Test data management method and system for test equipment

Abstract

The invention provides a test data management method and system for test equipment, and belongs to the technical field of data management, and the method specifically comprises the steps: determining the charging and discharging data of a vehicle-mounted power supply in different capacity intervals according to the analysis result of the test data of the vehicle-mounted power supply, when determining that the vehicle-mounted power supply has an aging defect based on the analysis result of the charging and discharging data, acquiring the matching condition of the charging and discharging data and charging and discharging curves of different aging types, and when determining that the vehicle-mounted power supply does not have a matched aging type based on the matching condition, identifying the aging of the vehicle-mounted power supply by using the aging identification result of the vehicle-mounted power supply. And the vehicle-mounted power supply is stored and processed as the characteristic data of the charging and discharging curve of the matched aging type, so that the aging identification processing efficiency is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of data management, and in particular relates to a test data management method and system for testing equipment. Background Art

[0002] In order to realize the test processing of the power supply, the patent application CN216670070U "Vehicle Power Supply Aging Test Box" realizes the aging test processing of the vehicle power supply by setting a power display screen and a charging interface, and using a charging device electrically connected to the charging interface.

[0003] When testing a power supply, its charge and discharge curve is often related to the type of aging of the power supply. For example, electrode aging, low electrolyte level or deterioration in quality, poor battery line connection, etc. are all related to the charge and discharge curve. Therefore, if the power supply test data with obvious aging characteristics cannot be stored and processed in the test equipment, then the aging identification is uniformly performed using remote identification, which will not improve the efficiency of power supply aging testing.

[0004] In response to the above technical problems, the present application specifically provides a test data management method and system for testing equipment. Summary of the invention

[0005] To achieve the purpose of the present invention, the present invention adopts the following technical solutions: In a first aspect, the present application provides a test data management method for a test device, specifically comprising: The device model of the vehicle power supply is determined based on the analysis results of the test data of the test equipment, and when it is determined that the storage and analysis processing of the test data of the vehicle power supply needs to be performed using the historical test data and aging defect data of the vehicle power supply of the device model, the next step is entered; Determine the charge and discharge data of the vehicle power supply in different capacity intervals according to the analysis results of the test data of the vehicle power supply, and when it is determined that the vehicle power supply has an aging defect based on the analysis results of the charge and discharge data, obtain the matching of the charge and discharge data with the charge and discharge curves of different aging types; When it is determined that the on-board power supply has a matching aging type based on the matching situation, determining whether it is necessary to store and process the test data of the on-board power supply as characteristic data of the charging and discharging curve of the matching aging type based on the matching situation of the test data and charging and discharging data of the on-board power supply of the matching aging type and the charging and discharging curve of the matching aging type; When there is no matching aging type, the aging identification result of the vehicle power supply is used to store and process the characteristic data of the charge and discharge curve of the vehicle power supply as the matching aging type.

[0006] The beneficial effects of the present invention are: Based on the matching of the test data and charge and discharge data of the on-board power supply of the matching aging type with the charge and discharge curve of the matching aging type, it is determined whether the test data of the on-board power supply needs to be stored and processed as the characteristic data of the charge and discharge curve of the matching aging type. This not only takes into account the difference in the number of occurrences of the on-board power supply of the matching aging type in the historical test processing process, which leads to the difference in the storage demand for the charge and discharge curve of the matching aging type, but also takes into account the similarity between the charge and discharge data and the existing charge and discharge curve of the matching aging type. This ensures the storage and processing of the charge and discharge data with a higher identification necessity, while reducing unnecessary waste of storage space.

[0007] By utilizing the aging identification result of the vehicle power supply, the vehicle power supply is stored and processed as the characteristic data of the charge and discharge curve of the matching aging type, thereby realizing the dynamic update of the characteristic charge and discharge curves of different aging types of the test equipment, improving the processing efficiency of the aging identification processing of the vehicle power supply, and also reducing the storage processing of unnecessary test data, thereby improving the utilization efficiency of the storage space.

[0008] A further technical solution is that the device model is determined based on device characteristic information of the vehicle power supply read by the test device.

[0009] A further technical solution is that the historical test data includes the historical test times of the vehicle power supply of the device model.

[0010] A further technical solution is that the aging defect data includes the number of historical tests of the vehicle power supply of the device model under different aging types.

