WO2024057996A1

WO2024057996A1 - Electricity storage element degradation state calculating device, degradation state calculating method, degradation state calculating program, degradation state estimating device, degradation state estimating method, abnormality detecting device, and abnormality detecting method

Info

Publication number: WO2024057996A1
Application number: PCT/JP2023/032309
Authority: WO
Inventors: 南鵜久森
Original assignee: 株式会社Ｇｓユアサ
Priority date: 2022-09-14
Filing date: 2023-09-05
Publication date: 2024-03-21

Abstract

Provided are a calculating device, etc., capable of accurately calculating current and future degradation states of an electricity storage element.　The calculating device comprises: an acquiring unit for acquiring actual measurement data and virtual measurement data relating to the electricity storage element; and a calculating unit for calculating the current and future degradation states of the electricity storage element on the basis of the measurement data relating to the electricity storage element. If the current degradation state is to be calculated, the calculating unit calculates the degradation state in accordance with a predetermined calculation algorithm on the basis of the actual measurement data acquired by the acquiring unit, and if the future degradation state is to be calculated, the calculating unit calculates the degradation state in accordance with the predetermined calculation algorithm on the basis of the virtual measurement data acquired by the acquiring unit.

Description

Calculation device, deterioration state calculation method, program, estimation device, estimation method, abnormality detection device and abnormality detection method

The present invention relates to a calculation device, a deterioration state calculation method, a program, an estimation device, an estimation method, an abnormality detection device, and an abnormality detection method.

Energy storage devices are batteries for uninterruptible power supplies (backup), batteries for movable bodies such as automobiles, trains, and aircraft, or batteries for auxiliary equipment, or batteries for renewable energy power plants that guarantee a stable power supply. etc. are widely used.

It is known that repeated charging and discharging of a power storage element progresses its deterioration, and its power storage capacity gradually decreases. In order to effectively utilize a power storage element, it is important to understand how much the power storage capacity decreases.

Patent Document 1 discloses a battery capacity prediction device that can predict battery capacity. In Patent Document 1, the battery capacity at a predetermined point in time is determined by calculating the amount of battery capacity deterioration over a certain period of time based on the state of charge, temperature, and elapsed time of the battery, and subtracting the integrated value of the deterioration amount from the initial battery capacity. Calculate.

Patent Document 2 discloses a technique for improving the accuracy of predicting the future deterioration state of lithium ion secondary batteries currently in use. In Patent Document 2, data on past products that match or approximate the current state of the prediction target, extracted from the usage history of the secondary battery registered in a database, are used to determine the current state of the secondary battery to be predicted. predict the lifespan of

Power storage elements are widely used in uninterruptible power supplies, DC power supplies, etc. In addition, the use of power storage elements in large-scale systems that store electricity generated by renewable energy or existing power generation systems is expanding. Multiple power storage elements are used in large-scale systems.

In systems using power storage elements, it is important to accurately understand the status of each power storage element. Various methods have been proposed to understand the state of power storage elements, including methods that use measurement data such as voltage, current, and temperature observed during charging and discharging of power storage elements, and efforts are being made to improve accuracy (for example, patents (See Reference 3).

Japanese Patent Application Publication No. 2000-228227 Patent No. 6411538 Japanese Patent Application Publication No. 2013-003115

Regarding calculation of the deterioration state of the power storage element, there is a need to calculate both the current deterioration state and the future deterioration state of the power storage element. Patent Document 1 proposes separate techniques for calculating the current state of deterioration and the future state of deterioration, but sufficient studies have not yet been conducted on integrating them to calculate the state of deterioration. .

Further, in Patent Document 1, when calculating the future power storage capacity, historical data of the power storage element up to the present is not taken into account, and the current state of deterioration of the power storage element cannot be appropriately grasped. The storage capacity and the state of deterioration may differ, for example, depending on the usage history such as the operating temperature range and usage conditions (e.g. cycle use, stationary use, etc.), even if the storage capacity is the same, the state of health (SOH) may differ. are often different. In such a case, predicting the future state of deterioration from the current state of deterioration that is not based on historical data will result in poor prediction accuracy.

The technology described in Patent Document 2 cannot predict the lifespan if there is no data on past products that match or approximate the current state of the prediction target. Furthermore, since the predictable period is limited to the period corresponding to the data interval of registered past products, it is difficult to predict the lifespan over a long period from the viewpoint of data accumulation.

One aspect of the present invention is to provide a calculation device and the like that can accurately calculate the current and future deterioration states of power storage elements.

Measured data such as voltage, current, temperature, etc. of the power storage element depend on the internal state quantity of the power storage element. For example, when a discharging current or a charging current flows through a power storage element for a predetermined period of time, the internal state of the power storage element changes, such as the state of charge (SOC) and state of health (SOH) of the power storage element. The voltage of the electricity storage element changes. In order to accurately understand the state of the power storage element, it is important to understand the internal state quantity of the power storage element. Unlike voltage, current, temperature, etc., the internal state quantity of a power storage element cannot be directly measured or cannot be easily measured. In particular, in a large-scale system including a plurality of power storage elements, it is not easy to efficiently grasp the internal state quantity of each power storage element. For this reason, a technology that can efficiently present the internal state quantity of a power storage element is desired.

One aspect of the present invention is to provide an estimation device or the like that can efficiently present the internal state quantity of a power storage element.

As a state diagnosis of the power storage element, an abnormality of the power storage element is detected based on the magnitude of the difference between the measurement data of the power storage element and the threshold value of the measurement data. In such state diagnosis based on comparison of measurement data and a threshold value, the internal state quantity of the power storage element is not taken into consideration.

The measurement data of the power storage element depends on the internal state quantity of the power storage element. For example, when a discharging current or a charging current flows through a power storage element for a predetermined period of time, the internal state of the power storage element changes, such as the state of charge (SOC) and state of health (SOH) of the power storage element. , the voltage of the storage element changes. Even if the value of the difference between the measurement data and the threshold value is the same, the influence on the power storage element differs depending on the transition of the internal state quantity of the power storage element. For example, when comparing a case where the voltage difference in a power storage element with an SOC of approximately 20% is 1V and a case where a voltage difference in a power storage element with an SOC of approximately 50% is 1V, it is found that even though the voltage difference is 1V, there are differences in the power storage element. The degree of Therefore, when focusing only on the value of measurement data, there is a risk that the accuracy of abnormality detection will deteriorate.

One aspect of the present invention is to provide an abnormality detection device and the like that can improve the accuracy of abnormality detection of power storage elements.

As a state diagnosis of the power storage element, an abnormality of the power storage element is detected based on the magnitude of the difference between the measurement data of the power storage element and the threshold value of the measurement data. In such state diagnosis based on comparison of measurement data and a threshold value, the internal state quantity of the power storage element is not taken into account.

A calculation device according to an aspect of the present disclosure includes an acquisition unit that acquires actual measurement data and virtual measurement data of a power storage element, and calculates a current and future deterioration state of the power storage element based on the measurement data of the power storage element. and a calculating section. When calculating the current deterioration state, the calculation section calculates the deterioration state according to a predetermined calculation algorithm based on the actual measurement data acquired by the acquisition section, and when calculating the future deterioration state, the acquisition section calculates the deterioration state. The deterioration state is calculated based on the acquired virtual measurement data according to the predetermined calculation algorithm.

An estimation device according to an aspect of the present disclosure uses an acquisition unit that acquires measurement data of a power storage element and a power storage element simulator that estimates measurement data of the power storage element based on an internal state quantity of the power storage element. and an estimation section that estimates an internal state quantity of the electricity storage element so that the measurement data output from the simulator approximates the measurement data acquired by the acquisition section.

An abnormality detection device according to an aspect of the present disclosure includes an acquisition unit that acquires measurement data of a reference power storage element and a target power storage element, and an acquisition unit that acquires measurement data of a reference power storage element and a target power storage element, and a power storage element based on each measurement data acquired by the acquisition unit and an internal state quantity of the power storage element. and a power storage element simulator that estimates the measurement data of the reference power storage element and the target power storage element so that the measurement data output from the power storage element simulator approximates the measurement data acquired by the acquisition unit. and a detection unit that detects an abnormality in the target power storage element based on a comparison between the internal state quantity of the reference power storage element estimated by the estimation part and the internal state quantity of the target power storage element. Be prepared.

An abnormality detection device according to an aspect of the present disclosure includes an acquisition unit that acquires measurement data of a reference power storage element and a target power storage element, and a reference power storage element that is estimated from the measurement data of the reference power storage element acquired by the acquisition unit. Setting a detection standard based on measurement data estimated by a power storage element simulator and measurement data of the reference power storage element acquired by the acquisition unit based on an internal state quantity obtained by adding an allowable difference to the internal state quantity of . and a detection unit that detects an abnormality in the target power storage element based on the detection criteria set by the setting unit and the measurement data of the target power storage element acquired by the acquisition unit.

An abnormality detection device according to an aspect of the present disclosure includes an acquisition unit that acquires measurement data of a reference power storage element and a target power storage element, and a reference power storage element that is estimated from the measurement data of the reference power storage element acquired by the acquisition unit. Setting a detection standard based on measurement data estimated by a power storage element simulator and measurement data of the reference power storage element acquired by the acquisition unit based on an internal state quantity obtained by adding an allowable difference to the internal state quantity of . It is equipped with a section.

According to one aspect, the current and future deterioration states of the power storage element can be calculated with high accuracy.

According to one aspect, the internal state quantity of the power storage element can be efficiently presented.

According to one aspect, the accuracy of abnormality detection of the power storage element can be improved.

1 is a diagram illustrating a configuration example of a remote monitoring system. FIG. 1 is a block diagram showing a configuration example of a power generation system. It is a block diagram showing an example of composition of a calculation device. FIG. 2 is a functional block diagram showing a configuration example of a calculation device. 12 is a flowchart illustrating an example of a deterioration state calculation process procedure. It is a flowchart which shows an example of the processing procedure which the calculation device of 2nd Embodiment performs. It is a figure showing an example of composition of a remote monitoring system of a 3rd embodiment. FIG. 1 is a block diagram showing a configuration example of a power generation system. It is a block diagram showing an example of composition of an estimation device. FIG. 2 is a functional block diagram showing a configuration example of an estimation device. It is a figure explaining the method of estimating an internal state quantity. 3 is a flowchart illustrating an example of a procedure for estimating an internal state quantity. It is a figure showing an example of composition of a remote monitoring system of a 4th embodiment. FIG. 1 is a block diagram showing a configuration example of a power generation system. FIG. 2 is a block diagram showing a configuration example of an abnormality detection device. FIG. 2 is a functional block diagram showing a configuration example of an abnormality detection device. It is a figure explaining the method of estimating an internal state quantity. 3 is a flowchart illustrating an example of an abnormality detection processing procedure. 12 is a flowchart illustrating an example of a detailed procedure for estimating an internal state quantity. It is a figure showing an example of composition of a remote monitoring system of a 5th embodiment. FIG. 1 is a block diagram showing a configuration example of a power generation system. FIG. 2 is a block diagram showing a configuration example of an abnormality detection device. FIG. 2 is a functional block diagram showing a configuration example of an abnormality detection device. It is a figure explaining the method of estimating an internal state quantity. 3 is a flowchart illustrating an example of an abnormality detection processing procedure. 12 is a flowchart illustrating an example of a detailed procedure for estimating an internal state quantity.

(1) A calculation device according to one aspect of the present disclosure includes an acquisition unit that acquires actual measurement data and virtual measurement data of a power storage element, and current and future deterioration of the power storage element based on the measurement data of the power storage element. and a calculation unit that calculates the state. When calculating the current deterioration state, the calculation section calculates the deterioration state according to a predetermined calculation algorithm based on the actual measurement data acquired by the acquisition section, and when calculating the future deterioration state, the acquisition section calculates the deterioration state. The deterioration state is calculated based on the acquired virtual measurement data according to the predetermined calculation algorithm.

According to the calculation device according to one aspect of the present disclosure, the estimation process for calculating the current state of deterioration and the prediction process for calculating the future state of deterioration can be made common. By standardizing the calculation algorithms, not only the number of algorithms to be stored is reduced, but also the processing for selecting calculation algorithms depending on the case becomes unnecessary, and the processing flow can be simplified. Further, although different calculation algorithms may have different accuracy, by making them common, there is no difference in accuracy for current and future deterioration states. In other words, by standardizing the calculation algorithm, it becomes possible to inherit the state of the power storage element in the current deterioration state estimation process and perform the future deterioration state prediction process with the same accuracy. It is possible to calculate a deterioration state that is continuous with the past, present, and future, and the consistency of the deterioration state calculation results is increased.

(2) In the calculation device according to (1) above, the calculation unit calculates the current state of deterioration based on the actual measurement data, and then calculates the virtual measurement data generated based on the actual measurement data. The future state of deterioration may be calculated based on the following.

According to the calculation device described in (2) above, the deterioration state calculation algorithm for the current deterioration state estimation process and the future deterioration state prediction process is made common, and the future deterioration state is calculated after calculating the current deterioration state. In order to predict the state of deterioration, processing can be switched depending on the input measurement data, and the state of deterioration at any point in time can be efficiently calculated while ensuring data continuity. Furthermore, since virtual measurement data is generated based on actual measurement data and future deterioration conditions are predicted, accuracy is improved.

(3) In the calculation device according to (1) or (2) above, the calculation unit may calculate a future deterioration state using the current deterioration state calculated based on the actual measurement data as a reference value. .

According to the calculation device described in (3) above, the calculation result of the current state of deterioration can be reflected in the future state of deterioration. For example, since the future deterioration state can be continuously calculated using the current deterioration state value as an initial value, the prediction accuracy of the deterioration state can be improved.

(4) In the calculation device according to any one of (1) to (3) above, a load estimating unit that estimates a virtual load of the power storage element based on time-series actual measurement data, and the load estimator. and a generation section that generates the virtual measurement data based on the virtual load estimated by the section.

"Virtual load" is a virtual load and means how a virtual power storage element is used. The virtual load may include information indicating, for example, virtual power, environmental temperature, heat dissipation conditions of the power storage element such as heat transfer coefficient or thermal conductivity, a control method of the power storage element, and the like.

In standardizing calculation algorithms for calculating current and future deterioration states, unmeasured measurement data used to calculate future deterioration states will be required. According to the calculation device described in (4) above, by estimating the virtual load based on the history of the actual measured values of the energy storage element and generating measurement data from the estimated virtual load, the usage state of the energy storage element can be adjusted. Corresponding virtual measurement data can be suitably generated. By generating virtual measurement data over a desired period, it becomes possible to predict the lifespan in any prediction period.

