Information processing method, program, and information processing device for controlling storage batteries with high efficiency

Abstract

To provide an information processing method or the like capable of determining each variable parameter for automatically generating a charging / discharging efficiency model capable of estimating charging / discharging efficiency in input power and output power at different times of actually using a storage battery from the use situation of the storage battery.SOLUTION: According to the present invention, an information processing method records time series data related to a time series change in data about power inputted to storage battery and power outputted from the storage battery and a time series change in a charging power value and a discharging power value of the storage battery, constructs charging efficiency to the storage battery with a charging efficiency model represented by a function of a charging power value of a load, sets a coefficient parameter of the model, sets a parameter of a charging efficiency model for representing discharging efficiency from the storage battery with a function of a discharging power value of the load, and executes processing for determining a parameter of the charging efficiency model and a parameter of the discharging efficiency model on the basis of the time series data.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present invention relates to an information processing method, a program, and an information processing device for controlling a storage battery with high efficiency. [Background technology]

[0002] In recent years, technologies related to the charging and discharging efficiency of storage batteries have come into widespread use. For example, Patent Document 1 discloses a power supply system that calculates surplus power by subtracting the power consumption of an electrical load from the generated power, and controls the charging and discharging of a storage battery based on the calculated surplus power. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Publication No. 2018-143061 Summary of the Invention [Problem to be solved by the invention]

[0004] However, the invention of Patent Document 1 has a problem in that it is not possible to estimate the charge / discharge efficiency of a storage battery.

[0005] In one aspect, an object is to provide an information processing method and the like that can determine parameters of a charge / discharge efficiency model that can estimate the charge / discharge efficiency of a storage battery. [Means for solving the problem]

[0006] An information processing method according to one aspect includes recording time series data relating to time series changes in data relating to the power input to and output from a storage battery, and time series changes in the charging power value and discharging power value of the storage battery, setting parameters of a charging efficiency model that expresses the charging efficiency to the storage battery as a function of the charging power value of the storage battery, setting parameters of a discharging efficiency model that expresses the discharging efficiency from the storage battery as a function of the discharging power value of the storage battery, and executing a process to determine the parameters of the charging efficiency model and the parameters of the discharging efficiency model based on the time series data. [Effects of the Invention]

[0007] In one aspect, it is possible to determine parameters of a charge / discharge efficiency model that can estimate the charge / discharge efficiency of a storage battery. [Brief explanation of the drawings]

[0008] [Figure 1] 1 is an explanatory diagram showing an overview of a system for estimating charge / discharge efficiency of a storage battery; [Figure 2] FIG. 1 is a block diagram illustrating an example of the configuration of a computer. [Figure 3] FIG. 10 is an explanatory diagram showing an example of a record layout of a storage battery capacity measurement data DB. [Figure 4] FIG. 10 is an explanatory diagram showing an example of a record layout of a storage battery input / output power measurement data DB. [Figure 5] 3A and 3B are explanatory diagrams illustrating an example of data related to power and charging and discharging power values ​​of a storage battery. [Figure 6] FIG. 10 is an explanatory diagram of a charging efficiency model and a discharging efficiency model. [Figure 7] FIG. 10 is an explanatory diagram illustrating an example of a graph of a polynomial approximation curve. [Figure 8] 10 is a flowchart illustrating an example of a processing procedure for determining a parameter. [Figure 9] FIG. 10 is an explanatory diagram showing an example of a graph of a polynomial approximation curve according to the second embodiment. [Figure 10]10 is a flowchart illustrating an example of a processing procedure when a control process is performed for discharging a storage battery. [Figure 11] 10 is a flowchart illustrating an example of a processing procedure for redetermining parameters of a charging efficiency model. DETAILED DESCRIPTION OF THE INVENTION

[0009] The present invention will be described in detail below with reference to the drawings showing embodiments thereof.

[0010] (Embodiment 1) The first embodiment relates to an embodiment for estimating the charge / discharge efficiency of a storage battery. Fig. 1 is an explanatory diagram showing an overview of a system 10 for estimating the charge / discharge efficiency of a storage battery. The estimation system 10 of this embodiment includes an information processing device 1, a storage battery 2, and a power conditioner 4. The power conditioner 4 is connected to an external distribution board 3.

[0011] The information processing device 1 is an information processing device that processes, stores, and transmits / receives various types of information. The information processing device 1 is, for example, a server device, a personal computer, a general-purpose tablet PC (personal computer), or other computing device capable of performing calculations. In this embodiment, the information processing device 1 is, for example, a personal computer that estimates the charge / discharge efficiency of a storage battery, and will be referred to as a computer 1 below for simplicity.

[0012] The storage battery 2 is a secondary battery that can be charged to store electricity and supply it to electrical devices when needed. The storage battery 2 is intended for use in facilities such as ordinary homes, offices, or factories. A plurality of storage batteries 2 may be installed in a facility. The storage battery 2 has a first measuring device 21 that measures data related to the power input and output to the storage battery 2 at each measurement time. The storage battery 2 is also equipped with a charge / discharge control system 22. In this embodiment, the storage battery 2 has the first measuring device 21 and the charge / discharge control system 22, but a power conditioner 4, which will be described later, may have the first measuring device 21 and the charge / discharge control system 22.

[0013] The power conditioner 4 is a power converter that converts alternating current (AC) power to direct current (DC) power when charging the storage battery 2 from the distribution board 3 and converts DC power to AC power when discharging from the storage battery 2 to the distribution board 3. The power conditioner 4 has a second meter 41 that measures the charge / discharge power value of the storage battery 2. The power conditioner 4 may be built into the storage battery 2. While the present embodiment describes an example in which data is acquired via the power conditioner 4, this is not a limitation. For example, data may be acquired via a relay device such as a remote control or a router between the power conditioner 4 and the computer 1. While the present embodiment describes an example in which the power conditioner 4 has one input for charging and one output for discharging, this is not a limitation. For example, a multi-type power conditioner 4 with multiple inputs and outputs may be used.

