Charge control device, program and method for charging multiple storage batteries with different charging efficiency characteristics

Abstract

To provide a charging control device or the like capable of charging a plurality of storage batteries with power generated by a power generation device whose generated power amount fluctuates from moment to moment by considering the charging efficiency.SOLUTION: A charging control device connected to a power generation device whose generated power amount fluctuates and a plurality of storage batteries with different charging efficiency characteristics with respect to rated power based on a temperature includes: power generation amount estimating means for estimating an amount of power generated by the power generation device during a predetermined time period; temperature estimating means for estimating a temperature of each storage battery during the predetermined time period; charging efficiency estimating means for estimating the charging efficiency based on the temperature when charging with the rated power of the power generation device per storage battery; storage battery priority assigning means for assigning priority based on the charging efficiency per storage battery; and charging distribution means for distributing the amount of the power generated by the power generation device in order from the storage battery with the highest priority by the amount of charging power per unit time based on the rated power.SELECTED DRAWING: Figure 3

Description

[Technical field]

[0001] The present invention relates to a technique for controlling charging of a storage battery. [Background technology]

[0002] Conventionally, there is a technology of VPP (Virtual Power Plant) that controls electric vehicles and home storage batteries installed in users' homes (for example, see Patent Document 1). According to this technology, charging performance information (e.g., charging and discharging efficiency) of an electric device is corrected based on environmental information of the electric device (e.g., temperature and aging deterioration information of the storage battery). Then, charging operations for the electric device are controlled according to an operation plan based on the corrected charging performance information.

[0003] Furthermore, when a plurality of storage batteries are remotely controlled, there is a technique for distinguishing and managing the storage batteries according to the degree of deterioration of the storage batteries (see, for example, Patent Document 2). Furthermore, there is a technique for determining whether or not there is a profit in consideration of the buying and selling price of electricity and the charging and discharging efficiency of a storage battery, and for determining a charging plan depending on the result of the determination (see, for example, Patent Document 3). Furthermore, there is also a technique in which when the amount of power generated by a solar power generation device (solar panel) is large, a first battery is charged, and when the first battery is fully charged, the battery is switched to a second battery (see, for example, Patent Document 4). Conversely, when the amount of power generated by the solar power generation device is small, the first battery is charged, and the second battery is charged via the first battery. The second battery is intended as a drive battery for the vehicle, and can improve the utilization efficiency of the amount of power generated by the solar power generation device. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] JP 2020-156149 A [Patent Document 2] WO19 / 215817 [Patent Document 3] Patent No. 5579954 [Patent Document 4] Patent No. 6953997 Summary of the Invention [Problem to be solved by the invention]

[0005] In addition to purchasing electricity from power companies, solar power generation equipment that can generate electricity at home has become common. This has created a need for energy storage equipment at home. In addition, with the spread of electric vehicles, it has become possible to charge the electric power generated at home into the storage battery installed in the electric vehicle. This has made it necessary for the distribution equipment at the home to control the charging of multiple storage batteries. In this case, the storage batteries used have various specifications and standards, and their charging efficiencies are completely different.

[0006] In response to this, the inventors of the present application considered the need for technology that can charge electricity generated by a power generation device, such as a solar power generation device, whose amount of power generated fluctuates from moment to moment, into multiple storage batteries while taking into account the charging efficiency.

[0007] However, none of the techniques described in Patent Documents 1 to 4 described above considers the charging efficiency for a plurality of storage batteries when charging. The technology described in Patent Document 1 takes into account the degree of deterioration of a typical household storage battery from environmental information such as temperature, but does not take into account the charging efficiency of multiple storage batteries. The techniques described in Patent Documents 2 and 3 are based on the assumption that charging will be performed from a power grid, and are not capable of dealing with the ever-changing amount of generated power. The technology described in Patent Document 4 is intended to increase the efficiency of using generated power, but does not take into account changes in charging efficiency.

