Battery pack abnormity judgment method and device, computer equipment and storage medium

Abstract

The invention relates to the technical field of power batteries, particularly provides a battery pack abnormity judgment method and device, computer equipment and a storage medium, and aims to solve the problem that an existing battery pack voltage abnormity judgment mode is low in judgment precision. In order to achieve the purpose, the battery pack abnormity judgment method comprises the steps that for a plurality of battery packs, the cell voltage difference value of each battery pack is obtained, and the standard difference value of the cell voltage of each battery pack is calculated; sequencing the plurality of battery packs according to the rate of simultaneous increase of the cell voltage difference value and the standard difference value to obtain a first sequence; and according to the first sequence, determining an abnormal battery pack from the plurality of battery packs. According to the invention, in the operation process of the battery pack, the rate of simultaneous increase of the cell voltage difference value and the cell voltage standard difference value is calculated, sorting is carried out according to the rate values, the abnormal battery pack is determined, and the battery pack abnormity determination precision is improved.

Description

Technical Field

[0001] This application relates to the technical field of power batteries, and specifically provides a method, device, computer device, and storage medium for judging battery pack anomalies. Background Art

[0002] Due to internal short circuits, cell aging, and other reasons, power batteries can cause voltage anomalies in the battery pack, which will affect the charging and discharging balance of the battery pack, reducing the capacity and lifespan of the battery pack.

[0003] In some related technologies, generally, a threshold is set for the voltage difference between cells to determine voltage anomalies. However, this method not only has low judgment accuracy but also the setting size of the threshold will affect the judgment result, so there are significant drawbacks.

[0004] Correspondingly, the field needs a new voltage anomaly judgment solution to solve the above problems. Summary of the Invention

[0005] This application aims to solve the above technical problems, that is, to solve the problem of low judgment accuracy of the existing method for judging voltage anomalies in battery packs.

[0006] In a first aspect, this application provides a method for judging battery pack anomalies, which includes:

[0007] For multiple battery packs, obtain the voltage difference between cells of each battery pack, and calculate the standard deviation of the cell voltages of each battery pack;

[0008] Sort the multiple battery packs according to the rate of simultaneous increase of the voltage difference between cells and the standard deviation to obtain a first sequence;

[0009] Judge the abnormal battery packs from the multiple battery packs according to the first sequence.

[0010] In a technical solution of the above method for judging battery pack anomalies, the rate of simultaneous increase of the voltage difference between cells and the standard deviation is obtained according to the following steps:

[0011] For each battery pack, obtain the voltage difference between cells within the first number of frames, and divide the voltage difference between cells by the first number to obtain the rate of increase of the voltage difference between cells of this battery pack;

[0012] For each battery pack, obtain the standard deviation of the cell voltages within the second number of frames, and divide the standard deviation by the second number to obtain the rate of increase of the standard deviation of this battery pack.

[0013] In a technical solution of the above method for determining battery pack abnormality, the rate in the first sequence is determined based on the order of the first acquisition time, and identifying an abnormal battery pack from the multiple battery packs according to the first sequence includes:

[0014] Regarding the battery pack with a later first acquisition time and a higher rate ranking in the first sequence as the abnormal battery pack.

[0015] In a technical solution of the above method for determining battery pack abnormality, determining an abnormal battery pack from the multiple battery packs according to the first sequence further includes:

[0016] Performing a descending order sorting on the multiple battery packs according to the maximum value of the voltage difference to obtain a second sequence;

[0017] Determining an abnormal battery pack according to the first sequence and the second sequence.

[0018] In a technical solution of the above method for determining battery pack abnormality, the rate in the first sequence is determined based on the order of the first acquisition time, and the voltage difference in the second sequence is determined based on the order of the second acquisition time;

[0019] Determining an abnormal battery pack according to the first sequence and the second sequence includes:

[0020] Regarding the battery pack that simultaneously meets the following conditions as the abnormal battery pack:

[0021] In the first sequence, the battery pack with a later first acquisition time and a higher rate ranking;

[0022] In the second sequence, the battery pack with a later second acquisition time and a higher voltage difference ranking.

[0023] In a technical solution of the above method for determining battery pack abnormality, the first number of frames and the second number of frames respectively correspond to complete operating conditions.

