Life prediction device, power storage device, method for predicting life, and program

By calculating the progress deterioration degree of secondary batteries, including both operation and non-operation periods, the life prediction device and method address the inaccuracy in conventional power storage devices, resulting in improved battery life prediction accuracy.

JP2025090314APending Publication Date: 2025-06-17FDK CORP
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Patent Information

Application Number
JP2023205486
Authority / Receiving Office
JP · JP
Patent Type
Applications
Current Assignee / Owner
Filing Date
2023-12-05
Publication Date
2025-06-17

AI Technical Summary

Technical Problem

Conventional power storage devices fail to accurately predict the life of secondary batteries due to the exclusion of non-operation periods in deterioration calculations, leading to reduced prediction accuracy, especially with frequent shutdowns or prolonged shutdown periods.

Method used

A life prediction device and method that calculate a progress deterioration degree of secondary batteries, including both in-operation and non-operation deterioration, to provide a more comprehensive and accurate life prediction.

Benefits of technology

The proposed solution improves the accuracy of secondary battery life prediction by considering deterioration during non-operation periods, thereby enhancing the reliability of battery life estimation.

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Abstract

To provide a life prediction device, a power storage device, a method for predicting a life, and a program which can improve the accuracy of predicting the life of a secondary battery.SOLUTION: The life prediction device for predicting the life of a secondary battery equipped in a power storage device, includes: a degradation calculation unit for calculating a during-activation degradation degree showing the degree of degradation of a secondary battery from when a power storage device is completed to the present time, the degree of degradation including a non-activation degradation degree showing the degree of degradation of the secondary battery when the power storage device is not being activated; and a life prediction unit for predicting the life of the secondary battery on the basis of the calculated during-activation degradation degree.SELECTED DRAWING: Figure 1
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Description

Technical Field

[0001] The present disclosure relates to a life prediction device, a power storage device, a life prediction method, and a program.

Background Art

[0002] Conventionally, in a power storage device equipped with a secondary battery capable of charge and discharge, when a microcomputer is installed, the microcomputer predicts the life of the secondary battery (see, for example, Patent Document 1). When predicting the life of a secondary battery, usually, the microcomputer calculates the degree of deterioration of the secondary battery during the period when the power storage device is operating, and predicts the life of the secondary battery based on the calculation result.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] By the way, it is known that a secondary battery deteriorates even during a non-operating period such as a shutdown period when the power storage device equipped with the secondary battery is not operating. This is because the environmental temperature during the storage period of the secondary battery and at the time of charge and discharge stop affects the secondary battery.

[0005] However, when the power storage device is not operating, the microcomputer installed in the power storage device is not supplied with power, so the degree of deterioration of the secondary battery during non-operation cannot be calculated. Therefore, in the conventional power storage device, there is a problem that the degree of deterioration during the shutdown period is not reflected in the life prediction, and the accuracy of the life prediction is reduced. In particular, when the number of shutdowns is large or the shutdown period is prolonged, the influence of the degree of deterioration during non-operation on the life prediction increases.

[0006] The present disclosure has been made in view of the problems in the above-mentioned conventional technologies, and an object thereof is to provide a life prediction device, a power storage device, a life prediction method, and a program that can improve the accuracy of predicting the life of a secondary battery.

Means for Solving the Problems

[0007] The life prediction device according to the present disclosure is a life prediction device for predicting the life of a secondary battery mounted on a power storage device, a deterioration calculation unit that calculates a progress deterioration degree indicating the deterioration degree of the secondary battery from when the power storage device was completed to the present, including a non-operation deterioration degree indicating the deterioration degree of the secondary battery during non-operation of the power storage device; a life prediction unit that predicts the life of the secondary battery based on the calculated progress deterioration degree and includes.

[0008] Also, the power storage device according to the present disclosure is a secondary battery capable of charging and discharging; the above life prediction device and includes.

