JP2024041525A - Anomaly detection device, anomaly detection method and program - Google Patents

Abstract

[Problem] To provide an abnormality detection device etc. capable of improving the accuracy of abnormality detection for energy storage elements. [Solution] The abnormality detection device includes an acquisition unit that acquires measurement data of a reference energy storage element and a target energy storage element, a setting unit that sets a detection criterion based on measurement data estimated by an energy storage element simulator based on an internal state quantity of the reference energy storage element estimated from the measurement data of the reference energy storage element acquired by the acquisition unit and an allowable difference added to the internal state quantity of the reference energy storage element, and the measurement data of the reference energy storage element acquired by the acquisition unit, and a detection unit that detects an abnormality in the target energy storage element based on the detection criterion set by the setting unit and the measurement data of the target energy storage element acquired by the acquisition unit. [Selected Figure] Figure 1

Description

The present invention relates to an abnormality detection device, an abnormality detection method, and a program.

Power storage elements are widely used in uninterruptible power supplies, DC power supplies, and the like. 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 a system using power storage elements, it is important to accurately grasp the state of each power storage element. Various methods have been proposed to understand the state of energy storage elements, such as methods that use measurement data such as voltage, current, and temperature observed during charging and discharging of energy storage elements, and efforts are being made to improve accuracy (for example, patents (See Reference 1).

Japanese Patent Application Publication No. 2013-003115

As a state diagnosis of a power storage element, an abnormality of the power storage element is detected based on the magnitude of the difference between measurement data of the power storage element and a 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.

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.

An object of the present disclosure is to provide an abnormality detection device and the like that can improve the accuracy of abnormality detection of a power storage element.

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 the present disclosure, it is possible to improve the accuracy of abnormality detection of a power storage element.

1 is a diagram illustrating a configuration example of a remote monitoring system. 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) 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.

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 described 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.

Further, 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.

(2) In the abnormality detection device according to (1) 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 is 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 (2) above, by using the power storage element simulator, it is possible to efficiently estimate the internal state quantity of the reference 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.

(3) In the abnormality detection device according to (2) 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 (3) above, an optimal solution for the internal state quantity can be obtained efficiently and accurately using an optimization method.

(4) In the anomaly detection device described in any one of (1) to (3) above, the setting unit may set a plurality of the detection criteria based on an internal state quantity of the reference storage element estimated for each usage history of the reference storage element.

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 power storage element. According to the abnormality detection device described in (4) above, detection criteria can be set in consideration of the internal state quantities and usage history of various power storage elements, so Anomaly detection becomes possible.

(5) In the abnormality detection device according to any one of (1) to (4) 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 (5) 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. .

(6) In the abnormality detection device according to any one of (1) to (5) above, the internal state amount may include a degree of deterioration or a state of charge of the power storage element.

Here, the "health state" may be SOH, and the "charge state" may be SOC. According to the anomaly detection device described in (6) above, the accuracy of anomaly detection can be improved by taking into account the health state or charge state, which significantly affects the measurement data.

(7) 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 executes a process of detecting 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.

(8) The 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 allows an internal state quantity of the reference power storage element estimated from the acquired measurement data of the reference power 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.

(9) 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. and a setting section for setting.

According to the abnormality detection device described in (9) above, the detection standard is dynamically set each 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 that takes 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.

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 that is a target of remote monitoring, and an abnormality detection device 50 that collects information from the power generation system 200. The abnormality detection 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 abnormality detection 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 housed in a battery panel, for example, and is 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 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 measurement data acquired via the domain management device 30.

The server device 20 can collect measurement data of the energy storage system from the communication device 10. The measurement data includes measurement values such as the current, voltage, and temperature of each energy storage element in the energy storage system. The server device 20 may store the collected measurement data by dividing it into groups for each energy storage element. The server device 20 can transmit the measurement data to the anomaly detection device 50 via the networks N2 and N1. Note that the networks N1 and N2 may be a single communication network.

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 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.

The abnormality detection device 50 of the present 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. 3 is a block diagram showing a configuration example of the abnormality detection device 50. The abnormality detection 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 abnormality detection device 50 may be a multicomputer consisting of a plurality of computers, or may be a virtual machine virtually constructed by software. The abnormality detection 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 the present embodiment, the storage unit 52 stores a program 521 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) 522 as data necessary for executing the program 521. I remember.

