Information processing device, electrical storage device, information processing method, and program

By designing an information processing device, the current value time series data of the power storage device is corrected by using the correlation between different detection devices, the problem of low estimation accuracy in the prior art is solved, and high-precision power storage device state estimation is achieved.

CN119744354APending Publication Date: 2025-04-01GS YUASA INT LTD
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Patent Information

Application Number
CN202380053207.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Priority Date
2022-07-12
Filing Date
2023-06-21
Publication Date
2025-04-01

AI Technical Summary

Technical Problem

In the prior art, when estimating the behavior of power storage equipment using an equivalent circuit model, it is impossible to consider the errors between data detected by different detection devices with high accuracy, resulting in low estimation accuracy.

Method used

An information processing device is designed to eliminate errors by obtaining time series data of the current value of the power storage device detected by the first detection device and correcting based on the correlation relationship with the reference data detected by the second detection device.

Benefits of technology

By this method, the estimation accuracy can be improved and a high-precision capacity estimation result reflecting the state of the actual power storage equipment can be generated.

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Abstract

The information processing apparatus includes: an acquisition unit that acquires time-series data including a current value of a first power storage device detected by a first detection device; and a correction unit that corrects the acquired time-series data on the basis of the correlation between the time-series data acquired by the acquisition unit and reference time-series data including the current value of the second power storage device detected by the second detection device.
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Description

Technical Field

[0001] The present invention relates to an information processing apparatus, a power storage device, an information processing method, and a program.

[0002] As one method of estimating the behavior of an electric storage device, a method of estimating the behavior of an electric storage device such as SOC (State of Charge) by applying a Kalman filter to an equivalent circuit model representing the electric storage device by an electrical circuit is known (for example, see Patent Document 1).

[0003] Prior art literature

[0004] Patent Literature

[0005] Patent Document 1: Japanese Patent Application Publication No. 2016-065828 Summary of the invention

[0006] Problems to be solved by the invention

[0007] An equivalent circuit model is constructed to simulate the voltage behavior when current actually flows through the test storage device. In constructing the equivalent circuit model, detection data such as current and voltage detected by the test device are used. On the other hand, when using the constructed equivalent circuit model to estimate the behavior of the actual storage device, detection data such as current and voltage detected by the detection device of the storage device are used. In the case where the sensor accuracy of the detection device of the storage device is different from that of the test device, errors are generated between the obtained detection data, and therefore the behavior of the storage device cannot be estimated with high accuracy through the equivalent circuit model. In the prior art such as that described in Patent Document 1, such a viewpoint is not considered.

[0008] An object of the present disclosure is to provide an information processing device or the like capable of acquiring data in which an error between data in an electric storage device detected by a first detection device and reference data detected by a second detection device is taken into consideration.

[0009] Means for solving problems

[0010] An information processing device involved in one embodiment of the present disclosure includes: an acquisition unit that acquires time series data including a current value of a first power storage device detected by a first detection device; and a correction unit that corrects the acquired time series data based on a correlation between the time series data acquired by the acquisition unit and reference time series data including a current value of a second power storage device detected by a second detection device.

[0011] Effects of the Invention

[0012] According to the present disclosure, it is possible to acquire data that takes into account the error between the data in the power storage device detected by the first detection device and the reference data detected by the second detection device. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 It is a schematic diagram showing a configuration example of a power storage device on which the information processing device according to the present embodiment is mounted.

[0014] Figure 2 This is a block diagram illustrating the internal structure of an information processing device.

[0015] Figure 3 It is a functional block diagram showing a configuration example of an information processing device.

[0016] Figure 4 This is a diagram showing an example of current data.

[0017] Figure 5 This is a diagram showing an example of voltage data.

[0018] Figure 6 It is a diagram showing an example of SOC variation data.

[0019] Figure 7 This is a flowchart showing an example of a processing procedure executed by the information processing device.

[0020] Figure 8 This is a diagram for explaining the effect of the method according to this embodiment. DETAILED DESCRIPTION

[0021] The data used to construct the equivalent circuit model is obtained by measuring the current, voltage, temperature, etc. in the test power storage device using a test device. Usually, as a test device, a high-precision sensor device is used to detect data with relatively high accuracy. By using the data obtained with high accuracy, it is possible to construct an equivalent circuit model that simulates the behavior of the power storage device with high accuracy. In an actual power storage device, for example, the current, voltage, temperature, etc. are detected by a detection device mounted on the power storage device. In such a detection device, for example, due to differences in the accuracy of the detection device itself and the influence of noise, data with lower accuracy than the test device is often detected.

