Charging control device, charging control method, and program

Abstract

To provide a charge control device, a charge control method, and a program capable of efficiently and effectively utilizing electric power generated using renewable energy with a simple configuration.SOLUTION: A charging control device includes a weather forecast information acquisition unit that acquires weather forecast information, a recommended charging day determination unit that determines a day on which surplus power is likely to occur in power generated using renewable energy on the basis of the weather forecast information, and a notification unit that notifies a user of the determined date as a recommended charging date on which charging is recommended.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present invention relates to a charge control device, a charge control method, and a program. [Background technology]

[0002] A charging management system that optimizes and controls the timing of charging a plurality of electric vehicles so as to level the power load is already known (see, for example, Patent Document 1).

[0003] As the supply ratio of renewable energy increases with the large-scale introduction of renewable energy sources such as solar power generation, there are cases where an oversupply of renewable energy occurs on holidays when electricity demand is low. In order to maintain the balance between supply and demand of electricity, the number of times that renewable energy output control (restriction) is being implemented is increasing. For example, electric power companies are implementing online output restriction of some renewable energy sources for power generation companies based on supply capacity (power generation amount) and accurate demand forecasts such as "electricity forecasts." In recent years, it has been recognized that the waste of surplus electricity resulting from output restriction without effective use is an issue. To address this issue, demonstrations are underway of VPP (Virtual Power Plant) systems, which adjust supply and demand by sending battery charging requests from power suppliers or aggregators to a large number of consumers to actively consume potential surplus electricity, and there is a need to involve more general consumers and effectively control electricity demand. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] Japanese Patent Application Laid-Open No. 2007-282383 Summary of the Invention [Problem to be solved by the invention]

[0005] However, because VPPs control the supply and demand of electricity between multiple power suppliers and multiple consumers, the system becomes large in scale and processing becomes complicated. In addition, consumers must enter into contracts with power suppliers and aggregators in advance.

[0006] In view of the above-mentioned problems, an object of the present invention is to provide a charging control device, a charging control method, and a program that can efficiently and effectively utilize electricity generated using renewable energy with a simple configuration. [Means for solving the problem]

[0007] In order to solve the above-described problems, a charge control device according to one aspect of the present invention includes a weather forecast information acquisition unit that acquires weather forecast information, a recommended charging day determination unit that determines, based on the weather forecast information, a day on which surplus power is likely to be generated from power generated using renewable energy, and a notification unit that notifies a user of the determined day as a recommended charging day on which charging is recommended. , erase The device is equipped with a power consumption acquisition unit that acquires the amount of power consumed, and the recommended charging day determination unit predicts the amount of charge that can be made on each date from the amount of power consumed, and determines the recommended charging day based on the predicted amount of charge that can be made.

[0008] A charge control method according to one aspect of the present invention includes a weather forecast information acquisition step in which a weather forecast information acquisition unit acquires weather forecast information; a recommended charge day determination step in which a recommended charge day determination unit determines, based on the weather forecast information, a day on which surplus power is likely to be generated from power generated using renewable energy; and a notification step in which a notification unit notifies a user of the determined day as a recommended charge day on which charging is recommended. , erase The method includes a power consumption acquisition process in which the power consumption acquisition unit acquires the amount of power consumed, and the recommended charging day determination process in which the recommended charging day determination unit predicts the amount of charge that can be made on each date from the amount of power consumed and determines the recommended charging day based on the predicted amount of charge that can be made.

[0009] A program according to one aspect of the present invention includes a computer including: a weather forecast information acquisition unit that acquires weather forecast information; a recommended charging day determination unit that determines, based on the weather forecast information, a day on which surplus power is likely to be generated from power generated using renewable energy; and a notification unit that notifies a user of the determined day as a recommended charging day on which charging is recommended. , erase The power consumption acquisition means acquires the amount of power consumed, and the recommended charging date determination means predicts the amount of charge that can be made on each date from the amount of power consumed, and determines the recommended charging date based on the predicted amount of charge that can be made. [Effects of the Invention]