[0009] Furthermore, the life prediction method according to the present disclosure is a life prediction method for predicting the life of a secondary battery mounted on a power storage device, calculating a progress deterioration degree indicating the deterioration degree of the secondary battery from when the power storage device was completed to the present, including a non-operation deterioration degree indicating the deterioration degree of the secondary battery during non-operation of the power storage device; predicting the life of the secondary battery based on the calculated progress deterioration degree.

[0010] Furthermore, the program according to the present disclosure causes the above life prediction method to be executed by a computer.

Advantages of the Invention

[0011] According to the present disclosure, the accuracy of predicting the life of a secondary battery can be improved.

Brief Description of the Drawings

[0012]

Figure 1

Figure 2

Figure 3

Figure 4

Figure 5

Figure 6

Embodiments for Carrying Out the Invention

[0013] Hereinafter, embodiments of the present disclosure will be described with reference to the drawings. The present disclosure is not limited to the following embodiments, and various modifications can be made without departing from the gist of the present disclosure. Further, the present disclosure includes all combinations of configurations that can be combined among the configurations shown in the following embodiments. Also, in each figure, those with the same reference numerals are the same or corresponding ones, which is common throughout the entire specification.

[0014] [Configuration of Power Storage Device 100] FIG. 1 is a block diagram showing an example of the configuration of a power storage device 100 according to the present embodiment. As shown in FIG. 1, the power storage device 100 includes a control device 1 and a secondary battery 2.

[0015] (Control Device 1) The control device 1 controls the entire power storage device 100. The control device 1 includes a microcomputer (hereinafter, appropriately referred to as a "microcontroller") 10, a storage unit 20, a detection unit 30, an RTC (Real Time Clock) circuit 40, and a communication interface (hereinafter, appropriately referred to as a "communication I / F") 50. Note that in FIG. 1, only the processing units related to the features of the present embodiment among the functions provided in the control device 1 are shown.

[0016] The detection unit 30 is, for example, a sensor group composed of various sensors. For example, the detection unit 30 functions as an ammeter and a thermometer, and detects the current and temperature of the secondary battery 2. Then, the detection unit 30 outputs the detected current and temperature of the secondary battery 2 to the microcontroller 10.

[0017] The RTC circuit 40 is configured to include a clock IC (Integrated Circuit) including an oscillation circuit and the like. In this case, the RTC circuit 40 generates a clock signal for measuring time, and measures the time including the current date such as year, month, day, hour, minute, and second. Then, the RTC circuit 40 outputs the measured current time to the microcontroller 10 as date and time information.

[0018] The communication I / F 50 acquires date and time information from the outside via a network (not shown). For example, the communication I / F 50 acquires the time including the current date transmitted from an NTP (Network Time Protocol) server via the network. Then, the communication I / F 50 outputs the acquired time to the microcontroller 10 as date and time information.

[0019] In the present embodiment, the RTC circuit 40 and the communication I / F 50 correspond to the "date and time information acquisition unit" of the present disclosure. The control device 1 may have at least one of the RTC circuit 40 and the communication I / F 50, or may have both, depending on, for example, the method of acquiring date and time information.

[0020] For example, when the control device 1 is in an online state connected to a network, the control device 1 acquires date and time information using the communication I / F 50. Also, for example, when the control device 1 is in an offline state, the control device 1 acquires date and time information using the RTC circuit 40.

[0021] The microcomputer 10 performs a life prediction process for predicting the life of the secondary battery 2 based on the date and time information received from the RTC circuit 40 or the communication I / F 50, which is a date and time information acquisition unit, and the current and temperature of the secondary battery 2 detected by the detection unit 30. Details of the life prediction process will be described later. The microcomputer 10 includes a degradation calculation unit 11, a life prediction unit 12, and a timer 13.

[0022] The degradation calculation unit 11 calculates the degradation degree of the secondary battery 2 based on the date and time information and the battery temperature of the secondary battery 2. In the present embodiment, the degradation calculation unit 11 calculates the in-operation degradation degree and the non-operation degradation degree, and the ongoing degradation degree including the in-operation degradation degree and the non-operation degradation degree.