[0011] A further technical solution is to determine the need for storage, analysis and processing of the test data of the vehicle power supply, specifically including: Determine the historical test times of the vehicle power supply of the device model based on the historical test data of the vehicle power supply of the device model; Determine the number of historical tests of the vehicle power supply of the device model having aging defects based on the aging defect data of the vehicle power supply of the device model; The number of historical tests with aging defects is used as the number of defect tests, and whether storage, analysis and processing of the test data of the vehicle power supply need to be determined based on the proportion of the defect test number in the historical test number and the historical test number.

[0012] A further technical solution is to determine whether it is necessary to store, analyze and process the test data of the vehicle power supply, which specifically includes: When the number of historical tests is greater than a preset number threshold and the proportion of the defect test number in the historical test number is greater than a preset proportion threshold, it is determined that storage, analysis and processing of the test data of the vehicle power supply are required.

[0013] A further technical solution is that the aging identification result of the on-board power supply includes a matching aging type of the on-board power supply.

[0014] A further technical solution is that the matched aging type is determined based on the charging and discharging data of the vehicle power supply and the recognition result of a preset aging recognition model, specifically, the charging and discharging data of the vehicle power supply is used as the input of the preset aging recognition model, and the output of the preset aging recognition model is used as the aging recognition result of the vehicle power supply.

[0015] In a second aspect, the present invention provides a computer system comprising: a memory and a processor that are communicatively connected, and a computer program stored in the memory and executable on the processor, wherein the processor executes the above-mentioned test data management method for testing equipment when running the computer program.

[0016] Other features and advantages will be described in the following description. The objects and other advantages of the present invention are realized and obtained by the structures particularly pointed out in the description and drawings.

[0017] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The above and other features and advantages of the present invention will become more apparent by describing in detail exemplary embodiments thereof with reference to the accompanying drawings; Figure 1 is a flow chart of a test data management method for a test device; Figure 2 It is a flow chart for determining the storage, analysis and processing of the test data of the vehicle power supply that needs to be performed; Figure 3 It is a flow chart for determining the presence of aging defects in the vehicle power supply; Figure 4 It is a flow chart for determining the matching aging type of the vehicle power supply. DETAILED DESCRIPTION

[0019] In order to enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this specification, not all of the embodiments. Based on the embodiments of this specification, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of this specification.

[0020] When testing a power supply, its charge and discharge curve is often related to the aging type of the power supply. For example, electrode aging, low electrolyte level or deterioration in quality, poor battery line connection, etc. are all related to the charge and discharge curve. Therefore, how to store and process power supply test data with obvious aging characteristics in the test equipment, and perform local curve comparison processing when performing fault diagnosis has become a technical problem that needs to be solved urgently.

[0021] In this application, the matching of the charging and discharging curves of the aging defects in the vehicle power supply experimental data and the charging and discharging curves in the local library is utilized to realize the local storage management of the experimental data with obvious characteristics, which not only reduces the local storage space, but also improves the recognition and processing accuracy of fault diagnosis.

[0022] Example 1 To solve the above problems, according to one aspect of the present invention, Figure 1 As shown, in a first aspect, the present application provides a test data management method for a test device, specifically comprising: S1 determines the device model of the vehicle power supply based on the analysis results of the test data of the test equipment, and uses the historical test data and aging defect data of the vehicle power supply of the device model to determine that the storage and analysis processing of the test data of the vehicle power supply needs to be performed, and then proceeds to the next step; When the number of historical tests is greater than 1000 and the proportion of the number of defect tests in the number of historical tests is greater than 0.1, it is determined that storage, analysis and processing of the test data of the vehicle power supply are required.

[0023] S2 determines the charge and discharge data of the vehicle power supply in different capacity intervals according to the analysis results of the test data of the vehicle power supply, and when it is determined that the vehicle power supply has an aging defect based on the analysis results of the charge and discharge data, obtains the matching situation of the charge and discharge data with the charge and discharge curves of different aging types; Based on the analysis results of the charge and discharge data of different capacity intervals, the charge and discharge curves of the different capacity intervals are determined. Based on the deviations of the charge and discharge curves of the different capacity intervals from the preset charge and discharge curves of the corresponding capacity intervals, the curve deviation coefficients of the charge and discharge curves in the different capacity intervals are determined. When the average value of the curve deviation coefficients of the charge and discharge curves of the different capacity intervals is greater than 0.6, it is determined that the on-board power supply has an aging defect.