[0010] According to the present invention, it is possible to efficiently and effectively utilize electric power generated using renewable energy with a simple configuration. [Brief explanation of the drawings]

[0011] [Figure 1] 1 is a block diagram showing an example of a schematic configuration of a charge management system according to a first embodiment of the present invention. [Figure 2] 3 is a flowchart showing an example of the flow of a charge control process executed by the charge control device according to the first embodiment of the present invention. [Figure 3] FIG. 3 is an image diagram showing an example of a charging guidance screen displayed on a user terminal according to the first embodiment of the present invention. [Figure 4] 10 is a flowchart showing an example of the flow of a charge control process executed by a charge control device according to a second embodiment of the present invention. [Figure 5] FIG. 10 is an image diagram showing an example of a charging guidance screen displayed on a user terminal according to the second embodiment of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0012] Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings.

[0013] <1. First embodiment> First, the first embodiment will be described with reference to FIGS.

[0014] <1-1. Configuration of the charging management system> A schematic configuration of a charge management system 1 according to a first embodiment will be described with reference to Fig. 1. Fig. 1 is a block diagram showing an example of a schematic configuration of a charge management system 1 according to a first embodiment of the present invention.

[0015] The charge management system 1 is a system that controls charging of storage batteries used by consumers. As shown in Fig. 1, the charge management system 1 includes a charge control device 10, a user terminal 20, a power meter 30, a distribution board 40, a charger 50, and an EV (Electric Vehicle) 60.

[0016] The charge control device 10 is a device that controls charging of a storage battery used by a consumer. The charge control device 10 is connected to a power meter 30 and a distribution board 40. The charge control device 10 is also connected to a user terminal 20 via wireless communication. The user terminal 20 is a terminal used by a consumer who is a user of the charge management system 1. The user terminal 20 according to the first embodiment is, for example, a smartphone. Note that the user terminal 20 is not limited to a smartphone and may be a tablet terminal, a PC (Personal Computer), or the like. The power meter 30 is a device that measures the amount of power used by a consumer. The distribution board 40 is a device that distributes power to be supplied to consumers. As shown in FIG. 1 , the charge management system 1 may be provided with a plurality of distribution boards 40. Each of the plurality of distribution boards 40 is connected to a charging device 50 to which power is supplied. In addition, all of the distribution boards 40 are also connected to the charging control device 10. The charging device 50 is a device that charges an electric vehicle. As shown in Fig. 1, the charging management system 1 may be provided with a plurality of charging devices 50. Each of the plurality of charging devices 50 is connected to an electric vehicle 60 to which it supplies power. An electric vehicle 60 (storage battery) is an object to be charged in the charge management system 1. As shown in Fig. 1, the charge management system 1 may be provided with a plurality of electric vehicles 60. The plurality of electric vehicles 60 are each connected to a charging device 50 via a charging cable to receive power.

[0017] Here, the functional configuration of the charge control device 10 according to the first embodiment will be described. As shown in FIG. 1, the charging control device 10 includes a calendar information acquisition unit 101, a weather forecast information acquisition unit 102, a power consumption acquisition unit 103, a recommended charging day determination unit 104, a notification unit 105, a charging control unit 106, a timing unit 107, and an operation input unit 108.

[0018] The calendar information acquisition unit 101 has a function of acquiring calendar information. For example, the calendar information acquisition unit 101 acquires calendar information from a service that provides calendar information via the Internet, etc. The calendar information includes the date, the day of the week on which each date falls, and data indicating whether each date is a holiday or a weekday.

[0019] The weather forecast information acquisition unit 102 has a function of acquiring weather forecast information. For example, the weather forecast information acquisition unit 102 acquires weather forecast information from a service that provides weather forecasts via the Internet or the like. The weather forecast information includes, for example, a weather forecast for one week. Note that the number of days covered by the weather forecast information acquisition unit 102 is not limited to one week, and weather forecast information for any number of days may be acquired.

[0020] The power consumption amount acquiring unit 103 has a function of acquiring the amount of power consumption. For example, the power consumption amount acquiring unit 103 acquires the average daily driving distance from the EV 60, and calculates the average daily power consumption from the acquired average driving distance.

