Charge / discharge test system

Abstract

To provide a charge / discharge test system that can output detailed data on long-term tests and abnormal conditions as desired, and can also perform detailed evaluations of current, voltage, temperature, etc.SOLUTION: A charge / discharge test system includes a test device 20-1 that connects secondary batteries 15-1...15-n to perform a charge / discharge test, and generates measurement data DT1 from signals indicating battery states provided by the test devices 20-1...20-m to analyze the data, determining battery characteristics. The charge / discharge test system comprises: the test device that acquires the measurement data at a first sampling interval f1; a mass storage device 1(100) for storing the measurement data; and evaluation data output means for extracting the measurement data at a second sampling interval f2 that is A times (A represents an integer equal to or greater than 2) the first sampling interval based on the stored measurement data, and outputting the measurement data as evaluation data DT2.SELECTED DRAWING: Figure 1

Description

[Technical field]

[0001] The present invention relates to a charge / discharge test system for performing a charge / discharge test on a charged object such as a secondary battery. [Background technology]

[0002] In recent years, the demand for electric vehicles has been increasing due to the tightening of global environmental regulations and the trend to reduce energy costs. Electric vehicles (EVs) and fuel cell vehicles (FCVs) do not emit any carbon dioxide (CO2) while driving, and the demand for them has been rapidly increasing due to the global movement toward decarbonization. An electric vehicle is a vehicle that can run using only the driving force of an electric motor. Electric vehicles (EVs) use secondary batteries (batteries) as the power source to supply the high-output motor for driving, and fuel cell vehicles (FCVs) use fuel cells. Demand for secondary batteries, which support electric vehicle (EV) technology, is also expanding significantly as a key device, while the demand for decarbonization and energy conservation is increasing as a total infrastructure that supports electric vehicles, from the mining of raw materials to manufacturing and reuse.

[0003] The same is true for testing facilities after battery production, and as facilities expand, there is a demand for further reductions in the running costs and energy savings of the equipment itself. Large-capacity secondary batteries used for vehicle electrification, etc. undergo long-term testing to ensure reliability, and evaluation tests are conducted to determine their characteristics from the huge amount of data obtained as a result. For example, secondary batteries are used under harsh conditions, such as being frequently charged and discharged and experiencing sudden load fluctuations, and therefore their quality is strictly controlled by conducting charge and discharge tests (called charge and discharge tests) using charge and discharge test equipment during production.

[0004] Patent Document 1 describes that since charging and discharging tests of secondary batteries take a long time and the transfer speed and acquisition frequency are limited, the device provides a low-speed measurement mode in which the characteristics of the secondary battery are measured and data is sent and received via LAN to a charging and discharging test device, and a high-speed measurement mode in which the measurement results are stored in a memory unit as analog signals via a system bus inside the control device.

[0005] Patent document 2 describes a method for improving the equipment operating rate by using a setting unit that sets a charge / discharge pattern corresponding to a test charge / discharge body that is the subject of a charge / discharge test among charge / discharge bodies, and generates a power prediction pattern based on the charge / discharge pattern. [Prior art documents] [Patent documents]

[0006] [Patent Document 1] JP 2016-121931 A [Patent Document 2] JP 2023-10581 A Summary of the Invention [Problem to be solved by the invention]

[0007] In the above conventional technology, the output data from the charge / discharge test system is stored in a HDD, which is a storage device of a control personal computer dedicated to the device, and is used for data analysis and diagnosis. Typically, data is acquired at a predetermined time interval (sampling interval) and recorded sequentially in the HDD.

[0008] Generally, battery evaluation tests using charge / discharge test equipment are often long-term tests, and shortening the sampling interval can result in a huge amount of acquired data, which can put a strain on HDD storage space and make data analysis too complicated. For this reason, there are cases where the sampling interval is set to a certain length (roughness), for example, about several seconds to several tens of seconds.