[0008] Therefore, the present invention aims to provide a charging control device, program, and method that can charge electricity generated by a power generation device, the amount of power generated fluctuating from moment to moment, into multiple storage batteries while taking into account the charging efficiency. [Means for solving the problem]

[0009] According to the present invention, there is provided a charge control device connected to a power generation device whose generated power amount fluctuates and a plurality of storage batteries whose charging efficiency characteristics with respect to rated power differ based on temperature, comprising: a power generation amount estimation means for estimating a power generation amount of the power generation device in a predetermined time period; A temperature estimation means for estimating a temperature of each storage battery during a predetermined time period; a charging efficiency estimation means for estimating, for each storage battery, a charging efficiency based on a temperature when the storage battery is charged at a rated power of the power generation device; a battery priority assignment means for assigning a priority to each battery based on a charging efficiency; a charging and distributing means for distributing the amount of generated power from the power generation device to the storage batteries in order of priority based on the rated power per unit time; The present invention is characterized by having the following.

[0010] According to another embodiment of the charging control device of the present invention, The storage battery priority assignment means assigns priorities to the batteries in descending order of charging efficiency for each time period. It is also preferable.

[0011] According to another embodiment of the charging control device of the present invention, The power generation device is a solar power generation device. It is also preferable.

[0012] According to another embodiment of the charging control device of the present invention, The power generation amount estimation means includes: In the training stage, the machine learning engine is trained using teacher data in which the time series of power generation in the past time period is associated in advance as an explanatory variable with the power generation in the forecast time period as a target variable, In the estimation stage, the amount of power generated in the past is input as a time series, and the amount of power generated in the forecast period is estimated. It is also preferable.

[0013] According to another embodiment of the charging control device of the present invention, The temperature estimation means, for each storage battery, This is a machine learning engine trained with teacher data that has been previously associated with the time series temperature of the past time period as the explanatory variable and the temperature of the predicted time period as the objective variable. In the estimation stage, the time series of temperatures in the past time period is input and the temperature in the predicted time period is estimated. It is also preferable.

[0014] According to another embodiment of the charging control device of the present invention, The temperature estimation means includes: The temperature of the area in which the storage battery is installed is obtained from an external weather server via the network, The machine learning engine trains the system using the past time series of temperature as an explanatory variable in the training stage, and inputs the past time series of temperature as an estimation stage. It is also preferable.

[0015] According to another embodiment of the charging control device of the present invention, The charging efficiency estimation means estimates, for each storage battery, In the training stage, the machine learning engine is trained using teacher data that corresponds temperature as an explanatory variable and charging efficiency as a target variable, In the estimation stage, the temperature during the predicted time period is input and the charging efficiency is estimated. It is also preferable.

[0016] According to another embodiment of the charging control device of the present invention, a chargeable energy acquisition means for acquiring a chargeable energy amount for each storage battery; The charging and distributing means distributes an amount of charging power according to the amount of chargeable power from the amount of power generated by the power generation device. It is also preferable.

[0017] According to the present invention, there is provided a program for causing a computer mounted on a charge control device connected to a power generation device whose amount of generated power varies and a plurality of storage batteries whose charging efficiency characteristics for rated power differ based on temperature, the program comprising: a power generation amount estimation means for estimating a power generation amount of the power generation device in a predetermined time period; A temperature estimation means for estimating a temperature of each storage battery during a predetermined time period; a charging efficiency estimation means for estimating, for each storage battery, a charging efficiency based on a temperature when the storage battery is charged at a rated power of the power generation device; a battery priority assignment means for assigning a priority to each battery based on a charging efficiency; a charging and distributing means for distributing the amount of generated power from the power generation device to the storage batteries in order of priority based on the rated power per unit time; The present invention is characterized in that it causes a computer to function.

[0018] According to the present invention, there is provided a charge control method for a charge control device connected to a power generation device whose generated power amount fluctuates and a plurality of storage batteries whose charging efficiency characteristics for rated power differ based on temperature, comprising the steps of: The charging control device is A first step of estimating a generated power amount of a power generation device during a predetermined time period and estimating a temperature of each storage battery during the predetermined time period; A second step of estimating, for each storage battery, a charging efficiency based on temperature when the storage battery is charged at a rated power of the power generation device; a third step of assigning a priority to each storage battery based on its charging efficiency; a fourth step of allocating the amount of power generated by the power generation device to the storage batteries having the highest priority in order of charging power per unit time based on the rated power; The present invention is characterized by carrying out the following steps. Effect of the Invention

