to the electric power demand, and a first electric power price forecasting unit.
An incentive determination unit that calculates an incentive for charging the electric vehicle according to the wholesale price of electricity,
Based on the predicted number of users and the distribution of mileage or charging history of the plurality of electric vehicles, the power demand for a certain period required for providing the service to the predicted number of users is calculated. The second power demand forecasting department and
A second electricity price forecasting unit that forecasts a long-term wholesale electricity price over a certain period of time,
A charge determination unit that calculates a contract fee for one electric vehicle in the service based on the electric power demand for the fixed period and the long-term wholesale electric power price for the fixed period.
Have,
The incentive determination unit calculates the incentive with a larger value as the wholesale price of electricity is lower.
Service management device. The service management device according to claim 5 or 6,
A charging station for charging the electric vehicle and
A charging station management server that stores charging history information using the charging station,
Service management system with. Computer,
A means for calculating the amount of electric power demand for a certain period required for charging the electric vehicle based on the charging history or mileage information of the electric vehicle used by a plurality of users.
A means for predicting the wholesale electricity price for each time zone included in the fixed period according to the electricity demand,
A means for calculating the first incentive for charging an electric vehicle, which is a first incentive according to the wholesale electric power price, and the value is larger as the wholesale electric power price is lower.
A means for assessing the value of the electric vehicle or the battery of the electric vehicle,
A second incentive according to the value of the battery, the higher the value assessed by the means for assessing the value of the battery when the electric vehicle or the battery is sold, the larger the value of the second. Means to calculate incentives for
A program that functions as. Computers that manage services that give incentives to users of electric vehicles,
A means for calculating the amount of electric power demand for a certain period required for charging the electric vehicle based on the charging history or mileage information of the electric vehicle used by the plurality of users.
A means for predicting the wholesale electricity price for each time zone included in the fixed period according to the electricity demand,
A means for calculating the incentive for charging the electric vehicle according to the wholesale electricity price, which is larger as the wholesale electricity price is lower.
Based on the predicted number of users and the distribution of mileage or charging history of the plurality of electric vehicles, the power demand for a certain period required for providing the service to the predicted number of users is calculated. Means to do,
A means of predicting long-term wholesale electricity prices over a period of time,
A means for calculating a contract fee per electric vehicle in the service based on the electric power demand for the fixed period and the long-term wholesale electric power price for the fixed period.
A program to function as.

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