[0009] However, if the sampling interval is too long, there is a problem that events that occur between two sampling times (times) are not recorded. For example, even if a signal important for evaluating battery performance occurs between two sampling times, the signal is not recorded (because it is not a sampling time) and is overlooked. Furthermore, even if a device stops due to some kind of abnormality and one tries to look back in time to investigate the cause, if the sampling interval is too long, it is difficult to find signs that may have caused the abnormality (specific event).

[0010] On the other hand, shortening the sampling interval results in a huge amount of data. When the amount of data increases, it not only puts pressure on storage space, but also increases the time required to analyze the data (to extract specific events). Generally, battery evaluation tests are often performed simultaneously on the same or different batteries in parallel. In this case, if the amount of test data for one secondary battery increases, the amount of data handled in the entire evaluation test also increases significantly. Charge and discharge tests for secondary batteries are sometimes performed continuously for several months, making it cumbersome for users to analyze the huge amount of data obtained from these tests, and there was a problem that it took a long time to obtain the evaluation results.

[0011] The object of the present invention is to provide a charge / discharge test system which solves the above-mentioned problems of the conventional technology, is capable of long-term testing, can output detailed data on transient and abnormal conditions at will after testing, and can also perform detailed evaluation of changes in battery behavior (current, voltage, temperature, etc.) during testing. [Means for solving the problem]

[0012] The present invention which achieves the above object is as follows.

[0013] [1] A charge / discharge test system that connects a secondary battery to a test device for performing a charge / discharge test, and outputs evaluation data based on measurement data obtained by the test device that indicates a battery state for characteristic analysis of the secondary battery, the charge / discharge test system comprising: the test device that obtains the measurement data at a first sampling interval; a large-capacity storage device that stores the measurement data; and evaluation data output means that extracts the measurement data at a second sampling interval that is A times the first sampling interval (A is an integer equal to or greater than 2) based on the stored measurement data, and outputs the measurement data as evaluation data. [2] The charge / discharge test system described in [1] is characterized in that the test equipment has an AC power supply, an AC / DC converter, a plurality of charge / discharge devices bus-connected to the AC / DC converter, and a controller that controls the charge / discharge devices to perform a charge / discharge test on the secondary battery, and is further characterized by comprising: a control device connected to the test equipment via the controller and outputting to the controller a setting instruction for a charge / discharge pattern for the secondary battery; and the large-capacity storage device connected to the test equipment. [3] The charge / discharge test system according to [2], wherein the large-capacity storage device is connected to the test device via a network. [4] The charge / discharge test system according to [2], characterized in that the large-capacity storage device is connected to the test device via the control device. [5] The charge / discharge test system according to [1], wherein the evaluation data output means adjusts the magnitude of A based on a request from a user or a predetermined condition. [6] The charge / discharge test system described in [1], wherein the evaluation data output means re-extracts data from the measurement data for a predetermined time period at a third sampling interval that is B times the first sampling interval (B is an integer greater than or equal to 1 and less than the A) based on a request from a user or predetermined conditions, and outputs the data as second evaluation data. [7] The charge / discharge test system according to [6], further comprising a prediction unit that determines an abnormal characteristic pattern based on the measurement data by comparing it with a predetermined standard, and predicts or warns of an abnormal tendency. [8] The charge / discharge test system described in [7], wherein the prediction unit includes a trained model that has been machine-learned in advance using a training dataset in which the occurrence of anomalies in relation to the time-dependent changes in the measurement data is labeled, and the trained model predicts the abnormal trend based on the measurement data acquired by the test device. Effect of the Invention

[0014] According to the present invention, it is possible to provide a charge / discharge test system which is capable of long-term testing, can output detailed data on transient and abnormal conditions at will after testing, and can also perform detailed evaluation of changes in battery behavior (current, voltage, temperature, etc.) during testing. [Brief description of the drawings]