[0019] According to the charging control device, program, and method of the present invention, it is possible to charge power generated by a power generation device whose generated power amount fluctuates from moment to moment into a plurality of storage batteries while taking into consideration the charging efficiency. [Brief description of the drawings]

[0020] [Figure 1] FIG. 2 is a diagram showing the configuration of a home appliance; [Diagram 2] FIG. 2 is an explanatory diagram showing the amount of power generated by a solar power generation device for each time period. [Diagram 3] FIG. 2 is a functional configuration diagram of a charge control device according to the present invention. [Figure 4] FIG. 13 is a configuration diagram of a power generation amount estimation unit using a machine learning engine. [Diagram 5] 10 is an explanatory diagram showing a record of the amount of charging energy and the temperature in the past time period for each storage battery. FIG. [Figure 6] FIG. 4 is an explanatory diagram of a charging efficiency estimation unit in the present invention. [Figure 7] FIG. 4 is an explanatory diagram of a battery priority level assigning unit in the present invention. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0021] Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings.

[0022] FIG. 1 is a diagram showing the configuration of home appliances.

[0023] 1, a home equipment device installed in a user's home is connected to a power network and a communication network. The home equipment device receives power via the power network and communicates with an external server via the communication network.

[0024] An example of an external server is a "weather server." The weather server stores information such as temperature [℃] and solar radiation [W / m 2The weather server not only distributes the temperature and solar radiation amount in the current time period, but may also distribute the temperature and solar radiation amount in a future predetermined time period as a forecast. The home equipment device can obtain the temperature and solar radiation amount in the area of ​​the user's home by accessing the weather server. According to FIG. 1, the weather server determines that the temperature during the time period 2022 / 2 / 10 12:00-12:30 is 12°C and the amount of solar radiation is 250 [W / m 2 ].

[0025] 1, the home equipment includes a charge control device 1, a photovoltaic power generation device (PhotoVoltaic) 2, and a plurality of storage batteries 3. The home equipment further includes, as existing equipment, a distribution board, a smart meter, a Home Energy Management System (HEMS) gateway, a home gateway, a user terminal, and a thermometer.

[0026] The distribution board is an electrical device that distributes the power received from the power grid via the smart meter and the power received from multiple storage batteries 3 to electrical devices within the home. For safety reasons, a wiring circuit breaker, earth leakage circuit breaker, etc. are collectively installed on the distribution board. A smart meter is a power meter that digitally measures the power transmitted and received between the power grid and the distribution board. The measured power value is output to the HEMS gateway. The HEMS gateway is connected between the charge control device 1 and the home gateway, and manages the overall power control of the home equipment. The user terminal is, for example, a smartphone, and communicates with the HEMS gateway via the home gateway, and can clearly display, for example, charging state information of the charging control device 1 to the user. The thermometer measures the outside temperature in the surrounding environment of the user's home. The measured temperature may be notified to the charging control device 1 via the HEMS gateway.

[0027] [Storage battery 3] A plurality of storage batteries 3 are arranged as home equipment devices. These may be stationary storage batteries or storage batteries mounted on an electric vehicle parked at the user's home. The storage battery 3 may be one that is charged (purchased power) from a power grid, or one that is charged (self-generated power) from the solar power generation device 2. Of course, it may also be one that is charged from a device that has other power generation capabilities. According to FIG. 1, one solar power generation device 2 and three storage batteries (BAT_ID_1, BAT_ID_2, BAT_ID_3) are installed in the user's home.

[0028] According to the present invention, it is assumed that a plurality of storage batteries 3 are installed as home equipment. Also, each storage battery 3 has different characteristics of charging efficiency with respect to rated power based on temperature.

[0029] [Solar power generation device 2] The solar power generation device 2 is a power generation device that uses sunlight as energy, and outputs the self-generated electric power to the charge control device 1.

[0030] FIG. 2 is an explanatory diagram showing the amount of generated power for each time period in a solar power generation device. 2 shows the power generation performance and actual value of the amount of generated power of the solar power generation device 2. Here, the solar power generation device 2 outputs the amount of generated power [Wh] that varies from moment to moment for each time period. The amount of generated power of the solar power generation device 2 is generally proportional to the amount of solar radiation.