[0024] In a technical solution of the above method for determining battery pack abnormality, the operating conditions include a charging condition and / or a discharging condition.

[0025] In a second aspect, the present application provides a device for determining battery pack abnormality, which includes:

[0026] An acquisition module, which is used to acquire the cell voltage difference of each battery pack in the multiple battery packs;

[0027] A calculation module, which is used to calculate the standard deviation of the cell voltages of each battery pack;

[0028] A sorting module, which is configured to sort the multiple battery packs according to the rate of simultaneous increase of the cell voltage difference and the standard difference, so as to obtain a first sequence;

[0029] A judgment module, which is configured to judge an abnormal battery pack from the multiple battery packs according to the first sequence.

[0030] In a third aspect, a computer device is provided, which includes a processor and a storage device. The storage device is adapted to store multiple program codes, and the program codes are adapted to be loaded and run by the processor to execute the judgment method according to any one of the first aspects.

[0031] In a fourth aspect, a computer-readable storage medium is provided, which stores multiple computer programs, and the computer programs are loaded and run by a processor to execute the judgment method according to any one of the first aspects.

[0032] As described above, in the case of adopting the above technical solution, the present application calculates the rate of simultaneous increase of the cell voltage difference and the cell voltage standard difference during the operation of the battery pack, and sorts according to the magnitude of the rate value. The rate of simultaneous increase of the cell voltage difference and the cell voltage standard difference reflects the change trend of the cell voltage. The battery packs are screened in this dynamic ranking manner, and the battery pack with the latest acquisition time and a higher rate is determined as an abnormal battery pack. Compared with the method of only setting a threshold to determine abnormality in the related art, not only is the judgment method simpler and there is no need for manual threshold adjustment, but also the judgment accuracy of the battery pack abnormality is higher. Description of the Drawings

[0033] The following describes the preferred embodiments of the present application with reference to the drawings. In the drawings:

[0034] Figure 1 is the main step flow chart of the method for judging battery pack abnormality according to an embodiment of the present application;

[0035] Figure 2 is the detailed step flow chart of the method for judging battery pack abnormality according to an embodiment of the present application;

[0036] Figure 3 is the main structural block diagram of the device for judging battery pack abnormality according to an embodiment of the present application.

[0037] List of Reference Numerals :

[0038] 11. Acquisition module; 12. Calculation module; 13. Sorting module; 14. Judgment module. Detailed Embodiments

[0039] The preferred embodiments of the present application will be described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principle of the present application and are not used to limit the protection scope of the present application. Those skilled in the art can make adjustments according to needs to adapt to specific application scenarios.

[0040] In the description of the present application, "module" and "processor" may include hardware, software, or a combination of both. A module may include a hardware circuit, various suitable sensors, communication ports, memory, and may also include a software part, such as program code, or may be a combination of software and hardware. The processor may be a central processing unit, a microprocessor, an image processor, a digital signal processor, or any other suitable processor. The processor has data and / or signal processing functions. The processor may be implemented in software, in hardware, or in a combination of both. A non-transitory computer-readable storage medium includes any suitable medium for storing program code, such as a magnetic disk, a hard disk, an optical disk, a flash memory, a read-only memory, a random access memory, and so on. The term "A and / or B" represents all possible combinations of A and B, such as only A, only B, or A and B. The term "at least one A or B" or "at least one of A and B" has a meaning similar to "A and / or B" and may include only A, only B, or A and B. The singular terms "a" and "this" may also include the plural form.

[0041] Regarding the abnormal condition of the power battery voltage, in some related technologies, it is judged by setting a threshold for the voltage difference, that is, when the voltage difference inside the battery pack is detected to exceed the threshold, it is determined as abnormal. However, when the battery operates under some occasional extreme working conditions, it will cause the voltage difference to suddenly increase, which does not mean that the voltage is abnormal. At this time, judging based on the above method will lead to misjudgment. Therefore, the above method has the problem of low judgment accuracy.