(5) In the calculation device according to (4) above, the generation unit generates a plurality of virtual measurement data based on a plurality of virtual load patterns, and the calculation unit generates future data corresponding to each virtual measurement data. The state of deterioration may also be calculated.

According to the calculation device described in (5) above, it is possible to calculate a wide range of deterioration states assuming various usage modes. Since the future state of deterioration is calculated based on virtual measurement data, the reliability of the calculation result is lower than that of the current state of deterioration that is calculated based on actual measurement data. By calculating the deterioration state with a range, it is possible to improve the reliability of predicting the future deterioration state.

(6) In the calculation device according to any one of (1) to (5) above, the calculation unit calculates an internal state quantity of the electricity storage element based on measurement data of the electricity storage element, and The deterioration state of the power storage element may be calculated based on the internal state quantity.

The internal state quantity may include, for example, the SOC (State of Charge) of the power storage element, internal temperature, positive electrode capacity, negative electrode capacity, capacity balance shift, etc. A shift in capacity balance refers to a difference in capacity between the positive electrode and the negative electrode of a power storage element, in which charged ions can reversibly enter and exit from the electrodes. Please refer to Japanese Patent No. 6428958 for details on the capacity imbalance.

According to the calculation device described in (6) above, the deterioration state can be calculated by accurately considering the deterioration state and usage history of the power storage element by converting the measurement data into the history of internal state quantities. The calculation accuracy can be improved.

(7) The calculation device according to any one of (1) to (6) above, further comprising a correction section that corrects the predetermined calculation algorithm based on correction information of the current state of deterioration calculated by the calculation section. You can.

According to the calculation device described in (7) above, the calculation accuracy of the deterioration state can be improved by correcting the calculation algorithm based on the correction information. The accuracy of the calculation algorithm can be improved while calculating (while operating the calculation device). The built-in calculation algorithm is not immutable, and the calculation device can autonomously evolve the calculation algorithm in a direction that improves accuracy.

(8) A method for calculating a state of deterioration according to one aspect of the present disclosure is to obtain actual measurement data and virtual measurement data of a power storage element, and when calculating the current state of deterioration, based on the obtained actual measurement data. When calculating the deterioration state according to a predetermined calculation algorithm and calculating the future deterioration state, the computer executes a process of calculating the deterioration state according to the predetermined calculation algorithm based on the acquired virtual measurement data.

(9) When the program according to one aspect of the present disclosure acquires actual measurement data and virtual measurement data of a power storage element and calculates the current state of deterioration, the program uses a predetermined calculation algorithm based on the acquired actual measurement data. When calculating the state of deterioration according to the method and calculating the state of deterioration in the future, the computer is caused to execute a process of calculating the state of deterioration according to the predetermined calculation algorithm based on the acquired virtual measurement data.

Hereinafter, the present disclosure will be specifically described with reference to drawings showing embodiments thereof.

(First embodiment)
FIG. 1 is a diagram showing a configuration example of a remote monitoring system 100. Remote monitoring system 100 allows remote access to information regarding power storage elements included in power generation system 200. The remote monitoring system 100 includes a power generation system 200 to be remotely monitored, and a calculation device 50 that collects information from the power generation system 200. The calculation device 50 and the power generation system 200 are communicably connected via a network N1 such as the Internet. The number of power generation systems 200 may be one or three or more. The calculation device 50 may be integrated into any of the power generation systems 200.

FIG. 2 is a block diagram showing a configuration example of the power generation system 200. Illustrations of power generation devices such as solar power generation systems and wind power generation systems are omitted. The power generation system 200 includes a communication device 10, a domain management device 30, and a power storage unit (domain) 40. Server device 20 is connected to communication device 10 via network N2. Power storage unit 40 may include a plurality of banks 41. The power storage unit 40 is, for example, housed in a battery panel and used in a thermal power generation system, a mega solar power generation system, a wind power generation system, an uninterruptible power supply (UPS), a stabilized power supply system for railways, etc. Ru. A configuration including the communication device 10, the domain management device 30, and the power storage unit 40 is called a power storage system. The power storage system may include a power conditioner (not shown). The power storage unit 40 is not limited to industrial use, and may be used for home use.

An operator conducts a business that designs, installs, operates, and maintains a power storage system including a communication device 10, a domain management device 30, and a power storage unit 40, and can remotely monitor the power storage system using the remote monitoring system 100.

The communication device 10 includes a control section 11, a storage section 12, a first communication section 13, and a second communication section 14. The control unit 11 is composed of a CPU (Central Processing Unit) and the like, and controls the entire communication device 10 using built-in memories such as a ROM (Read Only Memory) and a RAM (Random Access Memory).

The storage unit 12 includes, for example, a nonvolatile storage device such as a flash memory. The storage unit 12 can store necessary information, for example, information obtained through processing by the control unit 11.

The first communication unit 13 includes a communication interface that realizes communication with the domain management device 30 or the battery management device 44. The control unit 11 can communicate with the domain management device 30 through the first communication unit 13.

The second communication unit 14 includes a communication interface that realizes communication via the network N2. The control unit 11 can communicate with the server device 20 through the second communication unit 14.

The domain management device 30 sends and receives information to and from each bank 41 using a predetermined communication interface. The storage unit 12 can store operational data acquired via the domain management device 30.

The server device 20 can collect actual measured values of measurement data of the power storage system from the communication device 10. The measurement data includes measured values such as the current value, voltage value, and temperature of each power storage element in the power storage system. The server device 20 stores the collected measurement data classified for each power storage element. The server device 20 can transmit measurement data to the calculation device 50 via the networks N2 and N1. Note that the networks N1 and N2 may be one communication network. The server device 20 may function as the calculation device 50.

The bank 41 includes a plurality of power storage modules connected in series, and includes a battery management unit (BMU) 44, a plurality of power storage modules 42, and a measurement board (CMU: Cell Management Unit) provided in each power storage module 42. Unit) 43, etc.

The power storage module 42 has a plurality of power storage cells connected in series. In this specification, a "power storage element" may mean a power storage cell, a power storage module 42, a bank 41, or a domain in which banks 41 are connected in parallel. In this embodiment, the measurement board 43 acquires power storage element information regarding the state of each power storage cell of the power storage module 42. The power storage element information includes, for example, the voltage, current, temperature, etc. of the power storage cell. The power storage element information can be repeatedly acquired at appropriate intervals, such as 0.1 seconds, 0.5 seconds, 1 second, etc., for example. The power storage element information becomes measurement data or a part of the measurement data. The "power storage element" is preferably a rechargeable secondary battery such as a lead-acid battery or a lithium ion battery, or a capacitor. A portion of the power storage element may be a non-rechargeable primary battery.

The battery management device 44 can communicate with the measurement board 43 with a communication function through serial communication, and can acquire information on the power storage elements detected by the measurement board 43. The battery management device 44 can send and receive information to and from the domain management device 30. The domain management device 30 aggregates power storage element information from the battery management devices 44 of banks belonging to the domain. The domain management device 30 outputs the aggregated power storage element information to the communication device 10. In this way, the communication device 10 can acquire measurement data of the power storage unit 40 via the domain management device 30. The communication device 10 transmits the acquired measurement data to the calculation device 50 via the server device 20.

FIG. 3 is a block diagram showing a configuration example of the calculation device 50. The calculation device 50 is, for example, a server computer, a personal computer, a quantum computer, etc., and performs various information processing and transmission and reception of information. The calculation device 50 may be a multicomputer consisting of a plurality of computers, or may be a virtual machine virtually constructed by software. The calculation device 50 includes a control section 51, a storage section 52, a communication section 53, a display section 54, an operation section 55, and the like.

The control unit 51 is an arithmetic circuit including a CPU, a GPU (Graphics Processing Unit), a ROM, a RAM, and the like. The CPU or GPU included in the control unit 51 executes various computer programs stored in the ROM or the storage unit 52, and controls the operations of the hardware units described above. The control unit 51 may have functions such as a timer that measures the elapsed time from when a measurement start instruction is given until a measurement end instruction is given, a counter that counts, a clock that outputs date and time information, and the like.

The storage unit 52 includes a nonvolatile storage device such as a flash memory or a hard disk drive. The storage unit 52 stores various computer programs, data, etc. that are referenced by the control unit 51.

In this embodiment, the storage unit 52 stores a program 521 for causing a computer to execute processing related to calculating the deterioration state of the power storage element, and a measurement DB (Data Base) 522 as data necessary for executing the program 521. ing.

The measurement DB 522 is a database that stores measurement data received from the power generation system 200. As described above, the measurement data includes measured values of the current, voltage, and temperature of the power storage element in the power generation system 200. The measurement DB 522 stores, in chronological order, records in which information such as the identification information of the power storage element, the measurement date and time of the measurement value, and the measurement data are linked using, for example, an ID for identifying measurement data as a key. The measurement DB 522 may further store a deterioration state based on measurement data at each point in time. The measurement DB 522 stores actual measured values of measurement data. When the control unit 51 receives the measurement data transmitted from the server device 20, the control unit 51 stores the received measurement data and the like in the measurement DB 522 in chronological order.

A computer program (program product) including the program 521 may be provided by a non-temporary recording medium 5A on which the computer program is readably recorded. The recording medium 5A is a portable memory such as a CD-ROM, a USB memory, or an SD (Secure Digital) card. The control unit 51 reads a desired computer program from the recording medium 5A using a reading device (not shown), and stores the read computer program in the storage unit 52. Alternatively, the computer program may be provided via communication. Program 521 may be a single computer program or may consist of multiple computer programs, and may be executed on a single computer or multiple computers interconnected by a communications network. good.

The communication unit 53 includes a communication interface that realizes communication via the network N1. The control unit 51 receives measurement data transmitted from the power generation system 200 through the communication unit 53.

The display unit 54 includes a display device such as a liquid crystal display or an organic EL (Electro Luminescence) display. The display section 54 displays various information according to instructions from the control section 51. The operation unit 55 is an interface that accepts user operations. The operation unit 55 includes, for example, a keyboard, a touch panel device with a built-in display, a speaker, a microphone, and the like. The operation unit 55 receives operation input from the user and sends a control signal to the control unit 51 according to the operation content.

The calculation device 50 may be configured to accept operations through an externally connected computer and output information to be notified to the external computer. In this case, the calculation device 50 does not need to include the display section 54 and the operation section 55.

FIG. 4 is a functional block diagram showing a configuration example of the calculation device 50. The control unit 51 of the calculation device 50 reads and executes the program 521 stored in the storage unit 52, thereby controlling the functions of the acquisition unit 511, the calculation unit 512, the load estimation unit 513, the generation unit 514, and the output unit 515. Realize. Alternatively, some of these functions may be realized by a dedicated hardware circuit (for example, FPGA or ASIC) provided in the control unit 51.

The acquisition unit 511 acquires measurement data of the power storage element. When estimating the current (current) state of deterioration, the acquisition unit 511 acquires actual measurement data by reading desired measurement data from the measurement data stored in the measurement DB 522. Actual measurement data means actual measured values of measurement data. Further, when predicting a future state of deterioration, the acquisition unit 511 acquires virtual measurement data by accepting virtual measurement data output from the generation unit 514, which will be described later. Virtual measurement data is measurement data that is virtually generated and means unmeasured measurement data. The acquisition unit 511 may include a first acquisition unit 511 that acquires actual measurement data, and a second acquisition unit 511 that acquires virtual measurement data.

The calculation unit 512 calculates the deterioration state of the power storage element based on the actual measurement data or virtual measurement data acquired by the acquisition unit 511. The calculation unit 512 calculates the state of deterioration according to a predetermined calculation algorithm for calculating the storage capacity of the storage element based on the measurement data. In the following, a case will be described in which the storage capacity (battery capacity) of the storage element is calculated as the deteriorated state. Alternatively, the state of deterioration may be, for example, internal resistance, charge/discharge characteristics, amount of deterioration in storage capacity (e.g. amount of deterioration when energized and amount of deterioration when not energized), SOH, deterioration rate of positive electrode/negative electrode, shift in capacity balance, etc. Good too.

In this embodiment, an example calculation algorithm will be described in which an internal state quantity of a power storage element is calculated based on measurement data, and a deterioration state is calculated based on the calculated internal state quantity. Not limited.

The calculation unit 512 calculates time-series data of internal state quantities including the SOC and temperature of the power storage element based on the measurement data obtained in time-series. Based on the measurement data and the history of the calculated SOC and temperature, the calculation unit 512 sharply distinguishes between energized deterioration, which indicates deterioration due to energization of the power storage element, and non-energized deterioration, which represents deterioration not caused by energization of the power storage element, For example, each amount of deterioration is calculated based on the root rule. The calculation unit 512 calculates the amount of energization deterioration based on the amount of SOC fluctuation (size of fluctuation) specified based on the SOC time series data such that the larger the amount of SOC fluctuation, the larger the amount of energization deterioration. It is preferable to do so.

The calculation unit 512 calculates the total amount of deterioration based on the sum of the obtained energized deterioration amount and the non-energized deterioration amount. Calculation unit 512 can obtain the power storage capacity of the power storage element at the time of calculation by subtracting the calculated total amount of deterioration from the previous power storage capacity (the power storage capacity at the time immediately before the time of calculation).

When estimating the current state of deterioration, the calculation unit 512 receives the actual measurement data acquired by the acquisition unit 511, and calculates the current storage capacity using the above calculation algorithm using the received actual measurement data. The calculation unit 512 may calculate the current storage capacity by sequentially calculating the storage capacity at each point based on the measurement data at each point in the entire period from the beginning of measurement to the present and the initial capacity at the beginning of measurement. .

Further, when predicting a future state of deterioration, the calculation unit 512 receives the virtual measurement data acquired by the acquisition unit 511, and calculates the future power storage capacity using the above calculation algorithm using the received virtual measurement data. . The calculation unit 512 may calculate the future power storage capacity using the current power storage capacity obtained through the above-described estimation process as a reference value. That is, the calculation unit 512 may calculate the power storage capacity at a future point in time by subtracting the total amount of deterioration calculated by virtual measurement data and a calculation algorithm from the current power storage capacity.

The SOC estimated based on the measurement data differs depending on the state of deterioration of the power storage element. By using the current storage capacity as a reference value when calculating the future storage capacity, it becomes possible to calculate the future storage capacity while maintaining the deterioration state of the storage element represented by the current storage capacity. .