[0031] [Charging control device 1] A charge control device 1 receives power generated by a solar power generation device 2 and charges a plurality of storage batteries 3. Here, the charge control device 1 controls charging to the storage battery 3 for each time period. The "time period" may be divided into 30-minute units, for example. In the case of the solar power generation device 2, since power can be generated from the amount of solar radiation for about 12 hours, the time period may be divided into 24 frames. Note that the amount of solar radiation tends to be highest around 12 o'clock, and the temperature tends to be highest around 14:00.

[0032] FIG. 3 is a functional configuration diagram of the charge control device according to the present invention.

[0033] 3, the charge control device 1 has a generated power amount estimating unit 11, a temperature estimating unit 12, a charging efficiency estimating unit 13, a battery priority assigning unit 14, a charging distribution unit 15, and a chargeable power amount acquiring unit 16. These functional components are realized by executing a program that causes a computer mounted on the charge control device to function. The process flow of these functional components can also be understood as a charging control method of the device.

[0034] [Power generation amount estimation unit 11] The generated power amount estimation unit 11 estimates the amount of generated power of the power generation device in a predetermined time period. Here, the predetermined time period may be the current time period. In this case, charging of the multiple storage batteries 3 is controlled in real time. The predetermined time period may be a future time period. In this case, the amount of power generated in the future time period is estimated (predicted) based on the amount of power generated in the past time period.

[0035] FIG. 4 is a configuration diagram of a power generation amount estimation unit using a machine learning engine. <Training stage> The machine learning engine is trained using teacher data. (Explanatory variable: input) Time series of power generation in the past (Objective variable: Input) Amount of power generated during the forecast period <Estimation stage> (Explanatory variable: input) Time series of power generation in the past (Objective variable: output) Amount of power generated during the forecast period Of course, it is also preferable to include the amount of solar radiation in the teacher data in addition to the time-series amount of power generation in the past time periods as an explanatory variable.

[0036] The machine learning engine is typically a regression model, for example, but can also apply random forests. Statistically, regression is the construction of a linear regression model, Y=f(X), between explanatory variable X and target variable Y. When there are multiple explanatory variables, it becomes multiple regression. Random forest is an ensemble learning algorithm that uses decision trees as weak learners, and uses a large number of decision trees trained using randomly sampled training data.

[0037] [Temperature estimation section 12] The temperature estimation unit 12 estimates the temperature of each storage battery 3 during a predetermined time period. Here, the predetermined time period may be the current time period t. If the current temperature of each storage battery 3 can be measured, the temperature may be output.

[0038] Also, the temperature in the current time slot t may be predicted from the temperature of the storage battery 3 in the past time slot t-1 up to the present. For example, if the current time slot is 2022 / 2 / 10 11:30 to 12:00, the temperature is predicted from the temperature in the past time slot 2022 / 2 / 10 11:00 to 11:30.

[0039] The temperature estimation unit 12 may also estimate the temperature for each type of storage battery using a machine learning engine of a regression model. <Training stage> The machine learning engine is trained using teacher data. (Explanatory variable: Input) Time series of temperature in the past (Objective variable: Input) Temperature during the predicted time period <Estimation stage> (Explanatory variable: Input) Time series of temperature in the past (Objective variable: output) Temperature during the predicted time period

[0040] The temperature of the storage battery 3 is affected not only by the temperature of the storage battery 3 itself, which changes due to the charging operation (heat generation), but also by the ambient air temperature in the environment in which the storage battery 3 is installed. For this reason, the temperature in the current time period t may be predicted from the "temperature" and "air temperature" of the storage battery 3 in the past time period t-1. Storage battery temperature (t) = g (storage battery temperature (t-1), air temperature (t-1)) g: Prediction function model

[0041] The charge control device 1 may be capable of acquiring the temperature from the thermometer 4, or may be capable of acquiring the temperature from an external weather server via a communication interface. If the weather server publishes temperature forecast values ​​for a future time period, the charge control device 1 may also be capable of predicting the temperature of the storage battery 3 for that future time period.