[0015] [Figure 1] FIG. 1 is a block diagram showing a main part according to an embodiment of the present invention. [Diagram 2] FIG. 4 is a block diagram showing a flow up to outputting evaluation data according to an embodiment of the present invention. [Diagram 3] 11A and 11B are explanatory diagrams showing the acquisition states of evaluation data and measurement data depending on differences in sampling intervals. [Figure 4] FIG. 4 is an explanatory diagram showing an acquisition state of measurement data according to an embodiment of the present invention. [Diagram 5] 6 is a graph showing an example of measurement data and evaluation data of a battery voltage and current versus time according to an embodiment; [Figure 6] FIG. 11 is an explanatory diagram showing an example of acquisition of second evaluation data when an abnormality occurs according to an embodiment. [Figure 7] FIG. 11 is an explanatory diagram showing details of an example of acquiring second evaluation data when an abnormality occurs according to an embodiment; [Figure 8] FIG. 13 is a time vs. voltage diagram illustrating an example of measurement data acquisition according to one embodiment. [Figure 9]FIG. 11 is a block diagram showing a main part according to another embodiment of the present invention. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0016] Hereinafter, an embodiment of the present invention will be described in detail with reference to the drawings. Fig. 1 is a block diagram showing a main part according to an embodiment of the present invention. A charge / discharge test system 10 performs charge / discharge tests in parallel on a plurality of secondary batteries 15-1, 15-2, 15-3, ... 15-n (n is an integer) that are to be subjected to the charge / discharge tests.

[0017] The secondary batteries 15-1, 15-2, 15-3, ... 15-n are various known secondary batteries such as lithium ion batteries, nickel metal hydride batteries, and all-solid-state N batteries, and are cell batteries that make up a high-voltage battery that supplies power to the drive motor of an electric vehicle, and for example, the cell batteries are stacked to become a high-voltage (100V or more, for example 200 to 400V) battery pack for use in an automobile.

[0018] Each of the test devices 20-1 to 20-m (m represents an integer) includes an AC (alternating current) power supply 11, an AC / DC (alternating current / direct current) converter 12, a controller 13, and a plurality of ET (Energy Testing System) devices (charging and discharging devices) 14-1, 14-2, 14-3, ..., 14-n. The test devices 20-1 to 20-m are connected to a network 2 via the controller 13. Note that the numbers represented by n and m may be the same or different.

[0019] The control device 3 is connected to the network 2, and inputs test conditions, etc. to the test devices 20-1 to 20-m. The AC / DC converter 12 is bus-connected to each of the multiple ET devices 14-1, 14-2, 14-3, ..., 14-n.

[0020] The controller 13 is a control device such as a programmable logic controller (PLC) that controls the multiple ET devices 14-1, 14-2, 14-3, ..., 14-n, and has a static RAM or SSD cache memory for temporarily storing data, a network controller, etc. The secondary batteries 15-1, 15-2, 15-3, ..., 15-n are connected to the ET devices 14-1, 14-2, 14-3, ..., 14-n, respectively.

[0021] Based on an input instruction from the control device 3, the controller 13 controls the AC / DC converter 12 and each of the ET devices 14-1, 14-2, 14-3, . . . 14-n to perform a charge / discharge test on the secondary batteries 15-1, 15-2, 15-3, .

[0022] The control device 3 is, for example, a PC, a terminal other than a PC, a mobile terminal, or a tablet. The control device 3 is connected to the controller 13 via a network, and includes an operation unit such as a keyboard and a mouse, and a display unit such as a display.

[0023] The control device 3 outputs, via an operation unit, an instruction to set each charge / discharge pattern for the secondary batteries 15-1, 15-2, 15-3, ..., 15-n of the ET devices 14-1, 14-2, 14-3, ..., 14-n to the controller 13. In response to this, the controller 13 sets each charge / discharge pattern for the secondary batteries 15-1, 15-2, 15-3, ..., 15-n to be tested for the ET devices 14-1, 14-2, 14-3, ..., 14-n.

[0024] The control device 3 is used for various operations of the test device 20-1, and its display is used for displaying various information, in addition to setting operations for individually setting the charge / discharge patterns of the secondary batteries 15-1, 15-2, 15-3, ..., 15-n by an operation unit. The control device 3 also manages information on devices present on the network 2 and configuration information of related services (IP addresses, port connection information, line information, etc.).