[0014] There are two types of storage batteries: capacity-type batteries and output-type batteries. Capacity-type batteries are suitable for long-term charging and discharging of small amounts of power. Output-type batteries are suitable for short-term discharging of large amounts of power. Power supply systems that use these types of batteries are equipped with a control device that controls the charging and discharging power of the capacity-type batteries and output-type batteries. The control device controls the charging and discharging power of each battery according to a charging and discharging schedule based on a limit on the number of times each battery can be charged and discharged.

[0015] Furthermore, capacity-type and output-type batteries have different charging and discharging efficiencies. Charging efficiency is the ratio of the amount of power actually charged to the battery to the amount of power supplied to the battery. Discharging efficiency is the ratio of the amount of power actually discharged from the battery to the amount of power actually charged to the battery.

[0016] More specifically, a capacity-type battery has the characteristic that it can be charged and discharged with high charging and discharging efficiency in the range of low charging and discharging power, while a power-type battery has the characteristic that it can be charged and discharged with high charging and discharging efficiency in the range of low charging and discharging power, while a capacity-type battery has the characteristic that it can be charged and discharged with high charging and discharging efficiency in the range of low charging and discharging power, while a power-type battery has the characteristic that it can be charged and discharged with low charging and discharging efficiency in the range of low charging and discharging power, while a power-type battery has the characteristic that it can be charged and discharged with high charging and discharging power.

[0017] The charge / discharge efficiency of a normal battery is specified in its specifications, but since the performance is stated as the value at the maximum discharge output during discharge or the maximum charge input during charge, the efficiency at other input / output power during charge or discharge is unknown. Therefore, there is a problem that it is not possible to estimate (specify) the charge / discharge power efficiency according to the input / output power during actual use of the battery.

[0018] Furthermore, because the charge / discharge efficiency of conventional storage batteries was only known when charging and discharging at maximum input and output, when charging and discharging a storage battery with a small amount of power, the power efficiency became very poor, resulting in power losses and making the output power used more expensive compared to the price of the input power, resulting in a reversal phenomenon and making the system economically unreasonable.

[0019] In addition, the performance of conventional storage batteries deteriorates over the years of use, and the input / output efficiency of charge / discharge power at the time of purchase deteriorates, making it difficult to accurately estimate the charge / discharge efficiency due to deterioration over time.

[0020] Therefore, an information processing method is provided that can determine each variable parameter of a charge / discharge efficiency model that can estimate the charge / discharge efficiency at different input power and output power during actual use of the battery, automatically generated from the usage status of the battery, and it is possible to automatically control the charge / discharge of the battery, taking into account the charge / discharge efficiency of the battery due to deterioration over time.

[0021] The computer 1 according to this embodiment stores (records) time-series data relating to time-series changes in data relating to the power input to and output from the storage battery 2, and time-series changes in the charging power value and discharging power value of the storage battery 2. The computer 1 sets parameters of a charging efficiency model that expresses the charging efficiency of the storage battery 2 as a function of the charging power value of the storage battery 2. The computer 1 sets parameters of a discharging efficiency model that expresses the discharging efficiency from the storage battery 2 as a function of the discharging power value of the storage battery 2.

[0022] A specific example will be given below. In the following description, the difference between the power charged to the storage battery 2 and the power discharged from the storage battery 2 within the calculation period will be referred to as a first value. Similarly, the difference between the integral value of the product of the charge power value and the charging efficiency of the storage battery 2 within the calculation period and the integral value of the product of the discharge power value and the discharging efficiency of the storage battery 2 within the calculation period will be referred to as a second value. Based on the stored time-series data, the computer 1 determines the parameters of the charging efficiency model and the parameters of the discharging efficiency model so as to reduce the difference between the first value and the second value.

[0023] 2 is a block diagram showing an example of the configuration of the computer 1. The computer 1 includes a control unit 11, a storage unit 12, a communication unit 13, an input unit 14, a display unit 15, a reading unit 16, and a large-capacity storage unit 17. Each component is connected by a bus B.

[0024] The control unit 11 includes an arithmetic processing unit such as a CPU (Central Processing Unit), MPU (Micro-Processing Unit), GPU (Graphics Processing Unit), etc., and performs various information processing, control processing, etc. related to the computer 1 by reading and executing the control program 1P stored in the storage unit 12. The control program 1P may be stored in the mass storage unit 17, and may be deployed so as to be executed on a single computer, on one site, or on multiple computers distributed across multiple sites and interconnected by a communications network. Although the control unit 11 is described in FIG. 2 as being a single processor, it may also be a multiprocessor.

[0025] The storage unit 12 includes memory elements such as RAM (Random Access Memory) and ROM (Read Only Memory), and stores the control program 1P or data required for the control unit 11 to execute processing. The storage unit 12 also temporarily stores data required for the control unit 11 to execute arithmetic processing. The communication unit 13 is a communication module for performing communication-related processing, and transmits and receives information to and from the storage battery 2, etc., via a network N, such as a wired or wireless network.

[0026] The input unit 14 is an input device such as a mouse, keyboard, touch panel, or button, and outputs received operation information to the control unit 11. The display unit 15 is a liquid crystal display, an organic EL (electroluminescence) display, or the like, and displays various information according to instructions from the control unit 11.

