Information processing system, information processing method and program

Abstract

To provide an information processing system.SOLUTION: In an acquisition step, operation history data about an operation history of a power storage device is acquired. The operation history data includes time series data about an electric parameter of the power storage device while the power storage device operates, and the electric parameter includes at least voltage or SOC, and current of the power storage device. In a section specification step, a plurality of specific sections are specified from the operation history data. Each of the specific sections is a section in which the voltage or the SOC of the power storage device reaches an end value from a predetermined start value, and the voltage or the SOC of the power storage device is configured so as to include a first time reaching a predetermined first value. In an output step, a sectional capacity in the specific section is output if the specific section satisfies a first determination condition. The first determination condition is determined on the basis of a set composed of first determination currents being currents when the voltage or the SOC reaches the first value in the specific section.SELECTED DRAWING: Figure 1

Description

[Technical field]

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

[0002] Patent Document 1 discloses a technique that can calculate deterioration characteristics while shortening the test period of a battery. Specifically, a server according to the technique described in Patent Document 1 acquires at least one deterioration characteristic calculation model of a storage battery based on a test, acquires operation data of the storage battery after the test, acquires the deterioration degree of the storage battery in the operation data, inputs the operation data into the at least one deterioration characteristic calculation model to calculate at least one deterioration coefficient, inputs the operation data into a deterioration degree calculation model for calculating the deterioration degree of the storage battery, calculates the deterioration degree using the calculated at least one deterioration coefficient, adjusts the at least one deterioration characteristic calculation model so that the calculated deterioration degree approaches the acquired deterioration degree, calculates at least one deterioration characteristic using the adjusted at least one deterioration characteristic calculation model, and outputs the calculated at least one deterioration characteristic. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Patent Publication No. 2022-18264 Summary of the Invention [Problem to be solved by the invention]

[0004] In order to improve various performances related to battery control, such as improving the reliability of such deterioration characteristics, relatively reliable data on section capacity is required. [Means for solving the problem]

[0005] According to one aspect of the present invention, an information processing system is provided. The information processing system includes at least one processor capable of executing a program to perform the following steps. In the acquisition step, operation history data relating to the operation history of the power storage device is acquired. The operation history data includes time-series data regarding electrical parameters of the power storage device while the power storage device is operating, and the electrical parameters include at least the voltage or SOC and current of the power storage device. In the section identification step, a plurality of specific sections are identified from the operation history data. Each of the specific sections is a section from a predetermined start value to an end value of the voltage or SOC of the power storage device, and is configured to include a first time when the voltage or SOC of the power storage device reaches a predetermined first value. In the output step, if the specific section satisfies a first judgment condition, the section capacity in the specific section is output. The first judgment condition is determined based on a set configured of first judgment currents of each of the plurality of specific sections, and the first judgment current is a current when the voltage or SOC reaches the first value in the specific section.

[0006] According to this configuration, it is possible to preferentially obtain a section capacity that is relatively reliable from among certain operation history data. [Brief description of the drawings]

[0007] [Figure 1] 1 is a configuration diagram illustrating an information processing system 1. [Diagram 2] 2 is a block diagram showing a hardware configuration of an information processing device 2. FIG. [Diagram 3] FIG. 2 is a block diagram showing a hardware configuration of a user terminal 3. [Figure 4] FIG. 2 is a diagram showing a hardware configuration of a drive device 4. [Diagram 5] FIG. 2 is a diagram illustrating an example of a functional unit included in a processor 23. [Figure 6] FIG. 2 is a diagram showing an example of the configuration of operation history data D1. [Figure 7] 13 is a diagram showing an example of time-series data on the voltage of a certain power storage device 421, included in the operation history data D1. FIG. [Figure 8] 11 is a diagram showing the relationship of a start current value I1 and an end current value I2 to a section capacity. FIG. [Figure 9] 4 is a flowchart showing an example of the flow of information processing executed in the information processing system 1. [Figure 10] 13 is a diagram showing time-series data of section capacity obtained from operation history data D1. FIG. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0008] DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, embodiments of the present invention will be described with reference to the drawings. Various characteristic features shown in the following embodiments can be combined with each other.

[0009] Incidentally, the program for realizing the software appearing in this embodiment may be provided as a non-transitory computer-readable recording medium, or may be provided so as to be downloadable from an external server, or may be provided so that the program is started on an external computer and its functions are realized on a client terminal (so-called cloud computing).

[0010] In addition, in this embodiment, the term "unit" may include, for example, a combination of hardware resources implemented by a circuit in the broad sense and software information processing that can be specifically realized by these hardware resources. In addition, in this embodiment, various information is handled, and this information is represented, for example, by physical values ​​of signal values ​​representing voltage and current, high and low signal values ​​as a binary bit collection consisting of 0 or 1, or quantum superposition (so-called quantum bits), and communication and calculation can be performed on the circuit in the broad sense.

[0011] In addition, a circuit in the broad sense is a circuit realized by at least appropriately combining a circuit, circuitry, a processor, a memory, etc. In other words, it includes an application specific integrated circuit (ASIC), a programmable logic device (e.g., a simple programmable logic device (SPLD), a complex programmable logic device (CPLD), and a field programmable gate array (FPGA)), etc.

[0012] 1. Hardware Configuration This section describes the hardware configuration.

[0013] <Information Processing System 1> FIG. 1 is a configuration diagram showing an information processing system 1. The information processing system 1 includes an information processing device 2, a user terminal 3, a drive device 4, and a database DB1. The information processing device 2, the user terminal 3, and the database DB1 are configured to be able to communicate with each other via a telecommunications line. In one embodiment, the information processing system 1 is made up of one or more devices or components. For example, if the information processing system 1 is made up of only the information processing device 2, the information processing system 1 can be the information processing device 2. These components will be described below.

[0014] <Database DB1> The database DB1 is configured to be able to accumulate various information such as section capacity output from the information processing device 2.

[0015] <Information processing device 2> 2 is a block diagram showing a hardware configuration of the information processing device 2. The information processing device 2 includes a communication unit 21, a storage unit 22, and a processor 23, and these components are electrically connected via a communication bus 20 inside the information processing device 2. Each component will be further described.