[0042] Of course, it is also preferable to include "weather" in the training data in addition to the time series of past temperature as an explanatory variable. As for "weather," it is assumed that the temperature and the amount of solar power generation will differ between sunny and rainy days. Such weather information can also be obtained from a weather server.

[0043] FIG. 5 is an explanatory diagram showing records of the amount of charging energy and the temperature in the past time period for each storage battery. 5, the storage capacity [Wh] and rated power [W] are shown as the performance of each storage battery 3. Each storage battery 3 is charged by inputting the power generated by the solar power generation device 2 at the "rated power" of the storage battery 3. Also, according to FIG. 5, the amount of charging power that is equal to or less than the rated power, the remaining storage capacity, and the temperature are recorded as actual values ​​for each storage battery 3.

[0044] [Charging efficiency estimation unit 13] The charging efficiency estimation unit 13 estimates the "charging efficiency" for each storage battery 3 based on the temperature when the battery is charged at the rated power of the power generation device. The lower the charging efficiency of a storage battery, the smaller the amount of power that can be charged even when the rated power is input. On the other hand, the higher the charging efficiency of a storage battery, the more power that can be charged according to the rated power when the rated power is input. In other words, the charging efficiency is an important performance index for each storage battery 3.

[0045] "Charging efficiency" specifically means "the ratio of the amount of change in remaining power to the amount of charged power" in a storage battery. Charging efficiency = remaining power change [Wh] / charging power amount [Wh] For example, the charging power will be 250Wh if the rated power is 500W and charging takes 30 minutes per frame. The change in remaining power refers to the difference between the remaining storage capacity before and after charging when the battery is charged at rated power for 30 minutes per charge. Change in remaining power [Wh] = remaining battery capacity after charging [Wh] - remaining battery capacity before charging [Wh]

[0046] Furthermore, even if the rated power input to the storage battery 3 is the same, the "charging efficiency" varies depending on the temperature of the storage battery 3. For example, the higher the temperature of the storage battery 3, the higher the charging efficiency tends to be. On the other hand, for example, the lower the temperature of the storage battery 3, the lower the charging efficiency tends to be. As described above, the temperature of the storage battery is affected not only by heat generated by the charging operation but also by the outside air temperature. Therefore, the charging operation in the immediately preceding time period affects not only the temperature of the storage battery itself but also the charging efficiency.

[0047] FIG. 6 is an explanatory diagram of the charging efficiency estimating unit in the present invention.

[0048] 6, the charging efficiency estimation unit 13 estimates the charging efficiency for the rated power for each storage battery by a machine learning engine. The machine learning engine is, for example, generally a regression model, and a random forest may also be applied. <Training stage> The machine learning engine is trained using training data according to the type of storage battery. (Explanatory variable: Input) Temperature (Objective variable: Input) Charging efficiency <Estimation stage> (Explanatory variable: Input) Temperature (Objective variable: output) Charging efficiency Incidentally, the explanatory variable may be not only the temperature of the storage battery in the past time period t-1, but also the actual history of the temperature of the storage battery in the past time periods t-1 to tn.

[0049] [Battery priority assignment unit 14] The battery priority level assigning unit 14 assigns a priority level to each battery based on the charging efficiency. "Priority" refers to the order in which a battery is charged among multiple batteries. Note that the order of priority does not mean that the batteries are switched in order when charging, but rather that the amount of charging power equivalent to the rated power is allocated to the batteries with the highest priority first. Note that the lower the priority number, the higher the priority. This allows the plurality of storage batteries 3 to be charged as a whole with maximum charging efficiency.

[0050] FIG. 7 is an explanatory diagram of the battery priority level assigning unit in the present invention.

[0051] Here, the storage battery priority level assigner 14 assigns priorities to the batteries in descending order of charging efficiency. The priority level given to each storage battery 3 varies for each time period. The temperature of each storage battery 3 also varies for each time period, which results in different charging efficiencies.