[0024] S3: when it is determined that the vehicle power supply has a matching aging type based on the matching situation, whether the test data of the vehicle power supply and the charge and discharge data of the matching aging type need to be stored and processed as characteristic data of the charge and discharge curve of the matching aging type according to the matching situation of the test data and the charge and discharge data of the vehicle power supply of the matching aging type and the charge and discharge curve of the matching aging type; The curve deviation coefficients of the charge and discharge curves in different capacity intervals are determined based on the matching conditions of the charge and discharge curves of different corresponding characteristic data in different capacity intervals with the charge and discharge curves of the vehicle-mounted power supply. The data deviation coefficients with different corresponding characteristic data are determined based on the average values ​​of the curve deviation coefficients of the charge and discharge curves in different capacity intervals. When there is a charge and discharge curve corresponding to an aging type with a data deviation coefficient less than 0.2, the aging type with the smallest data deviation coefficient is used as the matching aging type.

[0025] With the test data of the on-board power supply of the matching aging type, it is determined that there is a historical test number of the matching aging type, and the number is used as the matching aging test number. According to the matching situation of the charging and discharging data of different matching aging test numbers and the test data of the on-board power supply, the data deviation coefficients of different matching aging test numbers are determined. When the average value of the data deviation coefficients of different matching aging test numbers is greater than 0.3, it is determined that the test data of the on-board power supply needs to be stored and processed as the characteristic data of the charging and discharging curve of the matching aging type.

[0026] S4: When there is no matching aging type, using the aging identification result of the vehicle power supply, the vehicle power supply is used as characteristic data of the charge and discharge curve of the matching aging type for storage and processing.

[0027] Furthermore, the device model is determined based on device characteristic information of the vehicle power supply read by the test device.

[0028] Specifically, the historical test data includes the historical test times of the vehicle power supply of the device model.

[0029] It should be noted that the aging defect data includes the historical test times of the vehicle power supply of the device model under different aging types.

[0030] It is understandable that if Figure 2 As shown, it is determined that the storage, analysis and processing of the test data of the vehicle power supply needs to be performed, specifically including: Determine the historical test times of the vehicle power supply of the device model based on the historical test data of the vehicle power supply of the device model; Determine the number of historical tests of the vehicle power supply of the device model having aging defects based on the aging defect data of the vehicle power supply of the device model; The number of historical tests with aging defects is used as the number of defect tests, and whether storage, analysis and processing of the test data of the vehicle power supply need to be determined based on the proportion of the defect test number in the historical test number and the historical test number.

[0031] Further, it is determined whether it is necessary to store, analyze and process the test data of the vehicle power supply, including: When the number of historical tests is greater than a preset number threshold and the proportion of the defect test number in the historical test number is greater than a preset proportion threshold, it is determined that storage, analysis and processing of the test data of the vehicle power supply are required.

[0032] It should be noted that, when there is no need to store, analyze and process the test data of the vehicle power supply, the aging identification result of the vehicle power supply is directly used to determine whether the vehicle power supply has an aging defect.

[0033] In another embodiment, determining that storage and analysis of test data of the vehicle power supply needs to be performed specifically includes: Determine the historical test times of the vehicle power supply of the device model based on the historical test data of the vehicle power supply of the device model; Determine the number of historical tests of the vehicle power supply of the device model having aging defects based on the aging defect data of the vehicle power supply of the device model; The number of historical tests with aging defects is used as the number of defect tests, and whether storage, analysis and processing of the test data of the vehicle power supply need to be determined according to the proportion of the number of defect tests in the number of historical tests.