[0016] The communication unit 21 is preferably a wired communication means such as USB, IEEE1394, Thunderbolt (registered trademark), wired LAN network communication, etc., but may also include wireless LAN network communication, mobile communication such as 3G / LTE / 5G, BLUETOOTH (registered trademark) communication, etc. as necessary. In other words, it is more preferable to implement it as a collection of multiple communication means. In other words, the information processing device 2 may communicate various information from the outside via the communication unit 21 and the network.

[0017] The storage unit 22 stores various information defined by the above description. This can be implemented, for example, as a storage device such as a solid state drive (SSD) that stores various programs and the like related to the information processing device 2 executed by the processor 23, or as a memory such as a random access memory (RAM) that stores temporarily required information (arguments, arrays, etc.) related to the program calculations. The storage unit 22 stores various programs, variables, etc. related to the information processing device 2 executed by the processor 23.

[0018] The processor 23 processes and controls the overall operations related to the information processing device 2. The processor 23 is, for example, a central processing unit (CPU) not shown. The processor 23 realizes various functions related to the information processing device 2 by reading out a predetermined program stored in the storage unit 22. That is, information processing by software stored in the storage unit 22 can be specifically realized by the processor 23, which is an example of hardware, and executed as each functional unit included in the processor 23. These will be described in more detail in the next section. The processor 23 is not limited to being single, and may be implemented with multiple processors 23 for each function. Also, a combination of these may be used.

[0019] <User terminal 3> 3 is a block diagram showing a hardware configuration of the user terminal 3. The user terminal 3 includes a communication unit 31, a storage unit 32, a processor 33, a display unit 34, and an HMI device 35, and these components are electrically connected via a communication bus 30 inside the user terminal 3. Descriptions of the communication unit 31, the storage unit 32, and the processor 33 are omitted because they are similar to the descriptions of the respective units in the information processing device 2.

[0020] The display unit 34 may be included in the housing of the user terminal 3 or may be externally attached. The display unit 34 displays a screen of a graphical user interface (GUI) that can be operated by the user. This is preferably implemented by using display devices such as a CRT display, a liquid crystal display, an organic EL display, and a plasma display according to the type of the user terminal 3.

[0021] The HMI device 35 is a human-machine interface device. The HMI device 35 may be included in the housing of the user terminal 3, or may be externally attached. For example, the HMI device 35 may be implemented as a touch panel integrated with the display unit 34. If it is a touch panel, the user can input a tap operation, a swipe operation, or the like. Of course, instead of the touch panel, a switch button, a mouse, a QWERTY keyboard, a voice recognition device, a gesture detection device, a gaze detection device, a biosignal detection device, an imaging device, or the like may be adopted. That is, the HMI device 35 accepts an operation input made by a user. In response, the HMI device 35 transfers a signal corresponding to the operation input to the processor 33 via the communication bus 30. The processor 33 can execute a predetermined control or calculation as necessary. It can be said that the HMI device 35 includes an input unit configured to be able to accept an input from a user.

[0022] <Driver 4> 4 is a diagram showing a hardware configuration of the drive device 4. The drive device 4 is configured to be driven by electric power, and is, for example, an electric vehicle (EV), etc. The drive device 4 includes a drive unit 41, an electricity storage unit 42, and a measurement unit 43.

[0023] The drive unit 41 is a drive source for driving the drive device 4 using electric power, and includes, for example, an electric motor that can be operated by electric power.

[0024] The power storage unit 42 is configured to be capable of charging and discharging electric power. The electric power discharged from the power storage unit 42 is supplied to the drive unit 41. This allows the drive unit 41 to be driven. The power storage unit 42 includes at least one (more specifically, a plurality of) power storage devices 421 and one battery management system (BMS) 422.

[0025] The power storage device 421 is a secondary battery that can be charged and discharged via its positive and negative electrodes, and may be any battery that can be charged and discharged, such as a lead storage battery, a nickel-cadmium storage battery, a lithium-ion storage battery, an air battery, etc. The multiple power storage devices 421 are connected in series with each other, and are configured to be able to output a specified voltage as a whole.

[0026] The BMS 422 is configured to detect the state of the power storage device 421. The BMS 422 is configured to be able to measure parameters representing the state of each power storage device 421, such as the voltage, current, and temperature of each power storage device 421, as time-series data. The value of each parameter is associated with time information. The BMS 422 is also configured to be able to measure or estimate indexes representing the state of the power storage device 421, such as the state of charge (SOC) and state of health (SOH), based on the measurement results. The information measured or estimated by the BMS 422 is transmitted to the information processing device 2, etc.

[0027] The measuring unit 43 is configured to be able to measure environmental information related to the external environment of the power storage device 421. The environmental information may include, for example, the temperature, humidity, and absolute time (year, month, date, etc.) outside the drive device 4. Hereinafter, for convenience of explanation, the temperature represented by the environmental information is referred to as the environmental temperature. Note that the measuring unit 43 may be provided independently of the drive device 4.

[0028] 2. Functional configuration of information processing device 2 Fig. 5 is a diagram showing an example of functional units included in the processor 23. As shown in Fig. 5, the processor 23 includes an acquisition unit 231, an identification unit 232, a calculation unit 233, a determination unit 234, an output unit 235, and an estimation unit 236. In this section, an overview of these functional units will be described. Details of each functional unit will be described together with information processing described later.

[0029] The acquisition unit 231 is configured to be able to acquire information from the user terminal 3 or other devices. The acquisition unit 231 is configured to be able to acquire various pieces of information by reading out various pieces of information stored in a storage area that is at least a part of the memory unit 22 and writing the read out information in a working area that is at least a part of the memory unit 22. The storage area is, for example, an area of ​​the memory unit 22 that is implemented as a storage device such as an SSD. The working area is, for example, an area that is implemented as a memory such as a RAM. Note that acquisition by the acquisition unit 231 includes acquiring output results of each functional unit included in the processor 23.

[0030] The identifying unit 232 is configured to be able to identify various pieces of information based on the results of acquisition by the acquiring unit 231 and the like.

[0031] The calculation unit 233 is configured to be able to calculate various pieces of information based on the results of acquisition by the acquisition unit 231 and the like.

[0032] The determination unit 234 performs various determinations based on the calculation results of the calculation unit 233 and the like.

[0033] The output unit 235 outputs the calculation result of the calculation unit 233 based on the determination result of the determination unit 234 to the database DB1 or the like.

[0034] Estimation unit 236 is configured to be able to estimate a model relating to the deterioration characteristics of power storage device 421 based on the output result of output unit 235 and the like.