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, 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 52 also stores identification information of the reference power storage element and the target power storage element, an allowable difference value for detecting an abnormality, which will be described later, and the like.

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

The communication unit 53 has a communication interface that realizes communication via the network N1. The control unit 51 receives the 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 abnormality detection 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 abnormality detection 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 abnormality detection device 50. The control unit 51 of the abnormality detection device 50 reads and executes the program 521 stored in the storage unit 52 to control the power storage element simulator 511, the acquisition unit 512, the estimation unit 513, the setting unit 514, the detection unit 515, and the output. Each function of section 516 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 51.

The power storage element simulator 511 has a function as a measurement data estimator. The power storage element simulator 511 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 511 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 511 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 511 include, for example, the SOC and SOH of the power storage element, surface and internal temperatures, internal resistance, and the like. 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 511 is data that includes at least one of the voltage, current, and temperature of the power storage element.

The power storage element simulator 511 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 511.

The energy storage element simulator 511 is used both to estimate the internal state quantities described below, and to estimate measurement data based on the estimated internal state quantities.

The acquisition unit 512 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 512 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 512 stores the acquired measurement data in the measurement DB 522 in chronological order. Alternatively, the acquisition unit 512 may acquire the measurement data by reading data of the target power storage element from data stored in the measurement DB 522 in advance.

The acquisition unit 512 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 512 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 512 stores a plurality of preset usage histories in the storage unit 52 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 512 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 513 estimates the internal state quantity of the reference storage element based on the measurement data and usage history of the reference storage element acquired by the acquisition unit 512 and the storage element simulator 511.

FIG. 5 is a diagram illustrating a method for estimating internal state quantities. First, the acquisition unit 512 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 513 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 511 based on the set internal state quantity S _t and the usage history U _t . . The estimation unit 513 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 513 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. 5, 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. 5, common values are used in the actual measurement stage and the estimation stage. The SOC may be an initial SOC.

The estimation unit 513 ends the search when, for example, the fitness, the number of search trials (number of generations), etc. satisfy predetermined conditions. The estimation unit 513 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 511 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 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. 4, the explanation will be continued. The setting unit 514 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 513. The setting unit 514 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 considering the normal variation range in the internal state quantity. 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.

The setting unit 514 obtains measurement data (permissible 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 511. 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 514 obtains a detection reference value (threshold value) by calculating the difference (absolute value of the difference) between the obtained allowable measurement data and the actual value of the measurement data of the reference storage element. In addition, the detection reference value may be the difference between the obtained allowable measurement data and an estimated value of the measurement data of the reference storage element (a value calculated using the storage element simulator 511).

The detection unit 515 detects an abnormality in the target power storage element based on the detection reference value set by the setting unit 514 and the measurement data of the target power storage element acquired by the acquisition unit 512. The detection unit 515 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 515 detects an abnormality by determining whether the calculated difference ΔO of the measurement data is less than a detection reference value. If the difference ΔO of the measurement data is less than the detection reference value, the detection unit 515 determines that the target storage element is normal, and if the difference ΔO of the measurement data is equal to or greater than the detection reference value, the detection unit 515 determines that the target storage element is abnormal. The detection unit 515 may also determine the presence or absence of an abnormality using multiple detection reference values based on multiple allowable measurement data. In this case, since each detection reference value is associated with each allowable internal state quantity range, the cause of the abnormality can be identified. For example, if the difference of the measurement data exceeds the detection reference value based on the lower allowable value of the SOC, the cause of the abnormality can be estimated to be an exceedance of the lower limit of the SOC.

It is preferable that abnormality detection is performed based on the difference between the voltage of the target storage element and the average voltage using a detection reference value, which is a threshold value for the voltage difference. By using a voltage that, among the measurement data, best represents the state of the storage element, abnormalities can be detected with high accuracy.

The output unit 516 receives the abnormality detection result from the detection unit 515 and outputs information indicating the received detection result to the display unit 54. The display unit 54 displays information indicating the detection results. Alternatively, the output unit 516 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 a 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 511. 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. 6 is a flowchart illustrating an example of an abnormality detection processing procedure. The control unit 51 of the abnormality detection device 50 starts the following process at predetermined or appropriate intervals according to the program 521 stored in the storage unit 52.

