Battery testing method and device, electronic equipment and storage medium

Abstract

The invention provides a battery testing method and device, electronic equipment and a storage medium, and relates to the technical field of energy storage batteries, and the method comprises the steps: obtaining a to-be-analyzed detection data file; determining a target detection method and a detection standard based on the detection data file; testing the target battery based on a target detection method, and screening test results based on a detection standard to generate a target detection result; the target detection result is processed according to a preset processing scheme and then stored, and a detection report is generated based on the target detection result. The corresponding target detection method and detection standard are generated through the detection data file, adaptive detection can be achieved for different detection scenes and detection objects, and more adaptive detection can be made by accurately mastering performance characteristics and test requirements of products.

Description

Technical Field

[0001] The present disclosure relates to the technical field of energy storage batteries, and in particular to a battery testing method, device, electronic equipment and storage medium. Background Art

[0002] At present, new energy is developing rapidly. As the main type of battery integrated into new energy battery energy storage systems, lithium batteries for energy storage in the energy storage market have electrical properties that determine the operational stability and safety of energy storage systems. Therefore, batteries for energy storage need to undergo strict electrical performance testing and screening. Various lithium battery testing institutions use charging and discharging equipment to test the charging and discharging performance of battery cells in accordance with standard methods such as GB / T36276. However, there are many samples and test items in a single test, and the data collection time based on the charging and discharging equipment is less than or equal to 1s, resulting in large test data for a single sample. This results in a large and cumbersome workload for preliminary data processing, reading, screening, and preliminary compliance judgment. In addition, during the processing process, manual reading of statistical data can quickly read the data required for the test, but data anomalies caused by test problems such as deviations in the test steps and inaccurate temperature deviations cannot be identified in time by humans, resulting in data errors and test conclusion errors.

[0003] At the same time, during the battery testing process, the data collection frequency is high (less than or equal to 1s / time) and the amount of information collected is large (battery voltage, current, power, capacity, temperature point, etc.). The test generally contains multiple test items. In addition, the content of a test file is limited. Long-term test items generate multiple test files, so the test process will generate a large amount of test data. In addition, changes in environmental factors during the test process lead to poor data quality and unavailable data, resulting in a waste of workload; the process of extracting from big data is cumbersome and prone to errors. Summary of the invention

[0004] The present disclosure aims to solve one of the technical problems in the related art at least to some extent.

[0005] To this end, an object of the present disclosure is to provide a battery testing method.

[0006] A second objective of the present disclosure is to provide a battery testing device.

[0007] A third objective of the present disclosure is to provide an electronic device.

[0008] A fourth object of the present disclosure is to provide a non-transitory computer-readable storage medium.

[0009] A fifth object of the present disclosure is to provide a computer program product.

[0010] To achieve the above-mentioned purpose, the first aspect of the present disclosure proposes a battery testing method, including: obtaining a detection data file to be analyzed; determining a target detection method and a detection standard based on the detection data file; testing a target battery based on the target detection method, and screening the test results based on the detection standard to generate a target detection result; storing the target detection result after processing it according to a preset processing scheme, and generating a detection report based on the target detection result.

[0011] According to one embodiment of the present disclosure, determining the target detection method and detection standard based on the detection data file includes: obtaining the process step data in the detection data file; determining the target detection method from a method library based on the process step data; and determining the detection standard based on the detection condition data corresponding to the target detection method and the detection rated value of the target battery.

[0012] According to one embodiment of the present disclosure, the test results are screened based on the detection standard to generate a target detection result, including: comparing the test process parameters in the test of the target battery with the detection standard; in response to the test process parameters being within the range calibrated by the detection standard, determining that the test process parameters are the target detection results.

[0013] According to one embodiment of the present disclosure, the method further includes: in response to the test process parameter being out of the range calibrated by the detection standard, retesting the target battery based on the target detection method.

[0014] According to one embodiment of the present disclosure, the method further includes: acquiring at least one detection item in the target detection method; and storing the target detection result in a storage space corresponding to the detection item.