[0035] The processor 23 may be configured to be able to display various information. The information can be presented to the user via the display unit 34 of the user terminal 3 or another device. In such a case, for example, the processor 23 controls the display unit 34 of the user terminal 3 to display visual information such as a screen, an image including a still image or a video, an icon, a message, etc. The processor 23 may generate only rendering information for displaying the visual information on the user terminal 3. The processor 23 may present the output information to the user without going through the user terminal 3 or another device user.

[0036] 3. Information processing This section describes information processing executed in the above-mentioned information processing system 1. In one embodiment, this information processing is used, for example, to calculate the section capacity of at least one power storage device 421 based on operation history data D1 while the power storage device 421 is operating to drive the drive device 4, and to output a reliable section capacity among the calculated section capacities. Also, in one embodiment, this information processing is used to obtain a model for estimating a capacity deterioration rate based on the calculation result of the output section capacity.

[0037] 3.1. About operation history data D1 First, an example of the operation history data D1 will be described. FIG. 6 is a diagram showing an example of the configuration of the operation history data D1. The operation history data D1 includes information on voltage, SOC, current, battery temperature, and environmental temperature. These pieces of information are associated with information on time (HH:MM:SS) in the operation history data D1. The time, voltage, SOC, current, and battery temperature are measured by the BMS 422. The environmental temperature is measured by the measurement unit 43. The time may be a relative time counted by the BMS 422 or an absolute time specified by an external element such as the measurement unit 43. When the absolute time is used as the time, the relative time counted by the BMS 422 is associated with the absolute time specified by the measurement unit 43 and stored in the operation history data D1. The BMS 422 may be configured to be able to measure the absolute time. In other words, the operation history data D1 includes time-series data on the electrical parameters of the power storage device 421 while the power storage device 421 is operating. The electrical parameters include at least the voltage or SOC, and the current of the power storage device 421.

[0038] FIG. 7 is a diagram showing an example of time-series data of the voltage of a certain power storage device 421 in the operation history data D1. The vertical axis of FIG. 7 is the voltage V (specifically, the closed circuit voltage of the power storage device 421), and the horizontal axis is the time t. As shown in FIG. 7, the voltage V of the operation history data D1 monotonically decreases due to the discharge of the power storage device 421 before the charging start time t0, and monotonically increases due to the charging of the power storage device 421 from the charging start time t0 to the charging end time t3. In this way, the section included in the operation history data D1 is composed of a discharging section Td and a charging section Tc. The discharging section Td is a section in which the power storage device 421 is discharged, for example, power is supplied to the driving unit 41, and is a section before the charging start time t0 and after the charging end time t3 in FIG. 7. The charging section Tc is a section in which the power storage device 421 is charged, and is a section from the charging start time t0 to the charging end time t3 in FIG. 7. In other words, among the times included in the operation history data D1, a continuous section in which the voltage V monotonically decreases (particularly, a monotonically decreases in the narrow sense) is identified as one discharging section Td, and a continuous section in which the voltage V monotonically increases (particularly, a monotonically increases in the narrow sense) is identified as one charging section Tc.

[0039] In this embodiment, at least one of the charging sections Tc may include a specific section Ts. The specific section Ts is a section of the charging section Tc used to calculate the section capacity of the power storage device 421, and in this embodiment, is specified as a section of the charging section Tc from a first time t1 at which the voltage V becomes a first value V1 to a second time t2 at which the voltage V becomes a second value V2. The first value V1 and the second value V2 can be set arbitrarily. In this embodiment, the second value V2 is greater than the first value V1. Hereinafter, for convenience of explanation, the value of the current at the first time t1 is referred to as a start current value I1, and the value of the current at the second time t2 is referred to as an end current value I2. The start current value I1 is a current when the voltage reaches the first value V1 in the specific section Ts, and is an example of a first judgment current. The end current value I2 is a current when the voltage reaches the second value V2 in the specific section Ts, and is an example of a second judgment current.

[0040] The current value in the operation history data D1 may vary arbitrarily depending on the charging and discharging mode of the power storage device 421. This means that the operation history data D1 in this embodiment is not obtained under predetermined constant charging and discharging test conditions, but is a charging and discharging history of the power storage device 421 obtained in an environment in which the drive device 4 is actually operated, that is, while the power storage device 421 is actually used. Therefore, this information processing is not limited to a charging and discharging history obtained in a charging and discharging test performed under predetermined conditions, but can output a section capacity having an allowable reliability for estimating a model of the capacity deterioration rate, using a charging and discharging history obtained from the power storage device 421 used in an arbitrary environment.

[0041] The section capacity (specifically, the change in capacity) can be calculated by integrating the current I from the first time t1 to the second time t2 over time. In this way, by repeatedly charging and discharging the power storage device 421, at least one charging section Tc is identified from a series of operation history data D1, and a specific section Ts is identified from the charging section Tc. Then, the section capacity of the power storage device 421 is obtained from the specific section Ts. In summary, each of the specific sections Ts is a section in which the voltage of the power storage device 421 reaches a predetermined start value to an end value, and is configured to include a first time t1 at which the voltage V of the power storage device 421 reaches a predetermined first value V1. As an example, the specific section Ts is identified so that the first time t1 is the start point or end point of the specific section Ts. As an example, each of the specific sections Ts is further configured to include a second time t2 at which the voltage V of the power storage device 421 reaches a second value V2 different from the first value V1.

[0042] 3.2. Correlation between section capacity and current Next, the relationship between the section capacity and current (for example, the start current value I1, the end current value I2, etc.) will be described. FIG. 8 is a diagram showing the relationship between the section capacity and each of the start current value I1 and the end current value I2. As described above, the section capacity is calculated as the change in capacity from the first time t1 to the second time t2. Each data point P1 (section capacity, start current value I1, and end current value I2) included in FIG. 8 is specified or calculated from one specific section Ts. T in FIG. true is an interval whose interval capacity has a given reliability, and T false is a section whose section capacity does not have the reliability. The reliability can be set appropriately depending on the use of the section capacity, and for the sake of convenience, "having reliability" means that the capacity can be used as data for estimating a model of the deterioration characteristics of the power storage device 421, and "not having reliability" means that the capacity is difficult to use.