The control unit 51 of the abnormality detection device 50 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 S11). The number of reference power storage elements and target power storage elements may be plural.

Control unit 51 acquires the usage history of the reference power storage element based on the acquired measurement data of the reference power storage element (step S12). The control unit 51 may acquire a temporary usage history.

The control unit 51 estimates the internal state quantity of the reference storage element (step S13). FIG. 7 is a flowchart showing an example of a detailed procedure for estimating the internal state quantity. The processing procedure shown in the flowchart of FIG. 7 corresponds to the details of step S13 in the flowchart of FIG. 6.

The control unit 51 estimates (sets) the internal state quantity of the reference electricity storage element (step S21). The control unit 51 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 reference electricity storage element. The control unit 51 may also set the previous estimation result or the estimation result of another power storage element as the initial value.

The control unit 51 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 511 (step S22).

The control unit 51 determines whether the difference between the estimated value of the acquired measurement data and the actual measurement value of the measurement data is within an allowable range (step S23).

If it is determined that the difference is not within the allowable range (step S23: NO), the control unit 51 returns the process to step S21 and repeats estimation of the internal state quantity so as to minimize the difference. The internal state quantity is optimized through steps S21 to S23.

If it is determined that the difference is within the allowable range (step S23: YES), the control unit 51 sets the obtained internal state quantity as the optimum value and returns the process to step S14 in the flowchart of FIG. The control unit 51 executes the estimation of the internal state quantities described above for all designated reference power storage elements.

In the above-described process, for example, when the temporary usage history is acquired, the control unit 51 estimates the internal state quantity of the reference power storage element using the acquired temporary usage history. The control unit 51 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. 6, the explanation continues. The control unit 51 calculates the allowable internal state quantity by adding a preset allowable difference to the estimated internal state quantity of the reference storage element (step S14). The control unit 51 calculates allowable measurement data corresponding to the calculated allowable internal state quantity and usage history based on the calculated allowable internal state quantity and usage history and the storage element simulator 511 (step S15). The control unit 51 acquires the allowable measurement data output from the storage element simulator 511 using the calculated allowable internal state quantity and usage history as inputs.

The control unit 51 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 S16). The control unit 51 may set a plurality of detection reference values based on a plurality of internal state quantities estimated for each usage history.

The control unit 51 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 S17).

If it is determined that the calculated difference ΔO is less than the detection reference value (step S17: YES), the control unit 51 determines that the target power storage element is normal (step S18). If it is determined that the calculated difference ΔO is greater than or equal to the detection reference value (step S17: NO), the control unit 51 determines that the target power storage element is abnormal (step S19). Steps S17 to S19 correspond to abnormality detection processing. The control unit 51 performs threshold determination for each set detection reference value for all target power storage elements.

The control unit 51 outputs the abnormality detection result, for example, through the display unit 54 (step S20), and ends the example process. Alternatively, the control unit 51 may output the abnormality detection result to an external computer.

In step S13 described above, the control unit 51 may estimate the internal state amount using a method other than estimating the internal state amount using the power storage element simulator 511. The control unit 51 may estimate the internal state amount based on the previous estimation result of the internal state amount. For example, the control unit 51 may obtain the current SOC using a current integration method based on the previous SOC estimated using the power storage element simulator 511. The control unit 51 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.

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 50 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 embodiment can be combined with each other, and the scope of the present invention is intended to include all changes within the scope of the claims and the range of equivalents to the scope of the claims. be done.
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.

Items described in each embodiment can be combined with each other. Moreover, the independent claims and dependent claims recited in the claims may be combined with each other in any and all combinations, regardless of the form in which they are cited. Further, 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 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 Abnormality Detection device 51 Control unit 52 Storage unit 53 Communication unit 54 Display unit 55 Operation unit 511 Energy storage element simulator 512 Acquisition unit 513 Estimation unit 514 Setting unit 515 Detection unit 516 Output unit 521 Program 522 Measurement DB
5A Recording medium

Claims (9)

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 1, further comprising an estimator that estimates the internal state quantity of the reference power storage element so as to approximate it. The abnormality detection device according to claim 2, 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 1 or 2, 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 1 or 2, wherein the detection unit detects the abnormality based on the voltage of the target power storage element. The abnormality detection device according to claim 1 or 2, 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.

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