[0015] According to one embodiment of the present disclosure, the target detection results are processed according to a preset processing scheme and then stored, including: calculating the target detection results to obtain one or more of the data range, mean, variance and standard deviation, and storing them.

[0016] According to one embodiment of the present disclosure, generating a test report based on the target test result further includes: obtaining comparative test results of other batteries; and generating the test report based on the comparative test result and the target test result.

[0017] To achieve the above-mentioned purpose, the second aspect embodiment of the present disclosure proposes a battery testing device, including: an acquisition module, used to acquire a detection data file to be analyzed; a determination module, used to determine a target detection method and a detection standard based on the detection data file; a testing module, used to test a target battery based on the target detection method, and filter the test results based on the detection standard to generate a target detection result; a generation module, used to store the target detection result after processing it according to a preset processing scheme, and generate a detection report based on the target detection result.

[0018] To achieve the above-mentioned purpose, the third aspect embodiment of the present disclosure proposes an electronic device, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to implement the battery testing method as described in the first aspect embodiment of the present disclosure.

[0019] To achieve the above-mentioned purpose, the fourth aspect of the present disclosure proposes a non-transitory computer-readable storage medium storing computer instructions, wherein the computer instructions are used to implement the battery testing method as described in the first aspect of the present disclosure.

[0020] To achieve the above-mentioned purpose, a fifth aspect of the present disclosure provides a computer program product, including a computer program, which, when executed by a processor, is used to implement the battery testing method as described in the first aspect of the present disclosure.

[0021] Therefore, by generating corresponding target detection methods and detection standards through detection data files, adaptive detection can be achieved for different detection scenarios and detection objects, and more adaptive detection can be made by accurately grasping the performance characteristics and testing requirements of the product. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 is a schematic diagram of a battery testing method according to an embodiment of the present disclosure;

[0023] Figure 2 is a schematic diagram of another battery testing method according to an embodiment of the present disclosure;

[0024] Figure 3 is a schematic diagram of another battery testing method according to an embodiment of the present disclosure;

[0025] Figure 4 is a schematic diagram of a battery testing device according to one embodiment of the present disclosure;

[0026] Figure 5 is a schematic diagram of an electronic device according to an embodiment of the present disclosure. DETAILED DESCRIPTION

[0027] Embodiments of the present disclosure are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present disclosure, and should not be construed as limiting the present disclosure.

[0028] The acquisition, storage, use, and processing of data in the technical solution disclosed in this disclosure are in compliance with the relevant provisions of relevant laws and regulations.

[0029] It should be noted that in the embodiments of the present application, certain software, components, models and other existing solutions in the industry may be mentioned, and they should be considered as exemplary. Their purpose is only to illustrate the feasibility of implementing the technical solution of the present application, but it does not mean that the applicant has or will necessarily use the solution.

[0030] Figure 1 is a schematic diagram of a battery testing method according to an embodiment of the present disclosure, such as Figure 1 As shown, the battery testing method includes the following steps:

[0031] S101, obtaining a detection data file to be analyzed.

[0032] The battery testing method of the embodiment of the present application can be applied to the scenario of factory testing of energy storage batteries. The executor of the battery test of the embodiment of the present application can be the battery testing device of the embodiment of the present application, and the battery testing device can be set on an electronic device.

[0033] In the embodiment of the present disclosure, the detection data file includes a variety of data, which is not limited herein. For example, the detection data file may include the model, parameters, and test items of the battery to be tested.

[0034] The detection data file can be manually input.

[0035] In another possible implementation, since the battery detection items are relatively fixed, they can also be automatically generated by the system according to the target battery to be tested. Specifically, the battery parameters of the target battery can be obtained, and then the corresponding detection data file can be automatically generated based on the battery parameters.

[0036] S102, determining a target detection method and a detection standard based on the detection data file.

[0037] It should be noted that the inspection mark is the standard for evaluating whether the test process and test results are qualified.