The calculation unit 512 may correct the calculated current storage capacity based on the diagnosis result of the current storage capacity of the storage element. The diagnosis result means, for example, a capacitance value (storage capacity) of a power storage element specified based on measurement data of the power storage element in the most recent short period of time. The method of diagnosing the storage capacity is not particularly limited, but, for example, the storage capacity may be calculated by measuring the internal resistance of the storage element, and the storage capacity can be fully charged and discharged from the lower limit voltage value to the upper limit voltage set for the storage element. The actual capacity may be measured by performing the following. The calculation unit 512 compares the acquired diagnosis result with the calculated current storage capacity, and corrects the calculated current storage capacity to match the diagnosis result. Correction using the diagnosis result may be performed every time the power storage capacity at each time point is calculated. The correction using the diagnosis result may not be performed on the future calculation result of the storage capacity.

The load estimating unit 513 estimates the virtual load of the power storage element based on actual time-series measurement data. The load estimating unit 513 estimates a future electric power value and environmental temperature as a virtual load, for example, based on the history of measurement data from the initial point to the present time. The power value is determined by predicting how the power storage element will be used in the future, based on the way the power storage element has been used up to the present, which is indicated by the history of measurement data. The electric power value and environmental temperature as a virtual load may be the same as the actual electric power value and environmental temperature specified based on the history of measurement data, and at least one of the actual electric power value and environmental temperature may be determined based on a predetermined rule. It may be an increased or decreased value.

The load estimation unit 513 may generate multiple patterns of virtual loads. By generating a plurality of virtual loads in which at least one of the power value and the environmental temperature is different, it is possible to predict a wide range of future deterioration states.

The generation unit 514 generates virtual measurement data based on the virtual load estimated by the load estimation unit 513. The generation unit 514 derives measurement data at a future point in time, that is, current, voltage, and temperature, based on the power value and environmental temperature estimated by the load estimation unit 513. When receiving a plurality of virtual loads from the load estimation section 513, the generation section 514 generates a plurality of measurement data corresponding to each virtual load. The virtual measurement data generated by the generation unit 514 is output to the acquisition unit 511.

The output unit 515 outputs information indicating the current and future power storage capacity calculation results calculated by the calculation unit 512 to the display unit 54. The display unit 54 displays information indicating the calculation result of the storage capacity.

The control unit 51 may further have a configuration that functions as a modification unit 516 as shown in FIG. The modification unit 516 modifies the calculation algorithm based on the current power storage capacity modification information calculated by the calculation unit 512. The modification unit 516 will be described in detail in other embodiments.

FIG. 5 is a flowchart illustrating an example of a deterioration state calculation process procedure. The control unit 51 of the calculation device 50 starts the following process at predetermined or appropriate intervals according to the program 521 stored in the storage unit 52. In parallel with the processing of the program 521, the control unit 51 receives measurement data transmitted from the server device 20, and stores the received measurement data in the measurement DB 522.

The control unit 51 of the calculation device 50 determines whether to perform estimation processing to calculate the current state of deterioration (step S11). The control unit 51 may determine whether to perform the estimation process, for example, by determining whether the current state of deterioration has been stored in the measurement DB 522. The fact that the current state of deterioration has been stored in the measurement DB 522 means that the current state of deterioration has already been estimated for the latest measurement data stored in the measurement DB 522.

If it is determined that the estimation process is to be executed because the current state of deterioration has not been stored (step S11: YES), the control unit 51 obtains actual measurement data by extracting the measurement data to be stored in the measurement DB 522. (Step S12).

If it is determined that the estimation process is not to be performed because the current state of deterioration has been stored (step S11: NO), the control unit 51 determines that the process of predicting the future state of deterioration is to be performed, and the process proceeds to step S13. Proceed. Step S11 corresponds to switching processing between estimation processing and prediction processing.

In step S11, the control unit 51 may determine whether to perform the estimation process or the prediction process by receiving an instruction to execute the estimation process or the prediction process from the user.

When executing the prediction process of the future deterioration state, the control unit 51 estimates the virtual load of the power storage element based on the measurement data stored in the measurement DB 522 for the entire period from the beginning of measurement to the present (step S13). In step S13, the control unit 51 may estimate a plurality of virtual loads.

The control unit 51 generates virtual measurement data based on the estimated virtual load (step S14). When a plurality of virtual loads are estimated, the control unit 51 generates a plurality of virtual measurement data corresponding to each virtual load.

The control unit 51 calculates the SOC and temperature as internal state quantities based on the acquired actual measurement data or virtual measurement data (step S15). The control unit 51 calculates the storage capacity at the calculation target time point based on the calculated internal state amount and the internal state amount at the previous time point (step S16).

When the time point at which the calculation is executed is the current time t, the control unit 51 calculates the internal state quantity corresponding to the actual measurement data at the most recent time point t-1 in the past, and uses the calculated amount from the storage capacity at the most recent time point t-1. By subtracting the amount of deterioration corresponding to the internal state amount, the storage capacity at the current time t is calculated. Further, the control unit 51 calculates an internal state quantity corresponding to the virtual measurement data at the present time t, and subtracts the amount of deterioration corresponding to the calculated internal state quantity from the power storage capacity at the present time t. Calculate the storage capacity at t+1. By repeatedly calculating the power storage capacity at a future point in time, it becomes possible to predict the power storage capacity over an arbitrary prediction period.

The control unit 51 determines whether or not to correct the calculated storage capacity (step S17). For example, if the calculated power storage capacity is the current power storage capacity, and the absolute value of the difference between the calculated power storage capacity and the diagnosis result of the power storage capacity is equal to or greater than a preset threshold, the control unit 51 controls the power storage capacity. It is determined that it is corrected. On the other hand, if the calculated power storage capacity is the current power storage capacity and the absolute value of the difference between the calculated power storage capacity and the diagnostic result of the power storage capacity is less than a preset threshold, the control unit 51 controls the power storage capacity. is determined not to be corrected. Further, if the calculated power storage capacity is not the current power storage capacity, the control unit 51 determines not to correct the power storage capacity. As the power storage capacity diagnosis result, for example, a power storage capacity diagnosis result performed by an external diagnostic device may be obtained.

If it is determined that the power storage capacity is to be corrected (step S17: YES), the control unit 51 corrects the calculated current power storage capacity to match the diagnosis result (step S18). Further, the control unit 51 may correct the internal state quantity and SOH so as to match the corrected storage capacity. For example, without changing the ratio of the non-energized deterioration amount to the energized deterioration amount, the absolute values thereof may be corrected. The control unit 51 may replace the calculated current storage capacity with the capacity value in the diagnosis result. If it is determined that the power storage capacity is not to be corrected (step S17: NO), the control unit 51 skips the correction process. Step S17 and step S18 may be omitted.

The control unit 51 determines whether to end the calculation of the power storage capacity (step S19). For example, if it is determined that the calculation of the power storage capacity is not finished because either the current or future power storage capacity has not been calculated (step S19: NO), the control unit 51 returns the process to step S11. Thereby, after executing the process of estimating the current storage capacity, the control unit 51 switches the process from the estimation process to the prediction process, and executes the process of predicting the future storage capacity.

If it is determined that the calculation of the electricity storage capacity is to be completed because both the current and future electricity storage capacities have been calculated (step S19: YES), the control unit 51 generates screen information indicating the calculation result of the electricity storage capacity. , screen information indicating the generated calculation result of the storage capacity is displayed on the display unit 54 (step S20). The control unit 51 ends the series of processing. On the screen showing the calculation result of the power storage capacity, for example, numerical values and graphs showing the power storage capacity at each point in time up to the present and the power storage capacity at a future point in time are displayed.

According to this embodiment, it is possible to accurately calculate the current and future deterioration states with continuity. By using a common deterioration state calculation algorithm for estimating the current deterioration state and predicting the future deterioration state, the deterioration state can be calculated efficiently and accurately. In addition, the processing content before and after the calculation algorithm is set in accordance with the estimation process or prediction process, such as calculating a wide range of deterioration states when predicting future deterioration states in response to the reliability of the measurement data that is the input element. can do.

(Second embodiment)
In the second embodiment, the deterioration state calculation algorithm is modified.

The calculation device 50 of the second embodiment corrects the calculation algorithm based on correction information of the current state of deterioration by functioning as the correction unit 516 shown in FIG. The correction information may be determined, for example, based on the content of correction of the current state of deterioration. The correction unit 516 specifies a correction pattern by analyzing the correction contents executed at each time point from the beginning of measurement to the present. The modification unit 516 uses the identified correction pattern as modification information and modifies the calculation algorithm according to the identified correction pattern.

FIG. 6 is a flowchart illustrating an example of a processing procedure executed by the calculation device 50 of the second embodiment.

The control unit 51 of the calculation device 50 acquires correction information of the calculation algorithm (step S31). The control unit 51 may acquire correction information generated by an external device through communication, and may obtain correction information by deriving a specific correction pattern based on the correction contents executed at each point from the beginning of measurement to the present. You may obtain it.

The control unit 51 modifies the calculation algorithm according to the acquired modification information (step S32), and ends the series of processing.

According to this embodiment, the calculation algorithm can be optimized through the operation of this system, and the accuracy of estimating the deterioration state is improved.

(Third embodiment)
(10) An estimation device according to an aspect of the present disclosure uses an acquisition unit that acquires measurement data of a power storage element, and a power storage element simulator that estimates the measurement data of the power storage element based on an internal state quantity of the power storage element, and an estimation unit that estimates an internal state quantity of the electricity storage element so that the measurement data output from the electricity storage element simulator approximates the measurement data acquired by the acquisition unit.

Here, the term "power storage element simulator" means a simulator constructed to simulate the behavior of a power storage element. The power storage element simulator can output measurement data of the power storage element based on the internal state quantity of the power storage element.
Further, the internal state quantity may include, for example, the SOC (State of Charge) of the power storage element, internal temperature, positive electrode capacity, negative electrode capacity, deviation in capacity balance, and the like. A shift in capacity balance refers to a difference in capacity between the positive electrode and the negative electrode of a power storage element, in which charged ions can reversibly enter and exit from the electrodes. Please refer to Japanese Patent No. 6428958 for details on the capacity imbalance.

According to the estimation device according to one aspect of the present disclosure, it is possible to efficiently and accurately estimate the internal state quantity of a power storage element from measurement data obtained through actual measurement using a power storage element simulator. Efficient calculation of the internal state quantity leads to a reduction in calculation load in various processes, especially in a large-scale system including a plurality of power storage elements. By acquiring internal state quantities that are difficult to directly measure, it is possible to appropriately grasp the state of the power storage element that cannot be directly expressed from measurement data.

A power storage element simulator is constructed to accurately simulate measurement data according to the internal state quantity of a power storage element, and is usually used to predict the behavior of measurement data of a power storage element. The estimation device utilizes a power storage element simulator that expresses the relationship between the internal state quantity of the power storage element and measured data with high precision, and estimates the internal state quantity in the opposite direction from the measurement data obtained in actual measurements. Internal state quantities can be calculated efficiently. By using a power storage element simulator built in advance, it is not necessary to generate a new estimation model, and the internal state quantity can be estimated easily and accurately.

The estimated internal state quantity can be used for various processes such as state diagnosis including abnormality detection of the power storage element, deterioration state estimation, or life prediction. By using the internal state quantities estimated by the estimation device, the efficiency and accuracy of each process performed thereafter can be improved.

(11) In the estimating device according to (10) above, the estimating unit is configured to calculate the internal state quantity to minimize the difference between the measurement data output from the power storage element simulator and the measurement data acquired by the acquisition unit. You may also search for the optimal value.

Here, "difference" means the absolute value of the difference.
According to the estimating device described in (11) above, an optimal solution for the internal state quantity can be obtained efficiently and accurately using an optimization method.

(12) In the estimating device according to (10) or (11) above, the estimation unit uses the power storage element simulator to estimate measurement data of the power storage element based on the internal state quantity and usage history of the power storage element. The internal state quantity of the power storage element may be estimated so that the measurement data output from the power storage element simulator using the usage history of the power storage element as input approximates the measurement data acquired by the acquisition unit.

Here, the "usage history" of the power storage element means information indicating the usage pattern (how to use) of the power storage element. The usage history includes, for example, information representing changes in power or current (load) of the energy storage element over a predetermined period (hereinafter also referred to as load pattern), and information representing changes in environmental temperature over a predetermined period (hereinafter referred to as environmental temperature). (also referred to as a pattern).

The measurement data depends on the usage history as well as the internal state quantity of the electricity storage element. According to the estimating device described in (12) above, the accuracy of estimating the internal state quantity can be further improved by considering the usage history of the power storage element.

(13) An estimation method according to an aspect of the present disclosure uses a power storage element simulator that acquires measurement data of a power storage element and estimates the measurement data of the power storage element based on an internal state quantity of the power storage element. A computer executes a process of estimating the internal state quantity of the electricity storage element so that the measurement data output from the simulator approximates the acquired measurement data.

(14) A program according to an aspect of the present disclosure uses a power storage element simulator that acquires measurement data of a power storage element and estimates the measurement data of the power storage element based on an internal state quantity of the power storage element. A computer is caused to perform a process of estimating the internal state quantity of the electricity storage element so that the measurement data output from the storage device approximates the measurement data obtained.

This disclosure will be specifically described with reference to drawings showing its embodiments.

FIG. 7 is a diagram showing a configuration example of a remote monitoring system 300 according to the third embodiment. Remote monitoring system 300 enables remote access to information regarding power storage elements included in power generation system 200. Remote monitoring system 300 includes a power generation system 200 to be remotely monitored, and an estimation device 60 that collects information from power generation system 200. The estimation device 60 and the power generation system 200 are communicably connected via a network N1 such as the Internet. The number of power generation systems 200 may be one or three or more. Estimation device 60 may be integrated into any power generation system 200.

FIG. 8 is a block diagram showing a configuration example of the power generation system 200. Illustrations of power generation devices such as solar power generation systems and wind power generation systems are omitted. The power generation system 200 includes a communication device 10, a domain management device 30, and a power storage unit (domain) 40. Server device 20 is connected to communication device 10 via network N2. Power storage unit 40 may include a plurality of banks 41. The power storage unit 40 is, for example, housed in a battery panel and used in a thermal power generation system, a mega solar power generation system, a wind power generation system, an uninterruptible power supply (UPS), a stabilized power supply system for railways, etc. Ru. A configuration including the communication device 10, the domain management device 30, and the power storage unit 40 is called a power storage system. The power storage system may include a power conditioner (not shown). The power storage unit 40 is not limited to industrial use, and may be used for home use.