[0023] The in-operation degradation degree indicates the degree of degradation of the secondary battery 2 that occurs during the operation period, which is the period when the power storage device 100 is operating. The non-operation degradation degree indicates the degree of degradation of the secondary battery 2 that occurs during the non-operation period, which is the period when the power storage device 100 is not operating. The ongoing degradation degree indicates the degree of degradation of the secondary battery 2 from when the power storage device 100 was completed to the present. The ongoing degradation degree is represented by the sum of the in-operation degradation degree and the non-operation degradation degree.

[0024] The life prediction unit 12 calculates the predicted life of the secondary battery 2. The predicted life indicates the future life of the secondary battery 2 from the point in time when the life prediction unit 12 starts the prediction. In the present embodiment, the life prediction unit 12 calculates the predicted life of the secondary battery 2 based on the in-operation degradation degree and the ongoing degradation degree calculated by the degradation calculation unit 11, and the operation time, which is the time when the power storage device 100 is operating.

[0025] Timer 13 counts various times. Specifically, for example, Timer 13 counts the elapsed time since the use of the power storage device 100 was started. Also, Timer 13 functions as a date and time information acquisition unit, and can count the time and the like serving as date and time information instead of the RTC circuit 40 and the communication I / F 50.

[0026] FIG. 2 is a block diagram showing an example of the main part of the control system of the microcomputer 10 according to the present embodiment. As shown in FIG. 2, the microcomputer 10 includes a CPU (Central Processing Unit) 1001, a ROM (Read Only Memory) 1002, a RAM (Random Access Memory) 1003, and the like. Each part constituting the control device 1 is connected by a bus 1005. Also, a storage device 1004 corresponding to the storage unit 20 in FIG. 1 is connected to the bus 1005.

[0027] The CPU 1001 reads out a program corresponding to the processing content from the ROM 1002 and expands it in the RAM 1003, and controls the operation of the power storage device 100 in cooperation with the expanded program. The storage device 1004 stores various data used for the calculation and the like of the CPU 1001.

[0028] Returning to FIG. 1 for explanation, the storage unit 20 is composed of, for example, a non-volatile semiconductor memory (so-called flash memory), an HDD (Hard Disk Drive), an SSD (Solid State Drive), or the like. The storage unit 20 stores various data used by the deterioration calculation unit 11 and the life prediction unit 12. Also, the storage unit 20 stores various degrees of deterioration calculated by the deterioration calculation unit 11, the battery temperature of the secondary battery 2 when the degree of deterioration was calculated, and the predicted life calculated by the life prediction unit 12.

[0029] (Secondary battery 2) The secondary battery 2 is a rechargeable battery and is composed of one or more secondary battery cells. When the secondary battery 2 is composed of a plurality of secondary battery cells, the secondary battery 2 is configured, for example, by connecting the secondary battery cells in series. The secondary battery 2 is, for example, a nickel-metal hydride secondary battery. Note that the type of the secondary battery 2 is not limited to this example, and it may be a secondary battery other than a nickel-metal hydride secondary battery such as a lithium-ion secondary battery.

[0030] In this example, one secondary battery 2 is provided, but it is not limited to this, and two or more secondary batteries 2 may be provided. When a plurality of secondary batteries 2 are provided, the plurality of secondary batteries 2 are connected in series or in parallel, for example.

[0031] [Lifetime prediction of the secondary battery 2] A method for predicting the lifetime by the power storage device 100 having the above configuration will be described. Usually, the secondary battery 2 is determined to have reached the end of its life when deterioration progresses and the degree of deterioration exceeds a predetermined value. The predetermined value for determining the lifetime of the secondary battery 2 is preset in advance as a lifetime threshold with respect to the degree of deterioration.