[0052] [Charging and power distribution unit 15] The charging and distributing unit 15 distributes the amount of generated power from the power generation device to the storage batteries in order of priority, in an amount of charging power per unit time based on the rated power. For example, the following case is assumed. <Priority> <Rated power> 1:Storage battery BAT_ID_1 500W 2:Storage battery BAT_ID_3 300W 3:Storage battery BAT_ID_2 400W In this case, if the amount of power generated by the photovoltaic power generation device 2 is 500 Wh, the power is distributed as follows for one 30-minute frame. <Priority> <Rated power> <Charging energy> 1:Storage battery BAT_ID_1 500W 250Wh (=500W×30 minutes) 2: Storage battery BAT_ID_3 300W 150Wh (=300W×30 minutes) 3: Storage battery BAT_ID_2 400W 100Wh *(=500Wh-(250Wh+150Wh)) Here, since 400 Wh (=250 Wh+150 Wh) has already been distributed to the higher priority storage batteries BAT_ID_1 and BAT_ID_3, the remaining 100 Wh of power is charged to the lower priority storage battery BAT_ID_2.

[0053] In addition, the following case is also assumed. <Priority> <Rated power> 1:Storage battery BAT_ID_1 500W 2:Storage battery BAT_ID_2 400W 3:Storage battery BAT_ID_3 300W In this case, if the amount of power generated by the photovoltaic power generation device 2 is 300 Wh, the power is distributed as follows for one 30-minute frame. <Priority> <Rated power> <Charging energy> 1:Storage battery BAT_ID_1 500W 250Wh (=500W×30 minutes) 2:Storage battery BAT_ID_2 400W 50Wh*(=300Wh-250Wh) 3:Storage battery BAT_ID_3 300W 0Wh* Here, since 250 Wh of power has already been distributed to the higher-priority battery BAT_ID_1, the remaining 50 Wh of power is charged to the next higher-priority battery BAT_ID_2, and no charging is performed on the battery BAT_ID_3.

[0054] [Chargeable power amount acquisition unit 16] The chargeable energy acquisition unit 16 acquires the chargeable energy for each storage battery. In response to this, the charging and distributing unit 15 distributes, from the amount of power generated by the solar power generation device 2, an amount of charging power according to the amount of chargeable power.

[0055] For example, the following case is assumed. <Priority> <Rated power> <Chargeable power> 1: Storage battery BAT_ID_1 500W 200Wh 2:Storage battery BAT_ID_3 300W 500Wh 3:Storage battery BAT_ID_2 400W 1000Wh In this case, if the amount of power generated by the photovoltaic power generation device 2 is 500 Wh, the power is distributed as follows for one 30-minute frame. <Priority> <Rated power> <Charging energy> 1:Storage battery BAT_ID_1 500W 200Wh (<500W×30 minutes) 2: Storage battery BAT_ID_3 300W 150Wh (=300W×30 minutes) 3: Storage battery BAT_ID_2 400W 150Wh (<400W×30 minutes) Here, the battery BAT_ID_1 with the highest priority has a chargeable energy of only 200 Wh, so 200 Wh is distributed to it. Next, the battery BAT_ID_3 with the next highest priority is distributed a chargeable energy of 150 Wh. And the remaining 150 Wh (= 500 Wh - (200 Wh + 150 Wh)) is the charging energy for the battery BAT_ID_2 with the lowest priority.

[0056] As described in detail above, according to the charging control device, program, and method of the present invention, electricity generated by a power generation device whose amount of generated electricity fluctuates from moment to moment can be charged into multiple storage batteries while taking into account the charging efficiency. This makes it possible to charge the storage batteries without wasting as much generated power as possible, even if there are a plurality of storage batteries with different charging efficiency characteristics for rated power based on temperature.

[0057] Furthermore, this will make it possible, for example, to "efficiently charge electricity generated by solar power generation equipment into multiple storage batteries, realizing local production and consumption of electricity and being effective in power resilience during large-scale power outages caused by disasters," which will contribute to Goal 7 of the United Nations Sustainable Development Goals (SDGs) to "Ensure access to affordable, reliable, sustainable and modern energy."

