Information processing method, information processing system, and program

Abstract

In the information processing method, measurement data of a plurality of power storage elements is acquired; executing a first process for estimating a deterioration state of a first power storage element group selected from the plurality of power storage elements on the basis of measurement data of the first power storage element group; extracting, from among the plurality of power storage elements, a second power storage element to be subjected to a second process; and performing a second process for estimating a deterioration state of the second power storage element on the basis of the extracted measurement data of the second power storage element.

Description

Technical Field

[0001] The present invention relates to an information processing method, an information processing system, and a program. Background Art

[0002] The use of energy storage devices (Energy Storage Device) in large-scale systems that store electricity generated by renewable energy or existing power generation systems is expanding. It is known that energy storage devices deteriorate continuously due to repeated charging and discharging, and the storage capacity gradually decreases. In order to effectively and flexibly utilize the energy storage devices included in an energy storage system, it is important to know to what extent the storage capacity has decreased.

[0003] In Patent Document 1, a battery device is disclosed that improves the accuracy of the predicted value of the deterioration rate and accurately predicts the life by performing deterioration prediction using data on the usage conditions and deterioration rate based on measurement data of the current, voltage, and temperature of the energy storage device.

[0004] Prior Art Documents

[0005] Patent Documents

[0006] Patent Document 1: Japanese Patent Application Laid-Open No. 2015-121520 Summary of the Invention

[0007] Problems to be Solved by the Invention

[0008] Large-scale energy storage systems are composed of multiple energy storage devices. For example, in a large-scale solar power generation system called megasolar, there are millions of such a large number of energy storage devices, which is much larger than the number of energy storage devices used for power or auxiliary machines of each vehicle, for example.

[0009] In such a large-scale energy storage system, a huge amount of measurement data related to a large number of energy storage devices is obtained. Regarding the monitoring of a large-scale energy storage system, it is required to monitor the state of the energy storage devices with high precision. On the other hand, it is not realistic to perform state analysis on all the energy storage devices included in the system randomly and at a high frequency throughout the period. Regarding the processing of measurement data of a large-scale energy storage system, sufficient research has not been conducted on suppressing the increase in processing load and monitoring the deterioration state with high precision.

[0010] An object of the present disclosure is to provide an information processing method and the like that can suppress the increase in the processing load of measurement data related to a large-scale energy storage system and monitor the deterioration state of the energy storage devices with high precision.

[0011] Means for Solving the Problems

[0012] In the information processing method according to one aspect of the present disclosure, measurement data of a plurality of power storage elements is acquired, and based on the measurement data of a first power storage element group selected from the plurality of power storage elements, a first process for estimating the degradation state of the first power storage element group is executed. A second power storage element that is the object of a second process is extracted from the plurality of power storage elements, and based on the measurement data of the extracted second power storage element, a second process for estimating the degradation state of the second power storage element is executed.

[0013] Advantageous Effects of the Invention

[0014] According to the present disclosure, it is possible to suppress an increase in the processing load of measurement data related to a large-scale power storage system and to monitor the degradation state with high accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 It is a diagram showing an outline of a remote monitoring system according to an embodiment.

[0016] Figure 2 It is a block diagram showing a structural example of a power generation system.

[0017] Figure 3 It is a block diagram showing a structural example of an information processing device.

[0018] Figure 4 It is a block diagram showing a structural example of a terminal device.

[0019] Figure 5 It is a flowchart showing an example of a processing procedure related to the first process.

[0020] Figure 6 It is a flowchart showing an example of a processing procedure related to the extraction process.

[0021] Figure 7 It is a flowchart showing an example of a processing procedure related to the second process.

[0022] Figure 8 It is a schematic diagram showing an example of a screen showing the estimation result of the degradation state.

[0023] Figure 9 It is a flowchart showing an example of a processing procedure executed by the information processing device according to the third embodiment.

[0024] Figure 10 It is a flowchart showing an example of a processing procedure executed by the information processing device according to the fourth embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0025] (1) In the information processing method according to one aspect of the present disclosure, measurement data of a plurality of power storage elements is acquired, and based on the measurement data of a first power storage element group selected from the plurality of power storage elements, a first process for estimating the degradation state of the first power storage element group is executed. A second power storage element that is an object of a second process is extracted from the plurality of power storage elements, and based on the measurement data of the extracted second power storage element, a second process for estimating the degradation state of the second power storage element is executed.

[0026] According to the information processing method described in (1) above, for the measurement data of a plurality of power storage elements included in a large-scale power storage system, the degradation state can be constantly estimated as the first process using the measurement data of the first power storage element group, and the degradation state can be non-constantly estimated as the second process using the measurement data of the second power storage element. For the second power storage element, it is extracted by a prescribed extraction process, and for example, it may be a power storage element having a possibility of abnormality. By organizing and distributing the huge measurement data related to the plurality of power storage elements obtained from the large-scale power storage system according to their characteristics and monitoring purposes (processing purposes), and executing processes corresponding to the measurement data, the measurement data can be efficiently and effectively utilized. An increase in the processing load of the measurement data related to the large-scale power storage system can be suppressed, and the degradation state of the power storage elements can be monitored with high accuracy.

[0027] In the information processing method, through the first process for the first power storage element group, the state of the entire power storage element system can be comprehensively observed. In addition, through the second process for the second power storage element, the state analysis of the power storage element indicating behavior deviating from the group is additionally executed, thereby preventing, for example, omission of abnormality detection. Or, it is possible to confirm and observe the degradation state of the power storage element that degrades faster than other power storage elements. Thus, the state of the power storage system can be promptly conveyed to the system / service provider, manager, and user. Preparation can be made for system maintenance such as the omen of a failure and the timing for replacing the power storage element, and appropriate responses can be taken promptly. By appropriately extracting the measurement data to be subjected to a prescribed process and efficiently processing it, the state of the large-scale power storage system can be appropriately monitored.

[0028] The so-called degraded state can be, for example, the SOH (State of Health) of the energy storage element, or it can also be information such as the internal resistance, charge-discharge characteristics, energy storage capacity, degradation amount of the energy storage capacity (such as the degradation amount during power-on and the degradation amount during non-power-on), degradation rates of the positive and negative electrodes, deviation of capacity balance (the difference in the capacity of the positive and negative electrodes of the energy storage element through which charge ions can reversibly enter and exit the electrode), geometric shape of the energy storage element, SOF (State of Function), and the function of the energy storage element under specified load and temperature conditions. The first process and the second process can also include anomaly detection for detecting anomalies of the energy storage element based on the estimation results of the degraded state.

[0029] (2) In the information processing method described in (1) above, it can also be that when an anomaly of the first energy storage element group or the second energy storage element is detected based on the estimation result of the first process or the second process, a warning message is output.

[0030] According to the information processing method described in (2) above, by outputting a warning message, for example, the operator can be reliably notified of the anomaly of the energy storage element. By performing the analysis process of the energy storage element appropriately extracted from a large amount of data, the over-issuance of warning messages can be prevented, and the information to be notified can be provided appropriately.

[0031] (3) In the information processing method described in (1) or (2) above, it can also be that based on the estimation result of the first process or the second process, proposal information related to the operation of the plurality of energy storage elements is generated.