[0021] The recommended charging day determination unit 104 has a function of determining a recommended charging day. For example, the recommended charging day determination unit 104 determines a recommended charging day based on calendar information acquired by the calendar information acquisition unit 101 and weather forecast information acquired by the weather forecast information acquisition unit 102. Specifically, the recommended charging day determination unit 104 determines a day on which surplus power is likely to be generated from power generated using renewable energy (for example, solar power in the first embodiment) based on the calendar information and the weather forecast information. Then, the recommended charging day determination unit 104 sets the determined day as a recommended charging day on which charging is recommended. As an example, the recommended charging day determination unit 104 determines that surplus power is likely to be generated on a day when the weather forecast is "sunny." Furthermore, the recommended charging day determination unit 104 determines that surplus power is more likely to be generated on holidays than on weekdays.

[0022] The notification unit 105 has a function of notifying the user of the recommended charging date. For example, the notification unit 105 transmits data indicating the recommended charging date determined by the recommended charging date determination unit 104 to the user terminal 20. The notification unit 105 may notify the user of the recommended charging date by email or a social networking service (SNS), or may notify the user of the recommended charging date by displaying a charging guidance screen indicating the recommended charging date on the user terminal 20.

[0023] The charging control unit 106 has a function to control the charging of the EV 60. For example, when the date measured by the timer unit 107, which will be described later, reaches the recommended charging date, the charging control unit 106 causes the charging device 50 to charge the EV 60. At this time, the charging control unit 106 controls the charging device 50 to charge the EV during a time period when the amount of energy obtained from sunlight is large (for example, from 8:00 to 16:00). For example, the charging control unit 106 causes the charging device 50 to charge the EV 60 by controlling an electromagnetic relay in the distribution board 40 (turning the branch circuit ON / OFF).

[0024] The clock unit 107 has a function of counting the date and time.

[0025] The operation input unit 108 has a function of accepting operation input.

[0026] <1-2. Processing flow> The flow of the charge control process executed by the charge control device 10 according to the first embodiment will be described with reference to Fig. 2. Fig. 2 is a flowchart showing an example of the flow of the charge control process executed by the charge control device 10 according to the first embodiment of the present invention. The charge control device 10 executes the process shown in Fig. 2 when requested by a user or at a preset time (for example, a fixed time every day).

[0027] As shown in FIG. 2, first, the calendar information acquisition unit 101 acquires calendar information (step S101). Next, the weather forecast information acquisition unit 102 acquires weather forecast information (step S102). Next, the recommended charging day determining unit 104 determines a recommended charging day based on the calendar information acquired by the calendar information acquiring unit 101 and the weather forecast information acquired by the weather forecast information acquiring unit 102 (step S103). The notification unit 105 notifies the user of the determined recommended charging date by, for example, displaying a charging guidance screen on the user terminal 20 (step S104). Next, the charge control unit 106 sets a charge reservation so that the EV 60 is automatically charged during a time period when the amount of energy obtained from sunlight is large (for example, from 8:00 to 16:00) on the recommended charge day (step S105). After the charge reservation, the charge control device 10 ends the charge control process. The charging control unit 106 automatically starts charging the electric vehicle 60 (hereinafter referred to as "automatic charging") at the date and time when the scheduled charging is reached.

[0028] 2 illustrates an example in which the charging control unit 106 sets a charging reservation for automatic charging, but the present invention is not limited to this example. For example, the charging control unit 106 may not set a charging reservation, thereby preventing automatic charging, and the user who has been notified of the recommended charging date may manually charge the EV vehicle 60. Furthermore, even if the charging control unit 106 sets a charging reservation, the EV vehicle 60 may be forced to start charging in a forced charging mode if the user needs to immediately fully charge the EV vehicle 60 due to their own circumstances.