[0022] When the equivalent circuit model constructed using the data from the test device is directly applied to the data from the actual power storage device that has a deviation from the data from the test device, the actual state of the power storage device is not reflected, and a low-precision estimation result is obtained. When estimating based on the equivalent circuit model, it is necessary to consider the error between the data from the actual power storage device and the data from the test device.

[0023] Since the current value of the actual power storage device cannot be corrected when the actual power storage device is in operation, in order to accurately estimate the state based on the time series data, it is necessary to be able to appropriately correct it so that it is close to the current value of the test power storage device detected by the test device. The inventors of the present invention have found that there is a correlation between the data in the actual power storage device and the data in the test device. In addition, the inventors have found that the above-mentioned error can be eliminated by using this correlation.

[0024] (1) An information processing device according to one embodiment of the present disclosure comprises: an acquisition unit that acquires time series data including a current value of a first power storage device detected by a first detection device; and a correction unit that corrects the acquired time series data based on a correlation between the time series data acquired by the acquisition unit and reference time series data including a current value of a second power storage device detected by a second detection device.

[0025] Here, the first detection device may be a detection device provided in the first power storage device. The first power storage device is a power storage device to be estimated, and means a power storage device that is actually in use or scheduled to be used.

[0026] The second detection device is a detection device that detects the state of the second power storage device, and may be, for example, the above-mentioned test device. The second power storage device may be, for example, the above-mentioned test power storage device.

[0027] The first power storage device and the second power storage device may be the same power storage device or different power storage devices.

[0028] The reference time series data of the second power storage device detected by the second detection device is data intended to be widely used in various processes related to the generation of estimation means or estimation references for estimating the state of the first power storage device. The reference time series data may be intended, for example, to construct an equivalent circuit model.

[0029] Hereinafter, the time series data including the current value of the first power storage device detected by the first detection device is also referred to as pre-correction data. The reference time series data including the current value of the second power storage device detected by the second detection device is also referred to as reference data.

[0030] According to the above structure, the pre-correction data can be corrected (corrected) to eliminate the error generated between the pre-correction data and the reference data. By applying the obtained corrected data to the estimation means or estimation reference generated based on the reference time series data, the estimation accuracy can be improved. For example, by applying the corrected data to the equivalent circuit model, a high-precision capacity estimation reflecting the actual state of the first power storage device can be performed.

[0031] (2) In the information processing device described in (1) above, the correlation may be represented by a correlation function representing a relationship between a current value in the time series data and a current value in the reference time series data.

[0032] According to the information processing device described in (2) above, correction processing of the pre-correction data based on the correlation relationship defined as the correlation relationship becomes easy.

[0033] (3) In the information processing device described in (2) above, the correlation function may be a linear function.

[0034] According to the information processing device described in (3) above, it is possible to reduce the calculation cost of the correction process of the pre-correction data based on the correlation.

[0035] (4) In the information processing device described in any one of (1) to (3) above, the correction unit may correct the time series data so that the current value in the time series data related to the idle period of the first power storage device is close to the current value in the reference time series data related to the idle period of the second power storage device.

[0036] The so-called rest period refers to a period during which charging and discharging in the power storage device are not performed, which means a period corresponding to a static state. When charging and discharging are not performed, the current in and out of the power storage device does not occur, so the current value does not change. Therefore, the current value in the reference data with high sensor accuracy is approximately zero. On the other hand, in the pre-correction data, a small current value is also detected during the rest period. This small current value is continuously detected not only during the rest period, but also during other periods. The small current value becomes the cause of the error between the reference data and the pre-correction data.

[0037] According to the information processing device described in (4) above, correction is performed so that the pre-correction data in the idle period is close to the current value of the reference data in the idle period, that is, zero. Thus, the minute current in the pre-correction data can be removed. By using the data in the idle period in which only the minute current to be removed is generated and the minute current value can be easily analyzed, correction can be performed with high accuracy.