[0025] The secondary batteries 15-1, 15-2, 15-3, ..., 15-n are placed in a thermostatic chamber 16 and connected to the controller 13 via a temperature measuring unit 18 for temperature management. The temperature of the thermostatic chamber 16 is controlled by the controller 13 via a thermostatic chamber control unit 17. The ET devices 14-1, 14-2, 14-3, ..., 14-n charge and discharge (or perform a charge and discharge test) the secondary batteries 15-1, 15-2, 15-3, ..., 15-n in the thermostatic chamber 16 according to the charge and discharge patterns of the secondary batteries 15-1, 15-2, 15-3, ..., 15-n set by the controller 13.

[0026] The NAS server 1 is a storage device with a RAID function that can store and share files via the network 2, has functions specialized for file management, and is a large-capacity storage device equipped with a large-capacity HDD or SSD of several TB or more. Furthermore, it is preferable that the NAS server 1 has a function of managing backups and access rights, and a function of connecting to the network 2 from a remote location and remotely accessing the network as a virtual network or a remote desktop. These functions may be provided in the control device 3.

[0027] Furthermore, the NAS server 1 may be a cloud storage that provides computer resources and a service for storing and sharing files on the Internet in the form of a service by communicating with the client terminals 4 and 5 via the network 2. In this case, files are uploaded and downloaded via a web browser or an app.

[0028] When a virtual network is constructed in the NAS server 1 or the control device 3, recorded information is converted into a database by inserting data into a database management system within the virtual network, searching, and other operations, and various services are provided that enable objects such as HTML and images to be viewed and modified using a web browser on terminals 4 and 5.

[0029] 2 is a block diagram showing the flow up to outputting the evaluation data. First, the test conditions are input by the control device 3 (arrow AR1). The test conditions may include the overall test time, the first sampling interval (period) for acquiring the measurement data, etc. The first sampling interval is the shortest among the second and third sampling intervals described later, and is the basic sampling interval. The first sampling interval is not particularly limited, and may be set appropriately according to the hardware and software limitations of each component and the capacity of the large-capacity storage device. The first sampling interval may be a predetermined fixed value, and in this case, the test conditions may not include the first sampling interval.

[0030] Next, the test devices 20-1 to 20-m perform a charge / discharge test on the secondary batteries 15-1, 15-2, 15-3, . . . 15-n therein (arrow AR2). Next, the test devices 20-1 to 20-m obtain signals indicating battery states such as voltage and temperature from the secondary batteries 15-1, 15-2, 15-3, . . . 15-n at a first sampling interval, and acquire measurement data DT1 (arrow AR3).

[0031] Next, the control device 3 extracts measurement data at a second sampling interval based on the measurement data DT1 acquired at the first sampling interval, and creates evaluation data DT2 (arrow AR4). Here, the second sampling interval is set to A times the first sampling interval (A is an integer equal to or greater than 2). For example, if the first sampling interval is 100 milliseconds, the second sampling interval can be set to 10 times that interval, or 1000 milliseconds.

[0032] Through the above process, the number of data points included in the evaluation data DT2 is 1 / A times that of the measurement data DT1, making evaluation by the user easier. The obtained evaluation data DT2 is then output (arrow AR5). The second sampling interval may be set and stored in advance by the user, or may be determined in advance.

[0033] The evaluation data DT2 is more suitable for overlooking the change in the measured values ​​over time because the sampling interval (cycle) is set relatively long (rough). On the other hand, events that occur between the sampling times are not reflected. Therefore, if an abnormality occurs and the test is terminated, and you want to go back in time to investigate the symptoms of the abnormality, evaluation using data with a shorter sampling interval is more suitable.

[0034] 3A and 3B are explanatory diagrams showing the acquisition state of evaluation data and measurement data due to differences in sampling intervals, and Fig. 3A is an explanatory diagram of evaluation data DT2 extracted at a second sampling interval f2. The horizontal axis represents time T, and data is extracted at the second sampling interval f2 in the order of times t1, t2, and t3, which are set as evaluation data DT2. If the second sampling interval f2 is set to be sufficiently large, the evaluation data DT2 allows an understanding of the overall data trend throughout the entire test time.