[0034] In another embodiment, determining that storage and analysis of test data of the vehicle power supply needs to be performed specifically includes: Determine the historical test times of the vehicle power supply of the device model based on the historical test data of the vehicle power supply of the device model. When the historical test times are not within the preset test times range: When the number of historical tests is greater than a preset test number threshold, it is determined that storage and analysis processing of the test data of the vehicle power supply is required; When the number of historical tests is not greater than the preset test number threshold, it is determined that there is no need to store, analyze and process the test data of the vehicle power supply; When the historical test times are within the preset test times range: Determine the number of historical tests of the vehicle power supply of the device model with aging defects based on the aging defect data of the vehicle power supply of the device model, and use the number of historical tests with aging defects as the number of defect tests. When the number of defect tests does not meet the requirements, determine that the test data of the vehicle power supply needs to be stored, analyzed and processed; When the defect test times meet the requirements: Determine the defect ratio according to the ratio of the defect test times to the test times, and when the defect ratio does not meet the requirement, determine that storage, analysis and processing of the test data of the vehicle power supply is required; When the defect ratio meets the requirements: Based on the number of defect tests corresponding to different defect types and the proportion of the number in the test times, the test defect coefficients of different defect types are determined, and the comprehensive defect coefficients are determined in combination with the preset defect weight coefficients corresponding to the different defect types. When the comprehensive defect coefficient does not meet the requirements, it is determined that the test data of the vehicle power supply needs to be stored, analyzed and processed; When the comprehensive defect coefficient meets the requirements: The historical test times of the vehicle power supply of the equipment model are obtained, and the analysis and processing requirement coefficient of the vehicle power supply is determined in combination with the comprehensive defect coefficient, and it is determined whether storage, analysis and processing of the test data of the vehicle power supply is required according to the analysis and processing requirement coefficient.

[0035] Furthermore, the capacity intervals are divided into equal intervals according to the number of preset intervals and the capacity of the vehicle-mounted power supply.

[0036] Specifically, the charge and discharge data is determined according to a charge and discharge curve within a preset time period according to a preset charge and discharge power.

[0037] Specifically, Figure 3 As shown, it is determined that the vehicle-mounted power supply has an aging defect, specifically including: Determine the charge and discharge curves of different capacity intervals based on the analysis results of the charge and discharge data of different capacity intervals; Determining curve deviation coefficients of the charge-discharge curves in different capacity intervals based on deviations between the charge-discharge curves in different capacity intervals and the preset charge-discharge curves in the corresponding capacity intervals; Whether the vehicle-mounted power supply has an aging defect is determined according to average values ​​of curve deviation coefficients of the charge and discharge curves in different capacity intervals.

[0038] Furthermore, the curve deviation coefficient is determined according to the proportion of the number of moments when the charge and discharge curve deviates from the preset charge and discharge curve.

[0039] It should be noted that when the average value of the curve deviation coefficients of the charge and discharge curves in different capacity intervals is greater than the preset deviation coefficient, it is determined that the on-board power supply has an aging defect.

[0040] In another embodiment, determining that the vehicle-mounted power supply has an aging defect specifically includes: Determine the charge and discharge curves of different capacity intervals based on the analysis results of the charge and discharge data of different capacity intervals, determine the curve mutation moments of the vehicle power supply based on the charge and discharge curves of different capacity intervals, and when the number of the curve mutation moments of the vehicle power supply does not meet the requirements, determine that the vehicle power supply has an aging defect; When the number of sudden changes in the curve of the vehicle power supply meets the requirements: The number of curve mutation moments in different capacity intervals is used to determine the curve abnormal variation coefficients in different capacity intervals. When there is a capacity interval where the curve abnormal variation coefficient does not meet the requirements: When the number of capacity intervals in which the abnormal variation coefficient of the curve does not meet the requirement does not meet the requirement, it is determined that the on-board power supply has an aging defect; When there is no capacity interval where the abnormal curve variation coefficient does not meet the requirements or the number of capacity intervals where the abnormal curve variation coefficient does not meet the requirements meets the requirements: Determine the curve deviation coefficients of the charge and discharge curves in different capacity intervals based on the deviations between the charge and discharge curves in different capacity intervals and the preset charge and discharge curves in the corresponding capacity intervals, and when the curve deviation coefficients of the charge and discharge curves in different capacity intervals meet the requirements, it is determined that the vehicle power supply does not have an aging defect; When the curve deviation coefficient of the charge and discharge curve does not meet the required capacity range: Obtaining the maximum value of the curve deviation coefficient of the charge-discharge curve in different capacity intervals, and when the maximum value of the curve deviation coefficient of the charge-discharge curve does not meet the requirement, determining that the vehicle-mounted power supply has an aging defect; When the maximum value of the curve deviation coefficient of the charge and discharge curve meets the requirement: The capacity interval in which the curve deviation coefficient of the charge-discharge curve does not meet the requirement is used as the curve deviation interval, and when the number of the curve deviation intervals does not meet the requirement, it is determined that the vehicle-mounted power supply has an aging defect; When the number of curve deviation intervals meets the requirements: Based on the curve deviation coefficients and curve abnormal variation coefficients of different capacity intervals, curve abnormality coefficients of different capacity intervals are determined, and according to the average values ​​of the curve abnormality coefficients of the charge and discharge curves of different capacity intervals, it is determined whether the vehicle power supply has an aging defect.