[0032] According to the information processing method described in (3) above, the operation method for anomalies of the energy storage element can be easily grasped, so a prompt response can be made. The proposal information can also include, for example, information that prompts the re-evaluation of the load or environment of a large-scale energy storage system equipped with a plurality of energy storage elements and the replacement of the energy storage elements.

[0033] (4) In the information processing method described in any one of (1) to (3) above, it can also be that the first process or the second process includes a process for estimating the current degraded state and a process for estimating the future degraded state.

[0034] According to the information processing method described in (4) above, in addition to being able to grasp the current abnormalities of the electricity storage elements, it is also possible to grasp the omens of abnormalities in the future degradation state. In addition, it is possible to distinguish the causes of abnormalities when an abnormality is detected in the state of the electricity storage elements. For example, suppose that the estimation of the current degradation state is an estimation method that takes into account the internal state of the electricity storage elements based on the latest measurement data, and the estimation of the future degradation state is an estimation method that takes into account the influence of the load or environment on the electricity storage elements. It is possible to distinguish that when the current degradation state is abnormal, it is caused by the internal state of the electricity storage elements, and when the future degradation state is worse than expected and abnormal, it is caused by the load and environment of the electricity storage elements, etc.

[0035] (5) In the information processing method described in any one of (1) to (4) above, it may also be to obtain the distribution of the measurement data among the plurality of electricity storage elements, and extract the second electricity storage element based on the obtained distribution of the measurement data.

[0036] According to the information processing method described in (5) above, it is possible to efficiently and highly accurately determine the electricity storage element representing the behavior deviating from the group based on the distribution of the measurement data that is relatively easy to calculate. The measurement data for obtaining the distribution may be, for example, a voltage value. Even when extracting the second electricity storage element from a large number of electricity storage elements, it is possible to reduce the calculation cost and perform high-speed processing. By performing a second process with a high calculation cost on the second electricity storage element extracted by the high-speed and simple abnormality detection process, it is possible to efficiently and highly accurately estimate the degradation state. Through the two-stage process, it is possible to reduce the false detection elements and lower the false positive rate.

[0037] (6) In the information processing method described in any one of (1) to (5) above, it may also be to obtain the voltage distribution among the plurality of electricity storage elements based on the measurement data of the plurality of electricity storage elements, and extract the electricity storage element whose difference from the average value or median value of the voltage calculated based on the obtained voltage distribution is equal to or more than a specified value as the second electricity storage element.

[0038] According to the information processing method described in (6) above, by focusing on the voltage that appropriately reflects the state of the electricity storage element and using the voltage difference representing the deviation from the average value as an evaluation index, it is possible to highly accurately determine the second electricity storage element with the possibility of having an abnormality.

[0039] (7) In the information processing method described in any one of (1) to (6) above, it may also be to extract any one of the electricity storage elements in the first group of electricity storage elements as the second electricity storage element based on the estimation result of the first process.

[0040] According to the information processing method described in (7) above, for a storage element whose degradation state based on the first processing is abnormal, the second processing can be further performed, so that the state of the storage element can be grasped more reliably.

[0041] (8) In the information processing method described in any one of (1) to (7) above, it may also be that the first storage element group is selected based on the distribution of the loads or temperatures of the plurality of storage elements.

[0042] According to the information processing method described in (8) above, by selecting the first storage element group by considering the load or temperature that has a strong influence on the degradation state of the storage element, the representative behavior of the storage element system can be appropriately grasped. For example, the first storage element group may also include storage elements corresponding to the maximum value, minimum value, or average value of the load or temperature in each unit when a large-scale energy storage system is divided into specific units. It is particularly preferable to set a storage element group connected by the same battery type and the same series path as one unit. According to the above structure, the storage elements representing the distribution of the degradation state can be appropriately selected.

[0043] (9) In the information processing method described in any one of (1) to (8) above, it may also be that the first processing is performed based on the measurement data in the first period, and the second processing is performed based on the measurement data in the second period other than the specific period in the first period.

[0044] According to the information processing method described in (9) above, in the first processing and the second processing, the details of the measurement data as the processing object can be made different. For example, in the second processing, by removing the irregular measurement data at the initial stage of operation, the measurement data during the non-powered period, or the measurement data related to special usage histories, etc., an estimation conforming to the actual usage state of the storage element during normal times can be performed.

[0045] (10) In the information processing method described in any one of (1) to (9) above, the number of the plurality of storage elements may also be 1 million or more.

[0046] According to the information processing method described in (10) above, in particular, a large amount of measurement data collected in millions of units can be appropriately processed.

[0047] (11) An information processing system according to an aspect of the present disclosure includes: an acquisition unit that acquires measurement data of a plurality of power storage elements; a first processing unit that performs first processing for estimating a degradation state of a first group of power storage elements selected from the plurality of power storage elements based on the measurement data of the first group of power storage elements; an extraction unit that extracts a second power storage element that is an object of second processing from the plurality of power storage elements; and a second processing unit that performs second processing for estimating a degradation state of the second power storage element based on the measurement data of the extracted second power storage element.

[0048] (12) A program according to an aspect of the present disclosure causes a computer to perform the following processing: acquire measurement data of a plurality of power storage elements; perform first processing for estimating a degradation state of a first group of power storage elements selected from the plurality of power storage elements based on the measurement data of the first group of power storage elements; extract a second power storage element that is an object of second processing from the plurality of power storage elements; and perform second processing for estimating a degradation state of the second power storage element based on the measurement data of the extracted second power storage element.

[0049] Hereinafter, the present disclosure will be specifically described with reference to the drawings showing embodiments of the present disclosure.

[0050] (First Embodiment)

[0051] Figure 1 FIG. 1 is a diagram showing an outline of a remote monitoring system (information processing system) 100 according to an embodiment. The remote monitoring system 100 can remotely access information related to power storage elements included in the power generation system 200. The remote monitoring system 100 includes an information processing device 50 as a main device. The information processing device 50 collects information from the power generation system 200 that is the object of remote monitoring. The information processing device 50 is connected to a network N1 such as the Internet. In addition, a terminal device 60 and the power generation system 200 are connected to the network N1.

[0052] The information processing device 50 and the terminal device 60 are not limited to separate devices. For example, the information processing device 50 and the terminal device 60 may be a common single processing device. The information processing device 50 and the terminal device 60 or one of them may be incorporated into any of the power generation systems 200. The number of power generation systems 200 may be one or three or more.

[0053] Figure 2FIG. 0 is a block diagram showing a structural example of a power generation system 200. Diagrams of power generation devices such as a solar power generation system and a wind power generation system are omitted. The power generation system 200 includes a communication device 10, a battery domain management device 30, and a power storage unit (battery domain) 40. The server device 20 is connected to the communication device 10 via the network N2. The power storage unit 40 may also include a plurality of battery banks 41. The power storage unit 40 is, for example, housed in a battery tray and is used for a thermal power generation system, a large-scale solar (megasolar) power generation system, a wind power generation system, an uninterruptible power supply (UPS), a stabilized power supply system for railways, etc. The structure including the communication device 10, the battery domain management device 30, and the power storage unit 40 is referred to as a power storage system. The power storage system may also include a power conditioner (not shown). The power storage unit 40 is not limited to industrial use and may also be a home-use power storage unit. The power generation system 200 corresponds to a large-scale power storage system having a plurality of power storage elements.