[0035] On the other hand, if some abnormality occurs at time tx, the measurement value at the time of the abnormality occurrence may not be included in the evaluation data DT2. If an abnormality occurs (at time tx) after time t2 and the charge / discharge test system stops, the data at time t3 is not included in the evaluation data DT2, so it can be understood that "some abnormality occurred after time t2 and before time t3, and the test ended." However, it is difficult to obtain information such as when an abnormality actually occurred and the time ty at which the symptom occurred from the evaluation data DT2. In other words, if the test is completed normally without any problems, and if the evaluation data DT2 provides an overview of the entire test time, it can be said that sufficient data has been obtained for evaluating the performance of the secondary battery. However, if an abnormality occurs, the evaluation data DT2 alone may not be sufficient to determine the cause.

[0036] FIG. 3B is an explanatory diagram of the measurement data DT1 measured at the first sampling interval f1. Similarly, the horizontal axis represents time T, and data is acquired from time t1 to tq (q represents an integer) at a first sampling interval f1. According to the measurement data DT1, it is highly likely that data was acquired at the time (time tx) when the abnormality occurred or immediately prior to that time. Also, by investigating retroactively, it is possible to ascertain the time ty when the symptom occurred. On the other hand, in the conventional charge / discharge test system (with built-in memory device), the data capacity was often insufficient because all data was stored in the memory device 50. Also, because a lot of data was acquired, the analysis was likely to be complicated when trying to obtain data that overlooked the whole picture.

[0037] Furthermore, even if a user wishes to obtain measurement data within a specific range, for example, around time t3, the user must search for the measurement data around time t3 from a vast amount of data, which can be a cumbersome operation.

[0038] 4 is an explanatory diagram showing how measurement data is acquired in an embodiment of the charge / discharge test system of the present invention. The test devices 20-1 to 20-m acquire measurement data DT1 at a first sampling interval and store the data in the mass storage device 100. The mass storage device 100 corresponds to the NAS server 1 in the example shown in FIG.

[0039] The control device 3, which includes an evaluation data output means, extracts data from the measurement data DT1 stored in the mass storage device 100 at a second sampling interval in response to a request (arrow C1) from the terminals 4, 5 or in response to predetermined conditions, and outputs the data as evaluation data DT2. For example, if the second sampling interval is 10 times the first sampling interval, the evaluation data DT2 is output as data d-f10, if it is 100 times, as data d-f100, and if it is 1000 times, as data d-f1000.

[0040] Since the evaluation data DT2 is configured to be extracted based on the already acquired measurement data DT1, it can be output again from one measurement result as necessary. For example, if a relatively rough evaluation data DT2 is initially output as data d-f1000, and it is determined that detailed evaluation data DT2 during a transient or abnormal state is required, a finer (narrower) second sampling interval can be specified and the evaluation data DT2 can be output as, for example, data d-f100 or data d-f10. In other words, with one evaluation, it is possible to obtain detailed evaluation data on the overall characteristics and on battery abnormalities and transient changes even after the test. Because charge / discharge tests are conducted over a long period of time, being able to obtain various data from one test can be an important performance feature.

[0041] Figure 5 is a graph showing examples of measurement data and evaluation data, with battery voltage and current versus time. Figure 5(A) is a graph showing measurement data DT1 obtained at a first sampling interval f1. From this result, the details of the changes in the voltage and current of the secondary battery during the observation time (test time) of 0 to 1000 ms can be understood. On the other hand, Fig. 5(B) is a graph showing the evaluation data DT2 obtained at the second sampling interval f2. From this result, it can be seen that there is no significant change overall in the voltage and current of the secondary battery during the observation time (test time) of 0 to 1000 ms. If there is no abnormality in the battery state (each measurement data) of the secondary battery, obtaining the evaluation data DT2 is often sufficient for evaluating the performance of the secondary battery.

[0042] Fig. 6 is an explanatory diagram of an example of output of the second evaluation data. Fig. 6(A) is an explanatory diagram of measurement data DT1 measured at a first sampling interval f1, and Fig. 6(B) is an explanatory diagram of evaluation data DT2 extracted at a second sampling interval f2, which is A times (A is an integer equal to or greater than 2) the first sampling interval f1, based on the measurement data DT1.