[0038] In the disclosed embodiment, due to the differences in battery parameters, test items, etc., the corresponding target detection methods and detection standards may be different. There may be many methods for determining the target detection method and detection standard based on the detection data file, which are not limited here.

[0039] In one possible implementation, the detection data files may be evaluated and designed by experts to generate target detection methods and detection standards.

[0040] In another possible implementation, the detection data file can be input into the generation model to generate the target detection method and detection standard corresponding to the detection data file. The generation model is designed in advance and stored in the storage space of the electronic device to facilitate retrieval and use when needed.

[0041] In another possible implementation, the format of the detection data file can also be first identified. For example, the format identification method in the present disclosure supports multiple formats such as CSV, Excel (XLS, XLSX), TXT, etc., and the file type is determined by reading the file extension or file header information. Then, according to the file format, an appropriate parsing method is adopted. For CSV files, a comma delimiter is used for data reading; for Excel files, the corresponding parsing library (such as Apache POI, Pandas, etc.) is called. Finally, after the data is parsed, data integrity and validity checks are performed, including verification of required fields, numerical ranges, and data types. Abnormal data will generate an error report and provide the user with the option of reloading the file. The read data is converted into the format required by the system (such as floating point numbers), and unit conversions (such as voltage, current, power, energy, capacity, etc.) are performed; the standard time recorded in each step is converted into hours.

[0042] S103, testing the target battery based on the target detection method, and screening the test results based on the detection standard to generate a target detection result.

[0043] S104, storing the target detection result after processing it according to a preset processing scheme, and generating a detection report based on the target detection result.

[0044] In the disclosed embodiment, the test report generated based on the target test result can be a test report of the target battery, or a test report generated by horizontal comparison after multiple batteries are tested, without any limitation. For example, after testing batteries A, B, C, and D, the test results of A, B, C, and D can be compared horizontally to determine the characteristics of different batteries, and then a test report can be generated based on the comparison results.

[0045] In another possible implementation, a test report of the target battery may be generated based on the test results. The test may include the capacity, resistivity, and discharge battery temperature of the target battery.

[0046] In the disclosed embodiment, the detection data file to be analyzed is first obtained, and then the target detection method and detection standard are determined based on the detection data file, and then the target battery is tested based on the target detection method, and the test results are screened based on the detection standard to generate the target detection result, and finally the target detection result is processed and stored according to the preset processing scheme, and a detection report is generated based on the target detection result. Thus, by generating the corresponding target detection method and detection standard through the detection data file, adaptive detection can be achieved for different detection scenarios and detection objects, and more adaptive detection can be made by accurately grasping the performance characteristics and test requirements of the product.

[0047] In the disclosed embodiment, the test results can be viewed separately according to the battery sample information and the test items to check whether the test data meets the standards. Then, after the test items are completed, based on the test battery sample information and stored results, the data, test method content, test conclusions and other data can be filled in according to the standard report requirements.

[0048] In the above embodiment, the target detection method and detection standard are determined based on the detection data file, and the detection method and detection standard can also be determined by Figure 2 Explaining further, the method includes:

[0049] S201, obtaining process step data in a detection data file.

[0050] It should be noted that the work step data are the specific implementation steps of the test.

[0051] In the embodiment of the present disclosure, the process step data in the detection data file can be obtained by performing natural language processing on the detection data file.

[0052] S202, determining a target detection method from a method library based on the process step data.

[0053] It should be noted that the method library is a pre-designed database that stores the environmental requirements, power stability, current temperature, etc. of each process step.

[0054] In the embodiment of the present disclosure, after the work step data is acquired, the target detection method corresponding to the work step data in the method library can be determined by matching the work step data with the data in the method library.

[0055] In actual operation, based on the working step part of the read detection data (temperature setting, charge and discharge steps, etc.), the method library stores the method working steps of various standard detection items. The temperature setting of the data, the order of charge and discharge steps, and other working step contents are matched with the method library to determine the target detection method.

[0056] S203, determining a detection standard based on the detection condition data corresponding to the target detection method and the detection rating of the target battery.