[0027] The reading unit 16 reads a portable storage medium 1a including a CD (Compact Disc)-ROM, a DVD (Digital Versatile Disc)-ROM, an HDD (Hard disk drive), or an SSD (Solid State Drive). The control unit 11 may read the control program 1P from the portable storage medium 1a via the reading unit 16 and store it in the mass storage unit 17. Alternatively, the control unit 11 may download the control program 1P from another computer via a network N, such as a wired or wireless network, and store it in the mass storage unit 17. Furthermore, the control unit 11 may read the control program 1P from the semiconductor memory 1b.

[0028] The mass storage unit 17 includes a recording medium such as an HDD or SSD. The mass storage unit 17 may use an external storage medium such as an HDD or SSD via a wired or wireless network N. The mass storage unit 17 includes a charging efficiency model 171, a discharging efficiency model 172, a storage battery capacity measurement data DB (database) 173, and a storage battery input / output power measurement data DB 174.

[0029] The charging efficiency model 171 is a model that outputs the charging efficiency of the storage battery 2 when a charging power value of the storage battery 2 is input. The discharging efficiency model 172 is a model that outputs the discharging efficiency of the storage battery 2 when a discharging power value of the storage battery 2 is input. The storage battery capacity measurement data DB 173 stores (records) data related to the power input to the storage battery 2 and the power output from the storage battery 2. The storage battery input / output power measurement data DB 174 stores the charging power value and discharging power value of the storage battery 2.

[0030] In this embodiment, the storage unit 12 and the large-capacity storage unit 17 may be configured as an integrated storage device. Furthermore, the large-capacity storage unit 17 may be configured with a plurality of storage devices. Furthermore, the large-capacity storage unit 17 may be an external storage device connected to the computer 1.

[0031] The computer 1 may execute various information processing and control processing by itself or may execute them in a distributed manner across multiple computers. Furthermore, the computer 1 may be realized by multiple virtual machines installed in a single computer, or may be realized using a cloud computer.

[0032] 3 is an explanatory diagram showing an example of a record layout of the storage battery capacity measurement data DB 173. The storage battery capacity measurement data DB 173 includes a measurement time column, a DC cumulative charge amount (Wh) column, a DC cumulative discharge amount (Wh) column, and a storage battery operation status column. The measurement time column stores the time when the DC cumulative charge / discharge amount of the storage battery 2 was measured. The DC cumulative charge amount (Wh) column stores the DC cumulative charge amount of the storage battery 2.

[0033] The DC cumulative discharge amount (Wh) column stores the DC cumulative discharge amount of the storage battery 2. The battery operation state column stores the operation state of the storage battery 2. The operation state includes charging, discharging, and standby. Note that although the cumulative charging power and cumulative discharging amount are DC cumulative charging power and DC cumulative discharging amount, they may also be AC ​​cumulative charging power and AC cumulative discharging amount, respectively.

[0034] 4 is an explanatory diagram showing an example of the record layout of the storage battery input / output power measurement data DB 174. The storage battery input / output power measurement data DB 174 includes a measurement time column, an instantaneous charge / discharge power value column, and a storage battery operation status column. The measurement time column stores the time when the charge power value or discharge power value of the storage battery 2 was measured. The instantaneous charge / discharge power value column stores the charge power value (instantaneous charge power value) or discharge power value (instantaneous discharge power value) of the storage battery 2. The storage battery operation status column stores the operation status of the storage battery 2.

[0035] Note that the measurement interval of the DC integrated charge / discharge amount of the storage battery 2 in Fig. 3 is different from the measurement interval of the charge / discharge power value of the storage battery 2 in Fig. 4. Also, the measurement timing of the DC integrated charge / discharge amount of the storage battery 2 in Fig. 3 is different from the measurement timing of the charge / discharge power value of the storage battery 2 in Fig. 4.

[0036] In this embodiment, a charge / discharge efficiency model is generated that can estimate the charge / discharge efficiency of the storage battery 2. Specifically, the computer 1 acquires, via the power conditioner 4, time-series data relating to time-series changes in data relating to the power input to the storage battery 2 and the power output from the storage battery 2, and time-series changes in the charging power value and discharging power value of the storage battery 2. The data relating to power is the DC cumulative charging / discharging amount or the remaining capacity of the storage battery 2.

[0037] FIG. 5 is an explanatory diagram illustrating an example of data related to power and charging / discharging power values ​​of the storage battery 2. FIG. 5A is an explanatory diagram illustrating an example of a graph showing DC cumulative discharge amount. As shown in the figure, the horizontal axis represents time (t) and the vertical axis represents DC cumulative discharge amount (kWh). For example, the DC cumulative discharge amount at time T1 is A1. The amount of power discharged from the storage battery 2 during the period Δt1 from time T1 to time T2 is Δv1. The DC cumulative discharge amount A2 at time T2 is the sum of A1 and ΔV1. In this way, the sum of the amount of power discharged from the storage battery 2 during each period is the DC cumulative discharge amount.

[0038] Although an example of the DC cumulative discharge amount has been described in Fig. 5A, the same can be applied to the DC cumulative charge amount. The DC cumulative charge amount is the sum of the amounts of power charged to the storage battery 2 during each period. Note that the illustration and description of a graph showing the DC cumulative charge amount will be omitted.

[0039] FIG. 5B is an explanatory diagram showing an example of a graph showing the remaining amount of power in the storage battery 2. The graph is a line graph showing the relationship between time and the remaining amount of power in the storage battery 2, with each data point connected by a line. As shown in the figure, the horizontal axis represents time (t) and the vertical axis represents the remaining amount (kWh) of the storage battery 2. If the line slopes upward to the right, the remaining amount during that period increases (rises), indicating a change in the remaining amount while the storage battery 2 is in a charging state. If the line slopes downward to the right, the remaining amount during that period decreases (falls), indicating a change in the remaining amount while the storage battery 2 is in a discharging state.