The business operator designs, installs, operates, and maintains a power storage system including the communication device 10, the domain management device 30, and the power storage unit 40, and can remotely monitor the power storage system using the remote monitoring system 300.

The domain management device 30 sends and receives information to and from each bank 41 using a predetermined communication interface. The storage unit 12 can store measurement data acquired via the domain management device 30.

The server device 20 can collect measurement data of the power storage system from the communication device 10. The measurement data includes measured values such as current, voltage, and temperature of each power storage element in the power storage system. The server device 20 may separate and store the collected measurement data for each power storage element. The server device 20 can transmit measurement data to the estimation device 60 via the networks N2 and N1. Note that the networks N1 and N2 may be one communication network.

The power storage module 42 has a plurality of power storage cells connected in series. In this specification, a "power storage element" may mean a power storage cell, a power storage module 42, a bank 41, or a domain in which banks 41 are connected in parallel. In this embodiment, the measurement board 43 acquires measurement data regarding each power storage cell of the power storage module 42. The measurement data can be repeatedly acquired at appropriate intervals, such as 0.1 seconds, 0.5 seconds, 1 second, etc., for example. The "power storage element" is preferably a rechargeable secondary battery such as a lead-acid battery or a lithium ion battery, or a capacitor. A portion of the power storage element may be a non-rechargeable primary battery.

The battery management device 44 can communicate with the measurement board 43 with a communication function through serial communication, and can acquire measurement data detected by the measurement board 43. The battery management device 44 can send and receive information to and from the domain management device 30. The domain management device 30 aggregates measurement data from the battery management devices 44 of banks belonging to the domain. The domain management device 30 outputs the aggregated measurement data to the communication device 10. In this way, the communication device 10 can acquire and store measurement data of the power storage unit 40 via the domain management device 30.

The communication device 10 transmits the measurement data stored after the previous timing to the server device 20 at a predetermined timing (for example, at a certain period, or when the amount of data satisfies a predetermined condition, etc.). The measurement data may be associated with identification information of the power storage element.

FIG. 9 is a block diagram showing a configuration example of the estimation device 60. The estimation device 60 is, for example, a server computer, a personal computer, a quantum computer, etc., and performs various information processing and transmission and reception of information. The estimation device 60 may be a multi-computer consisting of a plurality of computers, or may be a virtual machine virtually constructed by software. The estimation device 60 includes a control section 61, a storage section 62, a communication section 63, a display section 64, an operation section 65, and the like.

The control unit 61 is an arithmetic circuit including a CPU, a GPU (Graphics Processing Unit), a ROM, a RAM, and the like. The CPU or GPU included in the control unit 61 executes various computer programs stored in the ROM or the storage unit 62, and controls the operations of the hardware units described above. The control unit 61 may have functions such as a timer that measures the elapsed time from when a measurement start instruction is given until a measurement end instruction is given, a counter that counts, a clock that outputs date and time information, and the like.

The storage unit 62 includes a nonvolatile storage device such as a flash memory or a hard disk drive. The storage unit 62 stores various computer programs, data, etc. that are referenced by the control unit 61.

In this embodiment, the storage unit 62 stores a program 621 for causing a computer to execute processing related to estimating the internal state quantity of the power storage element, and a measurement DB (Data Base) 622 as data necessary for executing the program 621. I remember.

The measurement DB 622 is a database that stores measurement data received from the power generation system 200. As described above, the measurement data includes measured values of the current, voltage, and temperature of the power storage element in the power generation system 200. The measurement DB 622 stores, in chronological order, records in which information such as the identification information of the power storage element, the measurement date and time of the measurement value, and the measurement data are linked using an ID for identifying measurement data as a key. The measurement DB 622 may further store, for example, information regarding the arrangement of power storage elements, internal state quantities obtained by estimation processing described later, results of abnormality detection, and the like.

A computer program (program product) including the program 621 may be provided by a non-temporary recording medium 6A on which the computer program is readably recorded. The recording medium 6A is a portable memory such as a CD-ROM, a USB memory, or an SD (Secure Digital) card. The control unit 61 reads a desired computer program from the recording medium 6A using a reading device (not shown), and stores the read computer program in the storage unit 62. Alternatively, the computer program may be provided via communication. Program 621 may be a single computer program or may consist of multiple computer programs, and may be executed on a single computer or multiple computers interconnected by a communications network. good.

The communication unit 63 includes a communication interface that realizes communication via the network N1. The control unit 61 receives measurement data transmitted from the power generation system 200 through the communication unit 63.

The display unit 64 includes a display device such as a liquid crystal display or an organic EL (Electro Luminescence) display. The display section 64 displays various information according to instructions from the control section 61. The operation unit 65 is an interface that accepts user operations. The operation unit 65 includes, for example, a keyboard, a touch panel device with a built-in display, a speaker, a microphone, and the like. The operation unit 65 receives operation input from the user and sends a control signal to the control unit 61 according to the operation content.

The estimating device 60 may be configured to accept operations through an externally connected computer and output information to be notified to the external computer. In this case, the estimation device 60 does not need to include the display section 64 and the operation section 65.

FIG. 10 is a functional block diagram showing a configuration example of the estimation device 60. The control unit 61 of the estimation device 60 realizes each function of the power storage element simulator 611, the acquisition unit 612, the estimation unit 613, and the output unit 614 by reading out and executing the program 621 stored in the storage unit 62. Alternatively, some of these functions may be realized by a dedicated hardware circuit (for example, FPGA or ASIC) provided in the control unit 61.

The power storage element simulator 611 has a function as a measurement data estimator. The power storage element simulator 611 of this embodiment estimates measurement data of the power storage element by inputting the internal state quantity and usage history of the power storage element. Alternatively, the power storage element simulator 611 may estimate the measurement data of the power storage element using at least the internal state quantity of the power storage element as input. The power storage element simulator 611 may estimate deterioration of the power storage element using estimated measurement data of the power storage element.

The internal state quantities that are input data to the power storage element simulator 611 include, for example, the SOC, SOH, surface and internal temperature, internal resistance, etc. of the power storage element. The usage history includes information representing the power or current (load) of the power storage element over a predetermined period and the environmental temperature. The usage history may be classified into a plurality of preset patterns. The measurement data that is the output data from the power storage element simulator 611 is data that includes at least one of the voltage, current, and temperature of the power storage element.

The power storage element simulator 611 may be composed of current-voltage simulation and temperature simulation elements, and includes (initial) SOC and (initial) SOH (more specifically, reversible discharge capacity or internal representative resistance value). , and combinations thereof), the load pattern as the usage history, and the temperature environment of the power storage element may be input, and the current, voltage, and temperature of the power storage element can be output. The temperature simulation may not be performed, and instead, the temperature of the power storage element may be input to the power storage element simulator 611.

The acquisition unit 612 acquires measurement data of the power storage element by receiving measurement data transmitted from the server device 20 at an appropriate timing. The acquisition unit 612 acquires the measured values of the voltage, current, and temperature of the power storage element. The measurement data of voltage, current, and temperature includes data when the power storage element is charged or discharged. The measurement data may be real-time data or historical data for a predetermined period in the past. When acquiring measurement data, the acquisition unit 612 stores the acquired measurement data in the measurement DB 622 in chronological order. Alternatively, the acquisition unit 612 may acquire the measurement data by reading data of the target power storage element from data stored in the measurement DB 622 in advance.

The acquisition unit 612 acquires (identifies) the usage history of the power storage element based on the acquired measurement data. The acquisition unit 612 may identify the load pattern of the power storage element and the environmental temperature pattern, for example, based on changes in the voltage, current, and temperature of the power storage element over a predetermined period. The environmental temperature pattern of the power storage element may be determined by considering the arrangement of the power storage element. Alternatively, the acquisition unit 612 stores a plurality of preset usage histories in the storage unit 62, and reads out one of the usage histories of the plurality of usage histories, thereby obtaining the usage history of the power storage element. may be obtained. That is, the acquisition unit 612 may acquire not only the actual usage history but also a hypothetical usage history that can be assumed within the power generation system 200.

The estimation unit 613 estimates the internal state quantity of the power storage element based on the measurement data and usage history acquired by the acquisition unit 612 and the power storage element simulator 611.

FIG. 11 is a diagram illustrating a method for estimating internal state quantities. First, the acquisition unit 612 acquires actual measured values of measurement data O _t including voltage, current, and temperature at time t. Furthermore, the usage history U _t at time t is acquired based on the time-series measurement data acquired up to time t. The usage history U _t includes, for example, a load pattern and an environmental temperature pattern. Alternatively, the usage history U _t may be only the load pattern.

The estimation unit 613 sets the internal state quantity S _t at time t, and obtains the estimated value of the measurement data O _t output from the power storage element simulator 611 based on the set internal state quantity S _t and the usage history U _t . . The estimation unit 613 compares the estimated value of the measured data O _t with the actual measured value of the measured data O _t and sets the internal state quantity S so that the estimated value of the measured data O _t approximates the actual measured value of the measured data O _t . Estimate _t . Although the method for estimating the internal state quantity S _t is not limited, for example, a known optimization method such as a genetic algorithm, a Nelder-mead method, or a gradient method may be used. The estimation unit 613 searches for the optimal value of the internal state quantity S _t so as to minimize the difference (absolute value of the difference) between the estimated value of the measurement data O _t and the actual measurement value of the measurement data O _t .

In this embodiment, as shown in FIG. 11, SOH and SOC of the internal state quantities S _t are used as design variables, and the voltage of the measurement data O _t is used as the objective variable, so that the estimated voltage value approximates the actual measured value. Optimize SOH and SOC to For the current and temperature indicated by broken lines in FIG. 11, common values are used in the actual measurement stage and the estimation stage. The SOC may be an initial SOC.

The estimation unit 613 ends the search when, for example, the fitness, the number of search trials (number of generations), etc. satisfy predetermined conditions. The estimation unit 613 can set the obtained optimal solution (approximate solution) of SOH and SOC as the internal state quantity S _t .

The usage history U _t that is input to the power storage element simulator 611 may be a temporary usage history as described above. For example, by using a plurality of preset usage histories U _t , the optimum value of the internal state quantity S _t when each usage history U _t is used as an input element is estimated. Thereby, it is possible to estimate internal state quantities of multiple patterns in consideration of various usage histories.

In the above, an example has been described in which the SOH and SOC are optimized so that the estimated voltage value approximates the actual measured value. Alternatively, the internal state quantity may be other than SOH and SOC, and the number of types of internal state quantity may be one or more. Similarly, the measurement data may be other than voltage, and the types of measurement data may be two or more.

Returning to FIG. 10, the explanation will continue. The output unit 614 receives the estimation result of the internal state quantity output from the estimation unit 613 and outputs information indicating the received estimation result of the internal state quantity to the display unit 64. The display unit 64 displays information indicating the estimation result of the internal state quantity. Alternatively, the output unit 614 may output information indicating the estimation result of the internal state quantity to an analysis unit, another analysis device, an external computer, etc., which will be described later.

The control unit 61 may further realize a function as an analysis unit (not shown). The analysis unit detects an abnormality in the power storage element based on the internal state amount estimated by the estimation unit 613, for example. Anomaly detection is an example of analysis processing using estimated internal state quantities.

FIG. 12 is a flowchart illustrating an example of an internal state quantity estimation process procedure. The control unit 61 of the estimation device 60 starts the following process at predetermined or appropriate intervals according to the program 621 stored in the storage unit 62.

The control unit 61 of the estimation device 60 acquires actual measured values of measurement data including the voltage, current, and temperature of the power storage element (step S111). The control unit 61 acquires the usage history of the power storage element based on the acquired measurement data (step S112). The control unit 61 may acquire a temporary usage history.

The control unit 61 estimates (sets) the internal state quantity (step S113). The control unit 61 may randomly set an initial value for estimating the internal state amount, for example, between an upper limit value and a lower limit value of the internal state amount set in the power storage element. The control unit 61 may also set the previous estimation result or the estimation result of another power storage element as the initial value.

The control unit 61 receives the estimated internal state quantity and the acquired usage history as input, and acquires an estimated value of the measurement data output from the power storage element simulator 611 (step S114).

The control unit 61 determines whether the difference between the estimated value of the acquired measurement data and the actual value of the measurement data is within an allowable range (step S115).

If it is determined that the difference is not within the allowable range (step S115: NO), the control unit 61 returns the process to step S113 and repeats estimation of the internal state quantity so as to minimize the difference. The internal state quantity is optimized through steps S113 to S115.

If it is determined that the difference is within the allowable range (step S115: YES), the control unit 61 outputs the estimation result of the internal state quantity, for example, through the display unit 64 (step S116), and ends the example process. Alternatively, the control unit 61 may output the estimation result of the internal state quantity to, for example, an analysis unit or an external device.

According to the above-mentioned process, the actual value of the measurement data can be matched by estimating the internal state quantity in the opposite direction using a storage element simulator and optimizing the internal state quantity to approximate the estimated value of the measurement data to the actual measurement value. The internal state quantity can be estimated efficiently.

In the embodiment described above, an example has been described in which the estimation device 60 executes each process in the above flowchart. Alternatively, part or all of the above processing may be executed by another processing entity, such as the domain management device 30 or the server device 20.

(Fourth embodiment)
(15) An abnormality detection device according to one aspect of the present disclosure includes an acquisition unit that acquires measurement data of a reference power storage element and a target power storage element, and from each measurement data acquired by the acquisition unit and an internal state quantity of the power storage element. of the reference energy storage element and the target energy storage element so that the measurement data output from the energy storage element simulator approximates the measurement data acquired by the acquisition unit based on the energy storage element simulator that estimates the measurement data of the energy storage element. an estimation unit that estimates an internal state quantity; and a detection that detects an abnormality in the target power storage element based on a comparison between the internal state quantity of the reference power storage element estimated by the estimation unit and the internal state quantity of the target power storage element. It is equipped with a section.

Here, the "reference electricity storage element" means an electricity storage element that serves as a comparison standard when detecting an abnormality. "Target power storage element" means a power storage element that is a target of abnormality detection. The reference power storage element and the target power storage element may be provided within the same power generation system, for example.
“Electricity storage element simulator” means a simulator constructed to simulate the behavior of an electricity storage element. The power storage element simulator can output measurement data of the power storage element based on the internal state quantity of the power storage element.
Further, the internal state quantity may include, for example, the SOC (State of Charge) of the power storage element, internal temperature, positive electrode capacity, negative electrode capacity, deviation in capacity balance, and the like. A shift in capacity balance refers to a difference in capacity between the positive electrode and the negative electrode of a power storage element, in which charged ions can reversibly enter and exit from the electrodes. Please refer to Japanese Patent No. 6428958 for details on the capacity imbalance.