[0054] An operator conducts operations such as the design, introduction, operation, and maintenance of a power storage system including the communication device 10, the battery domain management device 30, and the power storage unit 40, and can remotely monitor the power storage system through the remote monitoring system 100.

[0055] The communication device 10 includes a control unit 11, a storage unit 12, a first communication unit 13, and a second communication unit 14. The control unit 11 is composed of a CPU (Central Processing Unit), etc., and controls the entire communication device 10 using internal memories such as a ROM (Read Only Memory) and a RAM (Random Access Memory).

[0056] The storage unit 12 includes, for example, a non-volatile storage device such as a flash memory. The storage unit 12 can store required information, for example, information obtained through the processing of the control unit 11.

[0057] The first communication unit 13 includes a communication interface for realizing communication with the battery domain management device 30 or the battery management device 44. The control unit 11 can communicate with the battery domain management device 30 through the first communication unit 13.

[0058] The second communication unit 14 includes a communication interface for realizing communication via the network N2. The control unit 11 can communicate with the server device 20 through the second communication unit 14.

[0059] The battery domain management device 30 transmits and receives information to and from each battery pack 41 using a specified communication interface. The storage unit 12 can store the measurement data obtained via the battery domain management device 30.

[0060] The server device 20 can collect the measurement data of the power storage system from the communication device 10. The measurement data includes measurement values such as current, voltage, and temperature of each power storage element in the power storage system. The server device 20 can also store the collected measurement data separately for each power storage element. The server device 20 can transmit the measurement data to the information processing device 50 via the networks N2 and N1. In addition, the networks N1 and N2 can also be a single communication network.

[0061] The battery pack 41 is formed by connecting a plurality of power storage modules in series, and includes a battery management device (BMU: Battery Management Unit), a plurality of power storage modules 42, and measurement substrates (CMU: Cell Management Unit) 43 provided in each power storage module 42, etc.

[0062] A plurality of power storage battery cells are connected in series to the power storage module 42. In this specification, "power storage element" can also mean a power storage battery cell, a power storage module 42, a battery pack 41, or a battery domain formed by connecting battery packs 41 in parallel. In this embodiment, the measurement substrate 43 obtains measurement data related to each power storage battery cell of the power storage module 42. The measurement data can be repeatedly obtained at an appropriate cycle such as 0.1 second, 0.5 second, 1 second, etc. The "power storage element" is preferably a secondary battery such as a lead-acid battery and a lithium-ion battery, or a rechargeable element such as a capacitor. A part of the power storage element can also be a non-rechargeable primary battery.

[0063] The battery management device 44 can communicate with the measurement substrate 43 with communication function through serial communication, and can obtain the measurement data detected by the measurement substrate 43. The battery management device 44 can transmit and receive information to and from the battery domain management device 30. The battery domain management device 30 collects the measurement data from the battery management devices 44 of the battery packs belonging to the battery domain. The battery domain management device 30 outputs the collected measurement data to the communication device 10. In this way, the communication device 10 can obtain and store the measurement data of the power storage unit 40 via the battery domain management device 30.

[0064] The communication device 10 transmits the measurement data stored after the previous timing to the server device 20 at a specified timing (for example, at a certain cycle, or when the data volume satisfies a specified condition, etc.). The measurement data can also be associated with the identification information of the power storage element.

[0065] The information processing device 50 of the present embodiment uses measurement data of a plurality of power storage elements provided in the power generation system 200, performs analysis processing such as estimation of the degradation state of the power storage elements and abnormality detection, and monitors the state of the power generation system 200. The information processing device 50 presents the results of the analysis processing to the user or the operator (maintenance person in charge) through the terminal device 60.

[0066] Figure 3 FIG. is a block diagram showing a structural example of the information processing device 50. The information processing device 50 is, for example, a server computer, a personal computer, a quantum computer, etc., and performs various information processing and information transmission and reception. The information processing device 50 may be a multi-computer composed of multiple computers, or may be a virtual machine virtually constructed by software. The information processing device 50 includes a control unit 51, a storage unit 52, and a communication unit 53.

[0067] The control unit 51 is an arithmetic circuit including a CPU, a GPU (Graphics Processing Unit), a ROM, a RAM, etc. The CPU or GPU included in the control unit 51 executes various computer programs stored in the ROM and the storage unit 52, and controls the operations of the respective hardware units. The control unit 51 may also include functions such as a timer for measuring the elapsed time from the start indication of measurement to the end indication of measurement, a counter for counting the quantity, and a clock for outputting date and time information.

[0068] The storage unit 52 includes non-volatile storage devices such as a flash memory and a hard disk drive. The storage unit 52 stores various computer programs and data referred to by the control unit 51. The storage unit 52 may also be an external storage device connected to the information processing device 50.

[0069] The storage unit 52 of the present embodiment stores a program 521 for causing a computer to execute processing related to the estimation of the degradation state of the power storage element, and a measurement DB (Data Base) 522 that is data required for the execution of the program 521.

[0070] The measurement DB522 is a database that stores measurement data received from the power generation system 200. As described above, the measurement data includes the measured values of the current, voltage, and temperature of the energy storage element within the power generation system 200. The measurement data of voltage, current, and temperature includes the data during the charging or discharging of the energy storage element. In the measurement DB522, for example, records are stored in chronological order with the ID for identifying the measurement data as the key, associating information such as the identification information of the energy storage element, the measurement date and time, and the measurement data. In the measurement DB522, information related to the configuration of the energy storage element, the deterioration state obtained through the estimation process described later, the results of anomaly detection, etc. can also be further stored. Whenever the control unit 51 receives the measurement data sent from the server device 20 at an appropriate timing, the received measurement data is stored in the measurement DB522 in chronological order.

[0071] In addition, in the storage unit 52, the identification information of each energy storage element included in the first energy storage element group described later, various thresholds for analysis processing, etc. can also be stored.

[0072] The computer program (program product) including the program 521 can also be provided by a non-transitory recording medium 5A that can read and record the computer program. The recording medium 5A is a portable memory such as a CD-ROM, a USB memory, an SD (Secure Digital) card, etc. The control unit 51 reads the 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 above computer program can also be provided through communication. The program 521 can be a single computer program or composed of multiple computer programs, and can be executed on a single computer or on multiple computers interconnected through a communication network.

[0073] The communication unit 53 includes a communication interface that enables communication via the network N1. The control unit 51 receives the measurement data sent from the power generation system 200 through the communication unit 53. The control unit 51 sends various processing results to external devices such as the terminal device 60 through the communication unit 53.

[0074] The information processing device 50 can also include a display unit that displays various information, an operation unit that accepts user operations, etc.

[0075] Figure 4It is a block diagram showing a structural example of the terminal device 60. The terminal device 60 can also be a computer used by an operator such as a manager or a maintenance person in charge of the battery system of the power generation system 200. The terminal device 60 is, for example, a personal computer, a smart phone, or a tablet terminal, etc., and is an information terminal device that performs various information processing and information transmission and reception. The terminal device 60 includes a control unit 61, a storage unit 62, a communication unit 63, a display unit 64, an operation unit 65, and so on.