[0029] <1-3.Screen display> A screen display according to the first embodiment will be described with reference to Fig. 3. Fig. 3 is an image diagram showing an example of a charging guidance screen displayed on the user terminal 20 according to the first embodiment of the present invention. As shown in FIG. 3, the charging guidance screen displays a weather forecast, a supply and demand state, and a charging recommendation level for each date for a predetermined period (e.g., one week) from the current date. The charging recommendation level is indicated by a symbol such as circle or triangle. Specifically, a charging recommendation level of "circle" indicates that charging is strongly recommended. A charging recommendation level of "triangle" indicates that charging is moderately recommended. If nothing is displayed for the charging recommendation level, it indicates that charging is not recommended. In the first embodiment, a date for which the charging recommendation level is "circle" is a charging recommendation day.

[0030] The recommended charging day determination unit 104 determines whether the power supply and demand state is "stable," "unstable," or "excess supply" based on the weather forecast information and the calendar information, and sets a day with an "excess supply" as a recommended charging day. For example, the recommended charging day determination unit 104 determines the power supply and demand state by adding the score of the weather forecast information and the score of the calendar information for each date. In the example shown in FIG. 3 , the score of the weather forecast information is 2 if the weather forecast information is "sunny," 1 if the weather forecast information is "cloudy," and 0 if the weather is other than the above. The score of the calendar information is 1 if the calendar information is "holiday," and 0 if the calendar information is "weekday." The supply and demand state is "stable" when the score obtained by adding the score of the weather forecast information and the score of the calendar information is 1 point or less, "unstable" when it is 2 points, and "excess supply" when it is 3 points. The recommended charging day determination unit 104 then sets a day with an "excess supply" as a recommended charging day.

[0031] In the example shown in FIG. 3, the weather forecast for April 1st is "rain," the supply and demand situation is "stable," and charging is not recommended. The weather forecast for April 2nd is "sunny," the supply and demand situation is "unstable," and the degree of recommendation for charging is "△." The weather forecast for April 3rd is "cloudy," the supply and demand situation is "stable," and charging is not recommended. The weather forecast for April 4th is "cloudy," the supply and demand situation is "stable," and charging is not recommended. The weather forecast for April 5th is "sunny," the supply and demand situation is "excess supply," and the degree of recommendation for charging is "good." The weather forecast for April 6th is "sunny," the supply and demand situation is "excess supply," and the charging recommendation level is "good." April 5th and April 6th are holidays. The weather forecast for April 7th is "cloudy," the supply and demand situation is "stable," and charging is not recommended. Therefore, in this example, April 5th and April 6th are days when there is an excess supply and charging is recommended.

[0032] In this way, by notifying the user of the recommended charging date, the user can manually charge the EV vehicle 60 on the recommended charging date. The user may also set and input a charging reservation into the charging control device 10 from the operation input unit 108 so that charging will be automatically performed on the recommended charging date. When the user sets and inputs a charging reservation, the charging control device 10 automatically starts charging during a time period when the amount of energy obtained from sunlight is large on the recommended charging date for which charging has been reserved.

[0033] As described above, the charge control device 10 according to the first embodiment includes a weather forecast information acquisition unit 102 that acquires weather forecast information, a recommended charging day determination unit 104 that determines, based on the weather forecast information, a day on which surplus power is likely to be generated from power generated using renewable energy, and a notification unit 105 that notifies the user of the determined day as a recommended charging day on which charging is recommended. With this configuration, the charge control device 10 can recommend to the user that charging occur on a day on which surplus power is likely to be generated using simple logic for determining a recommended charging day from the weather forecast information. This allows the charge control device 10 to charge the EV 60 (storage battery) with surplus power from the power grid, thereby contributing to maintaining the balance between supply and demand. In other words, by effectively absorbing surplus renewable energy, the frequency and amount of renewable energy output control can be reduced. Therefore, the charge control device 10 enables efficient and effective use of power generated using renewable energy with a simple configuration.

[0034] Furthermore, by expanding this system to areas other than those serviced by power companies where surplus power is frequently generated, it is expected that the amount of power that can be exchanged with other power companies will increase. In addition, since there is no need for contracts between the power supplier or aggregator and the consumer, procedures and communication methods can be simplified, and it is expected that a larger number of consumers will be able to participate.

