Battery data extraction system and battery data extraction method

Abstract

To provide a battery data extraction system and a battery data extraction method that are capable of measuring a degradation state of a storage battery system over time by using little characteristic data.SOLUTION: According to an embodiment, a battery data extraction system includes a battery data extraction device and a communication device. The battery data extraction device has a data extraction unit that extracts characteristic data from battery data of a storage battery system generated in time series according to extraction conditions corresponding to a battery deterioration diagnosis method for the storage battery system having a plurality of cells. The communication device transmits the extracted data via a network.SELECTED DRAWING: Figure 1

Description

Technical Field

[0001] Embodiments of the present invention relate to a battery data extraction system and a battery data extraction method.

Background Art

[0002] A storage battery system is generally used as a distributed power source for maintaining the balance of power supply and demand. In addition, the operation of storage battery systems over a wide area, such as in-vehicle systems for railways, is being promoted. In the operation of such storage battery systems, it is required to measure and grasp the deterioration state of the storage battery over time and to take maintenance measures at appropriate times. For this reason, a storage battery system is configured with a storage device, and accumulated data is acquired via a network.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] However, if all battery data is transmitted, there is a risk that the transmission / reception load will increase or the data capacity to be recorded will increase.

[0005] In order to solve such problems, the problem in the present embodiment is to provide a battery data extraction system and a battery data extraction method capable of observing the deterioration state of a storage battery system over time by using less battery data.

Means for Solving the Problems

[0006] According to the present embodiment, the battery data extraction system includes a battery data extraction device and a communication device. The battery data extraction device has a data extraction unit that extracts characteristic data from the battery data of the battery energy storage system generated in time series according to extraction conditions corresponding to a battery degradation diagnosis method for a battery energy storage system having a plurality of cells. The communication device transmits the extracted characteristic data via a network.

Advantages of the Invention

[0007] By using less data, the degradation state of the battery energy storage system can be observed over time.

Brief Description of the Drawings

[0008]

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Embodiments for Carrying Out the Invention

[0009] Hereinafter, a battery data extraction system and a battery data extraction method according to an embodiment of the present invention will be described in detail with reference to the drawings. Note that the embodiments shown below are examples of embodiments of the present invention, and the present invention is not construed as being limited to these embodiments. In the drawings referred to in the present embodiment, the same parts or parts having the same functions are denoted by the same reference numerals or similar reference numerals, and the repeated description thereof may be omitted. In addition, the dimensional ratios in the drawings may be different from the actual ratios for convenience of explanation, or a part of the configuration may be omitted from the drawings.

[0010] (First Embodiment) [Configuration Example of Battery Management System] FIG. 1 is a block diagram showing a configuration example of a battery data extraction system 1 according to the present embodiment. The battery data extraction system 1 includes a plurality of data extraction systems 10 and a battery data management system 20. The battery data extraction system 1 is a system that can extract characteristic data of the plurality of data extraction systems 10 and manage the state of the storage battery system in the plurality of data extraction systems 10. Note that the number of data extraction systems 10 may be one or more. Hereinafter, for simplicity of explanation, in the present embodiment, an example in which there is one data extraction system 10 will be described.

[0011] The data extraction system 10 is a system capable of transmitting characteristic data to the battery data management system 20 according to the timing when the characteristic data necessary for the state determination of the storage battery system 100 is generated based on the extraction conditions. This data extraction system 10 is a system capable of extracting the characteristic data of cells that can be charged and discharged, and includes a storage battery system 100, a battery data extraction device 200, a battery information providing device 300, and a communication device 400.

[0012] The storage battery system 100 is a system having a storage function capable of charging and discharging. The battery data extraction device 200 is a device that extracts characteristic data based on extraction conditions from among the voltage, temperature, current, etc. of each cell 102 (described later in FIG. 2), which is battery data generated by the storage battery system 100. The battery information providing device 300 is a device that provides unique information, etc. for the characteristic data extracted by the battery data extraction device 200. The communication device 400 is a device that communicates with the battery data management system 20 by wireless or wired means. The communication device 400 can also communicate with the battery data management system 20 via a network.