[0057] It should be noted that the target battery test rating can be various, depending on the actual test requirements and battery parameters. For example, it can be the target battery's charge and discharge power, current, charge and discharge cut-off voltage, etc. in the standard test items.

[0058] In the disclosed embodiment, the work step data in the detection data file is first obtained, and then the target detection method is determined from the method library based on the work step data, and finally the detection standard is determined based on the detection condition data corresponding to the target detection method and the detection rating of the target battery. Thus, through in-depth analysis of the work step data, the most suitable detection method for the current work step can be selected, thereby improving the accuracy of the detection results and effectively avoiding the occurrence of misjudgments caused by improper detection methods.

[0059] In the above embodiment, the test results are screened based on the detection criteria to generate the target detection results. Figure 3 Explaining further, the method includes:

[0060] S301, comparing the test process parameters of the target battery during the test with the detection standard.

[0061] S302: In response to the test process parameter being within a range calibrated by the detection standard, determining the test process parameter as a target detection result.

[0062] After detection based on the target detection method, the compliance of the test data is verified in combination with the basic information of the test samples. The compliance of the data is verified by testing the temperature, charge and discharge power, current, cut-off voltage and other contents of the test data, and non-compliant data is eliminated.

[0063] In another possible implementation, in response to the test process parameters not being within the range calibrated by the detection standard, the target battery is retested based on the target detection method.

[0064] After obtaining the target detection result, at least one detection item in the target detection method can be obtained, and then the target detection result can be stored in the storage space of the corresponding detection item. This can facilitate subsequent data processing and analysis and improve the user experience.

[0065] In another possible way, data can also be provided to the processing steps when corresponding to the data processing and detection methods of the same sample information, and the data range, mean and other data calculations of the same project can be performed to redefine the results; in addition, the basis for data calculation can be provided when there are related projects.

[0066] Corresponding to the battery testing methods provided in the above-mentioned embodiments, an embodiment of the present disclosure further provides a battery testing device. Since the battery testing device provided in the embodiment of the present disclosure corresponds to the battery testing methods provided in the above-mentioned embodiments, the implementation methods of the above-mentioned battery testing methods are also applicable to the battery testing device provided in the embodiment of the present disclosure and will not be described in detail in the following embodiments.

[0067] Figure 4 is a schematic diagram of a battery testing device according to an embodiment of the present disclosure. Figure 4 As shown, the battery testing device 400 includes: an acquisition module 410 , a determination module 420 , a testing module 430 and a generation module 440 .

[0068] The acquisition module 410 is used to acquire the detection data file to be analyzed.

[0069] The determination module 420 is used to determine the target detection method and detection standard based on the detection data file.

[0070] The testing module 430 is used to test the target battery based on the target detection method, and screen the test results based on the detection standard to generate the target detection result.

[0071] The generation module 440 is used to process and store the target detection results according to a preset processing scheme, and to generate a detection report based on the target detection results.

[0072] In the embodiment of the present disclosure, the determination module 420 is also used to: obtain the process step data in the detection data file; determine the target detection method from the method library based on the process step data; determine the detection standard based on the detection condition data corresponding to the target detection method and the detection rated value of the target battery.

[0073] In the disclosed embodiment, the test module 430 is further used to: compare the test process parameters of the target battery during the test with the detection standard; and in response to the test process parameters being within the range calibrated by the detection standard, determine that the test process parameters are the target detection results.

[0074] In the embodiment of the present disclosure, the test module 430 is further used to: in response to the test process parameters not being within the range calibrated by the detection standard, retest the target battery based on the target detection method.

[0075] In the embodiment of the present disclosure, the generation module 440 is further used to: obtain at least one detection item in the target detection method; and store the target detection result in the storage space of the corresponding detection item.

[0076] In the embodiment of the present disclosure, the generation module 440 is further used to: calculate the target detection result to obtain one or more of the data range, mean, variance and standard deviation, and store them.

[0077] In the embodiment of the present disclosure, the acquisition module 410 is further used to: pre-process the detection data file.