[0042] In addition, the specific setting size of the voltage difference threshold also directly affects the judgment result. When the set voltage difference threshold is too large, it may cause the battery with abnormal voltage to not be determined as abnormal, and when the set voltage difference threshold is too small, it may cause the battery in a normal state to be frequently determined as abnormal. Therefore, the determination of the voltage difference threshold is an important issue, and the value of the voltage difference threshold also needs to be adaptively adjusted according to the capacity attenuation of the battery, increasing the complexity. Therefore, the above method for judging voltage abnormality has great drawbacks both in terms of judgment accuracy and application complexity.

[0043] Refer to Figure 1 , which is a main step flowchart of a method for judging battery pack abnormality according to an embodiment of the present application. The method for judging battery pack abnormality mainly includes the following steps:

[0044] S101: For multiple battery packs, obtain the cell voltage difference of each battery pack, and calculate the standard deviation of the cell voltages of each battery pack.

[0045] In this embodiment, the multiple battery packs refer to the target battery packs to be judged. For example, in an application scenario of this embodiment, the multiple battery packs establish communication connections with the same vehicle networking system, and the historical voltage time series data of each battery pack is stored in the vehicle networking system. Based on the historical voltage time series data, the cell voltage difference of each battery pack can be obtained, and then, based on the cell voltage difference, the standard deviation of the cell voltages within each battery pack can be calculated.

[0046] In an embodiment of the present application, the cell voltage differences and the standard deviations of the cell voltages obtained by processing the historical voltage data are arranged in chronological order.

[0047] S102: Sort the multiple battery packs according to the increasing rates of the cell voltage difference and the standard deviation of the cell voltage simultaneously to obtain a first sequence.

[0048] In an embodiment of the present application, the increasing rate of the cell voltage difference can be obtained through the following method:

[0049] For each battery pack, divide its historical voltage time series data into multiple time periods in chronological order to form multiple data sets, and calculate the increasing rate of the cell voltage difference within each time period according to the data set of the cell voltages corresponding to each time period, so as to obtain the increasing rate of the cell voltage difference of each battery pack within the total duration.

[0050] For example, for each battery pack, the number of data frames in the data set corresponding to a time period is the first quantity. Divide the cell voltage difference within these first quantity frames by the first quantity, that is, obtain the increasing rate of the cell voltage difference of this battery pack within this time period.

[0051] Similarly, based on the above method, in an embodiment of the present application, the increasing rate of the standard deviation of the cell voltage can be obtained through the following method:

[0052] For each battery pack, the number of data frames in the data set corresponding to a time period is the second quantity. Divide the standard deviation of the cell voltage within these second quantity frames by the second quantity, that is, obtain the increasing rate of the standard deviation of the cell voltage of this battery pack within this time period.

[0053] It should be understood that the first quantity and the second quantity above are only for distinguishing the increasing rate of the cell voltage difference and the increasing rate of the standard deviation of the cell voltage in the description. The specific values of the first quantity and the second quantity can be the same or different, and the present application does not limit this.

[0054] It should be noted that for a battery pack, an increase in the voltage difference between battery cells indicates that the voltage of at least one battery cell inside the battery pack may deviate, but it does not rule out the occurrence of this phenomenon due to occasional extreme working conditions. The standard deviation of the battery cell voltage reflects the degree of dispersion of the data set. An increase in the standard deviation of the battery cell voltage indicates an increase in the degree of dispersion of the voltage values of each battery cell in the battery pack. The dispersion situation may include various cases. For example, the voltage value of one or more battery cells gradually increases and / or the voltage value of one or more battery cells gradually decreases.

[0055] For the operating conditions of the battery pack, it includes a charging condition and a discharging condition. For the charging condition of the battery pack, the voltage gradually increases during the charging process. On the premise that there is an abnormality in the battery cells inside the battery pack, the voltage difference between the battery cells may increase during the charging process. For the discharging condition, there is a slight downward trend or basically no change in the voltage during the discharging process. That is, under the charging condition, the rate of increase in the voltage difference between the battery cells is relatively high. Therefore, the situation where both the voltage difference between the battery cells and the rate of the standard deviation of the battery cell voltage increase reflects that one or more battery cells inside the battery pack are deviating. The greater the rate, the more significant the deviation phenomenon, and the higher the possibility of battery cell abnormality. Therefore, in the embodiments of the present application, the rates of multiple battery packs are sorted to obtain a first sequence for easy screening.