[0076] The control unit 61 is an arithmetic circuit including a CPU, a ROM, a RAM, etc. The CPU or GPU included in the control unit 61 executes various computer programs stored in the ROM and the storage unit 62, and controls the operations of the above-mentioned various hardware units.

[0077] The storage unit 62 includes non-volatile storage devices such as a flash memory and a hard disk drive. The storage unit 62 stores various computer programs and data that the control unit 61 refers to. Based on the computer programs stored in the storage unit 62, the control unit 61 causes various processing results provided by the information processing device 50 to be displayed on the display unit 64.

[0078] The communication unit 63 includes a communication interface that enables communication via the network N1. The control unit 61 transmits and receives information to and from the information processing device 50 through the communication unit 63.

[0079] The display unit 64 includes, for example, a display device such as a liquid crystal display or an organic EL (Electro Luminescence) display. The display unit 64 displays information to be notified to the user in accordance with an instruction from the control unit 61. The display unit 64 can also be rewritten as a notification unit, which is a means of notifying the user by other means such as sound.

[0080] The operation unit 65 is an interface that accepts operations from the user. The operation unit 65 includes, for example, a keyboard, a touch panel device built into the display, a speaker, and a microphone, etc. The operation unit 65 accepts operation inputs from the user and sends a control signal corresponding to the operation content to the control unit 61.

[0081] The information processing device 50 efficiently selects a specific battery storage element that represents behavior deviating from the group among a large number of battery storage elements of the power generation system 200, and performs deterioration state estimation and anomaly detection on the measurement data of the selected battery storage element.

[0082] In the present embodiment, the information processing device 50 pre-selects a first group of storage elements representing the distribution of power or temperature, which have a greater impact on the degradation state among the measurement metrics. The information processing device 50 performs a first process for estimating the degradation state of the selected first group of storage elements. In addition, the information processing device 50 performs an extraction process for extracting a second storage element with an abnormal voltage value based on the voltage distribution of the acquired measurement data for the voltage, which represents various changes among the measurement metrics. The information processing device 50 additionally performs a second process for estimating the degradation state of the extracted second storage element.

[0083] As described above, the information processing device 50 constantly performs an analysis process on the first group of storage elements representing the power (load) or temperature (environment) within the power generation system 200, and an extraction process corresponding to simple abnormality detection based on the voltage distribution. Furthermore, it non-constantly performs an analysis process on the second storage element extracted through simple abnormality detection. The information processing device 50 organizes and allocates the measurement data according to the characteristics of the measurement data and the monitoring purpose (processing purpose), and selectively performs the processes, thereby achieving efficient and effective data processing. Hereinafter, the operation of the information processing device 50 will be described.

[0084] Figure 5 It is a flowchart showing an example of the processing procedure related to the first process. The processing in each of the following flowcharts can be executed by the control unit 51 according to the program 5P stored in the storage unit 52 of the information processing device 50, can also be implemented by a dedicated hardware circuit (such as an FPGA or ASIC) provided in the control unit 51, or can be implemented by a combination thereof. The information processing device 50 repeatedly executes the following processing at a prescribed or appropriate interval. The information processing device 50 preferably processes the measurement data measured in the power generation system 200 in real time.

[0085] The control unit 51 of the information processing device 50, through its function as an acquisition unit, acquires (extracts) the measurement data of the first group of storage elements among the plurality of storage elements included in the power generation system 200 based on the information stored in the measurement DB 522 (step S11). Alternatively, the control unit 51 can also acquire the measurement data of the first group of storage elements through communication with the server device 20.

[0086] The first energy storage elements included in the first energy storage element group can be selected in advance according to a specified rule, or can be selected manually. As an example, the first energy storage element group can also include the energy storage elements corresponding to the maximum or minimum value of the load or temperature in each unit when the power generation system 200 is divided into specific units (for example, each battery pack). The load corresponding to the energy storage element refers to the current of the energy storage element or the power calculated based on the current. The first energy storage element group can further include the energy storage elements corresponding to the average value of the load or temperature in each unit. The load or temperature of the energy storage element can obtain the actual measurement data at the initial stage of measurement, or can also be a predicted value based on the configuration of the energy storage elements in the power generation system 200. The number of energy storage elements in the first energy storage element group can be determined in consideration of the total number of energy storage elements in the power generation system 200.

[0087] The first energy storage element can also be changed midway during the processing. Based on the measurement data collected according to the timing, for example, when it is determined that an energy storage element different from the selected first energy storage element corresponds to the maximum value of the temperature, the different energy storage element can be set as the new first energy storage element.

[0088] The control unit 51 executes a first process including a first estimation process and a second estimation process through the function as the first processing unit. The control unit 51 executes a first estimation process (step S12) for estimating the current degradation state of each first energy storage element included in the first energy storage element group by the first estimation method. Hereinafter, the case of estimating the SOH as the degradation state will be described as an example.

[0089] As the first estimation process, the control unit 51 estimates the current SOH of the first energy storage element based on the acquired measurement data of the first energy storage element. The control unit 51 can also use the measurement data of the most recent short period in the measurement data of the entire period from the start of measurement to the present to estimate the current SOH.

[0090] The first estimation method only needs to be a method for calculating the degradation state by considering the internal state of the energy storage element, and is not particularly limited. As an example, the control unit 51 derives a charge-discharge capacity-voltage curve (charge-discharge characteristics), and estimates the current SOH based on the derived charge-discharge characteristics.

[0091] The control unit 51 calculates time-series data of the electricity quantity (charge storage quantity) based on the time-series data of the current and voltage of the first charge storage element for a short period, and generates a charge quantity-voltage curve representing the relationship between the calculated charge storage quantity and the voltage corresponding to the charge storage quantity. The control unit 51 uses the electricity quantity obtained from the difference between the positive electrode single-pole characteristic and the negative electrode single-pole characteristic to supplement the capacity band in the generated charge quantity-voltage curve for which no measurement data is obtained. Thus, a charge quantity-voltage curve spanning from the lower limit voltage value set for the charge storage element to the upper limit voltage is obtained. The current charge storage capacity and SOH are obtained by subtracting the charge storage quantity corresponding to the upper limit voltage from the charge storage quantity corresponding to the lower limit voltage of the charge-discharge characteristic. The charge-discharge characteristic may also be an SOC-voltage curve based on the SOC and voltage corresponding to the charge storage quantity.

[0092] Alternatively, the control unit 51 may also obtain the SOH by obtaining the actual capacity measured by performing full charge and discharge across the lower limit voltage value set for the charge storage element to the upper limit voltage, and may also calculate the charge storage capacity by measuring the internal resistance of the charge storage element.

[0093] Based on the estimation result of the first estimation process, the control unit 51 performs abnormality detection of the first charge storage element (step S13). In step S13, the control unit 51 executes a determination process for determining whether each first charge storage element is abnormal. Specifically, the control unit 51 determines whether the current SOH of the first charge storage element obtained by the first estimation process is abnormal by comparing it with the reference degradation state.