[0041] Specifically, Figure 4 As shown, determining that the vehicle-mounted power supply has a matching aging type specifically includes: Acquire characteristic data of the charge and discharge curve corresponding to different aging types, and use the characteristic data as corresponding characteristic data, and determine the curve deviation coefficient of the charge and discharge curve in different capacity intervals based on the matching of the charge and discharge curve of the vehicle-mounted power supply with the charge and discharge curve of the different corresponding characteristic data in different capacity intervals; Determine data deviation coefficients for different corresponding characteristic data according to average values ​​of curve deviation coefficients of charge and discharge curves in different capacity intervals; It is determined whether the vehicle power supply has a matching aging type based on the data deviation coefficient.

[0042] Further, when there is characteristic data with a data deviation coefficient that meets the requirement in the corresponding aging type, the corresponding aging type is determined to be a matching aging type.

[0043] In one embodiment, determining whether the test data of the vehicle-mounted power supply needs to be stored and processed as characteristic data of the charge-discharge curve matching the aging type specifically includes: Using the test data of the on-board power supply of the matching aging type, determining the number of historical tests of the matching aging type, and using the number of historical tests as the number of matching aging tests; Determine the data deviation coefficient of the characteristic data corresponding to the charge and discharge data of different matching aging test times and different charge and discharge curves according to the matching conditions of the charge and discharge data of different matching aging test times and the charge and discharge curves of the matching aging type; The data deviation coefficient is used to determine the number of identification deviation tests in the matching aging test number, and the matching conditions of different identification deviation test numbers with the test data of the vehicle power supply are used to determine the data deviation coefficients of different identification deviation test numbers. And the average value of the data deviation coefficients of different identification deviation numbers is used to determine whether it is necessary to store and process the test data of the vehicle power supply as characteristic data of the charging and discharging curve of the matching aging type.

[0044] Further, when the average value of the data deviation coefficients of different identification deviation times is less than the preset deviation coefficient, it is determined that the test data of the vehicle power supply needs to be stored and processed as the characteristic data of the charge and discharge curve matching the aging type.

[0045] Specifically, the data deviation coefficient is determined according to an average value of curve deviation coefficients of the charge and discharge curves in different capacity intervals and the charge and discharge curve of the matching aging type.

[0046] It can be understood that the identification deviation test times are matching aging test times where the data deviation coefficient does not meet the requirements.

[0047] In another embodiment, determining whether the test data of the vehicle-mounted power supply needs to be stored and processed as characteristic data of the charge and discharge curve matching the aging type specifically includes: Using the test data of the on-board power supply of the matching aging type, determining the number of historical tests of the matching aging type, and using the number of historical tests as the number of matching aging tests; Determining data deviation coefficients for different matching aging test times according to matching conditions between the charging and discharging data for different matching aging test times and the test data of the vehicle-mounted power supply; By using the average values ​​of the data deviation coefficients of different matching aging test times, it is determined whether the test data of the vehicle-mounted power supply needs to be stored and processed as the characteristic data of the charge-discharge curve of the matching aging type.

[0048] Optionally, determining whether the test data of the vehicle-mounted power supply needs to be stored and processed as characteristic data of the charge-discharge curve matching the aging type specifically includes: S31, using the test data of the vehicle power supply of the matching aging type, determining the number of historical tests of the matching aging type, and using it as the number of matching aging tests, and using the number of matching aging tests to determine the basic storage requirement coefficient of the test data of the vehicle power supply; S32 determines the data deviation coefficients of the characteristic data corresponding to the charging and discharging data of different matching aging test times and different charging and discharging curves according to the matching conditions of the charging and discharging data of different matching aging test times and the charging and discharging curves of the matching aging types, determines the identification deviation test times in the matching aging test times by using the data deviation coefficients, determines the data deviation coefficients of different identification deviation test times by using the matching conditions of the different identification deviation test times and the test data of the vehicle-mounted power supply, and determines the identification processing requirement coefficient according to the data deviation coefficients of different identification deviation test times; S33 determines a storage requirement coefficient based on an average value of the identification processing requirement coefficient and the basic storage requirement coefficient, and uses the storage requirement coefficient to determine whether the test data of the vehicle power supply needs to be stored as characteristic data of the charge and discharge curve matching the aging type.