[0032] Therefore, the lifetime prediction of the secondary battery 2 is to predict the period until the degree of deterioration reaches the lifetime threshold from the current value. If the degree of deterioration of the secondary battery 2 can be calculated with high accuracy, the predicted lifetime can also be calculated with high accuracy. Hereinafter, a conventional method for calculating the degree of deterioration and a method for calculating the degree of deterioration according to the present embodiment will be described.

[0033] (Calculation of the degree of deterioration of the conventional secondary battery 2) FIG. 3 is a graph for explaining the degree of deterioration of the secondary battery 2 in a conventional power storage device. In FIG. 3, the vertical axis represents the degree of deterioration of the secondary battery 2, and the horizontal axis represents time.

[0034] As shown in FIG. 3, for a conventional power storage device, the degree of degradation during operation is calculated assuming that use starts from the time of completion. At this time, in the conventional power storage device, it is assumed that the secondary battery 2 does not deteriorate during a non-operating period such as when it is shut down, and the degree of degradation is calculated only during the operating period excluding the non-operating period.

[0035] Specifically, in the conventional power storage device, it is assumed that the secondary battery 2 does not deteriorate during the shutdown period, which is a non-operating period when the power storage device is not operating. Therefore, the shutdown period is excluded from the calculation target of the degree of degradation. Also, in the conventional power storage device, since the completion date is assumed to be the start date of use, an inventory period, which is a non-operating period from completion to the actual start of use, is not set.

[0036] Therefore, when calculating the degree of degradation of the secondary battery 2, as shown in the lower diagram of FIG. 3, the degree of degradation corresponding to the period obtained by accumulating the operating period from the completion date to the present is calculated with the non-operating period including the inventory period and the shutdown period excluded from the calculation target of the degree of degradation. That is, in the conventional power storage device, only the degradation during operation is considered, and the in-operation degradation degree indicating the degree of degradation during the period obtained by accumulating the operating period is calculated.

[0037] And when the current degree of degradation (in-operation degradation degree) of the secondary battery 2 is calculated in this way, life prediction is performed based on the calculation result. In life prediction, the future degree of degradation is estimated, and the period until the estimated degree of degradation reaches the life threshold is calculated as the predicted life.

[0038] In this way, in the conventional power storage device 100, when calculating the degree of degradation of the secondary battery 2, the degree of degradation during non-operation is excluded. As a result, the error in the calculated degree of degradation increases, so the accuracy of life prediction may decrease.

[0039] (Calculation of the degree of degradation of the secondary battery 2 according to the present embodiment) In contrast, in the present embodiment, the degree of deterioration of the secondary battery 2 is calculated so as to include a non-operating period including an inventory period and a shutdown period as a target for calculating the degree of deterioration, and the remaining life is predicted.

[0040] FIG. 4 is a graph for explaining the degree of deterioration of the secondary battery 2 in the power storage device 100 according to the present embodiment. In FIG. 4, the vertical axis represents the degree of deterioration of the secondary battery 2, and the horizontal axis represents time.

[0041] As shown in FIG. 4, the power storage device 100 according to the present embodiment calculates the degree of deterioration during operation of the secondary battery 2, similarly to a conventional power storage device. Further, the power storage device 100 calculates the degree of deterioration during non-operation in addition to the degree of deterioration during operation. Then, the power storage device 100 calculates the degree of deterioration in progress, which is the sum of the degree of deterioration during operation and the degree of deterioration during non-operation, as the degree of deterioration from the completed time to the present.

[0042] The degree of deterioration during non-operation indicates the degree of deterioration during non-operation of the power storage device 100, including the degree of deterioration during the inventory period, which is the degree of deterioration of the secondary battery 2 during the inventory period, and the degree of deterioration during shutdown, which is the degree of deterioration of the secondary battery 2 during the shutdown period. The degree of deterioration during the inventory period is calculated based on the period from the completion date of the power storage device 100 to the start date of use and the storage temperature, which is the environmental temperature when it is assumed that the power storage device 100 was stored at a constant temperature during the inventory period.