[0094] The control unit 51 calculates the difference between the current SOH of the first charge storage element and the reference SOH (reference degradation state), and determines whether the calculated difference is equal to or greater than a preset threshold value. In this specification, the so-called "difference" means the absolute value of the difference. When the difference is equal to or greater than the threshold value, the control unit 51 determines that the first charge storage element is abnormal. When the difference is less than the threshold value, the control unit 51 determines that the first charge storage element is normal.

[0095] When the charge-discharge characteristic of the first charge storage element is obtained, the control unit 51 may also compare the charge-discharge characteristic of the first charge storage element with the reference charge-discharge characteristic. The control unit 51 performs abnormality detection based on the difference between the SOH determined according to the charge-discharge characteristic of the first charge storage element and the reference SOH determined according to the reference charge-discharge characteristic. Alternatively, the curve shapes of the charge-discharge characteristic of the first charge storage element and the reference charge-discharge characteristic may also be compared. The control unit 51 may also perform abnormality detection by determining whether the offset amount in the charge storage capacity axis direction of the curve shape is equal to or greater than a specified value, or whether the similarity of the curve shapes is less than a specified value, etc.

[0096] Regarding the reference charge-discharge characteristics, the pre-generated reference charge-discharge characteristics can be stored in the storage unit 52, or can be generated based on the measurement data of normal storage elements provided around each first storage element and having the same or similar environment or usage history as the first storage element.

[0097] The reference degradation state can also be a pre-set reference value of SOH. The control unit 51 performs abnormality detection by comparing the pre-set reference value of SOH with the SOH of the first storage element calculated based on the above charge-discharge characteristics or the SOH of the first storage element obtained by other methods. The reference degradation state can also be a reference value related to other storage capacities, internal resistances, or their change amounts.

[0098] In the case where it is determined that a first storage element is abnormal and thus the first storage element is determined to be abnormal (an abnormality of the first storage element is detected) (step S13: YES), the control unit 51 advances the process to step S16. In the case where it is determined that all the first storage elements are normal and thus the first storage element is determined not to be abnormal (an abnormality of the first storage element is not detected) (step S13: NO), the control unit 51 advances the process to step S17.

[0099] In parallel with the above-described first estimation process, the control unit 51 performs a second estimation process (step S14) for estimating the current and future degradation states of each first storage element by a second estimation method.

[0100] As the second estimation process, the control unit 51 uses a life prediction simulator to estimate the current and future degradation states of each first storage element. The life prediction simulator can use the current, voltage, and temperature of the storage element over a specified period as input data to estimate (calculate) the degradation state of the storage element at a certain point in the current or future. The future point in time, that is, the life prediction target period, of the life prediction simulator can be appropriately set according to the degree of future life prediction. The control unit 51 can also use the measurement data of the first storage element over the entire period stored in the measurement DB522 as input data.

[0101] The life prediction simulator calculates the degradation values of the on-power degradation and the off-power degradation using the SOC of the storage element estimated based on the current data and voltage data and the temperature of the storage element estimated based on the temperature data. By successively calculating the cumulative values of the on-power degradation value and the off-power degradation value, the SOH at the time point to be estimated is calculated.

[0102] In the case of predicting the future SOH, prediction data of current, voltage, and temperature up to a future time point can be used as input to the life prediction simulator. The prediction data can also be derived based on the measured values of the measurement data of the first energy storage element obtained so far, predicting the time series pattern of power or current (load) and the time series pattern of the ambient temperature in the case of using it in the same way as so far, and according to these prediction results.

[0103] In the present embodiment, it is assumed that the control unit 51 uses the life prediction simulator to predict the current and future SOH. Alternatively, the control unit 51 may use the life prediction simulator to only predict the future SOH.

[0104] The control unit 51 performs abnormality detection of the first energy storage element based on the estimation result of the second estimation process (step S15). In step S15, the control unit 51 executes a determination process for determining whether each first energy storage element is abnormal. Specifically, the control unit 51 determines whether the current and future SOH of the first energy storage element are abnormal by comparing the current and future SOH of the first energy storage element obtained by the second estimation process with the reference values of the current and future SOH.

[0105] The control unit 51 calculates the differences between the current and future SOH of the first energy storage element and the reference values of the current and future SOH, and determines whether each calculated difference is equal to or greater than a preset threshold value. When the difference is equal to or greater than the threshold value, the control unit 51 determines that the first energy storage element is abnormal. When the difference is less than the threshold value, the control unit 51 determines that the first energy storage element is normal. The control unit 51 determines whether each of the current and future SOH is abnormal.

[0106] Regarding the reference value of the SOH, a preset value can be stored in the storage unit 52, or the measurement data of a normal energy storage element provided around each first energy storage element and having the same or similar environment or usage history as the first energy storage element can be used to calculate it by the life prediction simulator.

[0107] In the above, an example of determining the presence or absence of an abnormality based on the comparison of SOH was described. Instead, the control unit 51 may also determine whether there is an abnormality in the first power storage element or the load condition and temperature associated with the first power storage element based on at least one of the load and the temperature. For example, the control unit 51 compares the future load of the first power storage element with a reference value of the future load. It is also possible that when the increase amount of the load of the first power storage element with respect to the reference value of the future load is equal to or greater than a preset threshold value, the load condition for the first power storage element is determined to be abnormal. The control unit 51 may also, based on the comparison between the current temperature of the first power storage element and the reference value of the current temperature, when the difference between the reference value of the current temperature and the temperature of the first power storage element is equal to or greater than the threshold value, determine that the first power storage element or the temperature environment of the periphery of the first power storage element is abnormal.

[0108] In the case where it is determined that the first power storage element is abnormal by determining that any one of the first power storage elements is abnormal (step S15: YES), the control unit 51 advances the process to step S16. In the case where it is determined that the first power storage element is not abnormal by determining that all of the first power storage elements are normal (step S15: NO), the control unit 51 advances the process to step S17.

[0109] The control unit 51 may execute the first estimation process and the second estimation process in parallel, or may execute the other after executing any one of the first estimation process and the second estimation process.

[0110] In the case where an abnormality of the power storage element is detected, the control unit 51 generates a warning message indicating the meaning of the abnormality and a proposal message for proposing a usage method of the power generation system 200 corresponding to the first power storage element in which the abnormality is detected (step S16). In the present embodiment, it is assumed that the warning message and the proposal message are included in a screen showing the estimation result described later.

[0111] The control unit 51 generates a screen showing the estimation result of the degradation state of the first power storage element group (step S17). The current and future SOH values of each first power storage element are included in the estimation result. The control unit 51 transmits the generated screen to the terminal device 60 (step S18), and the screen is displayed by the display unit 64 of the terminal device 60. Instead, the control unit 51 may also output the generated screen to an external computer or the like. Through the above processing, the first process for estimating the degradation state of the first power storage element group ends.

[0112] In the above, an example was described in which a warning message and a proposal message are output using a screen showing an estimation result. Instead, the control unit 51 may also output the warning message and / or the proposal message separately from the screen showing the estimation result. The control unit 51 may also be configured not to output the estimation result when no abnormality is detected.