[0035] Additionally, the recommended charging day determination unit 104 determines that surplus power is more likely to be generated on holidays than on weekdays. This allows the surplus power to be absorbed using the batteries of EVs 60 that are not scheduled to be used on holidays, etc.

[0036] The charge control device 10 also has a charge control unit 106 that automatically charges the storage battery on the recommended charging day. This allows automatic charging on the recommended charging day without the user having to manually charge the battery as long as the charging cable is left connected to the EV 60.

[0037] The renewable energy is sunlight, and the charging control unit 106 charges during the time period when the amount of energy obtained from sunlight is large. This allows automatic charging to be performed at the peak of solar power generation output, that is, at the time when surplus power is most generated.

[0038] 2. Second embodiment Next, a second embodiment will be described with reference to FIGS.

[0039] <2-1. Configuration of the charging management system> The configuration of the charge management system 1 according to the second embodiment is the same as that of the first embodiment, and therefore a description thereof will be omitted.

[0040] The functional configuration of the charge control device 10 according to the second embodiment differs from that of the first embodiment in that the recommended charging day determination unit 104 determines a recommended charging day based on the average daily power consumption in addition to weather forecast information and calendar information. Specifically, the recommended charging day determination unit 104 predicts the amount of charge that can be made on each date from the average power consumption, and determines the recommended charging day based on the predicted amount of charge that can be made. For example, the recommended charging day determination unit 104 determines a day on which the largest amount of charge can be made as the recommended charging day. In the second embodiment, a case will be described in which an incentive is given for contributing to the power grid (adjusting supply and demand) by charging when surplus power is generated. Incentives are awarded according to the amount of charge and the predicted amount of surplus power. The charge control device 10 periodically transmits the charge history to the power supplier (e.g., a power company) or an aggregator and receives the incentive. The recommended charging day determination unit 104 determines the day on which the incentive is greatest as the recommended charging day. For example, the recommended charging day determination unit 104 determines that an incentive is awarded on a sunny day. The recommended charging day determination unit 104 also determines that an incentive is awarded on a holiday. If the incentive is points, the recommended charging day determination unit 104 calculates a point prospect P, which is the expected number of points to be earned, using, for example, the following conditions, and determines the day on which the calculated point prospect P is largest as the recommended charging day.

[0041] The points Wp according to the weather are, for example, 1 point / kWh (1 point for every 1 kWh (kilowatt hour) of charge) when the weather is "sunny," and 0 point / kWh when the weather is other than sunny. Furthermore, the points Hp according to whether it is a weekday or a holiday are, for example, 0 point / kWh when it is a "weekday," and 2 points / kWh when it is a "holiday." If the average daily power consumption (unit: kWh) is Du, the recommended charging day determination unit 104 calculates the expected points P using the following formula (1).

[0042] P = (Du × k) × (Wp + Hp)…(1)

[0043] k is a number that increases with the number of days that have passed, and "Du x k" is the predicted value of the amount of charge that can be made. However, k is set to a range that satisfies the following formula (2). The battery capacity is the battery capacity of the battery installed in the EV vehicle 60. Note that the unit of 0.8 in formula (2) is kWh.

[0044] Qlim(Battery capacity×0.8)-(Du×k)≦0…(2)

[0045] <2-2. Processing flow> The flow of the charge control process executed by the charge control device 10 according to the second embodiment will be described with reference to Fig. 4. Fig. 4 is a flowchart showing an example of the flow of the charge control process executed by the charge control device 10 according to the second embodiment of the present invention. The charge control device 10 executes the process shown in Fig. 4 when requested by a user or at a preset time.