[0056] In an embodiment of the present application, the above-mentioned one time period can be selected as a complete operating condition of the battery pack. For example, each time period corresponds to a charging condition, or each time period corresponds to a discharging condition, or the charging condition and the discharging condition during the vehicle's cyclic charge and discharge process respectively correspond to one time period. Since the voltage of the battery pack shows a certain trend during its complete charging condition or discharging condition, under the complete operating condition, it reflects the voltage condition of the battery cells in the battery pack during this time period. However, under different operating conditions, due to the different states of the electrochemical reactions inside the battery, it is difficult to reflect the change law of the battery cell voltage. Therefore, in the embodiments of the present application, the first number of frames and the second number of frames respectively correspond to the complete operating conditions, which is beneficial to improving the judgment accuracy of the battery cell voltage state.

[0057] Of course, in some other implementation manners, in chronological order, each complete operating condition can also be divided into multiple time periods, that is, in a complete charging condition or a complete discharging condition, there are multiple first number of frames or second number of frames. Those skilled in the art can adjust the division method of the above-mentioned unit time period based on actual application requirements, and the corresponding or equivalent replacements made thereto are all within the protection scope of the present application.

[0058] It should also be noted that although in the above manner of the present application, the rate of increase in the cell voltage difference is calculated by dividing the cell voltage difference within a unit time period by the number of frames within that time period, and the rate of increase in the standard cell voltage difference is calculated by dividing the standard cell voltage difference within a unit time period by the number of frames within that time period, the calculation method of the rate is not limited to this. For example, in some other implementation manners, all discrete data of the cell voltage difference and the standard cell voltage difference can also be obtained, a line graph can be drawn based on all the discrete data, and the rate can be determined according to the slope of the line segment in the line graph.

[0059] S103: Determine the abnormal battery pack from multiple battery packs according to the first sequence.

[0060] In an embodiment of the present application, the first sequence is determined based on the time sequence. For the convenience of description, the above time sequence is defined as the first acquisition time sequence. Then, the battery pack with a later first acquisition time sorting and a higher rate sorting is determined as the abnormal battery pack.

[0061] It should be noted that the later first acquisition time sorting refers to the latest acquisition time in the time sequence. The higher rate sorting indicates that the outlier situation of the cell voltage is significant. Therefore, a higher rate sorting and a later acquisition time indicate that the battery pack may be abnormal in the current state. It should also be noted that for a battery pack with an earlier first acquisition time and a rate sorting in the middle of the first sequence, its actual situation may be that the cell voltage was abnormal under a certain extreme working condition before, and the rate did not keep increasing in the subsequent time, indicating that it is only an occasional situation and not a real cell abnormality. For a battery pack with a rate sorting not too far forward but a later first acquisition time, its cells may be gradually becoming abnormal, and the abnormal situation has not reached a certain severity level, or it may also be just an occasional situation in the current state. In short, the above two situations do not meet the judgment criteria for cell abnormality currently.

[0062] In the present application, during the operation of the battery pack, the rates of simultaneous increase in the cell voltage difference and the standard cell voltage difference are calculated, and sorted according to the magnitude of the rate values. The rates of simultaneous increase in the cell voltage difference and the standard cell voltage difference reflect the change trend of the cell voltage. The battery packs are screened in this dynamic ranking manner, and the battery pack with the latest acquisition time and a higher rate is determined as the abnormal battery pack. Compared with the method of only setting a threshold to determine abnormality in the related art, not only is the judgment method simpler and does not require manual adjustment of the threshold, but also the judgment accuracy for battery pack abnormality is higher.

[0063] Refer to Figure 2 , which is a complete step flowchart of the method for judging battery pack abnormality according to an embodiment of the present application. Step S103 specifically includes the following steps:

[0064] S1031: For each battery pack, obtain the maximum value of the cell voltage difference from its historical voltage time series data, and sort multiple battery packs in descending order according to the maximum value of the cell voltage difference to obtain a second sequence.

[0065] In an embodiment of the present application, the second sequence is determined based on the time sequence. For the convenience of description, the above time sequence is defined as the second acquisition time sequence. Then, according to the second sequence, the battery pack with the second acquisition time sorted later and the maximum value of the cell voltage difference sorted earlier is determined as an abnormal battery pack.