[0038] (5) In the information processing device described in any one of the above (1) to (4), it may also be provided with a setting unit, which sets definition information representing the relationship between the time series data and the reference time series data, and the correction unit corrects the time series data based on the correlation including the definition information set by the setting unit.

[0039] According to the information processing device described in (5) above, it is possible to appropriately set definition information indicating the relationship between the pre-correction data and the reference data during correction. The so-called relationship between the pre-correction data and the reference data means the correlation between the pre-correction data and the reference data. Changes in the state of the first power storage device, such as the ambient temperature or the number of years of use of the first power storage device, can be appropriately reflected in the correlation, and the correction accuracy of the pre-correction data can be improved.

[0040] (6) In the information processing device described in (5) above, the time series data may include a voltage value of the first power storage device, and the information processing device may include a determination unit that determines the idle period of the first power storage device based on the voltage value in the time series data, and the setting unit sets the definition information based on the time series data related to the idle period of the first power storage device determined by the determination unit.

[0041] During the above-mentioned idle period, the voltage value does not change regardless of the sensor accuracy. Therefore, according to the information processing device described in (6), the determination unit can easily and reliably determine the idle period in the pre-correction data by focusing on the voltage value of the pre-correction data. The setting unit can easily and appropriately set the definition information based on the current characteristics of the pre-correction data and the reference data during the above-mentioned idle period.

[0042] (7) In the information processing device described in (6) above, the setting unit may calculate time series data of the stored electricity based on the time series data, and set the definition information based on the calculated time series data of the stored electricity so as to minimize the difference between the stored electricity at a first moment during the idle period of the first storage device and the stored electricity at a second moment earlier than the first moment.

[0043] The stored power amount refers to the amount of energy stored in the first power storage device, and may be, for example, the state of charge (SOC: State of Charge) of the first power storage device or the total power amount.

[0044] According to the information processing device described in (7) above, the definition information is set so that the change in the amount of power stored in the pre-correction data during the rest period is close to the change in the amount of power stored in the baseline data during the rest period, that is, zero. By optimizing the definition information, a correlation relationship that well represents the correlation between the baseline data and the pre-correction data can be obtained.

[0045] (8) In the information processing device described in (6) or (7) above, the determination unit may determine, as the idle period, a period during which a change in voltage value is less than a specified value in a plurality of the first power storage devices connected to the same series circuit for a period of time exceeding a specified time.

[0046] According to the information processing device described in (8) above, by considering the voltage values ​​of the plurality of first power storage devices, it is possible to prevent the erroneous determination of the idle period due to, for example, a failure or malfunction of the detection device in a single first power storage device, thereby improving the accuracy of determining the idle period.

[0047] (9) The information processing device described in any one of (1) to (8) above may further include an estimating unit that estimates the capacity of the first power storage device by applying the corrected time series data to an estimation model constructed using the reference time series data.

[0048] The estimation model may be, for example, an equivalent circuit model. According to the information processing device described in (9) above, by applying the corrected data, the accuracy of the capacity estimation based on the estimation model can be improved.

[0049] (10) An electric storage device according to one aspect of the present disclosure includes the information processing device described in any one of (1) to (8) above.

[0050] (11) An information processing method according to one aspect of the present disclosure causes a computer to perform the following processing: obtaining time series data including a current value of a first power storage device detected by a first detection device, and correcting the obtained time series data based on a correlation between the time series data and reference time series data including a current value of a second power storage device detected by a second detection device.

[0051] (12) A program according to one aspect of the present disclosure causes a computer to execute the following processing: obtaining time series data including a current value of a first power storage device detected by a first detection device, and correcting the obtained time series data based on a correlation between the time series data and reference time series data including a current value of a second power storage device detected by a second detection device.

[0052] Hereinafter, the present disclosure will be described in detail with reference to the accompanying drawings showing embodiments of the present disclosure.

[0053] Figure 1: is a schematic diagram showing a structural example of an electric storage device 1 equipped with an information processing device 3 involved in the present embodiment. The electric storage device 1 is, for example, a lithium-ion battery whose electrolyte is a liquid. As an alternative, the electric storage device 1 may also be any battery such as a laminated type (pouch type) lithium-ion battery, a lithium-ion battery whose electrolyte is an ion liquid, a lithium-ion battery whose electrolyte is a gel (gel)-like battery, an all-solid lithium-ion battery, a bipolar lithium-ion battery (a battery whose electrodes are electrically connected in series), a zinc-air battery, a sodium-ion battery, a lead battery, etc. The electric storage device 1 may also be a single battery cell (cell), a module in which a plurality of battery cells are connected in series and / or in parallel, a battery pack (bank) in which a plurality of modules are connected in series, a battery domain (domain) in which a plurality of battery packs are connected in parallel, etc.