[0113] As described above, the information processing apparatus 50 performs two types of estimation processes, a first estimation process considering the internal state of the power storage element and a second estimation process considering the load and the environment. When an abnormality is detected, the cause of the abnormality can be distinguished, that is, whether the abnormality is inside the power storage element or an abnormality in the load and the environment. By distinguishing the cause of the abnormality, appropriate measures can be taken corresponding to the cause of the abnormality.

[0114] Figure 6 is a flowchart showing an example of a processing procedure related to the extraction process. The control unit 51 of the information processing apparatus 50 may perform the following processing after the processing of the Figure 5 flowchart ends, or may also perform the following processing in parallel with the processing of the Figure 5 flowchart.

[0115] The control unit 51 of the information processing apparatus 50 acquires measurement data of a plurality of power storage elements included in the power generation system 200 based on the information stored in the measurement DB 522 (step S21). Instead, the control unit 51 may also acquire the measurement data of each power storage element by communicating with the server apparatus 20. In step S21, the control unit 51 may acquire the measurement data of all the power storage elements included in the power generation system 200, or may acquire the measurement data of the power storage elements randomly selected from all the power storage elements or selected according to a predetermined rule. When acquiring the measurement data of all the power storage elements, for example, statistical values such as the maximum value or the minimum value may be used instead of the distribution information.

[0116] The control unit 51 acquires the voltage distribution of the plurality of power storage elements based on the voltage in the acquired measurement data of the plurality of power storage elements (step S22), and determines the maximum value or the minimum value of the voltage based on the voltage distribution. The control unit 51 may divide the power generation system 200 into specific units (for example, each battery pack) and acquire the voltage distribution for each divided unit.

[0117] The control unit 51 calculates the difference ΔV between the determined maximum or minimum value of the voltage and the average value or the median value of the voltage calculated from the voltage distribution, and determines whether the calculated difference ΔV is equal to or greater than a preset threshold value (step S23). When it is determined that the calculated difference ΔV is less than the preset threshold value (step S23: No (NO)), the control unit 51 determines that there is no second power storage element to be extracted and ends the extraction process.

[0118] When the calculated differential ΔV is equal to or greater than a preset threshold value (step S23: YES), the control unit 51 extracts the storage element corresponding to the voltage value of the differential ΔV that is equal to or greater than the threshold value as the second storage element (step S24). The control unit 51 functions as an extraction unit. Through the above extraction process, it is possible to easily extract the storage elements that may have abnormalities. The number of second storage elements extracted by the control unit 51 may be multiple.

[0119] In the measurement data distribution that is relatively easy to calculate, especially focusing on the voltage that appropriately reflects the state of the storage element, and using the voltage difference representing the deviation from the average value as an evaluation index, it is possible to efficiently and accurately determine the second storage element that may have an abnormality.

[0120] Figure 7 It is a flowchart showing an example of the processing procedure related to the second processing. After the processing of the flowchart of the information processing device 50 ends, the control unit 51 of the information processing device 50 performs the following processing. Figure 6 After the processing of the flowchart ends, the following processing is executed.

[0121] The control unit 51 of the information processing device 50 obtains the measurement data of each extracted second storage element based on the extraction result of the second storage element and the information stored in the measurement DB522 (step S31).

[0122] The control unit 51 executes a second process including a first estimation process and a second estimation process by functioning as a second processing unit. The control unit 51 performs a first estimation process for estimating the current degradation state of each second storage element by a first estimation method (step S32).

[0123] The control unit 51 performs abnormality detection of the second storage element based on the estimation result of the first estimation process by functioning as an abnormality detection unit (step S33). In step S33, the control unit 51 executes a determination process for determining whether each second storage element is abnormal. The processing contents of the first estimation process and the abnormality detection executed in the second process are the same as those of the first estimation process and the abnormality detection process of the first process described in steps S12 to S13 of the flowchart shown in Figure 5 Therefore, the detailed description is omitted.

[0124] When it is determined that a second storage element is abnormal by determining that any one of the second storage elements is abnormal (step S33: YES), the control unit 51 advances the process to step S36. When it is determined that the second storage element is not abnormal by determining that all the second storage elements are normal (step S33: NO), the control unit 51 ends the process. Alternatively, the control unit 51 may also advance the process to step S37.

[0125] In parallel with the above-described first estimation process, the control unit 51 performs a second estimation process (step S34) for estimating the current and future degradation states of each second power storage element by a second estimation method.

[0126] Based on the estimation result of the second estimation process, the control unit 51 performs abnormality detection of the second power storage element through its function as an abnormality detection unit (step S35). In step S35, the control unit 51 executes a determination process for determining whether each second power storage element is abnormal. The processing contents of the second estimation process and the abnormality detection executed in the second process are the same as those of the second estimation process and the abnormality detection process of the first process described in steps S14 to S15 of the flowchart shown in Figure 5 except that the processing target is the second power storage element, and thus detailed description is omitted.

[0127] When it is determined that the second power storage element is abnormal by determining that any one of the second power storage elements is abnormal (step S35: YES), the control unit 51 advances the process to step S36. When it is determined that the second power storage element is not abnormal by determining that all of the second power storage elements are normal (step S35: NO), the control unit 51 ends the process. Alternatively, the control unit 51 may also advance the process to step S37.

[0128] When an abnormality of the power storage element is detected, the control unit 51 generates, for example, a warning message indicating the meaning of the abnormality and a proposal message for proposing an operation method of the power generation system 200 corresponding to the first power storage element in which the abnormality is detected for output using the screen described later (step S36).

[0129] The control unit 51 generates a screen representing the estimation result of the degradation state of the second power storage element (step S37). The estimation result includes the current and future SOH values of the second power storage element. The control unit 51 transmits the generated screen to the terminal device 60 (step S38), and the screen is displayed on the display unit 64 of the terminal device 60. Through the above processing, the second process for estimating the degradation state of the second power storage element ends.

[0130] The control unit 51 may also receive an execution instruction for the second process from the operator when executing the second process. For example, the operator only selects a desired second power storage element from the extracted second power storage elements and instructs the execution of the second process. The control unit 51 executes the second process for the selected second power storage element according to the received execution instruction.

[0131] The control unit 51 may also be configured to vary the period of the measurement data to be processed during the execution of the first estimation process and / or the second estimation process related to the second process. For example, it is assumed that the control unit 51 uses the measurement data of the first power storage element for the entire period as the input to the life prediction simulator and executes the second estimation process related to the first process. For the above-mentioned first process, the control unit 51 can use the measurement data of the second power storage element for the period other than a specific period during the entire period as the input to the life prediction simulator and execute the second estimation process related to the second process. The specific period may include, for example, the non-powered period at the initial stage of operation, the period indicating a special usage history, etc. The specific period can be obtained, for example, by accepting the operator's designation when accepting the above-mentioned execution instruction.

[0132] Figure 8 is a schematic diagram showing an example of a screen representing the estimation result of the degradation state. Hereinafter, it is assumed that Figure 8 the screen 640 shown represents the estimation result of the first process for explanation, but the output example of the estimation result of the second process is the same.

[0133] The screen 640 includes a result display unit 641 for displaying the estimation result of the degradation state, a details display unit 642 for displaying the details of the degradation state, and a suggestion display unit 643 for displaying the suggestion information.