[0013] In this embodiment, time-series data indicating the characteristics of the storage battery system 100 may be referred to as battery data, and data extracted or selected from the battery data may be referred to as characteristic data. Also, in some cases, a numerical value calculated using at least one of the battery data and the characteristic data may be referred to as characteristic data.

[0014] The battery data management system 20 is a system capable of determining the state of the storage battery system 100, and the battery data management system 20 includes a battery degradation diagnosis device 500, a battery data management device 600, and a display device 700.

[0015] The battery degradation diagnosis device 500 is a device that performs degradation diagnosis using characteristic data based on the provided information, for example, on the cloud. The battery data management device 600 is a device that, for example, on the cloud, associates the unique information given to the characteristic data by the battery information providing device 300 with the degradation diagnosis result output from the battery degradation diagnosis device 500 using the characteristic data, and manages the data in time series. The display device 700 is, for example, a monitor, and is a device capable of displaying the information possessed by the battery data management device 600.

[0016] [Configuration example of the energy storage battery system] Here, the details of the energy storage battery system 100 will be described with reference to FIG. 2. FIG. 2 is a block diagram showing a configuration example of the energy storage battery system 100. As shown in FIG. 2, this energy storage battery system 100 includes a plurality of cells 102 (an example of a battery), a plurality of CMUs (Cell Monitoring Units) 104, and a BMU (Battery Management Unit) 106. The cell 102 is an energy storage function unit capable of charging and discharging.

[0017] The CMU 104 measures the voltage and temperature of the subordinate cells 102. The subordinate cells 102 may be single or in a multi-series multi-parallel configuration. In the case of a multi-series multi-parallel configuration, the voltage and temperature of each cell 102 are measured respectively. The BMU 106 monitors and controls the voltage and temperature of each cell 102 received from the CMU 104 and the current measured by the current sensor installed in the BMU.

[0018] [Configuration example of the battery data extraction device] FIG. 3 is a block diagram showing a configuration example of the battery data extraction device 200. As shown in FIG. 3, this battery data extraction device 200 includes a transmission / reception unit 202, a data extraction unit 204, an extraction condition setting unit 206, and a storage unit 208. The transmission / reception unit 202 is an interface that communicates with the energy storage battery system 100 and the battery information providing device 300.

[0019] The data extraction unit 204 extracts characteristic data for evaluating the characteristics of each cell 102 in the storage battery system 100 according to a plurality of extraction conditions (trigger conditions) A to Z. The data extraction unit 204 extracts data required for calculations such as internal resistance and battery capacity according to the extraction conditions A to Z, and transmits the data to the battery information providing device 300. As a result, it is not necessary to accumulate or transmit all the data. That is, battery degradation diagnosis can be performed by transmitting less data and accumulating data.

[0020] The characteristic evaluation of the characteristic data is evaluated by, for example, internal resistance, battery degradation degree, battery capacity, battery operation time, resistance change rate, capacity change rate, maximum operation temperature, minimum operation temperature, integrated current usage amount, battery usage intensity, etc., and the data required for the evaluation is extracted. Note that these are examples, and the data extraction unit 204 can extract the characteristic data required for the characteristic evaluation of each cell 102. Further, the data extraction unit 204 may have a function of performing simple calculations such as addition and subtraction.

[0021] [Example of extraction conditions] FIG. 4 is a diagram showing an example of the extraction conditions set by the extraction condition setting unit 206 for the data extraction unit 204. As shown in FIG. 4, the extraction condition setting unit 206 sets the extraction conditions A to Z supplied from the battery data management system 20 for the data extraction unit 204. Note that one or more extraction conditions are set according to the diagnosis purpose of the storage battery system 100.