[0054] The power storage device 1 is used, for example, as a power source for storing power generated by renewable energy or existing power generation systems. Alternatively, the power storage device 1 may also be used in uninterruptible power supplies, DC or AC power supplies included in stabilized power supplies, power supplies for electronic devices, power supplies for automobiles, and the like.

[0055] The power storage device 1 includes a detection device 2 which is a flat circuit substrate and an information processing device 3. The detection device 2 includes a current sensor 21, a voltage sensor 22, and a temperature sensor 23 (see Figure 2 The current sensor 21 detects the current flowing through the power storage device 1. The voltage sensor 22 detects the voltage between the terminals of the power storage device 1. The temperature sensor 23 detects the temperature of the power storage device 1.

[0056] The information processing device 3 obtains the time series data including the data related to the current, the data related to the voltage, and the data related to the temperature of the power storage device 1 by acquiring each detection value detected by the detection device 2 at any time. The time series data of the current, the voltage, and the temperature of the power storage device 1 detected by the detection device 2 corresponds to the pre-correction data. The information processing device 3 generates the corrected data suitable for input to the equivalent circuit model by performing the correction processing described later on the obtained pre-correction data.

[0057] Figure 1An example is shown in which the detection device 2 and the information processing device 3 are arranged on the top of the power storage device 1. As an alternative, the installation position may be either the side of the power storage device 1 or the bottom of the power storage device 1. The information processing device 3 may also be arranged isolated from the power storage device 1. The shapes of the detection device 2 and the information processing device 3 are not limited to the flat plate shape. The information processing device 3 may be arranged in a BMU (Battery Management Unit) or in a remotely arranged server device. In the latter case, the detection value of the power storage device 1 can be sent to the server device through communication.

[0058] Figure 2 2 is a block diagram for explaining the internal structure of the information processing device 3. The information processing device 3 includes a control unit 31, a storage unit 32, an input unit 33, and an output unit 34, for example.

[0059] The control unit 31 is a computing circuit including a CPU (Central Processing Unit), a ROM (Read Only Memory), and a RAM (Random Access Memory). The CPU included in the control unit 31 executes various computer programs stored in the ROM and the storage unit 32, and controls the operation of the above-mentioned hardware components, thereby making the entire device function as the information processing device of the present disclosure. The control unit 31 may also have functions such as a timer for measuring the elapsed time from providing a measurement start instruction to providing a measurement end instruction, a counter for counting the number, and a clock for outputting date and time information.

[0060] The storage unit 32 includes a nonvolatile storage device such as a flash memory. The storage unit 32 stores programs and data referred to by the control unit 31. The programs stored in the storage unit 32 include a program 321 for causing a computer to execute processing related to the generation of corrected data.

[0061] The storage unit 32 stores data used in the execution of the program 321, such as the correlation between the pre-correction data and the reference data, an estimation model for capacity estimation, etc. In the present embodiment, the correlation is a linear function, and the storage unit 32 stores a formula representing the linear function and a formula for calculating parameters in the linear function, etc.

[0062] The computer program (program product) including the program 321 can also be provided by a non-temporary recording medium 3A that can read and record the computer program. The recording medium 3A is a portable memory such as a CD-ROM, a USB memory, or an SD (Secure Digital) card. The control unit 31 uses a reading device not shown in the figure to read the desired computer program from the recording medium 3A and stores the read computer program in the storage unit 32. Alternatively, the above-mentioned computer program can also be provided through communication. The program 321 can be a single computer program or a plurality of computer programs. In addition, it can be executed on a single computer or on a plurality of computers connected to each other through a communication network.

[0063] The input unit 33 includes an interface for connecting to the detection device 2. The control unit 31 obtains the current value detected by the current sensor 21, the voltage value detected by the voltage sensor 22, and the temperature detected by the temperature sensor 23 via the input unit 33 at any time.