[0043] The completion date and the start date of use are obtained by a date and time information acquisition unit such as the RTC circuit 40 or the communication I / F 50, or by the function of the timer 13 mounted on the microcomputer 10. The environmental temperature during the inventory period is set by the user, for example, and stored in advance in the storage unit 20.

[0044] The degree of deterioration during the inventory period thus obtained is stored in the storage unit 20 as an initial value of the degree of deterioration during non-operation.

[0045] During shutdown, the degradation degree is calculated based on the shutdown period, which is the period from shutdown to restart, and the temperature of the secondary battery 2 during shutdown. The shutdown period is obtained by means of a date and time information acquisition unit such as the RTC circuit 40 or the communication I / F 50, or the function of the timer 13 mounted on the microcomputer 10. The temperature during the shutdown period can be obtained, for example, by using the average value of the temperature of the secondary battery 2 at the time of shutdown and the temperature of the secondary battery 2 at the time of startup.

[0046] The degradation degree during shutdown thus obtained is integrated into the degradation degree during inactivity stored in the storage unit 20.

[0047] Then, when the current ongoing degradation degree of the secondary battery 2 is calculated, life prediction is performed based on the calculation result. In life prediction, the degradation degree is estimated, and the period until the estimated degradation degree reaches the life threshold is predicted.

[0048] Thus, in the power storage device 100 according to the present embodiment, when calculating the degradation degree of the secondary battery 2, the ongoing degradation degree including the degradation degree during inactivity is calculated. As a result, the current degradation degree can be calculated more accurately, so that the accuracy of life prediction can be improved.

[0049] (Life prediction process) Next, the life prediction process by the power storage device 100 according to the present embodiment will be described. FIG. 5 is a flowchart showing an example of the flow of the life prediction process by the power storage device 100 according to the present embodiment.

[0050] First, when the power storage device 100 is completed, in step S1, the microcomputer 10 receives the date and time information at the time when the power storage device 100 is completed from the RTC circuit 40 or the communication I / F 50. Note that the date and time information is not limited to this, and may be obtained, for example, based on the count value by the timer 13. Then, the microcomputer 10 acquires the completion date of the power storage device 100 based on the received date and time information and stores it in the storage unit 20. After that, the completed power storage device 100 is stored.

[0051] Next, when the use of the stored power storage device 100 is started, in step S2, the microcomputer 10 receives the date and time information at the time when the use of the power storage device 100 is started from the RTC circuit 40 or the communication I / F 50. Then, based on the received date and time information, the microcomputer 10 acquires the start date of use of the power storage device 100 and stores it in the storage unit 20.

[0052] In step S3, the microcomputer 10 reads out from the storage unit 20 the completion date, the start date of use, and the storage temperature indicating the environmental temperature during storage in the power storage device 100 that has been preset. In step S4, the microcomputer 10 calculates the inventory period based on the completion date and the start date of use read out from the storage unit 20.

[0053] In step S5, the deterioration calculation unit 11 of the microcomputer 10 calculates the deterioration degree during the inventory period based on the storage temperature read out from the storage unit 20 in step S3 and the inventory period calculated in step S4. Then, in step S6, the deterioration calculation unit 11 stores the calculated deterioration degree during the inventory period in the storage unit 20 as the initial value of the deterioration degree during non-operation.

[0054] Next, in step S7, the microcomputer 10 counts the elapsed time since the start of use of the power storage device 100 using the timer 13. In step S8, the microcomputer 10 determines whether or not a predetermined time has elapsed based on the counting of the elapsed time by the timer 13.

[0055] If the predetermined time has not elapsed (step S8: No), the process returns to step S8, and the process of step S8 is repeated until the predetermined time elapses. On the other hand, if the predetermined time has elapsed (step S8: Yes), in step S9, the microcomputer 10 measures the battery temperature of the secondary battery 2 mounted on the power storage device 100 using the detection unit 30.