[0022] These extraction conditions A to Z correspond to the deterioration diagnosis methods (diagnostic algorithms) of the battery deterioration diagnosis device 500 of the battery data management system 20, respectively. The evaluation of the deterioration state of the characteristic data varies depending on the purpose. For example, as the storage battery system 100 deteriorates, the battery capacity decreases and the internal resistance increases. Their progress varies depending on the type of storage battery, operation method, usage environment, etc., and which of "the decrease in battery capacity" and "the increase in internal resistance" is emphasized depends on, for example, the target application. For example, in a storage battery that requires high output power as an auxiliary function of an engine, an increase in internal resistance may cause a problem that the required power cannot be output, so the estimation of the internal resistance is emphasized. On the other hand, in power system applications such as fluctuation compensation and peak shifting of renewable energy generation, since the operation involves inputting and outputting electric energy (Wh) in a wide range of state of charge (hereinafter referred to as SOC: State Of Charge), the estimation of the battery capacity is emphasized.

[0023] In this embodiment, the extraction condition setting unit 206 can set the extraction conditions A to Z corresponding to the evaluation of the deterioration state according to the purpose in the data extraction unit 204. Thereby, for example, even when the same type of storage battery system 100 is supplied to the market, it is possible to set extraction conditions adapted to the operation method, usage environment, etc. used. As a result, it becomes possible to extract characteristic data more efficiently. Also, even when a new battery deterioration diagnosis algorithm is developed, it is possible to respond immediately.

[0024] The storage unit 208 can store, for example, the extraction conditions acquired by the extraction condition setting unit 206. Further, when time-series characteristic data, integrated values, etc. are required for the extraction conditions, the storage unit 208 can store the necessary data temporarily. For example, as will be described later, it is possible to store and continuously update the battery data for 16 seconds in time series. Also, it is possible to store the current integrated value, etc. for the calculation of the battery capacity. Even in such a case, the storage unit 208 can be configured with a capacity, for example, one ten-thousandth, compared to the case of storing all the data.

[0025] FIG. 5 is a diagram showing an example of extraction data according to extraction condition A. As an example of extraction condition A, time-series battery data from 10:00:00 to 10:00:15 is shown. The figure (left) is the original battery data. When the extraction condition is that the current changes from zero to 20 A or more with respect to the original battery data, and the characteristic data for 2 seconds before and after that time is extracted, the figure (right) is the extracted characteristic data. For example, the time-series battery data from 10:00:00 to 10:00:15 is an example of time-series data temporarily stored in the storage unit 208.

[0026] The extraction condition example A is an example of data used for diagnosing, for example, the "internal resistance" of the cell 102. For example, the voltage at the time when the change is 20 A or more indicates the characteristic information of the "internal resistance" as an excessive characteristic at the start of charging of the cell 102. That is, as the voltage increases, the cell 102 indicates that the "internal resistance" is higher. Even when obtaining the characteristic information of the "internal resistance", according to the extraction condition example A, the extraction condition can be set to a range where the characteristic information can be obtained more efficiently. Therefore, for example, the characteristic evaluation can be performed with the characteristic data for 5 seconds.

[0027] FIG. 6 is a diagram showing an example of extraction data according to extraction condition B. As an example of extraction condition B, time-series battery data from 10:00:00 to 10:00:15 is shown. The figure (left) is the original battery data, while when the time period of 5 seconds is set as the extraction condition, the figure (right) is the characteristic data extracted according to that condition.

[0028] The extraction condition example B is an example of data used for diagnosing, for example, the temperature at the time of stop of the cell 102. For example, there is a statistical formula for evaluating the deterioration of the cell 102 based on the temperature at the time of stop, and this is an example of data used in that statistical formula. For example, the higher the temperature at the time of stop of the cell 102, the more the cell 102 tends to deteriorate. Even when obtaining the characteristic information for the statistical formula, according to the extraction condition example B, the extraction condition can be set to a range where the characteristic information can be obtained more efficiently. Therefore, for example, the characteristic evaluation can be performed with the characteristic data for 4 seconds.

[0029] FIG. 7 is a diagram showing an example of extraction data according to extraction condition C. As an example of extraction condition C, time-series battery data from 10:00:00 to 10:00:15 is shown. While the figure (left) is the original battery data, when the extraction condition is set to extract the state where the current changes from flowing to zero and continues for 5 seconds, the figure (right) becomes the characteristic data extracted according to that condition. Extraction condition example C is an example of data used for diagnosing the "battery capacity" represented by, for example, equation (1) of cell 102.