[0040] For example, the remaining charge of storage battery 2 at time U1 is B1. The amount of energy charged to storage battery 2 during the period Δt1 from time U1 to time U2 is Δv1. The remaining charge B2 of storage battery 2 at time U2 is the sum of B1 and ΔV1. The amount of energy discharged from storage battery 2 during the period Δt2 from time U2 to time U3 is Δv2. The remaining charge B3 of storage battery 2 at time U3 is the value obtained by subtracting ΔV2 from B2.

[0041] 5C is an explanatory diagram showing an example of a graph showing the charge / discharge power values ​​of the storage battery 2. The graph is a line graph showing the relationship between time and the charge / discharge power values ​​of the storage battery 2, with each data point connected by a line. As shown in the figure, the horizontal axis represents time (t) and the vertical axis represents the charge / discharge power value (kW) of the storage battery 2.

[0042] At each measurement time, an instantaneous value is measured, which is the sum of the charge and discharge power values ​​of each storage battery 2. If the charge and discharge power value of a storage battery 2 is a positive value, it means that the storage battery 2 generates more power than it consumes. If the charge and discharge power value of a storage battery 2 is a negative value, it means that the storage battery 2 consumes more power than it generates.

[0043] For example, the charge / discharge power value at time V1 is a negative value C1. This means that at time V1, storage battery 2 as a whole is consuming power. The charge / discharge power value at time V2 is a positive value C2. This means that at time V2, storage battery 2 as a whole is generating power.

[0044] The computer 1 determines parameters of a charging efficiency model 171 and parameters of a discharging efficiency model 172 based on the acquired data related to power and time-series data related to the charging and discharging power values ​​of the storage battery 2. The charging efficiency model 171 is a model that expresses the charging efficiency of the storage battery 2 as a function of the charging power value of the storage battery 2. The discharging efficiency model 172 is a model that expresses the discharging efficiency from the storage battery 2 as a function of the discharging power value of the storage battery 2.

[0045] The charging efficiency is the ratio between the amount of power output from the facility and the amount of power charged to the storage battery 2. The amount of power output from the facility is the integral value of the power output from the facility within a specified period. The amount of power charged to the storage battery is the remaining capacity of the storage battery that has increased within the specified period. The remaining capacity of the storage battery that has increased within the predetermined period is, for example, the DC integrated charge amount that has increased within the predetermined period, or the remaining capacity of the storage battery 2 that has increased within the predetermined period.

[0046] The discharge efficiency is the ratio between the amount of power discharged from the storage battery and the amount of power supplied to the facility. The amount of power discharged from the storage battery is the remaining capacity of the storage battery that has decreased within a specified period. The remaining capacity of the storage battery that has decreased within a specified period is, for example, the DC cumulative discharge amount that has decreased within the specified period, or the remaining capacity of the storage battery 2 that has decreased within the specified period. The amount of power supplied to the facility is the integral value of the power value consumed by the facility within the specified period.

[0047] The computer 1 uses the determined parameters of the charging efficiency model 171 to generate a charging efficiency model 171 that outputs the charging efficiency to the storage battery 2 when a charging power value of the storage battery 2 is input. The computer 1 also uses the determined parameters of the discharging efficiency model 172 to generate a discharging efficiency model 172 that outputs the discharging efficiency from the storage battery 2 when a discharging power value of the storage battery 2 is input. The computer 1 can estimate the charging and discharging efficiency of the storage battery 2 using the generated charging efficiency model 171 and discharging efficiency model 172.

[0048] Next, the process of determining the parameters of the charging efficiency model 171 and the discharging efficiency model 172 will be described in detail.

[0049] 6 is an explanatory diagram of a charging efficiency model 171 and a discharging efficiency model 172. The computer 1 acquires data related to the power input to and output from the storage battery 2 during a calculation period from the first measuring device 21 of the storage battery 2 via the power conditioner 4. The data related to power includes the measurement times of the DC cumulative charge / discharge amount, the DC cumulative charge amount at each measurement time, the DC cumulative discharge amount, and the operating state of the storage battery 2. Note that while FIG. 6 illustrates an example in which the data related to power is the DC cumulative charge / discharge amount, the data can be similarly applied to the remaining capacity of the storage battery 2.

[0050] The computer 1 stores the acquired data related to power in the battery capacity measurement data DB 173. Specifically, the computer 1 stores in the battery capacity measurement data DB 173 the measurement times of the DC integrated charge / discharge amounts, the DC integrated charge amounts, the DC integrated discharge amounts, and the battery operation states (charging, discharging, or standby) at each measurement time.

[0051] The computer 1 acquires the measurement times of the charge / discharge power values ​​of the storage battery 2 during the calculation period, the charge / discharge power values ​​at each measurement time, and the storage battery operation status from the second measuring device 41 of the power conditioner 4. The computer 1 stores the measurement times of the acquired charge / discharge power values, the charge / discharge power values ​​at each measurement time, and the storage battery operation status in the storage battery input / output power measurement data DB 174.

[0052] Based on the acquired time-series data, the computer 1 determines optimal parameters for the charging efficiency model 171 and optimal parameters for the discharging efficiency model 172. The computer 1 uses the algorithm shown in equation 11a to determine the parameters for the charging efficiency model 171 and the discharging efficiency model 172.

[0053] In Equation 11a, c is a subscript that indicates the data for the charge state. d is a subscript that indicates the data for the discharge state. ΔQ c is the calculation period (t start ~t end ) is the DC charge amount at ΔQ dis the DC discharge amount during the calculation period.

[0054] f c (L c (t)) is a function for calculating the charging efficiency. c (t) is the charging power value (instantaneous charging power value) of the storage battery 2 at time t. c (L c (t)) is the charging power value of battery 2. c (t) is the charging efficiency when the time t is a function f c (L c (t)) is "f c (L c (t))=a(L c (t)) 2 +bL c When approximating with a quadratic function expressed as "(t)+c", the parameters of the charging efficiency model 171 are a, b, and c.