[0058] Regarding the various embodiments of the present invention described above, various changes, modifications, and omissions within the scope of the technical idea and perspective of the present invention can be easily made by those skilled in the art. The above description is merely an example and is not intended to be restrictive in any way. The present invention is limited only by the scope of the claims and their equivalents. [Explanation of symbols]

[0059] 1. Charging control device 11 Power generation amount estimation unit 12 Temperature estimation section 13 Charging efficiency estimation unit 14 Battery Priority Assignment Unit 15 Charging and power distribution section 16 Rechargeable power amount acquisition unit 2. Solar power generation equipment 3. Storage battery 4. Thermometer

Claims

1. A charge control device connected to a power generation device whose generated power amount fluctuates and a plurality of storage batteries whose charging efficiency characteristics with respect to rated power differ based on temperature, a power generation amount estimation means for estimating a power generation amount of the power generation device in a predetermined time period; A temperature estimation means for estimating a temperature of each storage battery during a predetermined time period; a charging efficiency estimation means for estimating, for each storage battery, a charging efficiency based on a temperature when the storage battery is charged at a rated power of the power generation device; a battery priority assignment means for assigning a priority to each battery based on a charging efficiency; a charging and distributing means for distributing the amount of generated power from the power generation device to the storage batteries in order of priority based on the rated power per unit time; A charging control device comprising:

2. The storage battery priority assignment means assigns priorities to the batteries in descending order of charging efficiency for each time period.

2. The charging control device according to claim 1 .

3. The power generation device is a solar power generation device.

3. The charge control device according to claim 1 or 2.

4. The power generation amount estimation means includes: In the training stage, the machine learning engine is trained using teacher data in which the time series of power generation in the past time period is associated in advance as an explanatory variable with the power generation in the forecast time period as a target variable, In the estimation stage, the amount of power generated in the past is input as a time series, and the amount of power generated in the forecast period is estimated.

4. The charge control device according to claim 1, wherein the charge control device is a charger.

5. The temperature estimation means, for each storage battery, This is a machine learning engine trained with teacher data that has been previously associated with the time series temperature of the past time period as the explanatory variable and the temperature of the predicted time period as the objective variable. In the estimation stage, the time series of temperatures in the past time period is input and the temperature in the predicted time period is estimated.

5. The charge control device according to claim 1, wherein the charge control device is a charger.

6. The temperature estimation means includes: The temperature of the area in which the storage battery is installed is obtained from an external weather server via the network, The machine learning engine trains the system using the past time series of temperature as an explanatory variable in the training stage, and inputs the past time series of temperature as an estimation stage. The charge control device according to any one of claims 1 to 5.

7. The charging efficiency estimation means estimates, for each storage battery, In the training stage, the machine learning engine is trained using teacher data that corresponds temperature as an explanatory variable and charging efficiency as a target variable, In the estimation stage, the temperature during the predicted time period is input and the charging efficiency is estimated.

7. The charge control device according to claim 1, wherein the charge control device is a charger.

8. a chargeable energy acquisition means for acquiring a chargeable energy amount for each storage battery; The charging and distributing means distributes an amount of charging power according to the amount of chargeable power from the amount of power generated by the power generation device. The charge control device according to any one of claims 1 to 7.

9. A program for causing a computer mounted on a charge control device connected to a power generation device whose generated power amount fluctuates and a plurality of storage batteries whose charging efficiency characteristics for rated power differ based on temperature, comprising: a power generation amount estimation means for estimating a power generation amount of the power generation device in a predetermined time period; A temperature estimation means for estimating a temperature of each storage battery during a predetermined time period; a charging efficiency estimation means for estimating, for each storage battery, a charging efficiency based on a temperature when the storage battery is charged at a rated power of the power generation device; a battery priority assignment means for assigning a priority to each battery based on a charging efficiency; a charging and distributing means for distributing the amount of generated power from the power generation device to the storage batteries in order of priority based on the rated power per unit time; A program for causing a computer to function.

10. A charge control method for a charge control device connected to a power generation device whose generated power amount fluctuates and a plurality of storage batteries whose charging efficiency characteristics for rated power differ based on temperature, comprising: The charging control device is A first step of estimating a generated power amount of a power generation device during a predetermined time period and estimating a temperature of each storage battery during the predetermined time period; A second step of estimating, for each storage battery, a charging efficiency based on temperature when the storage battery is charged at a rated power of the power generation device; a third step of assigning a priority to each storage battery based on charging efficiency; a fourth step of allocating the amount of power generated by the power generation device to the storage batteries in order of priority based on the rated power of the storage batteries; A charging control method comprising the steps of:

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