[0134] In the result display unit 641, the estimation result of the degradation state of the first power storage element to be displayed is displayed in association with the information of the first power storage element that is the display object of the estimation result. The estimation result includes the current SOH based on the first estimation process and the current and future SOH based on the second estimation process. For example, the information processing device 50 generates an illustration that can identify the position of the first power storage element in the power generation system 200 according to the identification information of each first power storage element, so as to display the first power storage element to be displayed in an identifiable manner.

[0135] As the estimation result, the information processing device 50 associates and displays the SOH estimated by the first estimation process and the second estimation process with the reference value (reference degradation information) for each SOH value in the result display unit 641. In Figure 8 it, together with the degradation state of the first power storage element to be displayed, the degradation state related to the average power storage element corresponding to the average value of the load or temperature included in the same battery pack as the first power storage element to be displayed is arranged and displayed. The information processing device 50 may also display the estimation results of all the first power storage elements at a glance.

[0136] When an abnormality exists in the first power storage element that is a display object, a warning message is further displayed on the screen 640. The information processing device 50 may also cause text indicating an SOH abnormality to be displayed as a warning message on the screen 640. The information processing device 50 may also perform display processing such as coloring, framing, or flashing on the detected abnormal SOH value so that the detected abnormal SOH can be recognized. In Figure 8 , a warning message indicating an abnormality in the future SOH value of the result display unit 641 is represented by applying hatching to the future SOH.

[0137] The details display unit 642 displays details of various processing results of the first power storage element in which an abnormality is detected, for example, using a graph. When the information processing device 50 detects an abnormality in the first power storage element, it generates a graph corresponding to the content of the abnormality of the first power storage element and displays it on the details display unit 642. As Figure 8 shown, in the case of an abnormality in the future SOH based on the second estimation process, the information processing device 50 generates a graph representing the life prediction result of the first power storage element. For easy comparison, the information processing device 50 may also overlap and display a graph of the initial life prediction result or the reference value of the SOH on the graph representing the generated life prediction result.

[0138] Alternatively, in the case of an abnormality in the current SOH based on the first estimation process, the information processing device 50 may also generate a graph representing the charge and discharge characteristics of the first power storage element. For easy comparison, the information processing device 50 may also overlap and display a graph of the charge and discharge characteristics of an average power storage element or reference charge and discharge characteristics on the graph representing the charge and discharge characteristics. When the screen 640 is a screen representing the estimation result based on the second process, the information processing device 50 may also generate a graph representing the chronological change of the voltage difference ΔV as the details of the result of the extraction process.

[0139] The advice display unit 643 displays advice information indicating an operation advice corresponding to the deterioration state of the first power storage element. When generating the advice information, the information processing device 50 stores, for example, an unillustrated advice table in which the content of the abnormality is associated with the operation advice in the storage unit 52 in advance. When an abnormality in the power storage element is detected, the control unit 51 refers to the above advice table, reads out the advice information corresponding to the content of the abnormality or the cause of the abnormality, and displays it on the advice display unit 643.

[0140] In the case where an abnormality is detected through the first estimation process, since the abnormality is caused by an internal state, replacement of the energy storage element is proposed as an operation recommendation. In the case where an abnormality is detected through the second estimation process, since the abnormality is caused by a load or temperature, re-evaluation of the load or environment (temperature range in use) of the energy storage element is proposed as an operation recommendation. For the recommendation table, it is also possible to store a recommendation that takes into account the deviation of the degradation state of the first energy storage element from the reference degradation state. For example, it is also possible to generate a recommendation to reduce the load when the load of the degradation state of the first energy storage element is higher than a specified value compared to the reference degradation state.

[0141] In the case where an abnormality is detected through the second estimation process, when the deviation between the current SOH based on the first estimation process and the current SOH based on the second estimation process is an abnormality at a preset threshold, replacement of the energy storage element can also be proposed as an operation recommendation. In the case where the deviation between the current SOH based on the first estimation process and the current SOH based on the second estimation process is an abnormality at a specified value, re-evaluation of the algorithm of the life prediction simulator can also be proposed as an operation recommendation. Re-evaluation of the algorithm can also be notified to the operator by an output method different from the operation recommendation, such as an alarm message.

[0142] According to the present embodiment, it is possible to suppress an increase in the processing load of a large amount of measurement data obtained from a large-scale energy storage system, and to monitor the degradation state including future information with high accuracy.

[0143] By performing the first process of efficiently estimating the current and future degradation states on the first energy storage element group selected considering the load and temperature of the energy storage element, it is possible to perform anomaly detection including discrimination of the overall cause of the anomaly in the entire system. In addition, by additionally performing the second process on the second energy storage element extracted considering the voltage, it is possible to reduce the omission of anomaly detection. By performing detailed anomaly detection based on the second process on the second energy storage element extracted by a simple extraction process, it is possible to reduce the processing cost and improve the accuracy of anomaly detection.

[0144] (Second Embodiment)

[0145] In the second embodiment, a structure for extracting the second energy storage element under extraction conditions different from the voltage distribution is described. Hereinafter, the differences from the first embodiment will be mainly described, and the same reference numerals will be given to the structures common to the first embodiment and their detailed descriptions will be omitted.

[0146] The information processing apparatus 50 according to the second embodiment extracts a second power storage element based on the estimation result of the first process. The control unit 51 of the information processing apparatus 50 receives an abnormality detection result for the current SOH based on the first estimation process and an abnormality detection result for the current and future SOHs based on the second estimation process. The control unit 51 extracts the first power storage element determined to be abnormal as the second power storage element based on the received abnormality detection results.

[0147] Alternatively, the control unit 51 may extract the second power storage element to be the second processing target, for example, by statistical processing of measurement data for a plurality of power storage elements, a machine learning method, or a mathematical formula based on empirical rules. The control unit 51 may also combine the above-described plurality of extraction methods.

[0148] According to the present embodiment, it is possible to extract the second power storage element to be the second processing target from a more diverse viewpoint.

[0149] (Third Embodiment)

[0150] In the third embodiment, a configuration for determining whether a warning message needs to be output will be described. Hereinafter, the differences from the first embodiment will be mainly described, and the same reference numerals will be given to the configurations common to the first embodiment and their detailed descriptions will be omitted.

[0151] Figure 9 FIG. is a flowchart showing an example of a processing procedure executed by the information processing apparatus 50 according to the third embodiment.

[0152] The control unit 51 of the information processing apparatus 50 performs processing by the same process as steps S31 to S33 of the Figure 7 shown flowchart to perform abnormality detection of the second power storage element. When it is determined that the current SOH based on the first estimation process is abnormal (step S33: YES), the control unit 51 determines whether to output a warning message (step S41). Specifically, the control unit 51 obtains the time change of the difference between the current SOH of the second power storage element and the reference SOH as the reference degradation state based on the estimation result in the time series. The control unit 51 determines whether the time change of the difference between the current SOH of the second power storage element obtained and the reference degradation state, that is, the time change of the deviation of the degradation state of the second power storage element from the reference degradation state satisfies the allowable condition.