[0055] f d (L d (t)) is a function for calculating the discharge efficiency. d (t) is the discharge power value (instantaneous discharge power value) of the storage battery 2 at time t. d (L d (t)) is the discharge power value of battery 2. d (t) is the discharge efficiency when the time t is a function f d (L d (t)) is "f d (L d (t))=m(L d (t)) 2 +nL d When approximating with a quadratic function expressed as "(t)+p", the parameters of the discharge efficiency model 172 are m, n, and p.

[0056] In addition, f c (L c (t)) and f d (L d (t)) may be approximated by a function other than a quadratic function, such as a cubic function or a quartic function.

[0057] The computer 1 performs a process of determining the parameters of the set charging efficiency model 171 and discharging efficiency model 172. Specifically, the DC charging amount (ΔQ c ) and DC discharge amount (ΔQ d ) is the first value. The difference (11a2-11a3) between the integral value of the product of the charging power value and the charging efficiency of the storage battery 2 and the integral value of the product of the discharging power value and the discharging efficiency of the storage battery 2 is the second value. The computer 1 minimizes (reduces) the difference between the first value and the second value using, for example, the least squares method based on the DC charging amount, DC discharging amount, and charging / discharging power values ​​of the storage battery 2 at the acquired multiple times t. In this way, the quadratic function f c (L c (t)) parameters (a, b and c) and f d (L d The optimal values ​​of the parameters (m, n and p) of (t) can be found.

[0058] In addition to minimization, the parameters of the quadratic function can be determined using a predetermined threshold or a predetermined range. For example, the computer 1 may use the least squares method to determine the parameters a, b, c, m, n, and p so that the difference between the first value and the second value is smaller than a predetermined threshold. Alternatively, the computer 1 may use the least squares method to determine the parameters a, b, c, m, n, and p so that the difference between the first value and the second value is within a predetermined range. The parameters of the quadratic function may also be determined using a known method other than the least squares method.

[0059] Computer 1 calculates the calculated parameter values ​​using the quadratic function f c (L c (t)) and f d (L d (t)) and the quadratic function f c (L c (t)) and f d (L d (t)) is derived. Computer 1 calculates the derived quadratic function f c (L c (t)) to generate a charging efficiency model 171.

[0060] When the computer 1 inputs the charging power value of the storage battery 2 into the generated charging efficiency model 171, the computer 1 outputs the charging efficiency of the storage battery 2. The computer 1 calculates the charging efficiency of the storage battery 2 by using the derived quadratic function f d (L d (t)), the computer 1 generates a discharge efficiency model 172. When the discharge power value of the storage battery 2 is input to the generated discharge efficiency model 172, the computer 1 outputs the discharge efficiency from the storage battery 2.

[0061] FIG. 7 is an explanatory diagram showing an example of a graph of a polynomial approximation curve. When a polynomial is derived, the polynomial approximation curve can be output. Note that FIG. 7 illustrates an example of a polynomial approximation curve for calculating discharge efficiency, but the same can be applied to a polynomial approximation curve for calculating discharge efficiency. As shown in the figure, the horizontal axis of the graph indicates the discharge power value (kW) of the storage battery 2, and the vertical axis indicates the discharge efficiency (%).

[0062] By using the polynomial approximation curve, it is possible to control the charging and discharging of the storage battery 2 based on the relationship between the charging and discharging power value and the charging and discharging efficiency of the storage battery 2. The control process for the charging and discharging of the storage battery 2 will be described in detail in the second embodiment. Note that although an example of the polynomial approximation curve for calculating the discharging efficiency has been described in FIG. 7, the same can be applied to a polynomial for calculating the charging efficiency.

[0063] In the present embodiment, the charging efficiency model 171 and the discharging efficiency model 172 are generated by determining parameters, but the present invention is not limited to this. For example, the computer 1 generates training data based on data related to power input and output to the storage battery 2 and charging and discharging power values ​​of the storage battery 2. The computer 1 may generate the charging efficiency model 171 and the discharging efficiency model 172 based on the generated training data using a neural network such as a CNN (Convolutional Neural Network).

[0064] 8 is a flowchart showing an example of a processing procedure for determining parameters. The control unit 11 of the computer 1 acquires data related to the power input to and output from the storage battery 2 during the calculation period from the first measuring device 21 of the storage battery 2 via the power conditioner 4 (step S101). The data related to the power includes, for example, the measurement times of the DC cumulative charge / discharge amount, the DC cumulative charge amount, the DC cumulative discharge amount at each measurement time, and the storage battery operating status.

[0065] The control unit 11 stores the measurement time of the acquired DC integrated charge / discharge amount, the DC integrated charge amount, the DC integrated discharge amount, and the battery operation state at each measurement time in the battery capacity measurement data DB 173 of the mass storage unit 17 (step S102).

[0066] The control unit 11 acquires data related to the storage battery 2 for the calculation period from the second measuring device 41 of the power conditioner 4 (step S103). The data related to the storage battery 2 includes the measurement times of the charge / discharge power values, the charge / discharge power values ​​at each measurement time, and the storage battery operation status. The control unit 11 stores the measurement times of the acquired charge / discharge power values, the charge / discharge power values ​​at each measurement time, and the storage battery operation status in the storage battery input / output power measurement data DB 174 of the mass storage unit 17 (step S104).