As mentioned above, the measurement data of the power storage element depends on the internal state quantity of the power storage element. The difference value of measurement data between power storage elements changes depending on the internal state quantity. Therefore, when abnormality detection is performed by comparing the difference value of measurement data between the power storage elements and a certain threshold value, there is a possibility that false detections will increase. Although false detections can be prevented or the detection rate can be improved by adjusting the threshold value, setting the threshold value becomes complicated, leading to a decrease in the explainability of abnormality detection.

According to the abnormality detection device according to one aspect of the present disclosure, it is possible to detect an abnormality in a power storage element by taking into consideration the internal state quantity of the power storage element. By taking internal state quantities into account, the accuracy of abnormality detection can be improved compared to the case where abnormalities are detected simply based on measurement data. By directly comparing the internal state quantities of the reference power storage element and the target power storage element, which are factors for false detection, to detect an abnormality, it is possible to reduce false detections and to detect an abnormality with high explainability.

By using the power storage element simulator, the estimation unit can efficiently estimate the internal state quantities of the reference power storage element and the target power storage element. A power storage element simulator is constructed to accurately simulate measurement data based on internal state quantities of a power storage element, and is usually used to predict behavior of measurement data of a power storage element. The abnormality detection device uses a power storage element simulator that expresses the relationship between the internal state quantity of the power storage element and measured data with high precision, and estimates the internal state quantity in the opposite direction from the measurement data obtained in actual measurements. , internal state quantities can be calculated efficiently. By using a power storage element simulator built in advance, the internal state quantity can be estimated easily and accurately. In a large-scale system including a plurality of power storage elements, by efficiently calculating internal state quantities, the computational load of abnormality detection processing can be reduced.

(16) In the abnormality detection device according to (15) above, the estimating section minimizes the absolute value of the difference between the measurement data output from the power storage element simulator and the measurement data acquired by the acquisition section. The optimum value of the internal state quantity may be searched.

Here, "difference" means the absolute value of the difference.
According to the abnormality detection device described in (16) above, an optimal solution for the internal state quantity can be obtained efficiently and accurately using an optimization method.

(17) In the abnormality detection device according to (15) or (16) above, the estimation unit uses the power storage element simulator that estimates measurement data of the power storage element based on the internal state quantity and usage history of the power storage element. The internal state quantities of the reference power storage element and the target power storage element may be estimated so that the measurement data output from the power storage element simulator using the usage history as input approximates the measurement data acquired by the acquisition unit. good.

The measurement data depends on the usage history as well as the internal state quantity of the electricity storage element. According to the abnormality detection device described in (17) above, the internal state quantity can be estimated with higher accuracy by considering the usage history of the power storage element. Furthermore, by changing the usage history, it is possible to estimate various internal state quantities.

(18) In the abnormality detection device according to any one of (15) to (17) above, the internal state amount may include a health state or a charging state of the power storage element.

Here, the "state of health" may be SOH, and the "state of charge" may be SOC. According to the abnormality detection device described in (18) above, the accuracy of abnormality detection can be improved by using the health condition or the state of charge that greatly affects measurement data as an indicator for abnormality detection.

(19) An abnormality detection method according to an aspect of the present disclosure acquires measured data of a reference power storage element and a target power storage element, and calculates the measured data of the power storage element from each acquired measurement data and an internal state quantity of the power storage element. Based on the estimated energy storage element simulator, the internal state quantities of the reference energy storage element and the target energy storage element are estimated so that the measurement data output from the energy storage element simulator approximates the acquired measurement data, and the estimated reference A computer executes a process of detecting an abnormality in the target power storage element based on a comparison between an internal state quantity of the power storage element and an internal state quantity of the target power storage element.

(20) A program according to one aspect of the present disclosure acquires measurement data of a reference power storage element and a target power storage element, and estimates measurement data of the power storage element from each acquired measurement data and an internal state quantity of the power storage element. Based on the power storage element simulator, the internal state quantities of the reference power storage element and the target power storage element are estimated so that the measurement data output from the power storage element simulator approximates the acquired measurement data, and the estimated reference power storage element A computer is caused to execute a process of detecting an abnormality in the target power storage element based on a comparison between the internal state quantity of the target power storage element and the internal state quantity of the target power storage element.

The present disclosure will be specifically described with reference to drawings showing embodiments thereof.

FIG. 13 is a diagram showing a configuration example of a remote monitoring system 400 according to the fourth embodiment. Remote monitoring system 400 allows remote access to information regarding power storage elements included in power generation system 200. The remote monitoring system 400 includes a power generation system 200 to be remotely monitored, and an abnormality detection device 70 that collects information from the power generation system 200. The abnormality detection device 70 and the power generation system 200 are communicably connected via a network N1 such as the Internet. The number of power generation systems 200 may be one or three or more. The abnormality detection device 70 may be integrated into any of the power generation systems 200.

FIG. 14 is a block diagram showing a configuration example of the power generation system 200. Illustrations of power generation devices such as solar power generation systems and wind power generation systems are omitted. The power generation system 200 includes a communication device 10, a domain management device 30, and a power storage unit (domain) 40. Server device 20 is connected to communication device 10 via network N2. Power storage unit 40 may include a plurality of banks 41. The power storage unit 40 is, for example, housed in a battery panel and used in a thermal power generation system, a mega solar power generation system, a wind power generation system, an uninterruptible power supply (UPS), a stabilized power supply system for railways, etc. Ru. A configuration including the communication device 10, the domain management device 30, and the power storage unit 40 is called a power storage system. The power storage system may include a power conditioner (not shown). The power storage unit 40 is not limited to industrial use, and may be used for home use.

The business operator designs, installs, operates, and maintains a power storage system including the communication device 10, the domain management device 30, and the power storage unit 40, and can remotely monitor the power storage system using the remote monitoring system 400.

The server device 20 can collect measurement data of the power storage system from the communication device 10. The measurement data includes measured values such as current, voltage, and temperature of each power storage element in the power storage system. The server device 20 may separate and store the collected measurement data for each power storage element. The server device 20 can transmit measurement data to the abnormality detection device 70 via the networks N2 and N1. Note that the networks N1 and N2 may be one communication network.

The abnormality detection device 70 of this embodiment performs abnormality detection on the target storage element that is the subject of abnormality detection, using measurement data of a reference storage element that serves as the standard for abnormality detection, among the multiple storage elements provided in the power generation system 200. The reference storage element and the target storage element may be selected in advance according to a predetermined rule, for example, or may be selected manually. The reference storage element and the target storage element can be determined taking into consideration the total number and arrangement of storage elements in the power generation system 200. There may be multiple reference storage elements and target storage elements, and they can be changed for each abnormality detection process.

FIG. 15 is a block diagram showing a configuration example of the abnormality detection device 70. The abnormality detection device 70 is, for example, a server computer, a personal computer, a quantum computer, etc., and performs various information processing and transmission and reception of information. The abnormality detection device 70 may be a multicomputer consisting of a plurality of computers, or may be a virtual machine virtually constructed by software. The abnormality detection device 70 includes a control section 71, a storage section 72, a communication section 73, a display section 74, an operation section 75, and the like.

The control unit 71 is an arithmetic circuit including a CPU, a GPU (Graphics Processing Unit), a ROM, a RAM, and the like. The CPU or GPU included in the control unit 71 executes various computer programs stored in the ROM or the storage unit 72, and controls the operations of the hardware units described above. The control unit 71 may have functions such as a timer that measures the elapsed time from when a measurement start instruction is given to when a measurement end instruction is given, a counter that counts, a clock that outputs date and time information, and the like.

The storage unit 72 includes a nonvolatile storage device such as a flash memory or a hard disk drive. The storage unit 72 stores various computer programs, data, etc. that are referenced by the control unit 71.

In the present embodiment, the storage unit 72 stores a program 721 for causing a computer to execute processing related to estimating the internal state quantity of the power storage element, and a measurement DB (Data Base) 722 as data necessary for executing the program 721. I remember.

The measurement DB 722 is a database that stores measurement data received from the power generation system 200. As described above, the measurement data includes measured values of the current, voltage, and temperature of the power storage element in the power generation system 200. The measurement DB 722 stores, in chronological order, records in which information such as the identification information of the power storage element, the measurement date and time of the measurement value, and the measurement data are linked using, for example, an ID for identifying measurement data as a key. The measurement DB 722 may further store, for example, information regarding the arrangement of power storage elements, internal state quantities obtained by estimation processing described later, results of abnormality detection, and the like.

The storage unit 72 also stores identification information of the reference power storage element and the target power storage element, a threshold value for detecting an abnormality, which will be described later, and the like.

A computer program (program product) including the program 721 may be provided by a non-temporary recording medium 7A on which the computer program is readably recorded. The recording medium 7A is a portable memory such as a CD-ROM, a USB memory, or an SD (Secure Digital) card. The control unit 71 reads a desired computer program from the recording medium 7A using a reading device (not shown), and stores the read computer program in the storage unit 72. Alternatively, the computer program may be provided via communication. Program 721 may be a single computer program or may consist of multiple computer programs, and may be executed on a single computer or multiple computers interconnected by a communications network. good.

The communication unit 73 includes a communication interface that realizes communication via the network N1. The control unit 71 receives measurement data transmitted from the power generation system 200 through the communication unit 73.

The display unit 74 includes a display device such as a liquid crystal display or an organic EL (Electro Luminescence) display. The display section 74 displays various information according to instructions from the control section 71. The operation unit 75 is an interface that accepts user operations. The operation unit 75 includes, for example, a keyboard, a touch panel device with a built-in display, a speaker, a microphone, and the like. The operation unit 75 receives operation input from the user and sends a control signal to the control unit 71 according to the operation content.

The abnormality detection device 70 may be configured to accept operations through an externally connected computer and output information to be notified to the external computer. In this case, the abnormality detection device 70 does not need to include the display section 74 and the operation section 75.

FIG. 16 is a functional block diagram showing a configuration example of the abnormality detection device 70. The control unit 71 of the abnormality detection device 70 reads and executes a program 721 stored in the storage unit 72 to control each of the power storage element simulator 711, the acquisition unit 712, the estimation unit 713, the detection unit 714, and the output unit 715. Achieve functionality. Alternatively, some of these functions may be realized by a dedicated hardware circuit (for example, FPGA or ASIC) provided in the control unit 71.

The power storage element simulator 711 has a function as a measurement data estimator. The power storage element simulator 711 of this embodiment estimates measurement data of the power storage element by inputting the internal state quantity and usage history of the power storage element. Alternatively, the power storage element simulator 711 may estimate the measurement data of the power storage element by using at least the internal state quantity of the power storage element as input. The power storage element simulator 711 may estimate deterioration of the power storage element using estimated measurement data of the power storage element.

The internal state quantities that are input data to the power storage element simulator 711 include, for example, the SOC, SOH, surface and internal temperature, internal resistance, etc. of the power storage element. The usage history includes information representing the power or current (load) of the power storage element over a predetermined period and the environmental temperature. The usage history may be classified into a plurality of preset patterns. The measurement data that is output data from the power storage element simulator 711 is data that includes at least one of the voltage, current, and temperature of the power storage element.

The power storage element simulator 711 may be composed of current-voltage simulation and temperature simulation elements, and includes (initial) SOC and (initial) SOH (more specifically, reversible discharge capacity or internal representative resistance value). , and combinations thereof), the load pattern as the usage history, and the temperature environment of the power storage element may be input, and the current, voltage, and temperature of the power storage element can be output. The temperature simulation may not be performed, and instead, the temperature of the power storage element may be input to the power storage element simulator 711.

The acquisition unit 712 acquires measurement data of a plurality of power storage elements including the target power storage element and the reference power storage element by receiving the measurement data transmitted from the server device 20 at an appropriate timing. The acquisition unit 712 acquires observed values of voltage, current, and temperature of the power storage element. The measurement data of voltage, current, and temperature includes data when the power storage element is charged or discharged. The measurement data may be real-time data or historical data for a predetermined period in the past. When acquiring measurement data, the acquisition unit 712 stores the acquired measurement data in the measurement DB 722 in chronological order. Alternatively, the acquisition unit 712 may acquire the measurement data by reading data of the target power storage element from data stored in the measurement DB 722 in advance.

The acquisition unit 712 acquires (identifies) the usage history of the power storage element based on the acquired measurement data. The acquisition unit 712 may identify the load pattern of the power storage element and the environmental temperature pattern, for example, based on changes in the voltage, current, and temperature of the power storage element over a predetermined period. The environmental temperature pattern of the power storage element may be determined by considering the arrangement of the power storage element. Alternatively, the acquisition unit 712 stores a plurality of preset usage histories in the storage unit 72, and reads out one of the usage histories of the plurality of usage histories, thereby obtaining the usage history of the power storage element. may be obtained. That is, the acquisition unit 712 may acquire not only the actual usage history but also a hypothetical usage history that can be assumed within the power generation system 200.

The estimation unit 713 estimates the internal state quantity of the power storage element based on the measurement data and usage history acquired by the acquisition unit 712 and the power storage element simulator 711. Estimating unit 713 estimates the internal state quantity of the reference power storage element and the target power storage element based on the measurement data and usage history regarding each of the reference power storage element and the target power storage element specified in advance.

FIG. 17 is a diagram illustrating a method for estimating internal state quantities. First, the acquisition unit 712 acquires actual measured values of measurement data O _t including voltage, current, and temperature at time t. Furthermore, the usage history U _t at time t is acquired based on the time-series measurement data acquired up to time t. The usage history U _t includes, for example, a load pattern and an environmental temperature pattern. Alternatively, the usage history U _t may be only the load pattern.

The estimation unit 713 sets the internal state quantity S _t at time t, and obtains the estimated value of the measurement data O _t output from the power storage element simulator 711 based on the set internal state quantity S _t and the usage history U _t . . The estimation unit 713 compares the estimated value of the measurement data O _t with the actual measurement value of the measurement data O _t and sets the internal state quantity S so that the estimated value of the measurement data O _t approximates the actual measurement value of the measurement data O _t . Estimate _t . Although the method for estimating the internal state quantity S _t is not limited, for example, a known optimization method such as a genetic algorithm, a Nelder-mead method, or a gradient method may be used. The estimation unit 713 searches for the optimal value of the internal state quantity S _t so as to minimize the difference (absolute value of the difference) between the estimated value of the measurement data O _t and the actual measurement value of the measurement data O _t .