[0030] FIG. 8 is a diagram showing a linear relationship with DSOC in a static state with Ti placed at the origin. The horizontal axis represents time, and the vertical axis represents DSOC (Ti - Ti - n). It has been verified in recent research that the "battery capacity" can be calculated more accurately using DSOC (Deviation of SOC) in a static state.

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[0031] Even when calculating the "battery capacity" using the SOC difference in the static state, according to the extraction condition example C, the extraction conditions can be set within a range where characteristic information can be obtained more efficiently. As a result, for example, it becomes possible to perform degradation diagnosis using the characteristic data for one second and the data of the current integration value (Equation 2) as the characteristic data. Also, since the extraction conditions acquired by the extraction condition setting unit 206 can be set in the data extraction unit 204, it is possible to support the latest diagnosis algorithms. Note that in the following figures including FIG. 7, the current integration value is not shown.

[0032] [Configuration Example of Battery Information Providing Device] FIG. 9 is a block diagram showing a configuration example of the battery information providing device 300. As shown in FIG. 9, this battery information providing device 300 includes a transmission / reception unit 302, an information providing unit 304, and a storage unit 306. The transmission / reception unit 202 is an interface and communicates between the battery information providing device 300 and the communication device 400.

[0033] FIG. 10 is a diagram showing an example of extraction data according to a plurality of extraction conditions. As shown in FIG. 10, the battery information providing device 300 provides information that can determine which battery degradation diagnosis method should be applied to the extracted characteristic data.

[0034] When a plurality of battery degradation diagnosis methods are installed in the battery degradation diagnosis device 500, the extraction conditions are different for each. In this case, even if the characteristic data extracted under each condition is transmitted to the battery degradation diagnosis device 500, it becomes impossible to determine which characteristic data is applicable to which battery degradation diagnosis method. Therefore, the battery information providing device 300 provides information that can determine which battery degradation diagnosis method should be applied to the extracted characteristic data.

[0035] The left figure in Fig. 10 is the original battery data. For this original battery data, extraction condition A extracts characteristic data applicable to battery degradation diagnosis method A. A flag A is attached to the characteristic data extracted by extraction condition A as information indicating that it is applicable to battery degradation diagnosis method A. Similarly, a flag B is attached to the characteristic data applicable to battery degradation diagnosis method B extracted by extraction condition B, and a flag C is attached to the characteristic data applicable to battery degradation diagnosis method C extracted by extraction condition C. When the characteristic data with flag information is at the same timing (cases like 10:00:05 or 10:00:15), the flag information is attached so that it can be seen that it is applicable to multiple battery degradation diagnosis methods. In this way, only the characteristic data with flag information that can determine which battery degradation diagnosis method should be applied to the extracted characteristic data is transmitted to the battery degradation diagnosis device 500 on the cloud via the communication device 400.

[0036] The storage unit 306 stores, for example, the data transmitted from the battery data extraction device 200 for 20 seconds in time series. In the battery data extraction device 200, only data for 20 seconds in time series is stored temporarily. These data can be used when the above-mentioned battery degradation diagnosis device 500 attaches information that can determine which battery degradation diagnosis method should be applied to the extracted characteristic data.

[0037] In this way, since the data extraction system 10 extracts and transmits only the characteristic data necessary for livestock degradation diagnosis, it can reduce the transmission and reception load of the characteristic data and significantly reduce the data capacity to be recorded. Furthermore, the accuracy of degradation diagnosis can be maintained while reducing the data capacity.

[0038] [Configuration Example of Battery Degradation Diagnosis Device] Fig. 11 is a block diagram showing a configuration example of the battery degradation diagnosis device 500. As shown in Fig. 11, this battery degradation diagnosis device 500 includes a communication unit 502, a diagnosis unit 504, and a storage unit 506. The communication unit 502 communicates with the communication device 400 by wire or wirelessly.