[0056] In step S10, the degradation calculation unit 11 calculates the in-operation degradation degree based on the operation time counted by the timer 13 and the battery temperature measured in step S9. Then, in step S11, the microcomputer 10 stores the calculated in-operation degradation degree, battery temperature, and operation time in the storage unit 20.

[0057] Next, in step S12, the degradation calculation unit 11 reads out the non-operation degradation degree stored in the storage unit 20. In step S13, the degradation calculation unit 11 adds the calculated in-operation degradation degree and the non-operation degradation degree read from the storage unit 20 to calculate the ongoing degradation degree.

[0058] In step S14, the remaining life prediction unit 12 calculates the predicted remaining life based on the in-operation degradation degree, operation time, and ongoing degradation degree. Then, the process returns to step S7.

[0059] Here, when a non-operation operation such as shutdown is performed during the operation of the power storage device 100, the power storage device 100 performs a process for updating the non-operation degradation degree in addition to the above-described process.

[0060] FIG. 6 is a flowchart showing an example of the flow of the process for calculating the non-operation degradation degree by the power storage device 100 according to the present embodiment.

[0061] In step S21, the microcomputer 10 determines whether the power storage device 100 is shut down as a non-operation operation. If the power storage device 100 is not shut down (step S21: No), the process returns to step S21, and the process of step S21 is repeated until the power storage device 100 is shut down.

[0062] On the other hand, when the power storage device 100 is shut down (step S21: Yes), the microcomputer 10 receives, in step S22, the date and time information at the time of shutdown from the RTC circuit 40 or the communication I / F 50 to obtain the shutdown date and time. Further, the microcomputer 10 measures the battery temperature of the secondary battery 2 at the time of shutdown using the detection unit 30. Then, in step S23, the microcomputer 10 stores the obtained shutdown date and time and the battery temperature at the time of shutdown in the storage unit 20.

[0063] Note that in this example, in step S22 and step S23, the shutdown date and time and the battery temperature at the time of shutdown are obtained and stored in the storage unit 20. However, this is not limited to this example. For example, the shutdown date and time and the battery temperature at the time of shutdown may be the information obtained immediately before shutdown. Specifically, the date and time information and the battery temperature periodically obtained in the process shown in FIG. 5 may be used as the shutdown date and time and the battery temperature at the time of shutdown.

[0064] Next, in step S24, the microcomputer 10 determines whether the power storage device 100 has been started. If the power storage device 100 has not been started (step S24: No), the process returns to step S24, and the process of step S24 is repeated until the power storage device 100 is started.

[0065] On the other hand, when the power storage device 100 is started (step S24: Yes), the microcomputer 10 reads out the shutdown date and time and the battery temperature at the time of shutdown stored in the storage unit 20 in step S25. In step S26, the microcomputer 10 receives the date and time information at the time of startup from the RTC circuit 40 or the communication I / F 50 to obtain the shutdown date and time. Further, the microcomputer 10 measures the battery temperature of the secondary battery 2 at the time of startup using the detection unit 30.

[0066] Then, in step S27, the microcomputer 10 causes the storage unit 20 to store the acquired activation date and time and the battery temperature at the time of activation. In step S28, the microcomputer 10 calculates the shutdown period based on the shutdown date and time and the activation date and time.

[0067] Also, in step S29, the microcomputer 10 calculates the battery temperature during the shutdown period based on the battery temperature at the time of shutdown and the battery temperature at the time of activation. The battery temperature during the shutdown period can be obtained, for example, by calculating the average value of the battery temperature at the time of shutdown and the battery temperature at the time of activation.

[0068] In step S30, the degradation calculation unit 11 calculates the degradation degree during shutdown based on the shutdown period calculated in step S28 and the battery temperature during the shutdown period calculated in step S29. Then, in step S31, the degradation calculation unit 11 integrates the calculated degradation degree during shutdown with the degradation degree during non-operation stored in the storage unit 20. As a result, the degradation degree during non-operation stored in the storage unit 20 is updated.