In this embodiment, as shown in FIG. 17, SOH and SOC of the internal state quantity S _t are used as design variables, and the voltage of the measurement data O _t is used as the objective variable, so that the estimated value of the voltage approximates the actual measured value. Optimize SOH and SOC to For the current and temperature indicated by broken lines in FIG. 17, common values are used in the actual measurement stage and the estimation stage. The SOC may be an initial SOC.

The estimation unit 713 ends the search when, for example, the fitness, the number of search trials (number of generations), etc. satisfy predetermined conditions. The estimation unit 713 can use the obtained optimal solution (approximate solution) of SOH and SOC as the internal state amount S _t .

The usage history U _t that is input to the power storage element simulator 711 may be a temporary usage history as described above. For example, using a plurality of preset usage histories U _t , the optimum value of the internal state quantity S _t is estimated when each usage history U _t is used as an input element. Thereby, it is possible to estimate internal state quantities of multiple patterns in consideration of various usage histories.

Returning to FIG. 16, the explanation will continue. The detection unit 714 receives the estimation results of the internal state quantities of the target power storage element and the reference power storage element output from the estimation unit 713. The detection unit 714 detects an abnormality in the target power storage element by comparing the internal state quantities of the target power storage element and the reference power storage element estimated by the estimation unit 713.

The detection unit 714 calculates the difference (absolute value of the difference) ΔS between the internal state quantity of the target power storage element estimated by the estimation unit 713 and the internal state quantity of the reference power storage element. The detection unit 714 performs abnormality detection by determining whether the calculated difference ΔS of the internal state quantities is less than a preset threshold. The detection unit 714 determines that the target power storage element is normal when the internal state quantity difference ΔS is less than the threshold value, and determines the target power storage element to be abnormal when the internal state quantity difference ΔS is greater than or equal to the threshold value.

The output unit 715 receives the abnormality detection result from the detection unit 714 and outputs information indicating the received detection result to the display unit 74. The display unit 74 displays information indicating the detection results. Alternatively, the output unit 715 may output information indicating the detection result to an external computer.

FIG. 18 is a flowchart illustrating an example of an abnormality detection processing procedure. The control unit 71 of the abnormality detection device 70 starts the following process at predetermined or appropriate intervals according to the program 721 stored in the storage unit 72.

The control unit 71 of the abnormality detection device 70 acquires actual measured values of measurement data including the voltage, current, and temperature of the reference power storage element and the target power storage element (step S211). The number of reference power storage elements and target power storage elements may be plural.

The control unit 71 acquires the usage history of the reference power storage element and the target power storage element based on the acquired measurement data of the reference power storage element and the target power storage element (step S212). The control unit 71 may acquire a temporary usage history.

The control unit 71 estimates the internal state quantities of the reference power storage element and the target power storage element (step S213). FIG. 19 is a flowchart illustrating an example of a detailed procedure for estimating the internal state quantity. The processing procedure shown in the flowchart of FIG. 19 corresponds to the details of step S213 in the flowchart of FIG.

The control unit 71 estimates (sets) the internal state quantity of the power storage element (step S221). The control unit 71 may randomly set an initial value for estimating the internal state amount, for example, between an upper limit value and a lower limit value of the internal state amount set in the power storage element. The control unit 71 may also set the previous estimation result or the estimation result of other power storage elements as the initial value.

The control unit 71 receives the estimated internal state quantity and the acquired usage history as input, and acquires an estimated value of the measurement data output from the power storage element simulator 711 (step S222).

The control unit 71 determines whether the difference between the estimated value of the acquired measurement data and the actual value of the measurement data is within an allowable range (step S223).

If it is determined that the difference is not within the allowable range (step S223: NO), the control unit 71 returns the process to step S221 and repeats estimation of the internal state quantity so as to minimize the difference. The internal state quantity is optimized through steps S221 to S223.

If it is determined that the difference is within the allowable range (step S223: YES), the control unit 71 sets the obtained internal state amount to the optimum value and returns the process to step S214 in the flowchart of FIG. The control unit 71 executes the estimation of the internal state quantities described above for all the designated reference power storage elements and target power storage elements.

In the above process, for example, when the control unit 71 acquires the temporary usage history of the reference power storage element, the control unit 71 estimates the internal state quantity of the reference power storage element using the acquired temporary usage history. The control unit 71 may estimate the internal state quantities of the plurality of reference power storage elements for each usage history set in advance. The control unit 71 may use the usage history specified based on the measurement data of the target power storage element as the temporary usage history of the reference power storage element. When a plurality of reference power storage elements exist, the internal state quantity may be estimated for each reference power storage element for each usage history.

Returning to FIG. 18, the explanation will be continued. The control unit 71 calculates a difference ΔS between the estimated internal state quantity of the reference power storage element and the internal state quantity of the target power storage element, and determines whether the calculated difference ΔS is less than a preset threshold value. (Step S214). In step S214, the control unit 71 may determine whether it is less than a threshold value based on the standard deviation of the internal state quantities of the plurality of reference power storage elements. The control unit 71 may also perform abnormality determination based on the estimated distribution shape of the internal state quantities.

If it is determined that the calculated difference ΔS is less than the preset threshold (step S214: YES), the control unit 71 determines that the target power storage element is normal (step S215). If it is determined that the calculated difference ΔS is greater than or equal to the preset threshold (step S214: NO), the control unit 71 determines that the target power storage element is abnormal (step S216). Steps S214 to S216 correspond to abnormality detection processing. The control unit 71 calculates the difference ΔS for each combination of the internal state quantities of the target power storage element and the estimated reference power storage element, and executes threshold determination.

The control unit 71 outputs the abnormality detection result, for example, through the display unit 74 (step S217), and ends the example process. Alternatively, the control unit 71 may output the abnormality detection result to an external computer.

According to the present embodiment, an abnormality in the power storage element can be detected with high accuracy by considering the internal state quantity. The internal state quantity used for abnormality detection can be estimated efficiently by estimating the internal state quantity in the opposite direction using a power storage element simulator and optimizing the internal state quantity by approximating the estimated value of the measurement data to the actual measured value.

In the embodiment described above, an example has been described in which the abnormality detection device 70 executes each process in the above flowchart. Alternatively, part or all of the above processing may be executed by another processing entity, such as the domain management device 30 or the server device 20.

(Fifth embodiment)
(21) An abnormality detection device according to an aspect of the present disclosure includes an acquisition unit that acquires measurement data of a reference power storage element and a target power storage element, and a measurement data of the reference power storage element acquired by the acquisition unit. Detection criteria are determined based on measurement data estimated by a power storage element simulator based on an internal state quantity obtained by adding an allowable difference to the internal state quantity of the reference power storage element, and measurement data of the reference power storage element acquired by the acquisition unit. The power storage device includes a setting unit for setting, a detection unit for detecting an abnormality in the target power storage element based on the detection criteria set by the setting unit, and measurement data of the target power storage element acquired by the acquisition unit.

As mentioned above, the measurement data of the power storage element depends on the internal state quantity of the power storage element. The difference value of measurement data between power storage elements changes depending on the internal state quantity. Therefore, when abnormality detection is performed by comparing the difference value of measurement data between the power storage elements and a certain threshold value, there is a possibility that false detections will increase. Although false detections can be prevented or the detection rate can be improved by adjusting the threshold value, setting the threshold value becomes complicated, leading to a decrease in the accuracy of abnormality detection.

According to the anomaly detection device according to one aspect of the present disclosure, the detection standard is dynamically determined each time an anomaly is detected or at an appropriate detection timing based on measurement data estimated from the internal state quantity of the reference energy storage element with allowances taken into account. It becomes possible to set abnormality of the power storage element using the set detection standard. By dynamically setting the detection criteria, the accuracy of abnormality detection can be improved compared to the case where abnormality detection is performed using a fixed threshold value. By taking into account the internal state quantity that is a factor of false detection, it is possible to reduce false detections and detect abnormalities with high accuracy compared to the case where abnormalities are detected simply based on measurement data. Since internal state quantities can be reflected in the detection criteria, more appropriate detection criteria can be generated.

Furthermore, by setting the detection standard using measurement data based on the internal state quantity in consideration of the allowable difference, the detection standard regarding the internal state quantity can be converted into the detection standard regarding the measurement data. At the time of abnormality detection, internal state quantities are not required and abnormality detection can be performed based on easily obtainable measurement data, so the calculation load of the detection process is reduced and it can be performed at high speed.

(22) In the abnormality detection device according to (21) above, using the power storage element simulator that estimates measurement data of the power storage element based on the internal state quantity of the power storage element, measurement data output from the power storage element simulator The power storage device may include an estimation unit that estimates the internal state quantity of the reference electricity storage element so that the measurement data of the reference electricity storage element obtained by the acquisition unit approximates the measurement data of the reference electricity storage element.

According to the abnormality detection device described in (22) above, by using the power storage element simulator, the internal state quantity of the reference power storage element can be efficiently estimated. A power storage element simulator is constructed to accurately simulate measurement data based on internal state quantities of a power storage element, and is usually used to predict behavior of measurement data of a power storage element. The abnormality detection device uses a power storage element simulator that expresses the relationship between the internal state quantity of the power storage element and measured data with high precision, and estimates the internal state quantity in the opposite direction from the measurement data obtained in actual measurements. , internal state quantities can be calculated efficiently. By using a power storage element simulator built in advance, the internal state quantity can be estimated easily and accurately. In a large-scale system including a plurality of power storage elements, by efficiently calculating internal state quantities, the computational load of abnormality detection processing can be reduced.

(23) In the abnormality detection device according to (22) above, the estimating unit is configured to minimize the difference between the measurement data output from the power storage element simulator and the measurement data acquired by the acquisition unit. You may also search for the optimal value of .

Here, "difference" means the absolute value of the difference.
According to the abnormality detection device described in (23) above, an optimal solution for the internal state quantity can be obtained efficiently and accurately using an optimization method.

(24) In the abnormality detection device according to any one of (21) to (23) above, the setting unit is configured to set an internal state quantity of the reference energy storage element estimated for each usage history of the reference energy storage element. A plurality of the detection criteria may be set based on the above.

The measurement data depends on the usage history as well as the internal state quantity of the electricity storage element. According to the abnormality detection device described in (24) above, the detection criteria can be set in consideration of the internal state quantities and usage history of various power storage elements, so that Anomaly detection becomes possible.

(25) In the abnormality detection device according to any one of (21) to (24) above, the detection unit may detect an abnormality based on the voltage of the target power storage element.

According to the abnormality detection device described in (25) above, the accuracy of abnormality detection can be further improved by using voltage, which is a measurement value that easily changes depending on the state of the power storage element, as a base among measurement data. .

(26) In the abnormality detection device according to any one of (21) to (25) above, the internal state quantity may include a degree of deterioration or a state of charge of the electricity storage element.

Here, the "state of health" may be SOH, and the "state of charge" may be SOC. According to the abnormality detection device described in (26) above, the accuracy of abnormality detection can be improved by taking into account the health condition or the state of charge that greatly affects the measurement data.

(27) In an anomaly detection method according to one aspect of the present disclosure, a computer acquires measurement data of a reference energy storage element and a target energy storage element, sets a detection criterion based on the measurement data estimated by a storage element simulator and the acquired measurement data of the reference energy storage element based on an internal state quantity obtained by adding an allowable difference to the internal state quantity of the reference energy storage element estimated from the acquired measurement data of the reference energy storage element, and detects an anomaly in the target energy storage element based on the set detection criterion and the acquired measurement data of the target energy storage element.

(28) A program according to an aspect of the present disclosure acquires measurement data of a reference energy storage element and a target energy storage element, and allows an internal state quantity of the reference energy storage element estimated from the acquired measurement data of the reference energy storage element. Based on the internal state quantity including the difference, a detection standard is set based on the measurement data estimated by the power storage element simulator and the acquired measurement data of the reference power storage element, and the set detection standard and the acquired target are determined. The computer is caused to execute a process of detecting an abnormality in the target power storage element based on the measurement data of the power storage element.

(29) An abnormality detection device according to an aspect of the present disclosure includes an acquisition unit that acquires measurement data of a reference energy storage element and a target energy storage element, and a Detection criteria are determined based on measurement data estimated by a power storage element simulator based on an internal state quantity obtained by adding an allowable difference to the internal state quantity of the reference power storage element, and measurement data of the reference power storage element acquired by the acquisition unit. and a setting section for setting.

According to the abnormality detection device described in (29) above, the detection standard is dynamically set every time an abnormality is detected or at an appropriate detection timing, based on the measurement data estimated from the internal state quantity of the reference energy storage element, taking into account the allowable difference. can be set. By dynamically setting the detection criteria, the accuracy of abnormality detection can be improved compared to the case where abnormality detection is performed using a fixed threshold value.

FIG. 20 is a diagram showing a configuration example of a remote monitoring system 500 according to the fifth embodiment. Remote monitoring system 500 enables remote access to information regarding power storage elements included in power generation system 200. Remote monitoring system 500 includes a power generation system 200 to be remotely monitored, and an abnormality detection device 80 that collects information from power generation system 200. The abnormality detection device 80 and the power generation system 200 are communicably connected via a network N1 such as the Internet. The number of power generation systems 200 may be one or three or more. The abnormality detection device 80 may be integrated into any of the power generation systems 200.

FIG. 21 is a block diagram showing a configuration example of the power generation system 200. Illustrations of power generation devices such as solar power generation systems and wind power generation systems are omitted. The power generation system 200 includes a communication device 10, a domain management device 30, and a power storage unit (domain) 40. Server device 20 is connected to communication device 10 via network N2. Power storage unit 40 may include a plurality of banks 41. The power storage unit 40 is, for example, housed in a battery panel and used in a thermal power generation system, a mega solar power generation system, a wind power generation system, an uninterruptible power supply (UPS), a stabilized power supply system for railways, etc. Ru. A configuration including the communication device 10, the domain management device 30, and the power storage unit 40 is called a power storage system. The power storage system may include a power conditioner (not shown). The power storage unit 40 is not limited to industrial use, and may be used for home use.

The business operator designs, installs, operates, and maintains a power storage system including the communication device 10, the domain management device 30, and the power storage unit 40, and can remotely monitor the power storage system using the remote monitoring system 500.

The server device 20 can collect measurement data of the power storage system from the communication device 10. The measurement data includes measured values such as current, voltage, and temperature of each power storage element in the power storage system. The server device 20 may separate and store the collected measurement data for each power storage element. The server device 20 can transmit measurement data to the abnormality detection device 80 via the networks N2 and N1. Note that the networks N1 and N2 may be one communication network.