[0039] The diagnosis unit 504 includes a plurality of degradation diagnosis processing units corresponding to the power storage system 100. The plurality of degradation diagnosis processing units are capable of performing degradation diagnosis processing corresponding to, for example, the above-described extraction conditions A to Z (see FIG. 4). The battery degradation diagnosis processing mounted on the battery degradation diagnosis device 500 is a process of calculating or estimating a battery degradation index (mainly battery capacity or internal resistance), and is not particularly limited. Further, the mounted battery degradation diagnosis processing can have one or more processes in accordance with the operation of the application on the cloud.

[0040] The storage unit 506 stores characteristic data in which identification flags are associated in time series (see FIG. 10). It is possible to include the integrated current value of the formula (2) in this characteristic data.

[0041] With such a configuration, the diagnosis unit 504 processes the characteristic data in which the identification flags are associated in time series using the degradation diagnosis processing corresponding to the identification flags of the characteristic data, and evaluates the degradation state of each cell 102. As this evaluation, the diagnosis unit 504 stores, in time series, calculation results such as "battery capacity" and "internal resistance", diagnosis results, etc. in the storage unit 506, and transmits them to the battery data management device 600 via the communication unit 502. For example, the diagnosis unit 504 compares the diagnosis threshold value associated with each cell 102 to be managed with the calculation result, and diagnoses it as, for example, a three-level state. More specifically, it is possible to perform diagnoses such as good, normal, and replacement required. In this way, a plurality of battery degradation diagnosis methods can be prepared on the cloud, and in order to perform degradation diagnosis there, a computing device and a large-capacity storage device for performing degradation diagnosis on the power storage system 100 side are not required, and the cost of the power storage system 100 can be reduced.

[0042] Further, the diagnosis unit 504 causes the storage unit 506 to store the extraction conditions corresponding to the identification flags. Then, the diagnosis unit 504 can supply the extraction conditions to the battery data extraction device 200 in accordance with a request from the battery data extraction device 200 side.

[0043] [Configuration Example of Battery Data Management Device] FIG. 12 is a block diagram showing a configuration example of the battery data management device 600. As shown in FIG. 12, this battery data management device 600 includes a communication unit 602, a notification unit 604, and a storage unit 606. The communication unit 602 communicates with the communication device 400 by wire or wirelessly.

[0044] The notification unit 604 transmits diagnostic information such as good, normal, and replacement required to the battery information providing device 300 via the communication unit 602 or the like, and stores it in the storage unit 606. That is, the storage unit 606 stores the diagnostic information of each cell in association with the time information. In addition, the notification unit 604 can also cause the display device 700 to display diagnostic information such as good, normal, and replacement required. The operator can grasp the state of the cell 102 in the power storage system 100.

[0045] On the other hand, the battery information providing device 300 that has received the diagnostic information stores the information in the storage unit 306. Based on the diagnostic information, the operator of the power storage system 100 can collect, replace, etc. the cell 102 in the power storage system 100.

[0046] The above is the description of this embodiment. Hereinafter, an example of the processing flow will be described. FIG. 13 is a flowchart showing an example of the processing of the battery data extraction device 200. As shown in FIG. 13, first, the extraction condition setting unit 206 of the battery data extraction device 200 acquires extraction conditions from the diagnostic unit 504 of the battery deterioration diagnosis device 500 via the communication device 400 (step S100). Subsequently, the extraction condition setting unit 206 sets the extraction conditions in the data extraction unit 204 and stores them in the storage unit 208 (step S102).

[0047] Next, the data extraction unit 204 extracts characteristic data according to the set extraction conditions (step S104) and transmits it to the battery information providing device 300 (step S106). Then, the data extraction unit 204 determines whether to continue the process (step S108). If it is determined to continue (NO in step S108), the process from step S104 is repeated. On the other hand, when the data extraction unit 204 determines to end (YES in step S108), the entire process ends.