[0067] The control unit 11 sets parameters of a charging efficiency model 171 that expresses the charging efficiency of the storage battery 2 as a function of the charging power value of the storage battery 2 (step S105). The function of the charging power value of the storage battery 2 is, for example, "f(x)=ax 2 +bx+c”, where f(x) represents the charging efficiency, x represents the charging power value of the storage battery 2, and a, b, and c represent parameters of the charging efficiency model 171.

[0068] The control unit 11 sets parameters of the discharge efficiency model 172 that expresses the discharge efficiency from the storage battery 2 as a function of the discharge power value of the storage battery 2 (step S106). The function of the discharge power value of the storage battery 2 is, for example, "f(y)=my 2+ny+p". f(y) represents the discharge efficiency, y represents the discharge power value of the storage battery 2, and m, n, and p represent parameters of the discharge efficiency model 172. Note that f(x) and f(y) may be approximated by functions other than quadratic functions, such as cubic functions and quartic functions.

[0069] The difference between the DC charge amount and the DC discharge amount within the calculation period is the first value. The difference between the integral value of the product of the charge power value and the charge efficiency of the storage battery 2 and the integral value of the product of the discharge power value and the discharge efficiency of the storage battery 2 is the second value. The control unit 11 performs a process to minimize the difference between the first value and the second value using, for example, the least squares method, based on the acquired data related to power within the calculation period and data related to the storage battery 2 (step S107). The control unit 11 outputs the parameters of the charge efficiency model 171 and the parameters of the discharge efficiency model 172 determined by the minimization process (step S108), and ends the process.

[0070] According to this embodiment, it is possible to determine the parameters of the charging efficiency model 171 and the parameters of the discharging efficiency model 172 based on time series data relating to the time series changes in the data relating to the power input to the storage battery 2 and the power output from the storage battery 2, and the time series changes in the charging power value and discharging power value of the storage battery 2.

[0071] According to this embodiment, it is possible to generate the charging efficiency model 171 based on the determined parameters of the charging efficiency model 171. It is also possible to generate the discharging efficiency model 172 based on the determined parameters of the discharging efficiency model 172.

[0072] According to this embodiment, the charge / discharge efficiency of the storage battery 2 can be estimated using the charge efficiency model 171 and the discharge efficiency model 172.

[0073] (Embodiment 2) The second embodiment relates to a mode in which the determined parameters of the charging efficiency model 171 or the determined parameters of the discharging efficiency model 172 are used. Note that a description of the contents that overlap with the first embodiment will be omitted.

[0074] Based on the determined parameters of the charging efficiency model 171 or the discharge efficiency model 172, a control process can be performed on the charging or discharging of the storage battery 2. Alternatively, based on the parameters of the charging efficiency model 171 or the parameters of the discharge efficiency model 172, it can be determined whether the charging efficiency or the discharging efficiency of the storage battery 2 has decreased. If it is determined that the charging efficiency or the discharging efficiency has decreased, a notification is output.

[0075] FIG. 9 is an explanatory diagram showing an example of a graph of a polynomial approximation curve according to the second embodiment. The equation of the polynomial approximation curve for calculating the charging efficiency is, for example, "f c (L c (t))=a(L c (t)) 2 +bL c (t) + c". The equation of the polynomial approximation curve for calculating the discharge efficiency is, for example, "f d (L d (t))=m(L d (t)) 2 +nL d (t)+p". Furthermore, the parameters a, b, c, m, n, and p determined based on the parameter determination process in the first embodiment are used.

[0076] FIG. 9 illustrates an example of a polynomial approximation curve for calculating the discharge efficiency. As illustrated, the horizontal axis of the graph indicates the discharge power value (kW) of the storage battery 2, and the vertical axis indicates the discharge efficiency (%). The first threshold value is a threshold value (e.g., 50%) of the minimum discharge efficiency required for the storage battery 2. The second threshold value is a threshold value of the discharge efficiency (alert discharge efficiency) for determining the performance of the storage battery 2. The polynomial approximation curve 11a is a polynomial approximation curve generated based on the discharge power value of the storage battery 2 when the storage battery 2 is shipped. The polynomial approximation curve 11b is a polynomial approximation curve generated based on the discharge power value of the storage battery 2 after a predetermined period (e.g., one year) has elapsed.

[0077] First, the control process for discharging the storage battery 2 will be described in detail. The computer 1 receives the setting of a first threshold value for the discharge efficiency. For example, the computer 1 receives a first threshold value of 50%. The computer 1 substitutes the received first threshold value into, for example, a polynomial representing the polynomial approximation curve 11a, and derives a discharge power value corresponding to the first threshold value. The computer 1 specifies the derived discharge power value as the minimum discharge power value to be set in the storage battery 2. As shown in the figure, the minimum discharge power value in the polynomial approximation curve 11a is 0.5 kW, and the minimum discharge power value in the polynomial approximation curve 11b is 0.8 kW.

[0078] Discharge control can be performed on the storage battery 2 based on the minimum discharge power value to be set for the storage battery 2. Specifically, the computer 1 outputs the minimum discharge power value to a charge / discharge control system 22 mounted on the storage battery 2 via the power conditioner 4. The storage battery 2 acquires the minimum discharge power value output from the computer 1 via the charge / discharge control system 22. The storage battery 2 acquires the discharge power value of the storage battery 2 from a second measuring device 41 of the power conditioner 4.

[0079] If the storage battery 2 determines that the acquired discharge power value exceeds the minimum discharge power value, it determines that the discharge efficiency is good. If the storage battery 2 determines that the acquired discharge power value is equal to or less than the minimum discharge power value, it determines that the discharge efficiency is poor. If the storage battery 2 determines that the discharge efficiency is poor, it outputs an instruction not to discharge to the charge / discharge control system 22 installed in the storage battery 2. According to the above-described processing, when the discharge efficiency of the storage battery 2 is poor, it is possible to perform control not to discharge the storage battery 2.