[0043] The relationship between the measurement data DT1 and the evaluation data DT2 is as already described. By the control device 3 (where the evaluation data output means is implemented as application software or the like), data is extracted from the measurement data DT1 at a second sampling interval f2 that is A times the first sampling interval f1, and the evaluation data DT2 including the measured values of times t1, t2, and t3 is obtained.

[0044] FIG. 6(C) is an explanatory diagram of second evaluation data created by re-extracting data from the measurement data DT1 in the vicinity of the time tx when an abnormality occurred and the time ty when a signal indicating a sign thereof is obtained, at a third sampling interval f3. The above processing is performed by the control device 3 (where the evaluation data output means is implemented as application software or the like).

[0045] The second evaluation data DT3-1 is data extracted from the measurement data DT1 for the time near the time tx when an abnormality occurred. The third sampling interval f3 is set to be equal to or greater than the first sampling interval f1 and shorter than the second sampling interval f2. Specifically, the third sampling interval f3 is adjusted to be B times the first sampling interval f1. Here, since B is an integer satisfying 1 ≦ B < A, the third sampling interval f3 is shorter than the second sampling interval f2. Also, the second evaluation data DT3-2 is extracted from the measurement data DT1 in the vicinity of the time ty when a signal indicating a sign of the cause of the abnormality is obtained.

[0046] Since the range to be re-extracted for the second evaluation data DT3-1 and DT3-2 is limited to a predetermined time (the range of interest), even if the third sampling interval f3 is made closer to the first sampling interval f1, the number of data points of the data to be evaluated can be kept smaller, making the analysis easier. The range of the time to be re-extracted may be specified by the user. Also, the third sampling interval f3 may be determined according to a request from the user or may be predetermined.

[0047] Even if the user evaluates the characteristics of the secondary batteries 15-1, 15-2, 15-3, ... 15-n at the second sampling interval f2, when the user notices an abnormality, he or she can specify a predetermined time range and obtain detailed measurement data immediately before the abnormality from the mass storage device 100 as second evaluation data DT3-1, DT3-2.

[0048] According to the above configuration, the user can analyze the data of the abnormal battery with one evaluation data. Also, the user can obtain the measurement data several cycles before the abnormality as shown in FIG. 6(C). Then, the user can find the trend of the measurement data before the abnormality with one evaluation data, and can obtain the knowledge for prediction and warning.

[0049] Fig. 7 is an explanatory diagram showing details of an example of acquiring second evaluation data when an abnormality occurs. Fig. 7(A) is a diagram showing changes in voltage versus time of secondary batteries 15-1, 15-2, 15-3, ... 15-n. On the X-axis (time T), a first sampling interval f1 and a second sampling interval f2 are plotted.

[0050] Here, the voltage V1 and the voltage V2 are data extracted at the second sampling interval f2. That is, the evaluation data DT2 includes the extracted measured values ​​(ta, V1) (tb, V2) (time T, voltage V). Since the abnormal value occurred at time tx (voltage V3), it does not appear in the evaluation data DT2. In this case, if the third sampling interval f3 is set to an appropriate value smaller than the second sampling interval f2 and the target range is set to times ta to tb to generate the second evaluation data, the abnormal value can be detected. Specifically, the abnormal value can be detected as a voltage change ΔV / Δt, etc. Note that this voltage change ΔV / Δt may be monitored and stored by the control device 3, so that a warning or caution can be displayed during the test.

[0051] 7B shows a case where the time vs. voltage of the secondary battery gradually increases and changes. The mass storage device 100 stores the measurement data DT1 at a first sampling interval f1. Therefore, the control device 3 having a machine learning function can predict the trend (abnormal trend) of the measurement value in the subsequent period td2 from the data of the initial measurement td1, using a learned model that has been machine-learned in advance from a training data set that is labeled according to the trend (time-dependent transition of the measurement data DT1) of the changing measurement data DT1 and the presence or absence of an abnormality (occurrence situation), and generate a warning of the occurrence of an abnormality ab1. In the above example, the occurrence of an abnormality ab1 is predicted from data at the initial measurement time td1, but according to the trained model, it is possible to predict an abnormality warning and generate a warning from data for any period of time.