[0048] FIG. 14 is a flowchart showing a processing example of the battery deterioration diagnosis device 500. As shown in FIG. 14, first, the diagnosis unit 504 of the battery deterioration diagnosis device 500 acquires the characteristic data extracted from the battery information providing device 300 via the communication unit 502 (step S200). Subsequently, the storage unit 506 stores the characteristic data associated with the identification flag in time series (step S202).

[0049] Next, the diagnosis unit 504 processes the characteristic data associated with the identification flag in time series using the deterioration diagnosis processing unit corresponding to the identification flag of the characteristic data, evaluates and diagnoses the deterioration state of each cell 102 (step S204). Next, the diagnosis unit 504 stores the diagnosis-related information in the storage unit 506 and outputs it to the battery data management device 600 via the communication unit 502 (step S206).

[0050] Then, the diagnosis unit 504 determines whether to continue the processing (step S208). If it is determined to continue (NO in step S208), the processing from step S200 is repeated. On the other hand, when the diagnosis unit 504 determines to end (YES in step S208), the overall processing ends.

[0051] As described above, according to the present embodiment, the battery data extraction device 200 extracts the characteristic data from the battery data of the battery system 100 generated in time series according to the extraction conditions A to Z corresponding to the battery deterioration diagnosis method for the battery system 100 having a plurality of cells 102 and transmits it via the network. Thereby, it becomes possible to observe the battery deterioration state of the battery system 100 with less data transmission and less data accumulation.

[0052] (Modification Example 1 of the First Embodiment) In the battery data extraction system 1 according to Modification Example 1 of the first embodiment, the battery information providing device 300 can further add the identification information of the asset management unit to the characteristic data, which is different from the battery data extraction system 1 according to the first embodiment. Hereinafter, the differences from the battery data extraction system 1 according to the first embodiment will be described.

[0053] FIG. 15 is a diagram showing an example of the processing result of the information providing unit 304 of the battery information providing device 300. As shown in FIG. 15, the information providing unit 304 according to Modification Example 1 of the first embodiment adds cell identification information and cell address information in addition to the flag information. The cell identification information is, for example, a serial number, which is a unique management number set for the cell 102.

[0054] The cell address information is information indicating the physical position of the asset management target. When the battery system mounted on the railway vehicle is the target, the cell address information gives the vehicle name / vehicle number / BMU number / CMU number as information that can identify the physical position of the cell. This item can be further subdivided for easier identification.

[0055] In the example of FIG. 15, the cell (cell identification information 0001) from which the characteristic data was extracted is shown to be located under the CMU number 10 connected to the BMU number 1 of the battery system mounted on the second vehicle of the vehicle name XX line. In this modification example, a railway vehicle is taken as an example, but it is not limited thereto. For example, the information providing unit 304 can similarly associate and provide information that can identify the physical position of the cell with the cell identification information for other applications. In this way, by adding the address information of the cell to the characteristic data (including the past usage history), asset management considering reuse and the like becomes possible.

[0056] Note that in the battery information providing device 300, it may also transmit the characteristic data by providing only the cell identification information. In this case, in the battery degradation diagnosis device 500 or the battery data management device 600 on the cloud, by referring to the battery layout information in which the cell identification information stored in advance is associated with the cell address information, it becomes possible to provide the cell address information corresponding to the cell identification information. As a result, since the characteristic data is transmitted to the cloud without providing the cell address information, it is possible to further reduce the transmission and reception load.

[0057] (Modification Example 2 of the First Embodiment) In the battery data extraction system 1 according to the modification example 2 of the first embodiment, the battery data extraction device 200 and the battery information providing device 300 are configured on the cloud side, which is different from the battery data extraction system 1 according to the first embodiment. Hereinafter, the differences from the battery data extraction system 1 according to the first embodiment will be described.

[0058] FIG. 16 is a block diagram showing a configuration example of the battery data extraction system 1 according to the modification example 2 of the first embodiment. As shown in FIG. 16, the battery data extraction device 200 and the battery information providing device 300 are configured on the cloud side.