[0080] Although the control process for determining whether charging is possible or not based on a threshold value in the charge control process for the storage battery 2 has been described, the same can be applied to the control process for determining whether discharging is possible or not based on a threshold value in the discharge control process for the storage battery 2.

[0081] Next, a process for determining whether the discharge efficiency of the storage battery 2 has decreased will be described in detail. The computer 1 acquires a second threshold value of the discharge efficiency for determining the performance of the storage battery 2. For example, the computer 1 acquires the second threshold value of 95%. The computer 1 determines whether a predetermined period (for example, one year) has passed after determining the parameters of the discharge efficiency model 172.

[0082] When the computer 1 determines that the predetermined period has elapsed, it acquires time-series data recorded after determining the parameters. The time-series data is data relating to time-series changes in data related to power and time-series changes in the discharge power value of the storage battery 2. Based on the acquired time-series data, the computer 1 redetermines the parameters of the discharge efficiency model 172, similar to the parameter determination process in the first embodiment.

[0083] The computer 1 re-derives the polynomial based on the parameters of the redetermined discharge efficiency model 172. As shown in the figure, the re-derived polynomial is used to generate a polynomial approximation curve 11b based on the discharge power value of the storage battery 2. The computer 1 obtains the maximum value of the discharge efficiency of the storage battery 2 based on the re-derived polynomial.

[0084] The computer 1 determines whether the acquired maximum value of the discharge efficiency is equal to or less than the second threshold. If the computer 1 determines that the acquired maximum value of the discharge efficiency is equal to or less than the second threshold, the computer 1 outputs a notification. For example, the computer 1 may output a notification including a notification that the discharge efficiency of the storage battery 2 has decreased to a user terminal or a management terminal used in the facility.

[0085] Although an example of a polynomial approximation curve for calculating the discharge efficiency has been described in FIG. 9, the same can be applied to a polynomial approximation curve for calculating the charge efficiency.

[0086] 10 is a flowchart showing an example of a processing procedure when performing control processing on the discharge of the storage battery 2. The control unit 11 of the computer 1 receives the setting of a first threshold value for discharge efficiency via the input unit 14 (step S111). Note that the first threshold value may be stored in advance in the storage unit 12, the mass storage unit 17, or the like.

[0087] The control unit 11 identifies a minimum discharge power value to be set in the storage battery 2 based on the received first threshold value (step S112). Specifically, the control unit 11 substitutes the received first threshold value into the polynomial of the discharge efficiency whose parameters have been determined, and identifies the discharge power value corresponding to the first threshold value as the minimum discharge power value. The control unit 11 transmits the identified minimum discharge power value via the communication unit 13 to the charge / discharge control system 22 mounted on the storage battery 2 via the power conditioner 4 (step S113).

[0088] It should be noted that once the process of identifying and transmitting the minimum discharge power value (steps S111 to S113) has been executed once, the execution of the process can be omitted from the next time.

[0089] The storage battery 2 receives the minimum discharge power value transmitted from the computer 1 via the charge / discharge control system 22 (step S211). The storage battery 2 acquires the discharge power value of the storage battery 2 from the second measuring device 41 of the power conditioner 4 (step S212). The storage battery 2 determines whether the acquired discharge power value of the storage battery 2 is equal to or less than the minimum discharge power value (step S213).

[0090] If the storage battery 2 determines that the acquired discharge power value of the storage battery 2 exceeds the minimum discharge power value (NO in step S213), it determines that the discharge efficiency is good (step S214) and returns to the process of step S212. If the storage battery 2 determines that the acquired discharge power value of the storage battery 2 is equal to or less than the minimum discharge power value (YES in step S213), it determines that the discharge efficiency is poor (step S215). The storage battery 2 outputs an instruction not to discharge to the charge / discharge control system 22 installed in the storage battery 2 (step S216) and returns to the process of step S212.

[0091] Although an example of control processing for discharging has been described in FIG. 10, the same can be applied to control processing for charging.

[0092] 11 is a flowchart showing an example of a processing procedure for redetermining the parameters of the discharge efficiency model 172. The control unit 11 of the computer 1 determines whether a predetermined period (for example, one year) has elapsed after determining the parameters of the discharge efficiency model 172 (step S121).

[0093] If the control unit 11 determines that the predetermined period has not elapsed (NO in step S121), it waits. If the control unit 11 determines that the predetermined period has elapsed (YES in step S121), it acquires time-series data relating to the time-series changes in the data related to power and the time-series changes in the discharge power value of the storage battery 2, which were recorded after the parameter was determined (step S122).

[0094] The control unit 11 performs a process of redetermining the parameters of the discharge efficiency model 172 based on the acquired time-series data (step S123). Note that the parameter redetermining process is similar to the parameter determination process in embodiment 1, and therefore a description thereof will be omitted. The control unit 11 acquires the maximum value of the discharge efficiency of the storage battery 2 based on the redetermined parameters of the discharge efficiency model 172 (step S124).

[0095] The control unit 11 acquires a second threshold value for the discharge efficiency from the storage unit 12 (step S125). The second threshold value may be received by the input unit 14. The control unit 11 determines whether the acquired maximum value of the discharge efficiency is equal to or less than the second threshold value (step S126). If the control unit 11 determines that the acquired maximum value of the discharge efficiency is equal to or less than the second threshold value (YES in step S126), it outputs a notification including a message that the discharge efficiency of the storage battery 2 has decreased (step S127) and ends the process. If the control unit 11 determines that the acquired maximum value of the discharge efficiency has exceeded the second threshold value (NO in step S126), it ends the process.

[0096] Although an example of determining the parameters of the discharge efficiency model 172 has been described with reference to FIG. 11, the same can be applied to the process of determining the parameters of the charge efficiency model 171 as a reverse operation.