[0049] Optionally, the above step S31 includes the following contents: S311: when it is determined that there is a charge-discharge curve of the matching aging type whose data deviation coefficient of the corresponding characteristic data is within a preset deviation coefficient interval based on the matching condition of the test data of the vehicle power supply and the charge-discharge curve of the matching aging type, it is determined that it is not necessary to store and process the test data of the vehicle power supply as the characteristic data of the charge-discharge curve of the matching aging type; when there is no charge-discharge curve of the matching aging type whose data deviation coefficient of the corresponding characteristic data is within the preset deviation coefficient interval, the process proceeds to step S312; S312 determines the number of historical tests of the matching aging type based on the test data of the vehicle-mounted power supply of the matching aging type, and uses it as the matching aging test number. When the matching aging test number is less than the preset aging test number threshold, the process proceeds to step S313. When the matching aging test number is not less than the preset aging test number threshold, the process proceeds to step S314. S313: When the average value of the data deviation coefficients of the characteristic data corresponding to the charge and discharge curves of different matching aging types is greater than the preset coefficient threshold, it is determined that the test data of the vehicle power supply does not need to be stored and processed as the characteristic data of the charge and discharge curves of the matching aging type; when the average value of the data deviation coefficients of the characteristic data corresponding to the charge and discharge curves of different matching aging types is not greater than the preset coefficient threshold, the process proceeds to step S314; S314 determines the basic storage requirement coefficient of the test data of the vehicle power supply by using the matching aging test times, and proceeds to step S32.

[0050] Optionally, the above step S32 includes the following contents: S321 determines the data deviation coefficient of the characteristic data corresponding to the charge and discharge data of different matching aging test times and different charge and discharge curves according to the matching conditions of the charge and discharge data of different matching aging test times and the charge and discharge curve of the matching aging type, and determines the identification deviation test times in the matching aging test times by using the data deviation coefficient; S322: when the number of identification deviation tests is less than the preset identification deviation number threshold, it is determined that the test data of the vehicle power supply does not need to be stored and processed as the characteristic data of the charge and discharge curve matching the aging type; when the number of identification deviation tests is not less than the preset identification deviation number threshold, the process proceeds to step S323; S323 determines the data deviation coefficients of different identification deviation test times by using the matching conditions of different identification deviation test times and the test data of the vehicle power supply. When there is no identification deviation test time with a data deviation coefficient less than a preset data deviation coefficient threshold, it is determined that there is no need to store and process the test data of the vehicle power supply as the characteristic data of the charge and discharge curve of the matching aging type. When there is an identification deviation test time with a data deviation coefficient less than the preset data deviation coefficient threshold, the process proceeds to step S324. S324: when the number of identification deviation tests when the data deviation coefficient is less than the preset data deviation coefficient threshold is greater than the preset deviation test number threshold, it is determined that the test data of the vehicle power supply needs to be stored and processed as the characteristic data of the charge and discharge curve matching the aging type; when the number of identification deviation tests when the data deviation coefficient is less than the preset data deviation coefficient threshold is not greater than the preset deviation test number threshold, the process proceeds to step S325; S325 uses the matching conditions of different identification deviation test times and the test data of the vehicle power supply to determine the data deviation coefficients of different identification deviation test times and determine the identification processing requirement coefficient. When the identification processing requirement coefficient is greater than the preset requirement coefficient threshold, it is determined that the test data of the vehicle power supply needs to be stored and processed as the characteristic data of the charging and discharging curve of the matching aging type. When the identification processing requirement coefficient is not greater than the preset requirement coefficient threshold, it proceeds to step S33.

[0051] Further, the aging identification result of the vehicle power supply includes a matching aging type of the vehicle power supply.

[0052] Specifically, the matched aging type is determined according to the charging and discharging data of the vehicle power supply and the recognition result of a preset aging recognition model. Specifically, the charging and discharging data of the vehicle power supply is used as the input of the preset aging recognition model, and the output of the preset aging recognition model is used as the aging recognition result of the vehicle power supply.