[0064] The output unit 34 has an interface for connecting to the display device 4. In one example of the display device 4, when an estimation result including the above-mentioned corrected data or the estimated capacity using the corrected data is obtained, the control unit 31 as a liquid crystal display device outputs information based on the obtained estimation result from the output unit 34 to the display device 4. The display device 4 displays the estimation result based on the information output from the output unit 34.

[0065] Alternatively, the output unit 34 may also include a communication interface for communicating with an external device. The external device that can be communicatively connected to the output unit 34 is a terminal device such as a personal computer or a smart phone used by a user, an administrator, etc. When the estimation result is obtained, the control unit 31 sends information based on the estimation result from the output unit 34 to the terminal device. The terminal device receives the information sent from the output unit 34, and displays the estimation result on a display of the device based on the received information. Alternatively, the terminal device may also use the estimation result to perform other control, prediction / estimation.

[0066] The corrected data generated by the information processing device 3 is described. The time series data (pre-correction data) of the current, voltage and temperature of the power storage device 1 detected by the detection device 2 is input into the equivalent circuit model, for example, and used for estimating the capacity of the power storage device 1. On the other hand, as described above, the equivalent circuit model is constructed using the time series data (reference data) of the current, voltage and temperature of the test power storage device detected by the detection device in the test device. In order to improve the estimation accuracy based on the equivalent circuit model, it is necessary to correct the pre-correction data whose sensor accuracy is lower than the reference data, and generate true data from which the error caused by the difference in sensor accuracy is removed.

[0067] According to the knowledge of the inventors of the present invention, if the current value I in the data before correction is mod Compared with the current value I in the benchmark data cdm If the correlation relationship is functionalized, the linear function expressed by the following formula (1) holds.

[0068] I cdm =a×I mod +b…(1)

[0069] The parameter a and the parameter b in the formula (3) are parameters that can be changed according to the state of the power storage device 1. The parameter a and the parameter b are set every time the corrected data is generated. The details of the method of setting the parameter a and the parameter b will be described later.

[0070] By using the above formula (1) to correct the current value I mod , can generate the current value I mod The real data containing the errors, that is, the corrected data.

[0071] Figure 3 3 is a functional block diagram showing a configuration example of the information processing device 3. The control unit 31 of the information processing device 3 reads out and executes the program 321 stored in the storage unit 32, and functions as an acquisition unit 311, a determination unit 312, a setting unit 313, a correction unit 314, an estimation unit 315, and a result output unit 316.

[0072] The acquisition unit 311 receives the detection values ​​detected by the detection device 2 in time series order via the input unit 33, and acquires time series data of the current value, voltage value, and temperature of the power storage device 1. The time series data acquired by the acquisition unit 311 corresponds to pre-correction data.

[0073] Figure 4 is a diagram showing an example of current data, Figure 5 This is a diagram showing an example of voltage data. Figure 4 The horizontal axis of the curve graph shown is time (s), and the vertical axis is current (A). In the vertical axis, the positive side represents charging, and the negative side represents discharging. The acquisition unit 311 acquires Figure 4 Time series current data as shown. Figure 5 The horizontal axis of the graph shown is time (s), and the vertical axis is voltage (V). The acquisition unit 311 acquires Figure 5 Time series voltage data as shown.

[0074] here, Figure 4 The curve shown on the lower side is Figure 4 The figure is obtained by enlarging the rectangular area in the curve graph shown on the upper side of . Figure 4As shown below, a small current value is detected even during a period when charging and discharging are not performed in the power storage device 1. In the reference data having a higher accuracy than the pre-correction data, such a small current value is hardly detected during a period when charging and discharging are not performed. The information processing device 3 removes the above-mentioned small current value in the pre-correction data through the correction processing described later, thereby generating the corrected data corresponding to the sensor accuracy equivalent to the reference data.

[0075] Furthermore, the acquisition unit 311 calculates the time series data of the stored electricity based on the acquired time series data of the current. Hereinafter, the case where the SOC is calculated as the stored electricity will be described as an example.

[0076] The SOC can be obtained by current integration, and can be calculated by the following formula (2), for example.

[0077] [Mathematical formula 1]

[0078]

[0079] In formula (2), SOC i For this SOC, SOC i-1 is the last SOC, FCC is the full discharge capacity, and I is the current value.

[0080] The acquisition unit 311 also calculates the time series data of the SOC variation. i Subtract SOC i-1 And get.