[0066] It should be noted that the second acquisition time sorted later refers to the latest acquisition time in the time sequence. The maximum value of the cell voltage difference is sorted earlier, and at the same time, the second acquisition time is sorted later, indicating that the maximum value of the cell voltage difference corresponding to the current time shows that the cell voltage difference may be in a continuous rising state and may be abnormal. The higher the maximum value of the cell voltage difference, the higher the possible degree of abnormality. In other cases, if the maximum value of the cell voltage difference exists in the middle position of the second acquisition time, it indicates that the cell voltage corresponding to this time position may be caused by accidental extreme working conditions. Therefore, sorting according to the maximum value of the cell voltage difference and combining the second acquisition time to determine the abnormality can improve the determination accuracy.

[0067] S1032: Determine the abnormal battery pack according to the first sequence and the second sequence.

[0068] Assume that the abnormal battery pack determined according to the first sequence is called the first abnormal battery pack, and the abnormal battery pack determined according to the second sequence is called the second abnormal battery pack. Then, in an embodiment of the present application, the battery pack obtained by taking the intersection of the battery packs included in the first abnormal battery pack and the second abnormal battery pack is determined as the abnormal battery pack. That is, the finally determined abnormal battery pack needs to meet the judgment results according to both the first sequence and the second sequence.

[0069] The present application combines the maximum value of the cell voltage difference and the rate of simultaneous increase of the cell voltage difference and the cell voltage standard difference to determine the abnormal condition of the battery pack, and dynamically sorts the maximum value of the cell voltage difference and the rate of simultaneous increase of the cell voltage standard difference. The first sequence and the second sequence are used to reflect the dynamic relationship of the cell voltages inside the battery pack, so that the abnormal battery pack can be determined according to this dynamic relationship. Compared with the method of judging abnormality only by the static value of the cell voltage in the related art, the judgment accuracy is improved.

[0070] Refer to Figure 3, Further, the present application also discloses a device for determining battery pack anomalies, which includes an acquisition module 11, a calculation module 12, a sorting module 13, and a determination module 14. In some embodiments, multiple or all of the acquisition module 11, the calculation module 12, the sorting module 13, and the determination module 14 can be combined into one module. In some embodiments, the acquisition module 11 is configured to acquire the cell voltage difference of each battery pack in multiple battery packs, the calculation module 12 is configured to calculate the standard deviation of the cell voltages of each battery pack; the sorting module 13 is configured to sort the multiple battery packs according to the rate of simultaneous increase of the cell voltage difference and the standard deviation, so as to obtain a first sequence; the determination module 14 is configured to determine the abnormal battery pack from the multiple battery packs according to the first sequence.

[0071] The above device for determining battery pack anomalies is used to execute Figures 1 to 2 the method embodiment for determining battery pack anomalies shown in the figure. The technical principles, the technical problems solved, and the technical effects produced by the two are similar. Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process and related descriptions of the device for determining battery pack anomalies can refer to the content described in the method embodiment for determining battery pack anomalies, which will not be elaborated here.

[0072] Those skilled in the art can understand that all or part of the processes in implementing the method in an embodiment of the present application can also be completed by instructing relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by a processor, the steps of the above method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in the form of source code, object code, executable file, or some intermediate form, etc. The computer-readable storage medium can include: any entity or device, medium, USB flash drive, mobile hard disk, magnetic disk, optical disc, computer memory, read-only memory, random access memory, electrical carrier signal, telecommunication signal, and software distribution medium that can carry the computer program code. It should be noted that the content included in the computer-readable storage medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, the computer-readable storage medium does not include electrical carrier signals and telecommunication signals.

[0073] Furthermore, the present application also discloses a computer device, which includes a processor and a storage device. The storage device is adapted to store multiple program codes, and the program codes are adapted to be loaded and run by the processor to execute the judgment method described in any one of the above method embodiments. For the sake of convenience of description, only the parts related to the embodiments of the present application are shown. For the specific technical details not disclosed, please refer to the method part of the embodiments of the present application. This computer device may be a computer device formed by various electronic devices.