[0043] As shown in Figure 8, T true During the period T, the section capacity of the storage device 421 tends to decrease monotonically as time t passes. This tendency means that the chargeable capacity of the storage device 421 decreases from the first value V1 to the second value V2 due to leaving the storage device 421 alone or repeated charging and discharging, and suggests that the deterioration of the storage device 421 is progressing. true From T false When the section capacity is increased, even though the deterioration is progressing, false The section capacity of the section is T true There is a possibility that reliability of the section capacity in the section is low.

[0044] Here, T true and T false When comparing the start current value I1 and the end current value I2 in each section, the start current value I1 is T true and T false In contrast, the final current value I2 is almost constant between T false In the section, T trueis clearly smaller than the interval, and the difference between the end current value I2 in each interval is at least 1σ interval. The 1σ interval is obtained from the standard deviation of the start current value I1 in a population whose elements are all data points P1. In this way, it was found that there is a certain degree of correlation between the current value at a certain voltage V and the reliability of the interval capacity. The judgment conditions in the information processing described later are configured to judge whether or not the interval capacity has a predetermined reliability by utilizing such a correlation between the current value and the reliability of the interval capacity.

[0045] In addition, T false The increase in the section capacity in the first period is due to an increase in the charging capacity until the voltage V reaches the second value V2, which is caused by a decrease in polarization due to a decrease in the charging current, etc.

[0046] In addition, a similar correlation may exist between the start current value I1 and the reliability of the section capacity depending on factors that reduce the reliability. Since the first value V1 and the second value V2 are arbitrary, a similar correlation may exist between the value of the current at a specific voltage V included in the specific section Ts and the reliability of the section capacity.

[0047] 3.3. Information processing flow In this section, an example of information processing executed in the information processing system 1 will be described. FIG. 9 is a flowchart showing an example of the flow of information processing executed in the information processing system 1. The information processing may include any exception processing not shown. Exception processing includes interruption of the information processing and omission of each process. Selection or input performed in the information processing may be based on a user operation or may be performed automatically without relying on a user operation. The following information processing may be performed for each power storage device 421.

[0048] [Step S1] First, in step S1, the acquisition unit 231 acquires operation history data D1 related to the operation history of the power storage device 421. The acquisition unit 231 acquires such time series data from the BMS 422. The operation history data D1 may further include environmental information (e.g., environmental temperature). The acquisition unit 231 acquires the environmental information from, for example, the measurement unit 43. The acquisition unit 231 can acquire the operation history data D1 including the time series data and the environmental information by integrating the information acquired from the BMS 422 and the measurement unit 43 according to the time series.

[0049] [Step S2] Next, the process proceeds to step S2, where the processor 23 divides the operation history data D1 based on the environmental information. For example, the processor 23 divides the operation history data D1 into a plurality of time series data corresponding to a predetermined range, depending on which of a plurality of ranges the moving average value of the environmental temperature during a certain period of time is included in. "Dividing the operation history data D1" is not limited to generating a plurality of data from one operation history data D1, but may include virtually dividing the individual data points included in the operation history data D1 into a plurality of data by classifying them according to attributes corresponding to the range. The processor 23 may divide the operation history data D1 based on absolute time as environmental information. For example, the processor 23 divides the operation history data D1 to correspond to each season (for example, spring, summer, autumn, winter, rainy season, dry season, etc.) according to the absolute time. This makes it easier to consider the influence of the external environment, such as the season and the external temperature, when analyzing the relationship between the change in the battery temperature, etc. and the capacity deterioration degree. Hereinafter, for convenience of explanation, each of the divided pieces of operation history data D1 may be referred to as “divided data D2.” In this embodiment, the operation history data D1 is divided into four divided data D2 corresponding to the seasons of spring, summer, autumn, and winter.

[0050] [Step S3] Next, the process proceeds to step S3, where the processor 23 sets a variable i to 1. The variable i is a number that identifies each of the multiple divided data D2. In this embodiment, a different variable i (=1 to 4) is assigned to each of the four divided data D2. The following processes from step S4 to step S10 are performed on the i-th divided data D2.

[0051] [Step S4] First, in step S4, the identification unit 232 identifies a charging section Tc from the i-th (here, the first) divided data D2. The charging section Tc is a period during which charging from an external power source is performed while the power storage device 421 is in operation. Any charging method may be used, but here, a constant current method is used. Any method may be used to identify the charging section Tc, but for example, the identification unit 232 identifies, from the operation history data D1, a continuous section in which the voltage V increases monotonically as the charging section Tc.

[0052] [Step S5] Next, the process proceeds to step S5, and the identifying unit 232 identifies a plurality of specific intervals Ts from the operation history data D1. In detail, the identifying unit 232 identifies the specific interval Ts from at least one charging interval Tc included in the i-th divided data D2. In this embodiment, the identifying unit 232 identifies the specific interval Ts such that the first time t1 is the start point of the specific interval Ts, and the second time t2 at which the voltage of the storage device 421 becomes the second value V2 is the end point of the specific interval Ts. Therefore, the specific interval Ts does not exist in the charging interval Tc in which both the first value V1 and the second value V2 are not included in the range of the voltage V. The first time t1 and the second time t2 correspond to the timing that is the reference for calculating the interval capacity. According to this configuration, the correlation between the reliability of the interval capacity and the first determination current can be further strengthened by matching the timing that is the reference for calculating the interval capacity with the timing of the specific interval Ts. Furthermore, with this configuration, the section capacity is output based on the reliability of the section capacity that reflects the state of both the start point and the end point of the charging section Tc, where the state of the power storage device 421 is particularly likely to vary. This makes it possible to further increase the reliability of the section capacity that is output.

[0053] [Step S6] Next, the process proceeds to step S6, where the calculation unit 233 calculates the section capacity of each specific section Ts identified in step S5. An example of the method of calculating the section capacity is as described above.

[0054] [Step S7] Next, the process proceeds to step S7, where the identification unit 232 identifies the start current value I1 and the end current value I2 of each specific section Ts.

[0055] [Step S8] Next, the process proceeds to step S8, where the judgment unit 234 sets judgment conditions based on the currents of the specific sections Ts belonging to the same divided data D2. The judgment conditions are conditions for judging whether the section capacity calculated in step S6 is reliable or not, in other words, whether the error inherent in the calculated section capacity is within an allowable range or not. The judgment conditions are determined based on the value of the current at the timing when a certain specific voltage is reached in each of the specific sections Ts belonging to the same divided data D2. The judgment conditions in this embodiment include a first judgment condition and a second judgment condition.