[0081] Figure 6 It is a diagram showing an example of SOC variation data. Figure 6 The horizontal axis of the graph shown is time (s), and the vertical axis is SOC change (%). Figure 6 Time series SOC variation data as shown.

[0082] In the above, SOC is calculated as the stored electricity. Instead, the stored electricity may be the total electricity. In this case, the acquisition unit 311 may also calculate the time series data of the total electricity by setting the total electricity at the initial moment to zero. The time series data acquired by the acquisition unit 311 is output to the determination unit 312, the setting unit 313, and the correction unit 314.

[0083] The determination unit 312 determines the idle period in the power storage device 1 based on the time series data of the voltage acquired by the acquisition unit 311. The determination unit 312 may, for example, determine a period during which a predetermined time (e.g., 3600 seconds) or more has passed and the amount of change in the voltage value is less than a predetermined value (e.g., 0.001 (V)) as the idle period, but the present invention is not limited thereto. When the non-use time period of the power storage device 1 is known, the non-use time period may be set in advance as the idle period.

[0084] The determination unit 312 extracts the rest time satisfying the above-mentioned condition from each detection time included in the period to be determined, and determines the period including the extracted rest time as the rest period. Figure 5 as well as Figure 6 In the graph of , the black circle marks indicate the rest time. Information indicating the rest period determined by the determination unit 312 is output to the setting unit 313.

[0085] When a plurality of power storage devices 1 are provided close to each other, the suspension period may be determined based on the voltage values ​​of the plurality of power storage devices 1 connected to the same series circuit. The determination unit 312 may extract a period commonly determined as the suspension period in at least two or more power storage devices 1 including the power storage device 1 to be corrected.

[0086] The setting unit 313 sets (optimizes) the parameter a and the parameter b in the above equation (3) based on the idle period determined by the determination unit 312 and the pre-correction data acquired by the acquisition unit 311 so as to eliminate the current value detected during the idle period.

[0087] Specifically, the parameters a and b are optimized so as to minimize the sum ε represented by the following equation (3). The setting unit 313 may optimize the parameters a and b using a genetic algorithm, a gradient method, or the like, but is not limited thereto.

[0088] [Mathematical formula 2]

[0089]

[0090] In formula (3), ΔSOCi is the absolute value of the difference between the SOC change at the rest time and the SOC change at the moment before (past) the rest time. ΔQi is the absolute value of the difference between the total power at the rest time and the total power at the moment before the rest time. FCC is the full discharge capacity. I' is the current value after correction, and I is the current value before correction.

[0091] The setting unit 313 calculates the absolute value (ΔSOCi) of the difference between the SOC change at the rest time and the SOC change at the time before the rest time for each rest time included in the rest period based on the time series data of the SOC change acquired by the acquisition unit 311. The setting unit 313 obtains the parameter a and the parameter b that minimize the sum ε of the absolute values ​​ΔSOCi of the differences at each rest time calculated. The parameter a and the parameter b that minimize the sum ε are set as parameters for generating the corrected data.

[0092] When the total power is used as the storage power, the setting unit 313 may optimize the parameters a and b so as to minimize the sum of the absolute values ​​ΔQi of the total power differences. The parameters a and b set by the setting unit 313 are output to the correction unit 314 .

[0093] According to the above-described processing, the parameters a and b are set so that the current value in the pre-correction data related to the idle period approaches the current value in the reference data related to the idle period, that is, zero.

[0094] The correction unit 314 substitutes the parameter a and parameter b received from the setting unit 313 and the current value in the pre-correction data received from the acquisition unit 311 into the above-mentioned formula (1), performs the operation processing of the formula (1), and calculates the current value as the corrected data. By sequentially performing the operation on each current value in the pre-correction data, the corrected data including the time series current data with the error removed is obtained. The corrected data generated by the correction unit 314 is output to the estimation unit 315. The corrected data can also be output to the output unit.

[0095] The estimation unit 315 estimates the battery capacity of the power storage device 1 by inputting the corrected data received from the correction unit 314 into the equivalent circuit model. Alternatively, the estimation model may be a model for estimating the SOC of the power storage device 1, a model for estimating the charge and discharge characteristics, a life prediction model, etc. The estimation unit 315 applies the corrected data to the estimation model to estimate the state of the power storage device 1. The battery capacity estimated by the estimation unit 315 is output to the result output unit 316.