[0053] Example 2 In a second aspect, the present invention provides a computer system comprising: a memory and a processor that are communicatively connected, and a computer program stored in the memory and executable on the processor, wherein the processor executes the above-mentioned test data management method for testing equipment when running the computer program.

[0054] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device, equipment, and non-volatile computer storage medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0055] The above is a description of a specific embodiment of the specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0056] The above description is only one or more embodiments of this specification and is not intended to limit this specification. For those skilled in the art, one or more embodiments of this specification may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of one or more embodiments of this specification shall be included in the scope of the claims of this specification.

Claims

1. A test data management method for testing equipment, characterized in that: Specifically include: The device model of the vehicle power supply is determined based on the analysis results of the test data of the test equipment, and when it is determined that the storage and analysis processing of the test data of the vehicle power supply needs to be performed using the historical test data and aging defect data of the vehicle power supply of the device model, the next step is entered; Determine the charge and discharge data of the vehicle power supply in different capacity intervals according to the analysis results of the test data of the vehicle power supply, and when it is determined that the vehicle power supply has an aging defect based on the analysis results of the charge and discharge data, obtain the matching of the charge and discharge data with the charge and discharge curves of different aging types; When it is determined that the on-board power supply has a matching aging type based on the matching situation, determining whether it is necessary to store and process the test data of the on-board power supply as characteristic data of the charging and discharging curve of the matching aging type based on the matching situation of the test data and charging and discharging data of the on-board power supply of the matching aging type and the charging and discharging curve of the matching aging type; When there is no matching aging type, the aging identification result of the vehicle power supply is used to store and process the characteristic data of the charge and discharge curve of the vehicle power supply as the matching aging type.

2. The test data management method for testing equipment according to claim 1, characterized in that: The device model is determined according to the device characteristic information of the vehicle power supply read by the test device.

3. The test data management method for testing equipment according to claim 1, characterized in that: The historical test data includes the historical test times of the vehicle power supply of the device model.

4. The test data management method for testing equipment according to claim 1, characterized in that: Determine the need for storage, analysis and processing of vehicle power supply test data, including: Determine the historical test times of the vehicle power supply of the device model based on the historical test data of the vehicle power supply of the device model; Determine the number of historical tests of the vehicle power supply of the device model having aging defects based on the aging defect data of the vehicle power supply of the device model; The number of historical tests with aging defects is used as the number of defect tests, and whether storage, analysis and processing of the test data of the vehicle power supply need to be determined based on the proportion of the defect test number in the historical test number and the historical test number.

5. The test data management method for testing equipment according to claim 4, characterized in that: Determine whether it is necessary to store, analyze and process the test data of the vehicle power supply, including: When the number of historical tests is greater than a preset number threshold and the proportion of the defect test number in the historical test number is greater than a preset proportion threshold, it is determined that storage, analysis and processing of the test data of the vehicle power supply are required.

6. The test data management method for testing equipment according to claim 1, characterized in that: When there is no need to store, analyze and process the test data of the vehicle power supply, the aging identification result of the vehicle power supply is directly used to determine whether the vehicle power supply has an aging defect.

7. The test data management method for testing equipment according to claim 1, characterized in that: Determining whether the vehicle power supply has a matching aging type includes: Acquire characteristic data of the charge and discharge curve corresponding to different aging types, and use the characteristic data as corresponding characteristic data, and determine the curve deviation coefficient of the charge and discharge curve in different capacity intervals based on the matching of the charge and discharge curve of the vehicle-mounted power supply with the charge and discharge curve of the different corresponding characteristic data in different capacity intervals; Determine data deviation coefficients for different corresponding characteristic data according to average values ​​of curve deviation coefficients of charge and discharge curves in different capacity intervals; It is determined whether the vehicle power supply has a matching aging type based on the data deviation coefficient.

8. The test data management method for testing equipment according to claim 7, characterized in that: When there is characteristic data whose data deviation coefficient meets the requirement in the corresponding aging type, the corresponding aging type is determined to be a matching aging type.

9. The test data management method for testing equipment according to claim 1, characterized in that: The aging identification result of the vehicle power supply includes a matching aging type of the vehicle power supply.

10. A computer system comprising: A memory and a processor connected in communication, and a computer program stored in the memory and capable of running on the processor, characterized in that the processor executes a test data management method for testing equipment as described in any one of claims 1-9 when running the computer program.

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