[0069] In this way, the power storage device 100 according to the present embodiment calculates the progress degradation degree, which is the sum of the degradation degree during operation and the degradation degree during non-operation, and predicts the life of the secondary battery 2 based on the calculated progress degradation degree.

[0070] Also, when a non-operation operation such as shutdown is performed during the operation of the power storage device 100, the power storage device 100 performs a process of calculating the degradation degree during non-operation at the time of shifting from the non-operation operation to the operation operation, and updates the degradation degree during non-operation. Then, the power storage device 100 calculates the progress degradation degree by adding the calculated degradation degree during operation and the degradation degree during non-operation, and performs a process of predicting the life using the result at a fixed cycle.

[0071] As a result, since the life of the secondary battery 2 considering the degradation degree during non-operation, which has not been considered conventionally, is predicted, the prediction accuracy can be improved.

Explanation of Reference Numerals

[0072] 1 Control device 2 Secondary battery 10 Microcomputer 11 Deterioration calculation unit 12 Life prediction unit 13 Timer 20 Memory unit 30 Detection unit 40 RTC circuit 50 Communication interface 100 Power storage device

Claims

1. A life prediction device for predicting the life of a secondary battery mounted on a power storage device, a degradation calculation unit that calculates a progress degradation degree indicating the degradation degree of the secondary battery from when the power storage device was completed to the present, including a non-operation degradation degree indicating the degradation degree of the secondary battery during non-operation of the power storage device; a life prediction unit that predicts the life of the secondary battery based on the calculated progress degradation degree; and comprising a life prediction device.

2. The degradation calculation unit calculates the non-operation degradation degree based on the battery temperature of the secondary battery during non-operation and the non-operation period during non-operation. The life prediction device according to claim 1.

3. The degradation calculation unit calculates a degradation degree during the inventory period based on the inventory period from the completion date to the start date of use of the power storage device and the battery temperature during the inventory period, calculates a degradation degree during shutdown based on the shutdown period from shutdown to startup of the power storage device and the battery temperature during the shutdown period, uses the degradation degree during the inventory period as an initial value of the non-operation degradation degree, and calculates the non-operation degradation degree by integrating the degradation degree during shutdown. The life prediction device according to claim 2.

4. further comprising a date and time information acquisition unit that acquires the date and time. The life prediction device according to claim 2.

5. The date and time information acquisition unit is an RTC. The life prediction device according to claim 4.

6. The date and time information acquisition unit is a communication interface that acquires the date and time from the outside. The life prediction device according to claim 4.

7. The degradation calculation unit calculates the ongoing degradation degree based on the in-operation degradation degree and the non-operation degradation degree of the secondary battery during the operation of the power storage device. The life prediction device according to claim 1.

8. The degradation calculation unit calculates the in-operation degradation degree based on the temperature and the operation period of the secondary battery during the operation of the power storage device. The life prediction device according to claim 7.

9. The life prediction unit predicts the life of the secondary battery based on the in-operation degradation degree, the ongoing degradation degree, and the operation time during operation. The life prediction device according to claim 7.

10. A secondary battery capable of charge and discharge, and the life prediction device according to claim 1 are provided. Power storage device.

11. A life prediction method for predicting the life of a secondary battery mounted on a power storage device, comprising: calculating an ongoing degradation degree indicating the degradation degree of the secondary battery from when the power storage device was completed to the present, including a non-operation degradation degree indicating the degradation degree of the secondary battery during non-operation of the power storage device; predicting the life of the secondary battery based on the calculated ongoing degradation degree. Life prediction method.

12. A program for causing a computer to execute the life prediction method according to claim 11.

Citation Information

Patent Citations

  • Secondary battery life prediction device, battery system, and secondary battery life prediction method

    JP2012181066A