[0153] For example, when the change in the elapsed time of the difference is decreasing or maintaining a tendency, or when the change amount of the difference during a specified period is less than a preset allowable threshold value, the control unit 51 determines not to output a warning message. When the change in the elapsed time of the difference is increasing, or when the change amount of the difference during a specified period is equal to or greater than the preset allowable threshold value, the control unit 51 determines to output a warning message.

[0154] When it is determined not to output a warning message (step S41: No), the control unit 51 ends the process. When it is determined to output a warning message (step S41: Yes), the control unit 51 causes the process to proceed to Figure 7 step S36 of the flowchart shown in FIG., and generates and outputs a warning message.

[0155] In the above, based on the abnormal temporal change in the deterioration state of the second energy storage element, it is determined whether a warning message needs to be output. Alternatively, the information processing device 50 may also determine whether a warning message needs to be output based on the abnormal temporal change in the deterioration state of the first energy storage element.

[0156] According to the present embodiment, it is possible to set whether a warning message needs to be output based on the temporal change in the deviation of the deterioration state of the energy storage element from the reference deterioration state, and thus it is possible to effectively notify only high-priority information.

[0157] (Fourth Embodiment)

[0158] In the fourth embodiment, a configuration for presenting not only the future deterioration state but also the period when the future deterioration state deviates from a specified reference is described. Hereinafter, the differences from the first embodiment will be mainly described, and the same reference numerals are given to the configurations common to the first embodiment and their detailed descriptions are omitted.

[0159] Figure 10 FIG. is a flowchart showing an example of the processing procedure executed by the information processing device 50 according to the fourth embodiment.

[0160] The control unit 51 of the information processing device 50 performs processing in the same procedure as steps S31 to S35 of the Figure 7 flowchart shown in FIG., and performs abnormality detection of the second energy storage element. When it is determined that the future deterioration state based on the first estimation process is abnormal (step S35: Yes), the control unit 51 determines the period when the future deterioration state of the second energy storage element deviates from the specified reference (step S51). The control unit 51 determines the period when the future deterioration state deviates from the preset specified reference based on the estimation result of the future deterioration state obtained by the second estimation process. For example, the control unit 51 is based on Figure 8The life prediction chart indicating the deterioration state shown is used to calculate the period when the SOH value of the life prediction chart is equal to the preset SOH lower limit value.

[0161] After that, the control unit 51 executes the same processing as Figure 7 the flowchart shown. In step S37, the control unit 51 generates a screen representing the estimation result including the period (life prediction result) of deviating from the determined specified reference. For example, the control unit 51 can also display the determined life prediction result near Figure 8 the life prediction chart indicating the deterioration state shown.

[0162] In the above, the period when the future deterioration state of the second energy storage element deviates from the specified reference is determined. Alternatively, the information processing device 50 can also determine the period when the future deterioration state of the first energy storage element deviates from the specified reference.

[0163] According to this embodiment, it is possible to easily grasp the life of the energy storage element under the condition of continuing the current load and temperature, so that countermeasures corresponding to the life prediction result can be taken.

[0164] In the above embodiment, an example in which the information processing device 50 executes each process in the above flowchart is described. Alternatively, part or all of the above processes can also be executed by other processing entities such as the terminal device 60, the battery domain management device 30, and the server device 20.

[0165] It should be considered that the embodiments disclosed this time are illustrative in all aspects and not 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 claims and the scope equivalent to the claims.

[0166] The sequences shown in each embodiment are not limited. Within the scope without contradiction, the order of each processing process can be changed to execute, and multiple processes can also be executed in parallel. The processing entity of each process is not limited. Within the non - contradictory scope, the processing of each device can also be executed by other devices.

[0167] The matters described in each embodiment can be combined with each other. In addition, the independent claims and dependent claims described in the claims can be combined with each other regardless of the citation form. Furthermore, in the claims, a claim form (multiple - claim form) that describes a claim citing two or more other claims is used, but it is not limited to this. A multiple - claim form (multiple - claim - citing - multiple - claim form) that describes at least citing one multiple - claim can also be used for description.

[0168] Description of Reference Numerals

[0169] 100 Remote monitoring system (information processing 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 Battery domain management device; 40 Energy storage unit; 41 Battery pack; 42 Energy storage module; 43 Measurement substrate; 44 Battery management device; 50 Information processing device; 51 Control unit; 52 Storage unit; 53 Communication unit; 521 Program; 522 Measurement DB; 5A Recording medium; 60 Terminal device; 61 Control unit; 62 Storage unit; 63 Communication unit; 64 Display unit; 65 Operation unit.

Claims

1. An information processing method, wherein, obtain measurement data of a plurality of power storage elements; perform a first process for estimating a degradation state of the first power storage element group based on the measurement data of the first power storage element group selected from the plurality of power storage elements; extract a second power storage element that is an object of a second process from the plurality of power storage elements; and perform a second process for estimating a degradation state of the second power storage element based on the measurement data of the extracted second power storage element.

2. The information processing method according to claim 1, wherein, when an abnormality of the first power storage element group or the second power storage element is detected based on an estimation result according to the first process or the second process, output a warning message.

3. The information processing method according to claim 1 or claim 2, wherein, generate proposal information related to the operation of the plurality of power storage elements according to an estimation result according to the first process or the second process.

4. The information processing method according to claim 1 or claim 2, wherein, the first process or the second process includes a process for estimating a current degradation state and a process for estimating a future degradation state.

5. The information processing method according to claim 1 or claim 2, wherein, obtain a distribution of measurement data among the plurality of power storage elements; and extract the second power storage element based on the obtained distribution of the measurement data.

6. The information processing method according to claim 1 or claim 2, wherein, obtain a voltage distribution among the plurality of power storage elements based on the measurement data of the plurality of power storage elements; and extract a power storage element whose difference from an average value or a median value of voltages calculated based on the obtained voltage distribution is equal to or more than a specified value as the second power storage element.

7. The information processing method according to claim 1 or claim 2, wherein, extract any one of the power storage elements in the first power storage element group as the second power storage element according to an estimation result according to the first process.

8. The information processing method according to claim 1 or claim 2, wherein, the first power storage element group is selected based on a distribution of loads or temperatures of the plurality of power storage elements.

9. The information processing method according to claim 1 or claim 2, wherein, perform the first process based on the measurement data in a first period; and perform the second process based on the measurement data in a second period other than a specific period in the first period.

10. The information processing method according to claim 1 or claim 2, wherein, the number of the plurality of power storage elements is 1 million or more.

11. An information processing system, comprising: an obtaining unit that obtains measurement data of a plurality of power storage elements; a first processing unit that performs a first process for estimating a degradation state of the first power storage element group based on the measurement data of the first power storage element group selected from the plurality of power storage elements; an extraction unit that extracts a second power storage element that is an object of a second process from the plurality of power storage elements; and A second processing unit performs a second process for estimating the deterioration state of the second power storage element based on the measurement data of the extracted second power storage element.

12. A program for causing a computer to execute the following processes: Obtain measurement data of a plurality of power storage elements; Based on the measurement data of the first power storage element group selected from the plurality of power storage elements, perform a first process for estimating the deterioration state of the first power storage element group; Extract a second power storage element that is the object of the second process from the plurality of power storage elements; And Based on the measurement data of the extracted second power storage element, perform a second process for estimating the deterioration state of the second power storage element.

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