[0074] Furthermore, the present application also discloses a computer-readable storage medium. In an embodiment of a computer-readable storage medium according to the present application, the computer-readable storage medium may be configured to store a program for executing the judgment method of the battery pack abnormality in the above method embodiment, and this program may be loaded and run by a processor to implement the above battery abnormality detection method. For the sake of convenience of description, only the parts related to the embodiments of the present application are shown. For the specific technical details not disclosed, please refer to the method embodiment part of the present application. This computer-readable storage medium may be a storage device formed by various electronic devices. Optionally, the computer-readable storage medium in the embodiments of the present application is a non-transitory computer-readable storage medium.

[0075] Furthermore, it should be understood that since the setting of each module is only for explaining the functional units of the device of the present application, the physical devices corresponding to these modules may be the processor itself, or a part of the software in the processor, a part of the hardware, or a part of the combination of software and hardware. Therefore, the number of each module in the figure is only illustrative.

[0076] Those skilled in the art can understand that the various modules in the device can be adaptively split or combined. Such splitting or combination of specific modules will not cause the technical solution to deviate from the principle of the present application. Therefore, the technical solutions after splitting or combination will all fall within the protection scope of the present application.

[0077] So far, the technical solution of the present application has been described in conjunction with the preferred embodiments shown in the drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present application is obviously not limited to these specific embodiments. Without departing from the principle of the present application, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will all fall within the protection scope of the present application.

Claims

1. A method for judging battery pack abnormality, characterized in that, The method includes: For multiple battery packs, obtain the cell voltage difference of each battery pack, and calculate the standard deviation of the cell voltages of each battery pack; Sort the multiple battery packs according to the rate of simultaneous increase of the cell voltage difference and the standard deviation to obtain a first sequence; Judge the abnormal battery packs from the multiple battery packs according to the first sequence.

2. The judging method according to claim 1, characterized in that, The rate of simultaneous increase of the cell voltage difference and the standard deviation is obtained according to the following steps: For each battery pack, obtain the cell voltage difference within the first number of frames, divide the cell voltage difference by the first number to obtain the rate of increase of the cell voltage difference of this battery pack; For each battery pack, obtain the standard deviation of the cell voltages within the second number of frames, divide the standard deviation by the second number to obtain the rate of increase of the standard deviation of this battery pack.

3. The judging method according to claim 1 or 2, characterized in that, The rate in the first sequence is determined based on the order of the first acquisition time. The judging the abnormal battery packs from the multiple battery packs according to the first sequence includes: Regarding the battery packs with a later first acquisition time and a higher rate ranking in the first sequence as abnormal battery packs.

4. The judging method according to claim 1 or 2, characterized in that, The judging the abnormal battery packs from the multiple battery packs according to the first sequence further includes: Sort the multiple battery packs in descending order according to the maximum value of the voltage difference to obtain a second sequence; Judge the abnormal battery packs according to the first sequence and the second sequence.

5. The judging method according to claim 4, characterized in that, The rate in the first sequence is determined based on the order of the first acquisition time, and the voltage difference in the second sequence is determined based on the order of the second acquisition time; The judging the abnormal battery packs according to the first sequence and the second sequence includes: Regarding the battery packs that simultaneously meet the following conditions as abnormal battery packs: In the first sequence, the battery packs with a later first acquisition time and a higher rate ranking; In the second sequence, the battery packs with a later second acquisition time and a higher voltage difference ranking.

6. The judging method according to claim 2, characterized in that, The first number of frames and the second number of frames respectively correspond to a complete operating condition.

7. The judging method according to claim 6, characterized in that, The operating condition includes a charging condition and / or a discharging condition.

8. A device for judging battery pack abnormality, characterized in that, It includes: An acquisition module for obtaining the cell voltage difference of each battery pack in multiple battery packs; A calculation module for calculating the standard deviation of the cell voltages of each battery pack; A sorting module for sorting the multiple battery packs according to the rate of simultaneous increase of the cell voltage difference and the standard deviation to obtain a first sequence; A judging module for judging the abnormal battery packs from the multiple battery packs according to the first sequence.

9. A computer device, including a processor and a storage device, the storage device being adapted to store multiple program codes, characterized in that, The program code is suitable to be loaded and run by the processor to execute the judging method according to any one of claims 1 to 7.

10. A computer-readable storage medium, in which multiple computer programs are stored, characterized in that, The computer program is loaded and run by the processor to execute the judging method according to any one of claims 1 to 7.

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