[0052] The control device 3 manages the multi-channel test devices 20-1 to 20-m, and therefore can statistically compare, analyze, and interpret abnormal characteristic patterns from the same test cycle to predict and warn of future characteristics and abnormal trends. In addition, the control device 3 can output diagnostic grounds and quantitative data after the test is completed by using a machine learning function.

[0053] The measurement items based on the evaluation data as the battery status of secondary batteries 15-1, 15-2, 15-3, ... 15-n are voltage (V), current (A), power (W), charging current amount (Ah), discharging current amount (Ah), current balance amount (Ah), charging electric energy amount (Wh), discharging electric energy amount (Wh), electric energy balance amount (Wh), and temperature (°C). Abnormalities in secondary batteries 15-1, 15-2, 15-3, ... 15-n include when the voltage (V) is outside the upper or lower limits, when the current (A) exceeds the upper limit, when the power (W) exceeds the upper limit, when the charging current (Ah), discharging current (Ah), and balance current (Ah) reach their upper limits, when the charging power (Wh), discharging power (Wh), and balance power (Wh) reach their upper limits, and when the temperature (°C) is outside the upper or lower limits, and each of these is detected as an abnormality during and after the test.

[0054] FIG. 8 is a diagram showing an example of measurement data acquisition, which is a time vs. voltage diagram. Each line diagram in FIG. 8 shows a comparison of voltage, which is one of the measurement data, between the secondary batteries 15-1, 15-2, 15-3, ..., 15-n being tested by the multiple test devices 20-1, 20-2, 20-3, 20-m. This comparison function compares the measurement data by the multiple test devices 20-1, 20-2, 20-3, 20-m that are other CHs during the test operation, and notifies as an abnormality or warning if a difference ΔV occurs in any of them. The reason for the abnormality or warning can be clearly indicated together with this notification, and can be output as detailed evaluation data, second evaluation data. Comparison of data between the secondary batteries 15-1, 15-2, 15-3, ..., 15-n is possible between different test devices 20-1, 20-2, 20-3, 20-m, and also between the secondary batteries 15-1, 15-2, 15-3, ..., 15-n of the test devices 20-1, 20-2, 20-3, 20-m. By comparing many secondary batteries 15-1, 15-2, 15-3, ..., 15-n (between the same or different test devices), a more accurate judgment may be made.

[0055] Fig. 9 is a block diagram showing a main part according to another embodiment. In Fig. 1, the controllers 13 provided in the test devices 20-1 to 20-m are connected to the control device 3 via the network 2, but in Fig. 9, the controllers 13 provided in the test devices 20-1 to 20-m are connected to the control device 3 via a bus, and the control device 3 is connected to the network 2, but the rest is the same as Fig. 1. A network controller and the like are provided in the control device 3, and also manage configuration information of the service (IP address, port connection information, line information, etc.).

[0056] The charge / discharge test system is a computer system, (1) A function for outputting the evaluation data DT2 described in FIG. 2; (2) A function for extracting data from the measurement data DT1 stored in the large-capacity storage device 100 described in FIG. 4 in response to a user request or at a pre-specified second sampling interval f2 and outputting the data as evaluation data DT2; and a function for displaying the measurement data DT1 and the evaluation data DT2 for a predetermined time range, as shown in FIG. 5. (3) A function for outputting second evaluation data DT3-1 and DT3-2 in order to obtain detailed data during an abnormality as described in FIG. 6; (4) A function of determining an abnormal characteristic pattern based on the amount of change in the measurement data of the secondary batteries 15-1, 15-2, 15-3, ..., 15-n described in FIG. 7, and predicting and warning of future characteristics and abnormal trends, (5) A function of comparing voltages, which are one of the measurement data, of secondary batteries 15-1, 15-2, 15-3, ..., 15-n being tested by the multiple test devices 20-1, 20-2, 20-3, 20-m described in FIG. 8 and clearly indicating the basis for determining abnormality or warning; The hardware configuration for implementing each of the above can be flexibly changed. The present invention can also be realized by supplying a computer program that implements each of the functions described in the above embodiments to a computer, and having one or more processors in the computer read and execute the program.