[0056] The first judgment condition is defined by whether or not the difference between the start current value I1 corresponding to a certain section capacity and the representative value of the start current value I1 of the population consisting of all data points P1 belonging to the same divided data D2 is equal to or less than a predetermined allowable value. The representative value is the average value, median value, or mode value of the start current value I1 in a subset constituting at least a part of the set, and is the average value in this embodiment. The allowable value is determined based on the variance or standard deviation in the subset, and in this embodiment, is a constant multiple of the standard deviation σ of the population. With this configuration, it is possible to output a section capacity with higher statistical reliability. The constant can be arbitrarily set according to the reliability required by the user, and when the constant is 1, the first judgment condition means whether or not the start current value I1 is included in the 1σ section. In other words, the first judgment condition is determined based on a set consisting of the start current values ​​I1 of each of a plurality of specific sections Ts. The first judgment condition is satisfied when the difference between the start current value I1 in a specific section Ts and the representative value of a set of the start current values ​​I1 of the specific sections Ts is equal to or smaller than a permissible value. With this configuration, it is possible to output a section capacity with high statistical reliability.

[0057] The second judgment condition, like the first judgment condition, is also determined by whether or not the difference between the end current value I2 corresponding to a certain section capacity and the representative value of the end current values ​​I2 of the population consisting of all data points P1 belonging to the same divided data D2 is equal to or less than a predetermined allowable value. In other words, the second judgment condition is determined based on a set consisting of the end current values ​​I2 of each of the multiple specific sections Ts (in other words, the end current values ​​I2 of the set of data points P1).

[0058] [Step S9] Next, the process proceeds to step S9, where the determining unit 234 executes a determination process to determine whether or not to output the section capacity to the database DB1 or the like.

[0059] [Step S10] Next, the process proceeds to step S10, where the output unit 235 outputs the section capacity that satisfies the judgment condition to the database DB1. Specifically, when the start current value I1 of each specific section Ts satisfies the first judgment condition and the end current value I2 of the specific section Ts satisfies the second judgment condition, the output unit 235 outputs the section capacity of the specific section Ts in association with the original operation history data D1. On the other hand, when the specific section Ts does not satisfy the first judgment condition or the second judgment condition, the judgment unit 234 discards the section capacity of the specific section Ts without outputting it to the database DB1. Note that the judgment unit 234 may output the section capacity, etc., after attaching a label indicating that the specific section Ts is unreliable.

[0060] [Step S11] Next, the process proceeds to step S11, where the determination unit 234 determines whether or not the variable i has reached 4, in other words, whether or not the above process has been performed for all of the divided data D2.

[0061] [Step S12] If the determination result of step S11 is negative, the process proceeds to step S12, where the processor 23 increments the variable i by 1 and performs the processes of steps S4 to S10 on the next divided data D2. In other words, the specification unit 232 specifies a plurality of specific sections Ts from each of the divided operation history data D1. Furthermore, for each of the divided operation history data D1 (i.e., divided data D2), when the specific section Ts satisfies the first determination condition and the second determination condition, the output unit 235 outputs the section capacity in the specific section Ts in association with the environmental information. According to this configuration, since the operation status of the power storage device 421 varies depending on the external environment such as temperature, the determination condition for outputting a highly reliable section capacity may also vary depending on the external environment. Therefore, the operation history data D1 is divided based on the environmental information related to the external environment, and the first determination condition is set depending on the divided data, so that a highly reliable section capacity can be output in consideration of the difference in the external environment.

[0062] FIG. 10 is a diagram showing time-series data of section capacity obtained from operation history data D1. As shown in FIG. 10, each section capacity is associated with one of four divided data D2 divided from operation history data D1. Each of the four divided data D2 corresponds to one of sections T1 to T4 in FIG. 10. Processor 23 can define different populations corresponding to each of sections T1 to T4 from data points P1 included in each of such sections T1 to T4, and set the above-mentioned judgment condition for each of the populations. This makes it possible to reflect differences in operation conditions of power storage device 421 when calculating section capacity, and therefore makes it possible to judge reliability with higher accuracy.

[0063] In summary, when the specific section Ts satisfies the first judgment condition, the output unit 235 outputs the section capacity in the specific section Ts. According to this configuration, the section capacity can be obtained from each of the different charging sections Tc when the power storage device 421 is operating. As a result, when the specific section Ts satisfies the first judgment condition, the section capacity in the specific section Ts is output, and it is possible to preferentially obtain a section capacity with relatively high reliability among the operation history data D1. Furthermore, when the specific section Ts satisfies the first judgment condition and the second judgment condition, the output unit 235 outputs the section capacity in the specific section Ts. According to this configuration, it is possible to output the section capacity of a more reliable specific section Ts that satisfies both the first judgment condition and the second judgment condition.

[0064] [Step S13] 9, on the other hand, if the determination result in step S11 is positive, that is, if the processes in steps S4 to S10 have been performed for all divided data D2, the process proceeds to step S13. In step S13, the identification unit 232 calculates a capacity deterioration degree for each section corresponding to the divided data D2, based on the section capacity output and accumulated in the database DB1. The identification unit 232 may further subdivide the sections of the divided data D2, and then calculate a capacity deterioration degree for each subdivided section.

[0065] [Step S14] Next, the process proceeds to step S14, where the acquiring unit 231 acquires reference information on a plurality of candidate models related to the deterioration characteristics of the power storage device 421. The reference information is stored in advance in, for example, a database DB1. In this embodiment, the reference information includes a first candidate model and a second candidate model. Each of the candidate models represents a relationship between a parameter representing an environment related to deterioration of the power storage device 421, such as temperature, voltage, time, etc., and the deterioration speed of the power storage device 421.

[0066] The first candidate model represents the contribution of deterioration due to storage of the power storage device 421, in other words, deterioration based on factors that occur regardless of whether or not electricity is being applied. Each of the first candidate models is expressed, for example, by multiplying basic equations that represent temperature dependency, voltage dependency, and time dependency, respectively. Specifically, the first candidate model can be expressed, for example, by the following equation (1).

number

[0067] In formula (1), T is temperature (battery temperature), V is voltage (closed circuit voltage), and t is elapsed time (amount of change in relative time). These parameters for the capacity deterioration rate are output in step S10 and are obtained from the values ​​stored in database DB1. In formula (1), α, β, γ, δ, and ε are unknown constants (parameters to be optimized). R g is the gas constant.