[0096] The result output unit 316 outputs the estimation result indicating the battery capacity received from the estimation unit 315 to the display device 4 via the output unit 34. The result output unit 316 may output the corrected data received from the correction unit 314 as the estimation result.

[0097] The above-mentioned correction processing may be performed using the time series data of the entire period from the start time of acquiring the time series data in the power storage device 1 to the current time (correction processing time). The correction processing may also be performed using the time series data of the period from the reference time set after the start time to the current time. That is, the period of the time series data to be corrected may be the entire period or a specified period (for example, half a year, one year, etc.).

[0098] In the above, an example is described in which the setting of the parameters a and b is performed using the data of all the rest times included in the rest period in the time series data to be corrected. Alternatively, the parameters a and b may be set using only the data of the rest times that meet the prescribed conditions among the rest time data. As prescribed conditions, for example, the temperature at the rest time is within a preset temperature range, the rest time is within the current time to the past 3 months, and the like.

[0099] In the above, the correlation between the pre-correction data and the reference data is defined by a linear function including two parameters. Alternatively, the correlation may be defined by other functional expressions such as a quadratic function or a polynomial, or may be defined by other than a functional expression. In addition, the function system may be arbitrarily selected and changed according to the accuracy and tendency of the current sensor 21 or the detection device 2 in the power storage device 1.

[0100] Figure 7 3 is a flowchart showing an example of a processing procedure performed by the information processing device 3. The processing in each of the following flowcharts can be performed by the control unit 31 according to the program 321 stored in the storage unit 32 of the information processing device 3, or can be implemented by a dedicated hardware circuit (such as FPGA or ASIC) provided in the control unit 31, or can be implemented by a combination of them.

[0101] The control unit 31 of the information processing device 3 obtains the time series data (pre-correction data) of the current value, voltage value, and temperature of the power storage device 1 detected by the detection device 2 (step S11). The control unit 31 calculates the time series data of the SOC by integrating the current based on the current value in the obtained pre-correction data, and obtains the time series data of the SOC variation based on the calculated time series data of the SOC (step S12).

[0102] The control unit 31 determines the idle period in the power storage device 1 based on the voltage value in the acquired pre-correction data (step S13). The control unit 31 may extract, for example, the time when the change in the voltage value in the pre-correction data is less than a predetermined value after a predetermined time has passed as the time corresponding to the idle period.

[0103] In step S13, the control unit 31 may determine the suspension period based on the voltage values ​​of the plurality of power storage devices 1. When a predetermined condition is set when determining the suspension period, the control unit 31 may determine the suspension period including only suspension times satisfying the predetermined condition.

[0104] The control unit 31 sets the parameter a and the parameter b based on the pre-correction data related to the determined rest period (step S14). The control unit 31 optimizes the parameter a and the parameter b to minimize the amount of electricity generated by the small current value in the pre-correction data related to the rest period. Specifically, the control unit 31 optimizes the parameter a and the parameter b by a method such as a genetic algorithm or a gradient method to minimize the sum ε represented by the above formula (3).

[0105] The control unit 31 uses the set parameters a and b to correct the current value in the time series data obtained in step S11 according to the correlation function expressed by the above formula (1) (step S15). The control unit 31 obtains the time series data including the corrected current value (corrected data). The control unit 31 calculates the corrected current value by substituting the parameters a, b, and the current value in the data before correction into the above formula (1).

[0106] The control unit 31 estimates the state of the power storage device 1, such as the battery capacity, by inputting the acquired corrected data into the estimation model (step S16). The control unit 31 outputs the estimation result including the estimated battery capacity and corrected data to the display device 4 (step S17), and ends the series of processing.

[0107] According to this embodiment, one of the detection data can be corrected to eliminate the error generated between different detection data and approach the other detection data that serves as a reference.

[0108] Figure 8 This is a diagram for explaining the effect of the method according to this embodiment. Figure 8 A is a graph showing the estimation result of the charge and discharge characteristics when the current data (pre-correction data) that has not been corrected by the method of the present embodiment is used. Figure 8 B is a graph showing the estimation result of the charge and discharge characteristics when the current data (corrected data) corrected by the method of the present embodiment is used. Figure 8 A and Figure 8 In the graph shown in B, the horizontal axis represents SOC (%) and the vertical axis represents voltage (V). Figure 8 A and Figure 8 The solid line in the graph shown in B represents the actual estimation result, and the dotted line represents the SOC-voltage curve generated based on the estimation result.