[0057] For example, in the explanation of Fig. 1, the mass storage device 100 in Fig. 4 is the NAS server 1 connected to the test devices 20-1, 20-2, 20-3, and 20-m via the network 2, but the mass storage device 100 may be provided in the controller 13 or the control device 3. Furthermore, the mass storage device 100 is not limited to storage having a RAID function, and may be an NVMe-connected M.2 SSD or cloud storage available on the Internet.

[0058] Furthermore, application software or libraries, which are computer programs that realize the above-mentioned functions (1) to (5), are preferably implemented in the control device 3 and can be used by the terminals 4 and 5, but a part or all of them may be provided by the controller 13 or the NAS server 1. In this case, the NAS server 1 may provide each function as a cloud service, serving as cloud storage.

[0059] Furthermore, the machine learning function described in Figure 7 may be configured as a cloud service in which measurement data is sent from the control device 3 via the network 2 to a server computer capable of high-speed processing, and the results of statistically comparing, analyzing, and analyzing abnormal characteristic patterns are received. [Explanation of symbols]

[0060] 1 NAS server, 2 network, 3 control device, 4 terminal, 5 terminal, 10 charge / discharge test system, 11 (AC) power supply, 12 AC / DC converter, 12 (AC / DC) converter, 13 controller, 14-1 to 14-n ET device, 15-1 to 15-n secondary battery, 16 thermostatic chamber, 17 thermostatic chamber control unit, 18 temperature measurement unit, 20-1 to 20-m test device, 50 storage device, 100 large-capacity storage device

Claims

1. A charge / discharge test system includes a test device that connects a secondary battery to perform a charge / discharge test, and outputs evaluation data based on measurement data indicating a battery state for characteristic analysis of the secondary battery obtained by the test device, the test device acquiring the measurement data at a first sampling interval; a mass storage device for storing the measurement data; an evaluation data output means for extracting the measurement data at a second sampling interval that is A times (A is an integer equal to or greater than 2) the first sampling interval based on the stored measurement data, and outputting the measurement data as evaluation data; Equipped with The evaluation data output means outputs, based on a request from a user or a predetermined condition, data for a predetermined time period among the measurement data. a charge / discharge test system that re-extracts data at a third sampling interval that is B times the first sampling interval (B represents an integer greater than or equal to 1 and less than A) and outputs the data as second evaluation data.

2. the test device includes an AC power supply, an AC / DC converter, a plurality of charge / discharge devices connected to the AC / DC converter via a bus, and a controller that controls the charge / discharge devices to perform a charge / discharge test on the secondary battery; a control device connected to the test device via the controller and outputting to the controller an instruction to set a charge / discharge pattern for the secondary battery; the mass storage device connected to the test device; 2. The charge / discharge test system according to claim 1, further comprising:

3. 3. The charge / discharge test system according to claim 2, wherein the mass storage device is connected to the test device via a network.

4. 3. The charge / discharge test system according to claim 2, wherein the mass storage device is connected to the test device via the control device.

5. 2. The charge / discharge test system according to claim 1, wherein the evaluation data output means adjusts the magnitude of A based on a request from a user or a predetermined condition.

6. 2. The charge / discharge test system according to claim 1, further comprising a prediction unit that determines an abnormal characteristic pattern based on the measurement data by comparing the measurement data with a predetermined standard, and predicts or warns of an abnormal tendency.

7. the prediction unit includes a trained model that has been machine-learned in advance using a training dataset in which anomaly occurrence statuses are labeled with respect to the time-dependent transition of the measurement data; The charge / discharge test system according to claim 6 , wherein the abnormal tendency is predicted by the trained model based on the measurement data acquired by the test device.

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