[0068] As another example, the first candidate model can be expressed by the following formula (2).

number

[0069] For the sake of convenience, variables and constants in formula (2) that have the same properties as those in formula (1) are represented by the same symbols. In formula (2), F represents the Faraday constant, V refis the voltage V when the SOC is a predetermined reference value. The reference value may be, for example, 40, 45, 50, 55, or 60%, or may be within a range between any two of the values ​​exemplified here.

[0070] The second candidate model represents the contribution of deterioration based on factors caused by energization (in other words, charging and discharging) of the power storage device 421. The second candidate model is expressed, for example, by multiplication of basic equations representing temperature dependency, current dependency, and energization dependency, respectively. Specifically, the second candidate model can be expressed, for example, by the following equation (3).

number

[0071] In equation (3), T is the temperature (battery temperature), I is the current (charge / discharge current), and Q is a parameter that represents the amount of current flow. These parameters for the capacity deterioration rate are output in step S10 and are obtained from the values ​​stored in database DB1. α, β, γ, and δ are unknown constants (parameters to be optimized). R g is the gas constant.

[0072] As another example, the second candidate model can be expressed by the following equation (4).

number

[0073] For ease of explanation, among the variables and constants in formula (4), those that have properties in common with formula (3) are represented using the same symbols.

[0074] The processor 23 generates a candidate for a capacity degradation model to be optimized based on such a candidate model. The capacity degradation model represents a model related to degradation characteristics that reflects the degradation factors of the first candidate model and the second candidate model related to the power storage device 421 corresponding to the operation history data D1. The candidate for the capacity degradation model can be generated by any method, for example, one of the first candidate models and one of the second candidate models described above are selected, and a weighted linear sum of these two candidate models is generated as the capacity degradation model. Note that the parameters included in each of the first candidate model and the second candidate model are treated as independent parameters. For example, when the capacity degradation model is expressed by a linear combination of the formula (1) and the formula (3), the capacity degradation model has a total of 10 unknown variables, including five unknown variables included in the formula (1), four unknown variables included in the formula (3), and a weighting variable of the formula (1) and the formula (3). The processor 23 generates a capacity degradation model defined by a combination of a plurality of candidate models by appropriately setting these unknown variables. In this embodiment, the processor 23 generates candidates for the capacity deterioration model for all combinations (i.e., four combinations) of the first candidate model and the second candidate model, and optimizes parameters included in each capacity deterioration model by the process described below.

[0075] [Step S15] Next, the process proceeds to step S15, where the estimation unit 236 optimizes parameters included in each candidate capacity deterioration model based on the capacity deterioration degree stored in the database DB1. As a result, the estimation unit 236 estimates a capacity deterioration model of the power storage device 421 represented by the operation history data D1 from among the candidates for the capacity deterioration model. The capacity deterioration degree is associated with various information included in the operation history data D1. Therefore, the database DB1 stores input parameters and output capacity deterioration degrees in an associated state. In other words, the estimation unit 236 optimizes a combination of multiple candidate models based on the operation history data D1 and the section capacity to be output, thereby estimating a model related to deterioration characteristics (in other words, a capacity deterioration model). With this configuration, a capacity deterioration model with higher accuracy can be obtained than when it is estimated based on a single candidate model, and therefore the estimation accuracy of the deterioration rate of the power storage device 421 corresponding to the operation history data D1 can be improved. For example, the processor 23 optimizes each parameter included in the capacity degradation model so that the error between the estimated value of the capacity degradation degree obtained by inputting the input (e.g., temperature, voltage, current, time) obtained from the operation history data D1 into the latest model and the capacity degradation degree (in other words, the measured value) obtained in step S13 is minimized. Any specific method for optimization may be used, and examples thereof include a full search method, Bayesian optimization, and a genetic algorithm. In this manner, the estimation unit 236 estimates a model related to degradation characteristics based on the section capacity output for each section divided based on the environmental information in the operation history data D1. With this configuration, it is possible to estimate a capacity degradation model that reflects the difference in the external environment and is more suitable for the actual operation environment. Thereafter, the estimation unit 236 identifies a capacity degradation model with the smallest error among the four capacity degradation models having the optimized parameters.

[0076] [Step S16] Thereafter, the process proceeds to step S16, and the output unit 235 outputs the capacity deterioration model with the minimum error identified in step S15. The output capacity deterioration model may be presented to the user as an optimization result, or may be stored in the BMS 422 or the like to enable management of the power storage device 421 with higher accuracy.

[0077] According to this information processing, a highly reliable section capacity can be selectively extracted from the operation history data D1 relating to the operation history of the power storage device 421 in an uncontrolled environment, so that the estimation unit 236 can estimate a model relating to the deterioration characteristics regardless of the presence or absence of test data relating to the operation history of the power storage device 421 during a deterioration test performed in a controlled environment. When test data is stored in the database DB1, the output unit 235 may output a section capacity that satisfies a judgment condition from the test data. In this case, the estimation unit 236 may estimate a model based on the section capacity obtained from the test data in addition to the section capacity obtained from the operation history data D1. In other words, the operation history data D1 may include the test data.

[0078] 4.Other The above embodiment is merely an example and is not limiting.

[0079] In the above embodiment, the judgment condition may include at least one of the first judgment condition and the second judgment condition. The first judgment condition and the second judgment condition are names given for the convenience of explanation, and the same applies even if the names are interchanged.

[0080] The judgment condition may further include a third judgment condition. The third judgment condition is determined based on a set of currents at the time when the voltage V reaches a third value V3 between the first value V1 and the second value V2. The third judgment condition is defined in the same manner as the first judgment condition.

[0081] The first value V1 does not have to be specified to coincide with the first time t1, which is the start time of the specific section Ts. Similarly, the second value V2 does not have to be specified to coincide with the second time t2, which is the end time of the specific section Ts. In other words, the first value V1 and the second value V2 may be any value that can be taken in the section for calculating the section capacity.

[0082] The estimation unit 236 may estimate a model related to the degradation characteristics from candidates of the capacity degradation model represented by a single candidate model. In other words, the estimation unit 236 estimates a model based on the operation history data D1 and the section capacity to be output. With such a configuration, a model related to the degradation characteristics can be estimated based on a highly reliable section capacity, thereby improving the estimation accuracy of the capacity degradation rate.