[0046] As shown in FIG. 4, first, the calendar information acquisition unit 101 acquires calendar information (step S201). Next, the weather forecast information acquisition unit 102 acquires weather forecast information (step S202). Next, the power consumption amount obtaining unit 103 obtains the average daily travel distance from the electric vehicle 60, and calculates the average daily power consumption amount from the obtained average travel distance (step S203). Next, the recommended charging day determination unit 104 determines a recommended charging day based on the calendar information acquired by the calendar information acquisition unit 101, the weather forecast information acquired by the weather forecast information acquisition unit 102, and the average daily power consumption acquired by the power consumption acquisition unit 103 (step S204). Next, the notification unit 105 notifies the user of the determined recommended charging date by, for example, displaying a charging guidance screen on the user terminal 20 (step S205). Next, the charge control unit 106 sets a charge reservation so that the EV 60 is automatically charged during a time period when the amount of energy obtained from sunlight is large on the recommended charge date (step S206). After the charge reservation, the charge control device 10 ends the charge control process.

[0047] <2-3.Screen display> A screen display according to the second embodiment will be described with reference to Fig. 5. Fig. 5 is an image diagram showing an example of a charging guidance screen displayed on the user terminal 20 according to the second embodiment of the present invention. As shown in Fig. 5, the charging guidance screen displays the weather forecast, points Wp according to the weather, weekday / holiday classification, points Hp according to weekday / holiday, the amount of charge (unit: kWh), and expected points P for each date for a predetermined period (for example, one week) from the current date. The amount of charge displayed here is a predicted value of the amount of charge.

[0048] In Fig. 5, an example is shown in which the point Wp is 2 when the weather is "sunny," Wp=1 when it is "cloudy," and Wp=0 when it is "rainy." Also, in Fig. 5, an example is shown in which the point Hp is 0 when it is a "weekday," and Hp=1 when it is a "holiday." Also, in Fig. 5, an example is shown in which the average daily power consumption is Du=5 kWh and Qlim=50 kWh. The weather forecast for April 1st is "rain," the points Wp are "0," the weekday / holiday classification is "weekday," the points Hp are "0," the amount that can be charged is "5," and the expected points P are "0." The weather forecast for April 2nd is "sunny," the point Wp is "2," the weekday / holiday classification is "weekday," the point Hp is "0," the amount that can be charged is "10," and the point expectation P is "20." The weather forecast for April 3rd is "cloudy," the point Wp is "1," the weekday / holiday classification is "weekday," the point Hp is "0," the amount that can be charged is "15," and the point prospect P is "15." The weather forecast for April 4th is "cloudy," the point Wp is "1," the weekday / holiday classification is "weekday," the point Hp is "0," the amount that can be charged is "20," and the point prospect P is "20." The weather forecast for April 5th is "sunny," the point Wp is "2," the weekday / holiday classification is "holiday," the point Hp is "1," the amount that can be charged is "25," and the expected point P is "75." The weather forecast for April 6th is "sunny," the point Wp is "2," the weekday / holiday classification is "holiday," the point Hp is "1," the amount that can be charged is "30," and the expected point P is "90." The weather forecast for April 7th is "cloudy," the point Wp is "1," the weekday / holiday classification is "weekday," the point Hp is "0," the amount that can be charged is "35," and the point prospect P is "35." The weather forecast for April 8th is "cloudy," the point Wp is "1," the weekday / holiday classification is "weekday," the point Hp is "0," the amount that can be charged is "40," and the point prospect P is "40." Therefore, in this example, if all the vehicles are charged on April 6th, the expected points P will be maximized, so April 6th is the recommended charging day.

[0049] In this way, by notifying the user of the point prospect P for each date and the day on which the point prospect P is greatest as the recommended charging day, the user can know that they can earn more points if they charge on the recommended charging day. Therefore, the provision of an incentive serves as a motivation, and the possibility that the user will charge on the recommended charging day can be increased.

[0050] In the second embodiment, a case where an incentive is provided is described, but even if an incentive is not provided, the user can be notified of the recommended charging date by indicating the degree of recommendation for charging with symbols such as O or △, as in the first embodiment.

[0051] As described above, the charge control device 10 of the second embodiment includes, in addition to the configuration of the first embodiment, a power consumption acquisition unit 103 that acquires the amount of power consumption, and a recommended charging day determination unit 104 that predicts the amount of charge that can be made on each date from the amount of power consumption and determines the recommended charging day based on the predicted amount of charge. With this configuration, in addition to the effects of the first embodiment, it is possible to determine the optimal charging timing from the amount of power consumption of the EV 60 (storage battery) and weather forecast information. Therefore, the charge control device 10 of the second embodiment makes it possible to more efficiently utilize power from renewable energy sources.