The abnormality detection device 80 of this embodiment uses measurement data of a reference power storage element, which is a reference for abnormality detection, among a plurality of power storage elements provided in the power generation system 200, to detect a target power storage element that is a target of abnormality detection. Anomaly detection is performed. The reference power storage element and the target power storage element may be selected in advance according to a predetermined rule, or may be selected manually, for example. The reference power storage element and the target power storage element can be determined in consideration of the total number and arrangement of power storage elements in the power generation system 200. Each of the reference power storage element and the target power storage element may be plural, and can be changed for each abnormality detection process.

FIG. 22 is a block diagram showing a configuration example of the abnormality detection device 80. The abnormality detection device 80 is, for example, a server computer, a personal computer, a quantum computer, etc., and performs various information processing and transmission and reception of information. The abnormality detection device 80 may be a multicomputer consisting of a plurality of computers, or may be a virtual machine virtually constructed by software. The abnormality detection device 80 includes a control section 81, a storage section 82, a communication section 83, a display section 84, an operation section 85, and the like.

The control unit 81 is an arithmetic circuit including a CPU, a GPU (Graphics Processing Unit), a ROM, a RAM, and the like. The CPU or GPU included in the control unit 81 executes various computer programs stored in the ROM or the storage unit 82, and controls the operations of the hardware units described above. The control unit 81 may have functions such as a timer that measures the elapsed time from when a measurement start instruction is given until a measurement end instruction is given, a counter that counts, a clock that outputs date and time information, and the like.

The storage unit 82 includes a nonvolatile storage device such as a flash memory or a hard disk drive. The storage unit 82 stores various computer programs, data, etc. that the control unit 81 refers to.

In the present embodiment, the storage unit 82 stores a program 821 for causing a computer to execute processing related to estimating the internal state quantity of the power storage element, and a measurement DB (Data Base) 822 as data necessary for executing the program 821. I remember.

The measurement DB 822 is a database that stores measurement data received from the power generation system 200. As described above, the measurement data includes measured values of the current, voltage, and temperature of the power storage element in the power generation system 200. The measurement DB 822 stores, in chronological order, records in which information such as the identification information of the power storage element, the measurement date and time of the measurement value, and the measurement data are linked, for example, using an ID for identifying measurement data as a key. The measurement DB 822 may further store, for example, information regarding the arrangement of power storage elements, internal state quantities obtained by estimation processing described later, results of abnormality detection, and the like.

The storage unit 82 also stores identification information of the reference power storage element and the target power storage element, a permissible difference value for abnormality detection, which will be described later, and the like.

A computer program (program product) including the program 821 may be provided by a non-temporary recording medium 8A on which the computer program is readably recorded. The recording medium 8A is a portable memory such as a CD-ROM, a USB memory, or an SD (Secure Digital) card. The control unit 81 reads a desired computer program from the recording medium 8A using a reading device (not shown), and stores the read computer program in the storage unit 82. Alternatively, the computer program may be provided via communication. Program 821 may be a single computer program or may consist of multiple computer programs, and may be executed on a single computer or multiple computers interconnected by a communications network. good.

The communication unit 83 includes a communication interface that realizes communication via the network N1. The control unit 81 receives measurement data transmitted from the power generation system 200 through the communication unit 83.

The display unit 84 includes a display device such as a liquid crystal display or an organic EL (Electro Luminescence) display. The display section 84 displays various information according to instructions from the control section 81. The operation unit 85 is an interface that accepts user operations. The operation unit 85 includes, for example, a keyboard, a touch panel device with a built-in display, a speaker, a microphone, and the like. The operation unit 85 receives operation input from the user and sends a control signal to the control unit 81 according to the operation content.

The abnormality detection device 80 may be configured to accept operations through an externally connected computer and output information to be notified to the external computer. In this case, the abnormality detection device 80 does not need to include the display section 84 and the operation section 85.

FIG. 23 is a functional block diagram showing a configuration example of the abnormality detection device 80. The control unit 81 of the abnormality detection device 80 reads and executes a program 821 stored in the storage unit 82 to control the power storage element simulator 811, the acquisition unit 812, the estimation unit 813, the setting unit 814, the detection unit 815, and the output. Each function of section 816 is realized. Alternatively, some of these functions may be realized by a dedicated hardware circuit (for example, FPGA or ASIC) provided in the control unit 81.

The power storage element simulator 811 has a function as a measurement data estimator. The power storage element simulator 811 of this embodiment estimates measurement data of the power storage element by inputting the internal state quantity and usage history of the power storage element. Alternatively, the power storage element simulator 811 may estimate the measurement data of the power storage element using at least the internal state quantity of the power storage element as input. The power storage element simulator 811 may estimate deterioration of the power storage element using estimated measurement data of the power storage element.

The internal state quantities that are input data to the power storage element simulator 811 include, for example, the SOC, SOH, surface and internal temperature, internal resistance, etc. of the power storage element. The usage history includes information representing the power or current (load) of the power storage element over a predetermined period and the environmental temperature. The usage history may be classified into a plurality of preset patterns. The measurement data that is the output data from the power storage element simulator 811 is data that includes at least one of the voltage, current, and temperature of the power storage element.

The power storage element simulator 811 may be composed of current-voltage simulation and temperature simulation elements, and includes (initial) SOC and (initial) SOH (more specifically, reversible discharge capacity or internal representative resistance value). , and combinations thereof), the load pattern as the usage history, and the temperature environment of the power storage element may be input, and the current, voltage, and temperature of the power storage element can be output. The temperature simulation may not be performed, and instead, the temperature of the power storage element may be input to the power storage element simulator 811.

The power storage element simulator 811 is used both for estimating an internal state quantity, which will be described later, and for estimating measurement data based on the estimated internal state quantity.

The acquisition unit 812 acquires measurement data of a plurality of power storage elements including the target power storage element and the reference power storage element by receiving the measurement data transmitted from the server device 20 at an appropriate timing. The acquisition unit 812 acquires observed values of voltage, current, and temperature of the power storage element. The measurement data of voltage, current, and temperature includes data when the power storage element is charged or discharged. The measurement data may be real-time data or historical data for a predetermined period in the past. When acquiring measurement data, the acquisition unit 812 stores the acquired measurement data in the measurement DB 822 in chronological order. Alternatively, the acquisition unit 812 may acquire the measurement data by reading data of the target power storage element from data stored in the measurement DB 822 in advance.

The acquisition unit 812 acquires (identifies) the usage history of the reference power storage element based on the acquired measurement data of the reference power storage element. The acquisition unit 812 may identify the load pattern and the environmental temperature pattern of the reference power storage element based on, for example, changes in the voltage, current, and temperature of the reference power storage element over a predetermined period. The environmental temperature pattern of the reference power storage element may be determined by considering the arrangement of the reference power storage element. Alternatively, the acquisition unit 812 stores a plurality of preset usage histories in the storage unit 82 in advance, and reads out one of the usage histories of the plurality of usage histories to determine the reference power storage element. Usage history may also be obtained. That is, the acquisition unit 812 may acquire not only the actual usage history but also a hypothetical usage history that can be assumed within the power generation system 200.

The estimation unit 813 estimates the internal state quantity of the reference electricity storage element based on the measurement data and usage history of the reference electricity storage element acquired by the acquisition unit 812 and the electricity storage element simulator 811.

FIG. 24 is a diagram illustrating a method for estimating internal state quantities. First, the acquisition unit 812 acquires the actual measured value of measurement data O _t including voltage, current, and temperature at time t. Furthermore, the usage history U _t at time t is acquired based on the time-series measurement data acquired up to time t. The usage history U _t includes, for example, a load pattern and an environmental temperature pattern. Alternatively, the usage history U _t may be only the load pattern.

The estimation unit 813 sets the internal state quantity S _t at time t, and acquires the estimated value of the measurement data O _t output from the power storage element simulator 811 based on the set internal state quantity S _t and the usage history U _t . . The estimation unit 813 compares the estimated value of the measured data O _t with the actual measured value of the measured data O _t and sets the internal state quantity S so that the estimated value of the measured data O _t approximates the actual measured value of the measured data O _t . Estimate _t . Although the method for estimating the internal state quantity S _t is not limited, for example, a known optimization method such as a genetic algorithm, a Nelder-mead method, or a gradient method may be used. The estimation unit 813 searches for the optimal value of the internal state quantity S _t so as to minimize the difference (absolute value of the difference) between the estimated value of the measurement data O _t and the actual measurement value of the measurement data O _t .

In this embodiment, as shown in FIG. 24, SOH and SOC of the internal state quantity S _t are used as design variables, and the voltage of the measurement data O _t is used as the objective variable, so that the estimated value of the voltage approximates the actual measured value. Optimize SOH and SOC to For the current and temperature indicated by broken lines in FIG. 24, common values are used in the actual measurement stage and the estimation stage. The SOC may be an initial SOC.

The estimation unit 813 ends the search when, for example, the fitness, the number of search trials (number of generations), etc. satisfy predetermined conditions. The estimation unit 813 can use the obtained optimal solution (approximate solution) of SOH and SOC as the internal state quantity S _t .

The usage history U _t that is input to the power storage element simulator 811 may be a temporary usage history as described above. For example, by using a plurality of preset usage histories U _t , the optimum value of the internal state quantity S _t when each usage history U _t is used as an input element is estimated. Thereby, it is possible to estimate internal state quantities of multiple patterns in consideration of various usage histories.

Returning to FIG. 23, the explanation will be continued. The setting unit 814 sets a detection reference value (threshold value) of the measurement data based on the internal state quantity of the reference power storage element estimated by the estimation unit 813. The setting unit 814 calculates the allowable internal state amount by adding the allowable difference to the estimated internal state amount using the estimated internal state amount of the reference power storage element as a reference.

The allowable difference can be determined by taking into consideration the normal variation range in the internal state quantities. As an example, when the internal state quantity is SOC, the allowable difference may be −2% or +2%. The allowable difference may be a negative value or a positive value. That is, the allowable internal state amount may be the lower limit value or the upper limit value of the internal state amount. The allowable internal state quantity includes one or both of a lower limit value and an upper limit value.

Based on the calculated allowable internal state amount and usage history and the power storage element simulator 811, the setting unit 814 obtains measurement data (allowable measurement data) corresponding to the calculated allowable internal state amount and usage history. The allowable measurement data corresponds to one or both of a lower limit value and an upper limit value representing a normal variation range in measurement data. The usage history used when calculating the allowable measurement data may be the same as the usage history used when estimating the internal state amount that is a reference for the allowable internal state amount.

The setting unit 814 determines a detection reference value (threshold value) by calculating the difference (absolute value of the difference) between the obtained allowable measurement data and the actual measurement value of the measurement data of the reference power storage element. Furthermore, the difference between the obtained allowable measurement data and the estimated value of the measurement data of the reference power storage element (value calculated using the power storage element simulator 811) may be used as the detection reference value.

The detection unit 815 detects an abnormality in the target power storage element based on the detection reference value set by the setting unit 814 and the measurement data of the target power storage element acquired by the acquisition unit 812. The detection unit 815 calculates the difference (absolute value of the difference) ΔO between the measurement data of the target power storage element and the average value of the measurement data. The average value of the measured data may be the average value of the measured data of some of the power storage elements in the power generation system 200 extracted according to a predetermined rule. Alternatively, the average value of the measured data may be the average value of the measured data of all the power storage elements in the power generation system 200.

The detection unit 815 performs abnormality detection by determining whether the calculated difference ΔO of the measurement data is less than the detection reference value. The detection unit 815 determines the target power storage element to be normal when the difference ΔO in the measurement data is less than the detection reference value, and determines the target power storage element to be abnormal when the difference ΔO in the measurement data is greater than or equal to the detection reference value. . The detection unit 815 may also determine the presence or absence of an abnormality using a plurality of detection reference values based on a plurality of allowable measurement data. In this case, since each detection reference value and each allowable internal state quantity range are related, it is possible to investigate the cause of the abnormality. For example, if the difference in measured data exceeds a detection reference value based on the lower limit of SOC, it is possible to infer that the cause of the abnormality is the excess of the lower limit of SOC.

It is preferable that the abnormality detection is performed based on the difference between the voltage of the target storage element and the voltage average value using a detection reference value that is a threshold regarding the voltage difference. Abnormalities can be detected with high accuracy by using a voltage that best represents the state of the power storage element in the measurement data.

The output unit 816 receives the abnormality detection result from the detection unit 815 and outputs information indicating the received detection result to the display unit 84. The display unit 84 displays information indicating the detection results. Alternatively, the output unit 816 may output information indicating the detection result to an external computer.

As described above, as a preparation step for detecting an abnormality, an allowable internal state amount indicating the range of normal internal state amounts is specified based on the internal state amount of the reference power storage element estimated using the power storage element simulator 811. A detection reference value of the measurement data is set based on the allowable measurement data corresponding to the specified allowable internal state quantity. In the abnormality detection stage, estimation of the internal state quantity of the target power storage element is not necessary, and abnormality detection is performed by comparing the difference between the measurement data and the detection reference value. Even in a large-scale system with multiple energy storage elements, by reducing the computational load of the anomaly detection process itself, it is possible to increase the comprehensiveness of anomaly detection and to generate highly explainable detection reference values. It becomes possible.

FIG. 25 is a flowchart illustrating an example of an abnormality detection processing procedure. The control unit 81 of the abnormality detection device 80 starts the following process at predetermined or appropriate intervals according to the program 821 stored in the storage unit 82.

The control unit 81 of the abnormality detection device 80 acquires actual measured values of measurement data including the voltage, current, and temperature of the reference power storage element and the target power storage element (step S311). The number of reference power storage elements and target power storage elements may be plural.

The control unit 81 acquires the usage history of the reference power storage element based on the acquired measurement data of the reference power storage element (step S312). The control unit 81 may acquire a temporary usage history.

The control unit 81 estimates the internal state quantity of the reference electricity storage element (step S313). FIG. 26 is a flowchart illustrating an example of a detailed procedure for estimating the internal state quantity. The processing procedure shown in the flowchart of FIG. 26 corresponds to the details of step S313 in the flowchart of FIG. 25.

The control unit 81 estimates (sets) the internal state quantity of the reference electricity storage element (step S321). The control unit 81 may randomly set the initial value for estimating the internal state amount, for example, between the upper limit value and the lower limit value of the internal state amount set in the reference electricity storage element. The control unit 81 may also set the previous estimation result or the estimation result of another power storage element as the initial value.