[0109] When the current data is not corrected, the SOC value in the charge-discharge characteristics shifts within a range of about -100% to about 50%, resulting in an estimated result that the charge direction is shifted. When the current data is corrected, the SOC shifts within a more appropriate range of SOC values ​​compared to the case where the current data is not corrected. By using the corrected data based on the method of this embodiment, the estimation accuracy of the capacity can be improved.

[0110] The embodiments disclosed herein are illustrative in all respects and should not be construed as limiting. The technical features described in the embodiments can be combined with each other, and the scope of the present invention is intended to include all changes in the claims and the scope equivalent to the claims.

[0111] The sequence shown in each embodiment is not limited, and each process can be executed in a different order within the scope of no contradiction, and multiple processes can be executed in parallel. The processing subject of each process is not limited, and other devices can also execute the processing of each device within the scope of no contradiction.

[0112] 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 in all combinations regardless of the reference form. Furthermore, the form of a claim that records citing two or more other claims (multiple reference claim form) is used in the claims, but it is not limited to this. It can also be recorded in the form of a multiple reference claim (multiple reference multiple claim) that records citing at least one multiple reference claim.

[0113] Description of Reference Numerals

[0114] 1 power storage device; 2 detection device; 3 information processing device; 31 control unit; 32 storage unit; 321 program; 3A recording medium; 311 acquisition unit; 312 determination unit; 313 setting unit; 314 correction unit; 315 estimation unit; 316 result output unit.

Claims

1. An information processing device comprising: an acquisition unit that acquires time series data including a current value of a first power storage device detected by a first detection device; and The correction unit corrects the acquired time-series data based on a correlation between the time-series data acquired by the acquisition unit and reference time-series data including a current value of the second power storage device detected by the second detection device.

2. The information processing device according to claim 1, wherein: The correlation relationship is represented by a correlation function representing a relationship between a current value in the time series data and a current value in the reference time series data.

3. The information processing device according to claim 2, wherein: The correlation function is a linear function.

4. The information processing device according to claim 1 or claim 2, wherein: The correction unit corrects the time-series data so that a current value in the time-series data related to a stop period of the first power storage device approaches a current value in the reference time-series data related to a stop period of the second power storage device.

5. The information processing device according to claim 1 or claim 2, comprising: a setting unit that sets definition information indicating a relationship between the time series data and the reference time series data, The correction unit corrects the time-series data based on the correlation relationship including the definition information set by the setting unit.

6. The information processing device according to claim 5, wherein: The time series data includes a voltage value of the first power storage device, The information processing device includes a determination unit that determines a suspension period of the first power storage device based on a voltage value in the time series data. The setting unit sets the definition information based on the time series data regarding the idle period of the first power storage device determined by the determination unit.

7. The information processing device according to claim 6, wherein: The setting unit calculates time series data of the stored electricity based on the time series data. The definition information is set based on the calculated time series data of the stored electricity amount so as to minimize a difference between a stored electricity amount at a first time during a rest period of the first power storage device and a stored electricity amount at a second time before the first time.

8. The information processing device according to claim 6, wherein: The determination unit determines, as a pause period, a period during which a change in voltage value is less than a predetermined value for a predetermined time period or longer among the plurality of first power storage devices connected to the same series circuit.

9. The information processing device according to claim 1 or claim 2, comprising: An estimating unit estimates a capacity of the first power storage device by applying the corrected time series data to an estimation model constructed using the reference time series data. 10 . An electric storage device comprising the information processing device according to claim 1 or 2.

11. An information processing method, which is used to make a computer perform the following processing: acquiring time series data including a current value of a first power storage device detected by a first detection device; and The acquired time series data is corrected based on a correlation between the time series data and reference time series data including the current value of the second power storage device detected by the second detection device.

12. A program for causing a computer to execute the following processing: acquiring time series data including a current value of a first power storage device detected by a first detection device; and The acquired time series data is corrected based on a correlation between the time series data and reference time series data including the current value of the second power storage device detected by the second detection device.

Citation Information

Patent Citations

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    JP2016065828A