[0052] Furthermore, the recommended charging day determination unit 104 determines a day on which a high incentive is provided according to the amount of charge and the predicted amount of surplus power to be generated as the recommended charging day. In this way, the charge control device 10 according to the second embodiment can motivate the user by providing an incentive, and can increase the likelihood that the user will charge on the recommended charging day.

[0053] The above describes the embodiments of the present invention. Note that all or part of the configuration of the charging control device 10 in each of the above-described embodiments may be implemented by a computer. In this case, a program for implementing the functions may be recorded on a computer-readable recording medium, and the program may be loaded into a computer system and executed. Note that the term "computer system" as used herein includes hardware such as an OS and peripheral devices. Furthermore, the term "computer-readable recording medium" refers to portable media such as flexible disks, optical magnetic disks, ROMs, and CD-ROMs, as well as storage devices such as hard disks built into a computer system. Furthermore, the term "computer-readable recording medium" may also include devices that dynamically store programs for a short period of time, such as communication lines used when transmitting programs via networks such as the Internet or telephone lines, or devices that store programs for a fixed period of time, such as volatile memory within a computer system that serves as a server or client. The program may be for implementing part of the functions described above, or may be capable of implementing the functions in combination with a program already stored in the computer system, or may be implemented using a programmable logic device such as an FPGA (Field Programmable Gate Array).

[0054] The embodiments of the present invention have been described in detail above with reference to the drawings, but the specific configuration is not limited to that described above, and various design changes can be made within the scope of the gist of the present invention. [Explanation of symbols]

[0055] 1...Charging management system, 10...Charging control device, 101...Calendar information acquisition unit, 102...Weather forecast information acquisition unit, 103...Power consumption acquisition unit, 104...Recommended charging date determination unit, 105...Notification unit, 106...Charging control unit, 107...Timekeeping unit, 108...Operation input unit, 20...User terminal, 30...Power meter, 40...Distribution board, 50...Charging device, 60...EV vehicle

Claims

1. a weather forecast information acquisition unit that acquires weather forecast information; a recommended charging day determination unit that determines a day on which surplus power is likely to be generated using renewable energy based on the weather forecast information; and a notification unit that notifies a user of the determined date as a recommended charging date on which charging is recommended; a power consumption amount acquiring unit that acquires power consumption amount; Equipped with the recommended charging day determination unit predicts an amount of charge that can be charged on each date from the amount of power consumption, and determines a recommended charging day based on the predicted amount of charge that can be charged. Charging control device.

2. the recommended charging day determination unit determines a day on which a high incentive is given according to the amount of charge and the predicted amount of surplus power to be generated as the recommended charging day. The charge control device according to claim 1 .

3. a weather forecast information acquisition step in which a weather forecast information acquisition unit acquires weather forecast information; a recommended charging day determination step in which a recommended charging day determination unit determines a day on which surplus power is likely to be generated using renewable energy based on the weather forecast information; a notification step in which a notification unit notifies a user of the determined date as a recommended charging date on which charging is recommended; a power consumption amount acquisition step in which a power consumption amount acquisition unit acquires power consumption amount; Including, In the recommended charging day determination step, the recommended charging day determination unit predicts a chargeable amount on each date from the power consumption amount, and determines a recommended charging day based on the predicted chargeable amount. Charging control method.

4. Computer, a weather forecast information acquisition means for acquiring weather forecast information; a charging recommendation day determination means for determining a day on which there is a high possibility of surplus power being generated using renewable energy based on the weather forecast information; a notification means for notifying a user of the determined date as a recommended charging date on which charging is recommended; a power consumption amount acquiring means for acquiring the power consumption amount; It functions as The recommended charging date determining means is a program for predicting the amount of charge that can be made on each date from the amount of power consumption, and determining the recommended charging date based on the predicted amount of charge that can be made.

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