The control unit 81 receives the estimated internal state quantity and the acquired usage history as input, and acquires the estimated value of the measurement data output from the power storage element simulator 811 (step S322).

The control unit 81 determines whether the difference between the estimated value of the acquired measurement data and the actual value of the measurement data is within an allowable range (step S323).

If it is determined that the difference is not within the allowable range (step S323: NO), the control unit 81 returns the process to step S321 and repeats estimation of the internal state quantity so as to minimize the difference. The internal state quantity is optimized through steps S321 to S323.

If it is determined that the difference is within the allowable range (step S323: YES), the control unit 81 sets the obtained internal state amount to the optimal value and returns the process to step S314 in the flowchart of FIG. 25. The control unit 81 executes the estimation of the internal state quantities described above for all designated reference power storage elements.

In the above process, for example, when the temporary usage history is acquired, the control unit 81 estimates the internal state quantity of the reference electricity storage element using the acquired temporary usage history. The control unit 81 may estimate a plurality of internal state quantities corresponding to all preset usage histories. When a plurality of reference power storage elements exist, the internal state quantity may be estimated for each reference power storage element for each usage history.

Returning to FIG. 25, the explanation will be continued. The control unit 81 calculates the allowable internal state amount by adding a preset allowable difference to the estimated internal state amount of the reference power storage element (step S314). The control unit 81 calculates allowable measurement data corresponding to the calculated allowable internal state amount and usage history based on the calculated allowable internal state amount and usage history and the power storage element simulator 811 (step S315). The control unit 81 acquires the calculated allowable internal state amount and usage history, and the allowable measurement data output from the power storage element simulator 811 as input.

The control unit 81 calculates the difference between the calculated allowable measurement data and the actual measurement value of the measurement data of the reference power storage element, and sets the calculated value as the detection reference value of the measurement data (step S316). The control unit 81 may set a plurality of detection reference values based on a plurality of internal state quantities estimated for each usage history.

The control unit 81 calculates the difference ΔO between the measured data of the target power storage element and the average value of the measured data, and determines whether the calculated difference ΔO is less than the set detection reference value (step S317).

If it is determined that the calculated difference ΔO is less than the detection reference value (step S317: YES), the control unit 81 determines that the target power storage element is normal (step S318). If it is determined that the calculated difference ΔO is greater than or equal to the detection reference value (step S317: NO), the control unit 81 determines that the target power storage element is abnormal (step S319). Steps S317 to S319 correspond to abnormality detection processing. The control unit 81 performs threshold determination for each set detection reference value for all target power storage elements.

The control unit 81 outputs the abnormality detection result, for example, through the display unit 84 (step S320), and ends the example process. Alternatively, the control unit 81 may output the abnormality detection result to an external computer.

In step S313 described above, the control unit 81 may estimate the internal state amount using a method other than estimating the internal state amount using the power storage element simulator 811. The control unit 81 may estimate the internal state amount based on the previous estimation result of the internal state amount. For example, the control unit 81 may obtain the current SOC using a current integration method based on the previous SOC estimated using the power storage element simulator 811. The control unit 81 may estimate the internal state quantity every predetermined number of abnormality detections, and may continue to use the previous estimation result of the internal state quantity until the predetermined number of times is reached.

In the embodiment described above, an example has been described in which the abnormality detection device 80 executes each process in the above flowchart. Alternatively, part or all of the above processing may be executed by another processing entity, such as the domain management device 30 or the server device 20.

The embodiments disclosed herein are illustrative in all respects and should be considered not to be restrictive. The technical features described in each example can be combined with each other, and the scope of the present invention is intended to include all modifications within the scope of the patent and the scope of equivalents to the scope of the claims. .
The sequences shown in each embodiment are not limited, and each processing procedure may be executed with the order changed, or a plurality of processes may be executed in parallel, as long as there is no contradiction. The processing entity of each process is not limited, and the processes of each device may be executed by other devices as long as there is no contradiction.

The items described in each embodiment can be combined with each other. Moreover, independent claims and dependent claims described in the claims can be combined with each other regardless of the form in which they are cited. Furthermore, although the scope of claims uses a format in which claims refer to two or more other claims (multi-claim format), the invention is not limited to this format. It may be written using a multi-claim format that cites at least one multi-claim.

100, 300, 400, 500 remote monitoring system 200 power generation system 10 communication device 11 control unit 12 storage unit 13 first communication unit 14 second communication unit 20 server device 30 domain management device 40 power storage unit 41 bank 42 power storage module 43 measurement board 44 Battery management device 50 Calculation device 51 Control section 52 Storage section 53 Communication section 54 Display section 55 Operation section 511 Acquisition section 512 Calculation section 513 Load estimation section 514 Generation section 515 Output section 516 Modification section 521 Program 5A Recording medium 60 Estimation device 61 Control unit 62 Storage unit 63 Communication unit 64 Display unit 65 Operation unit 611 Energy storage element simulator 612 Acquisition unit 613 Estimation unit 614 Output unit 621 Program 622 Measurement DB
6A Recording medium 70 Abnormality detection device 71 Control section 72 Storage section 73 Communication section 74 Display section 75 Operation section 711 Energy storage element simulator 712 Acquisition section 713 Estimation section 714 Detection section 715 Output section 721 Program 722 Measurement DB
7A Recording medium 80 Abnormality detection device 81 Control unit 82 Storage unit 83 Communication unit 84 Display unit 85 Operation unit 811 Energy storage element simulator 812 Acquisition unit 813 Estimation unit 814 Setting unit 815 Detection unit 816 Output unit 821 Program 822 Measurement DB
8A Recording medium

Claims

an acquisition unit that acquires actual measurement data and virtual measurement data of the power storage element;
a calculation unit that calculates the current and future deterioration state of the power storage element based on measurement data of the power storage element,
When calculating the current deterioration state, the calculation section calculates the deterioration state according to a predetermined calculation algorithm based on the actual measurement data acquired by the acquisition section, and when calculating the future deterioration state, the acquisition section calculates the deterioration state. A calculation device that calculates a state of deterioration based on the acquired virtual measurement data according to the predetermined calculation algorithm.
The calculation unit calculates the current state of deterioration based on the actual measurement data, and then calculates the future state of deterioration based on the virtual measurement data generated based on the actual measurement data. calculation device.
The calculation device according to claim 1 or 2, wherein the calculation unit calculates a future deterioration state using a current deterioration state calculated based on the actual measurement data as a reference value.
a load estimation unit that estimates a virtual load of the electricity storage element based on time-series actual measurement data;
The calculation device according to claim 1 or 2, further comprising a generation unit that generates the virtual measurement data based on the virtual load estimated by the load estimation unit.
The generation unit generates a plurality of virtual measurement data based on a plurality of virtual load patterns,
The calculation device according to claim 4, wherein the calculation unit calculates a future state of deterioration corresponding to each virtual measurement data.
The calculation unit calculates an internal state quantity of the power storage element based on measurement data of the power storage element,
The calculation device according to claim 1 or 2, wherein the deterioration state of the electricity storage element is calculated based on the calculated internal state amount.
The calculation device according to claim 1 or 2, further comprising a modification unit that modifies the predetermined calculation algorithm based on modification information of the current state of deterioration calculated by the calculation unit.
Acquire actual measurement data and virtual measurement data of the energy storage element,
When calculating the current state of deterioration, the state of deterioration is calculated according to a predetermined calculation algorithm based on the acquired actual measurement data,
When calculating a future state of deterioration, a method for calculating a state of deterioration in which a computer executes a process of calculating the state of deterioration according to the predetermined calculation algorithm based on acquired virtual measurement data.
Acquire actual measurement data and virtual measurement data of the energy storage element,
When calculating the current state of deterioration, the state of deterioration is calculated according to a predetermined calculation algorithm based on the acquired actual measurement data,
When calculating a future state of deterioration, the program causes a computer to execute a process of calculating the state of deterioration according to the predetermined calculation algorithm based on the acquired virtual measurement data.
an acquisition unit that acquires measurement data of the electricity storage element;
A power storage element simulator that estimates measurement data of the power storage element based on the internal state quantity of the power storage element is used to estimate the power storage element so that the measurement data output from the power storage element simulator approximates the measurement data acquired by the acquisition unit. An estimating device comprising an estimating unit that estimates an internal state quantity of.
The estimation device according to claim 10, wherein the estimation unit searches for an optimal value of the internal state quantity that minimizes a difference between the measurement data output from the power storage element simulator and the measurement data acquired by the acquisition unit.
The estimating unit uses the power storage element simulator that estimates measurement data of the power storage element based on the internal state quantity and usage history of the power storage element, and receives the usage history of the power storage element as input and outputs from the power storage element simulator. The estimation device according to claim 10 or 11, wherein the internal state quantity of the electricity storage element is estimated so that the measurement data approximates the measurement data acquired by the acquisition unit.
Obtain the measurement data of the energy storage element,
Using a power storage element simulator that estimates measurement data of the power storage element based on the internal state quantity of the power storage element, the internal state quantity of the power storage element is estimated so that the measurement data output from the power storage element simulator approximates the acquired measurement data. An estimation method in which the process is performed by a computer.
Obtain the measurement data of the energy storage element,
Using a power storage element simulator that estimates measurement data of the power storage element based on the internal state quantity of the power storage element, the internal state quantity of the power storage element is estimated so that the measurement data output from the power storage element simulator approximates the acquired measurement data. A program that causes a computer to perform a process to estimate.
an acquisition unit that acquires measurement data of the reference energy storage element and the target energy storage element;
Measurement data output from the power storage element simulator is acquired by the acquisition unit based on each measurement data acquired by the acquisition unit and a power storage element simulator that estimates measurement data of the power storage element from an internal state quantity of the power storage element. an estimation unit that estimates internal state quantities of the reference power storage element and the target power storage element so as to approximate the measured data;
An abnormality detection device comprising: a detection unit that detects an abnormality in the target power storage element based on a comparison between the internal state quantity of the reference power storage element estimated by the estimation unit and the internal state quantity of the target power storage element.
The estimation unit searches for an optimal value of the internal state quantity that minimizes the absolute value of the difference between the measurement data output from the power storage element simulator and the measurement data acquired by the acquisition unit. Anomaly detection device.
The estimating unit uses the power storage element simulator that estimates measurement data of the power storage element based on the internal state quantity and usage history of the power storage element, and uses the usage history as input and calculates the measurement data output from the power storage element simulator. The abnormality detection device according to claim 15 or 16, wherein the internal state quantities of the reference power storage element and the target power storage element are estimated so as to approximate the measurement data acquired by the acquisition unit.
The abnormality detection device according to claim 15 or 16, wherein the internal state amount includes a health state or a charging state of the electricity storage element.
Obtain the measurement data of the reference energy storage element and the target energy storage element,
Based on each acquired measurement data and a power storage element simulator that estimates the measurement data of the power storage element from the internal state quantity of the power storage element, so that the measurement data output from the power storage element simulator approximates the acquired measurement data, estimating internal state quantities of the reference energy storage element and the target energy storage element;
An abnormality detection method in which a computer executes a process of detecting an abnormality in the target power storage element based on a comparison between an estimated internal state quantity of the reference power storage element and an internal state quantity of the target power storage element.
Obtain the measurement data of the reference energy storage element and the target energy storage element,
Based on each acquired measurement data and a power storage element simulator that estimates the measurement data of the power storage element from the internal state quantity of the power storage element, so that the measurement data output from the power storage element simulator approximates the acquired measurement data, estimating internal state quantities of the reference energy storage element and the target energy storage element;
A program for causing a computer to execute a process of detecting an abnormality in the target power storage element based on a comparison between an estimated internal state quantity of the reference power storage element and an internal state quantity of the target power storage element.
an acquisition unit that acquires measurement data of the reference energy storage element and the target energy storage element;
Measured data estimated by a power storage element simulator based on an internal state amount obtained by adding an allowable difference to the internal state amount of the reference power storage element estimated from the measurement data of the reference power storage element acquired by the acquisition unit, and the acquired a setting unit that sets a detection standard based on measurement data of the reference energy storage element acquired by the unit;
An abnormality detection device comprising: a detection unit that detects an abnormality in the target power storage element based on a detection criterion set by the setting unit and measurement data of the target power storage element acquired by the acquisition unit.
Using the power storage element simulator that estimates measurement data of the power storage element based on the internal state quantity of the power storage element, the measurement data output from the power storage element simulator is matched with the measurement data of the reference power storage element acquired by the acquisition unit. The abnormality detection device according to claim 21, further comprising an estimation unit that estimates the internal state quantity of the reference electricity storage element so as to approximate it.
The abnormality detection device according to claim 22, wherein the estimation unit searches for an optimal value of the internal state quantity that minimizes a difference between the measurement data output from the power storage element simulator and the measurement data acquired by the acquisition unit. .
The abnormality detection device according to claim 21 or 22, wherein the setting unit sets the plurality of detection criteria based on an internal state quantity of the reference electricity storage element estimated for each usage history of the reference electricity storage element.
The abnormality detection device according to claim 21 or 22, wherein the detection unit detects abnormality based on the voltage of the target power storage element.
The abnormality detection device according to claim 21 or 22, wherein the internal state quantity includes a degree of deterioration or a state of charge of the electricity storage element.
Obtain the measurement data of the reference energy storage element and the target energy storage element,
Measurement data estimated by a power storage element simulator based on an internal state amount obtained by adding an allowable difference to the internal state amount of the reference power storage element estimated from the acquired measurement data of the reference power storage element, and the acquired reference power storage element Detection criteria are set based on the measurement data of
An abnormality detection method in which a computer executes a process of detecting an abnormality in the target power storage element based on set detection criteria and acquired measurement data of the target power storage element.
Obtain the measurement data of the reference energy storage element and the target energy storage element,
Measurement data estimated by a power storage element simulator based on an internal state amount obtained by adding an allowable difference to the internal state amount of the reference power storage element estimated from the acquired measurement data of the reference power storage element, and the acquired reference power storage element Detection criteria are set based on the measurement data of
A program for causing a computer to execute a process of detecting an abnormality in the target power storage element based on set detection criteria and acquired measurement data of the target power storage element.
an acquisition unit that acquires measurement data of the reference energy storage element and the target energy storage element;
Measured data estimated by a power storage element simulator based on an internal state amount obtained by adding an allowable difference to the internal state amount of the reference power storage element estimated from the measurement data of the reference power storage element acquired by the acquisition unit, and the acquired An abnormality detection device comprising: measurement data of the reference energy storage element acquired by the section; and a setting section that sets a detection standard based on the measurement data of the reference power storage element.