[0097] According to this embodiment, it is possible to control the charging and discharging of the storage battery 2 based on the parameters of the charging efficiency model 171 or the parameters of the discharging efficiency model 172.

[0098] According to this embodiment, when it is determined that the charging efficiency or discharging efficiency of the storage battery 2 is poor, control is performed so as not to charge or discharge the storage battery 2. Since no load is applied to the storage battery 2, it is possible to avoid adverse effects such as performance degradation due to overcharging or overdischarging.

[0099] According to this embodiment, it is possible to redetermine the parameters of the charging efficiency model 171 or the parameters of the discharging efficiency model 172 after a predetermined period of time has elapsed.

[0100] The embodiments disclosed herein are to be considered in all respects as illustrative and not restrictive. The scope of the present invention is defined by the claims, not by the above meaning, and is intended to include all modifications within the meaning and scope of the claims. [Explanation of symbols]

[0101] 1. Information processing equipment (computer) 11 Control section 12 Storage section 13 Communications Department 14 Input section 15 Display 16 Reading unit 17 Mass storage 171 Charging Efficiency Model 172 Discharge Efficiency Model 173 Battery capacity measurement data DB 174 Battery Input / Output Power Measurement Data DB 1a Portable storage media 1b semiconductor memory 1P control program 2. Storage battery 21 1st measuring device 22 Charge and discharge control system 3 Distribution board 4 Power conditioner 41 Second measuring device

Claims

1. Recording time-series data relating to time-series changes in data relating to power input to and power output from the storage battery, and time-series changes in charging power values ​​and discharging power values ​​of the storage battery; setting parameters of a charging efficiency model that represents the charging efficiency of the storage battery as a function of a charging power value of the storage battery; setting parameters of a discharge efficiency model that represents the discharge efficiency from the storage battery as a function of the discharge power value of the storage battery; determining parameters of the charging efficiency model and parameters of the discharging efficiency model based on the time series data; Information processing methods.

2. a difference between the power charged to the storage battery and the power discharged from the storage battery within a calculation period is a first value, and a difference between an integral value of the product of the charge power value and the charging efficiency of the storage battery within the calculation period and an integral value of the product of the discharge power value and the discharging efficiency of the storage battery within the calculation period is a second value; The parameters of the charging efficiency model and the parameters of the discharging efficiency model are determined based on the time series data so as to reduce the difference between the first value and the second value. The information processing method according to claim 1 .

3. The parameters of the charging efficiency model and the parameters of the discharging efficiency model are determined based on the following formulas: The information processing method according to claim 2 . [Equation 1] t start is the start time of the calculation period. t end is the end time of the calculation period. ΔQ ｃ is the DC charging amount during the calculation period. ΔQ ｄ is the DC discharge amount during the calculation period. f ｃ (L ｃ (t)) is a function for determining the charging efficiency. L ｃ (t) is the charging power value of the storage battery at time t. f ｄ (L ｄ (t)) is a function for determining the discharge efficiency. L ｄ (t) is the discharge power value of the storage battery at time t.

4. The data relating to the power input / output to / from the storage battery is the DC integrated charge / discharge amount.

4. The information processing method according to claim 1.

5. Accepting a setting of a first threshold value related to charging efficiency or discharging efficiency; Based on the charging efficiency model or the discharging efficiency model, a charging power value or a discharging power value of a storage battery whose charging efficiency or discharging efficiency exceeds the received first threshold is output.

5. The information processing method according to claim 1.

6. The charging power value or discharging power value of the storage battery is output to a charging / discharging control system. The information processing method according to claim 5 .

7. When a predetermined period of time has elapsed after determining the parameters of the charging efficiency model, the time-series data recorded after determining the parameters is acquired; Re-determining the parameters of the charging efficiency model based on the acquired time series data.

7. The information processing method according to claim 1.

8. Obtaining a maximum value of the charging efficiency of the storage battery based on the parameters of the redetermined charging efficiency model; If it is determined that the acquired maximum value of the charging efficiency is equal to or less than a predetermined second threshold, a notification is output. The information processing method according to claim 7.

9. When a predetermined period of time has elapsed after the parameters of the discharge efficiency model have been determined, the time series data recorded after the parameters have been determined is acquired; Re-determining the parameters of the discharge efficiency model based on the acquired time series data.

7. The information processing method according to claim 1.

10. Obtaining a maximum value of the discharge efficiency of the storage battery based on the parameters of the redetermined discharge efficiency model; If it is determined that the acquired maximum value of the discharge efficiency is equal to or less than a predetermined third threshold, a notification is output. The information processing method according to claim 9.

11. Recording time-series data relating to time-series changes in data relating to power input to and power output from the storage battery, and time-series changes in charging power values ​​and discharging power values ​​of the storage battery; setting parameters of a charging efficiency model that represents the charging efficiency of the storage battery as a function of a charging power value of the storage battery; setting parameters of a discharge efficiency model that represents the discharge efficiency from the storage battery as a function of the discharge power value of the storage battery; determining parameters of the charging efficiency model and parameters of the discharging efficiency model based on the time series data; A program that causes a computer to perform a process.

12. a recording unit that records time-series data relating to time-series changes in data relating to power input to and output from the storage battery, and time-series changes in charging power values ​​and discharging power values ​​of the storage battery; a first setting unit that sets parameters of a charging efficiency model that represents the charging efficiency of the storage battery as a function of a charging power value of the storage battery; a second setting unit that sets parameters of a discharge efficiency model that expresses the discharge efficiency from the storage battery as a function of a discharge power value of the storage battery; a determination unit that determines parameters of the charging efficiency model and parameters of the discharging efficiency model based on the time-series data; An information processing device comprising:

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