[0083] "Outputting the section capacity satisfying the judgment condition" in step S10 is not limited to outputting and storing the section capacity satisfying the judgment condition in database DB1, but may include outputting the section capacity satisfying the judgment condition among the existing section capacities stored in database DB1 or the like to any system that uses the section capacity. An example of such a system is a system that estimates a model related to the deterioration characteristics of the power storage device 421. Such a system is configured to perform the processes of steps S13 to S16, for example.

[0084] The output of the section capacity based on the operation history data D1 and the estimation of the model based on the capacity deterioration degree may be performed independently.

[0085] In the above information processing, the specific section Ts may be specified based on the SOC, not limited to the voltage V. This is because the SOC generally has a positive correlation with the voltage V (closed circuit voltage or open circuit voltage) of the power storage device 421.

[0086] The specific section Ts is not limited to being included in the charging section Tc, and may be included in the discharging section Td.

[0087] The information processing device 2 may be an on-premise type or a cloud type. As the information processing device 2 in the cloud type, the above-mentioned functions and processes may be provided in the form of, for example, SaaS (Software as a Service) or cloud computing.

[0088] In the above embodiment, the information processing device 2 performs various storage and control, but multiple external devices may be used instead of the information processing device 2. That is, various information and programs may be distributed and stored in multiple external devices using block chain technology or the like.

[0089] The above embodiment is not limited to the information processing system 1, and may be an information processing method or an information processing program. The information processing method includes each step of the information processing system 1. The information processing program causes at least one computer to execute each step of the information processing system 1.

[0090] The information processing system 1 and the like may be provided in the following aspects.

[0091] (1) An information processing system comprising at least one processor capable of executing a program to perform each of the following steps: an acquisition step acquires operation history data relating to an operation history of an energy storage device, the operation history data including time series data regarding electrical parameters of the energy storage device while the energy storage device is in operation, the electrical parameters including at least a voltage or SOC and a current of the energy storage device; a section identification step identifies a plurality of specific sections from the operation history data, each of the specific sections being a section from a predetermined start value to an end value of the voltage or SOC of the energy storage device and configured to include a first time when the voltage or SOC of the energy storage device reaches a predetermined first value; and an output step outputs a section capacity in the specific section if the specific section satisfies a first judgment condition, wherein the first judgment condition is determined based on a set consisting of first judgment currents of each of the plurality of specific sections, and the first judgment current is a current when the voltage or SOC reaches the first value in the specific section.

[0092] According to this configuration, the section capacity can be obtained from each of the different charging sections or discharging sections when the storage device is operating. The internal resistance of the storage device during operation may vary depending on various factors such as the usage conditions and inherent polarization. Therefore, the reliability of the section capacity in a certain section is affected by these factors. The inventors of the present application have found that the difference between the current when the voltage or SOC reaches a first value in a certain specific section and the current when the voltage or SOC reaches the first value in another specific section is correlated with the reliability of the section capacity. As a result, if the specific section satisfies the first judgment condition in the output step, the section capacity in the specific section is output, so that a section capacity with relatively high reliability can be preferentially obtained from certain operation history data.

[0093] (2) In the information processing system according to (1) above, in the section identification step, the specific section is identified so that the first time is a start point or an end point of the specific section.

[0094] According to this configuration, by matching the timing that is the reference for calculating the section capacity with the timing of the specific section, it is possible to further strengthen the correlation between the reliability of the section capacity and the first determination current.

[0095] (3) In the information processing system described in (1) or (2) above, each of the specific sections is further configured to include a second time at which the voltage or SOC of the storage device becomes a second value different from the first value, and in the output step, if the specific section satisfies the first judgment condition and the second judgment condition, the section capacity in the specific section is output, where the second judgment condition is determined based on a set consisting of second judgment currents of each of the multiple specific sections, and the second judgment current is a current when the voltage or SOC in the specific section reaches the second value.

[0096] According to this configuration, it is possible to output a section capacity of a specific section that satisfies both the first and second judgment conditions and has higher reliability.

[0097] (4) In the information processing system described in (3) above, in the section identification step, the specific section is identified so that the first time and the second time at which the voltage of the storage device becomes the second value are respectively the start point and the end point of the specific section.

[0098] According to this configuration, the section capacity is output based on the reliability of the section capacity that reflects the state of both the start point and the end point of the charging section or the discharging section, in which the state of the storage device is particularly likely to vary, and therefore the reliability of the output section capacity can be further improved.

[0099] (5) In the information processing system described in any one of (1) to (4) above, the first judgment condition is configured to be satisfied when a difference between the first judgment current in a certain specific section and a representative value of a set formed by the first judgment currents of each of the multiple specific sections is equal to or less than a tolerance value.

[0100] According to this configuration, it is possible to output a section capacity with high statistical reliability.

[0101] (6) In the information processing system described in (5) above, the representative value is the average, median, or mode of the first judgment current in a subset that constitutes at least a part of the set, and the allowable value is determined based on the variance or standard deviation in the subset.

[0102] With this configuration, it is possible to output section capacitances with higher statistical reliability.

[0103] (7) In the information processing system described in any one of (1) to (6) above, the operation history data includes environmental information related to an external environment of the power storage device, and further, in the division step, the operation history data is divided based on the environmental information, in the section identification step, the multiple specific sections are identified from each of the divided operation history data, and in the output step, for each of the divided operation history data, if the specific section satisfies the first judgment condition, the section capacity of the specific section is output in association with the environmental information.

[0104] According to such a configuration, since the operating status of the power storage device varies depending on the external environment such as temperature, the judgment condition for outputting a highly reliable section capacity may also vary depending on the external environment. Therefore, by dividing the operation history data based on the environmental information related to the external environment and setting the first judgment condition according to the divided data, it is possible to output a highly reliable section capacity taking into account the difference in the external environment.

[0105] (8) In the information processing system according to any one of (1) to (7) above, in the estimation step, a model relating to the deterioration characteristics of the power storage device is estimated based on the operation history data and the output section capacity.

[0106] According to such a configuration, a model relating to degradation characteristics can be estimated based on highly reliable section capacity, so that the accuracy of estimating the rate of capacity degradation can be improved.