[0059] In the battery data extraction system 1 according to the first embodiment, the battery data extraction device 200 and the battery information providing device 300 were configured on the edge side. However, when applying the proposed system to the existing battery system 100 or when targeting the battery system 100 of other standards (for example, other companies), there is a risk that it may be difficult to configure the battery data extraction device 200 and the battery information providing device 300 on the edge side. On the other hand, as shown in FIG. 16, by configuring the battery data extraction device 200 and the battery information providing device 300 on the cloud side, it is possible to suppress being restricted by the configuration.

[0060] When the existing battery system 100 is of other standards, it may be difficult to extract detailed data such as the voltage, temperature, and current of each cell, which are characteristic data measured by the battery system 100. Therefore, in the battery data extraction device 200 according to the second modification of the first embodiment, the voltage, temperature, current, or values equivalent thereto of each cell 102 may be extracted. For example, when there is no data item for cell voltage, the maximum cell voltage, minimum cell voltage, etc. may be extracted, and when there is no data item for cell temperature, the highest cell temperature, lowest cell temperature, etc. may be extracted. As a result, the application range of the proposed system is expanded, and it becomes possible to perform deterioration diagnosis and data management of the battery system, which were difficult before.

[0061] As described above, several embodiments have been explained. However, these embodiments are presented only as examples and are not intended to limit the scope of the invention. The novel devices, methods, and programs described in this specification can be implemented in various other forms. Also, various omissions, substitutions, and changes can be made to the forms of the devices, methods, and programs described in this specification without departing from the gist of the invention.

Explanation of Reference Numerals

[0062] 1: Battery data extraction system, 100: Battery system, 102: Cell, 200: Battery data extraction device, 204: Data extraction unit, 206: Extraction condition setting unit, 300: Battery information providing device, 400: Communication device, 500: Battery deterioration diagnosis device, 600: Battery data management device, 700: Display device.

Claims

1. Battery data extraction system: A battery data extractor; A communication device, The battery data extraction device includes a data extraction unit that extracts characteristic data from battery data of the storage battery system generated in time series according to extraction conditions corresponding to a battery deterioration diagnosis method for the storage battery system having cells, The communication device transmits the extracted characteristic data via a network, in a battery data extraction system.

2. The battery data extraction system according to claim 1 , wherein the data extraction unit extracts characteristic data when the battery data matches extraction conditions set for each of a plurality of battery deterioration diagnosis methods.

3. The battery data extraction system according to claim 2 , wherein the data extraction unit extracts characteristic data required to estimate at least one of an internal resistance and a battery capacity of the cell.

4. 4. The battery data extraction system according to claim 3, wherein the storage battery system cell can be configured as a multi-series and multi-parallel configuration of multiple cells, and the data extraction unit sets an extraction condition that a current changes from a flowing state to zero and continues for a predetermined period of time in at least one cell among the multiple cells.

5. 2. The battery data extraction system according to claim 1, further comprising an extraction condition setting unit that sets extraction conditions for a battery deterioration diagnosis method in said data extraction unit.

6. The battery data extraction system according to claim 5 , wherein the extraction condition setting unit sets the extraction conditions acquired via a network in the data extraction unit.

7. a battery information providing device that provides information to the characteristic data; a battery deterioration diagnosis device that performs deterioration diagnosis using the characteristic data to which the additional information is added; a battery data management device that manages the characteristic data based on the assigned information; The battery data extraction system of claim 1 , further comprising:

8. 8. The battery data extraction system according to claim 7, wherein the communication device transmits the characteristic data and the additional information to the battery degradation diagnosis device via the network.

9. 8. The battery data extraction system according to claim 7, wherein the battery information providing device provides information on a battery deterioration diagnosis method to be applied to the extracted characteristic data.

10. The battery data extraction system according to claim 9 , wherein the battery information providing device provides identification information indicating at least one of the storage battery systems and address information which is information relating to a location of the storage battery system.

11. The battery data extraction system according to claim 7 , further comprising a display device that displays information stored in the battery data management device.

12. extracting characteristic data from battery data generated in a time series by a storage battery system according to extraction conditions corresponding to a battery deterioration diagnosis method for a storage battery system having a plurality of cells; transmitting the characteristic data over a network; A battery data extraction method comprising:

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