[0107] (9) In the information processing system described in (8) above, in the acquisition step, reference information regarding a plurality of candidate models that are candidates for the model is acquired, and in the estimation step, a model regarding the deterioration characteristics is estimated by optimizing a combination of the plurality of candidate models based on the operation history data and the output section capacity.

[0108] With this configuration, a model with higher accuracy than estimation based on a single candidate model can be obtained, thereby improving the accuracy of estimating the deterioration rate of the energy storage device corresponding to the operation history data.

[0109] (10) In the information processing system described in (8) or (9) above, the operation history data includes environmental information related to an external environment of the storage device, and further, in the division step, the operation history data is divided based on the environmental information, and in the section identification step, the multiple specific sections are identified from each of the divided operation history data, and in the output step, for each of the divided operation history data, if the specific section satisfies the first judgment condition, the section capacity of the specific section is output in association with the environmental information, and in the estimation step, a model related to the deterioration characteristics is estimated based on the section capacity output in association with the environmental information.

[0110] With this configuration, it is possible to estimate a model that reflects differences in the external environment and is more suited to the actual operating environment.

[0111] (11) An information processing method, comprising each step of the information processing system according to any one of (1) to (10) above.

[0112] According to this configuration, it is possible to preferentially obtain a section capacity that is relatively reliable from among certain operation history data.

[0113] (12) A program causing at least one computer to execute each step of the information processing system according to any one of (1) to (10) above.

[0114] According to this configuration, it is possible to preferentially obtain a section capacity that is relatively reliable from among certain operation history data. Of course, this is not the case.

[0115] Finally, although various embodiments according to the present disclosure have been described, these are presented as examples and are not intended to limit the scope of the invention. The novel embodiment can be implemented in various other forms, and various omissions, substitutions, and modifications can be made without departing from the spirit of the invention. The embodiments and their modifications are included within the scope and spirit of the invention, and are included in the scope of the invention and its equivalents described in the claims. [Explanation of symbols]

[0116] 1: Information processing system 2: Information processing equipment 20: Communication bus 21: Communications Department 22: Storage section 23: Processor 3: User terminal 30: Communication bus 31: Communications Department 32: Storage section 33: Processor 34: Display section 35: HMI device 4: Drive unit 41: Drive unit 42: Energy storage unit 421: Electricity storage device 422: BMS 43: Measurement section 231: Acquisition Department 232: Specific part 233: Calculation section 234: Judgment section 235: Output section 236:Estimation part D1: Operation history data D2: Split data DB1 : Database I1: Starting current value I2: End current value P1: Data point T1~T4: Section Tc: Charging section Td: Discharge period Ts: Specific section V: Voltage V1: First value V2: Second value V3: Third value t0: Charging start time t1: 1st time t2: 2nd time t3: Charging end time

Claims

1. An information processing system, At least one processor capable of executing a program to perform the following steps: In the acquisition step, operation history data relating to an operation history of the power storage device is acquired; the operation history data includes time series data on electrical parameters of the power storage device while the power storage device is in operation, the electrical parameters including at least a voltage or a SOC, and a current of the power storage device; In the section identification step, a plurality of specific sections are identified from the operation history data; each of the specific sections is a section during which a voltage or an SOC of the power storage device reaches a predetermined start value to an end value, and is configured to include a first time at which the voltage or the SOC of the power storage device reaches a predetermined first value; In the output step, when the specific section satisfies a first judgment condition, a section capacity in the specific section is output, where An information processing system, wherein the first judgment condition is determined based on a set consisting of first judgment currents for each of the multiple specific sections, and the first judgment current is a current when the voltage or SOC reaches the first value in the specific section.

2. 2. The information processing system according to claim 1, In the section specifying step, the specific section is specified so that the first time is a start point or an end point of the specific section.

3. 2. The information processing system according to claim 1, Each of the specific sections is further configured to include a second time at which a voltage or an SOC of the power storage device becomes a second value different from the first value; In the output step, when the specific section satisfies the first judgment condition and the second judgment condition, a section capacity in the specific section is output, the second determination condition is determined based on a set constituted by second determination currents of the respective specific sections; The second determination current is a current when the voltage or SOC reaches the second value in the specific section.

4. 4. The information processing system according to claim 3, An information processing system in which, in the section identification step, the specific section is identified so that the first time and the second time at which the voltage of the storage device becomes the second value are respectively the start point and end point of the specific section.

5. 2. The information processing system according to claim 1, An information processing system, wherein the first judgment condition is configured to be satisfied when a difference between the first judgment current in a certain specific section and a representative value of a set composed of the first judgment currents of each of the multiple specific sections is less than or equal to an allowable value.

6. 6. The information processing system according to claim 5, An information processing system, wherein the representative value is the average, median, or mode of the first judgment current in a subset that constitutes at least a part of the set, and the tolerance is determined based on the variance or standard deviation in the subset.

7. 2. The information processing system according to claim 1, The operation history data includes environmental information related to an external environment of the power storage device, Furthermore, in the dividing step, the operation history data is divided based on the environmental information, In the section identification step, the plurality of specific sections are identified from each of the divided operation history data, In the output step, when the specific section of each of the divided operating history data satisfies the first judgment condition, the information processing system outputs the section capacity of the specific section in association with the environmental information.

8. 2. The information processing system according to claim 1, In the estimation step, an information processing system estimates a model relating to deterioration characteristics of the power storage device based on the operation history data and the output section capacity.

9. 9. The information processing system according to claim 8, In the acquisition step, reference information on a plurality of candidate models that are candidates for the model is acquired; The information processing system, in the estimation step, estimates a model relating to the deterioration characteristics by optimizing a combination of the plurality of candidate models based on the operation history data and the output section capacity.

10. 9. The information processing system according to claim 8, The operation history data includes environmental information related to an external environment of the power storage device, Furthermore, in the dividing step, the operation history data is divided based on the environmental information, In the section identification step, the plurality of specific sections are identified from each of the divided operation history data, In the output step, when the specific section satisfies the first determination condition, a section capacity of the specific section is output in association with the environmental information for each of the divided operation history data. The information processing system, in the estimation step, estimates a model relating to the deterioration characteristics based on a section capacity output in association with the environmental information.

11. 1. An information processing method, comprising: A method comprising the steps of the information processing system according to any one of claims 1 to 10.

12. A program, A program for causing at least one computer to execute each step of the information processing system according to any one of claims 1 to 10.

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