[0078] Therefore, by generating corresponding target detection methods and detection standards through detection data files, adaptive detection can be achieved for different detection scenarios and detection objects, and more adaptive detection can be made by accurately grasping the performance characteristics and testing requirements of the product.

[0079] In order to implement the above embodiment, the present disclosure further provides an electronic device 500, Figure 5 is a schematic diagram of an electronic device according to an embodiment of the present disclosure, such as Figure 5 As shown, the electronic device 500 includes: a processor 501 and a memory 502 that is communicatively connected to the processor, the memory 502 stores instructions that can be executed by at least one processor, and the instructions are executed by at least one processor 501 to implement the present disclosure. Figure 1-Figure 3 A battery testing method according to an embodiment.

[0080] In order to implement the above embodiments, the present disclosure also provides a non-transitory computer-readable storage medium storing computer instructions, wherein the computer instructions are used to enable the computer to implement the above embodiments. Figure 1-Figure 3 A battery testing method according to an embodiment.

[0081] In order to implement the above embodiments, the present disclosure also provides a computer program product, including a computer program. When the computer program is executed by a processor, the computer program implements the above embodiments. Figure 1-Figure 3 A battery testing method according to an embodiment.

[0082] It should be noted that personal information from users should be collected for legitimate and reasonable purposes and should not be shared or sold outside of these legitimate uses. In addition, such collection / sharing should be carried out after receiving the user's informed consent, including but not limited to notifying the user to read the user agreement / user notice and sign the agreement / authorization including authorization of relevant user information before the user uses the function. In addition, any necessary steps should be taken to protect and safeguard access to such personal information data and ensure that others who have access to personal information data comply with its privacy policy and procedures.

[0083] The present application is expected to provide an implementation scheme for users to selectively block the use or access of personal information data. That is, the present disclosure is expected to provide hardware and / or software to prevent or block access to such personal information data. Once the personal information data is no longer needed, the risk can be minimized by limiting data collection and deleting the data. In addition, when applicable, such personal information is de-identified to protect the privacy of the user.

[0084] In the description of the aforementioned embodiments, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0085] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description of this application, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0086] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code comprising one or more executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present application belong.

[0087] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in combination with these instruction execution systems, devices or apparatuses. For the purpose of this specification, "computer-readable medium" can be any device that contains, stores, communicates, propagates or transmits a program for use by an instruction execution system, device or apparatus, or in combination with these instruction execution systems, devices or apparatuses. More specific examples (non-exhaustive list) of computer-readable media include the following: an electrical connection with one or more wires (electronic device), a portable computer disk box (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), a fiber optic device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium and then editing, interpreting or processing in other suitable ways if necessary, and then stored in a computer memory.

[0088] It should be understood that the various parts of the present application can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0089] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0090] In addition, each functional unit in each embodiment of the present application may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0091] The storage medium mentioned above may be a read-only memory, a magnetic disk or an optical disk, etc. Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limiting the present application. A person of ordinary skill in the art may change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. A battery testing method, characterized in that: include: Obtaining the test data file to be analyzed; Determining a target detection method and a detection standard based on the detection data file; Testing the target battery based on the target detection method, and screening the test results based on the detection standard to generate a target detection result; The target detection result is processed according to a preset processing scheme and then stored, and a detection report is generated based on the target detection result.

2. The method according to claim 1, characterized in that The determining of the target detection method and detection standard based on the detection data file includes: Obtaining the process step data in the detection data file; Determining a target detection method from a method library based on the process step data; The detection standard is determined based on the detection condition data corresponding to the target detection method and the detection rating of the target battery.

3. The method according to claim 1 or 2, characterized in that: The screening of the test results based on the detection criteria to generate target detection results includes: Comparing the test process parameters of the target battery during the test with the test standard; In response to the test process parameter being within a range calibrated by the detection standard, the test process parameter is determined to be a target detection result.

4. The method according to claim 3, characterized in that: The method further comprises: In response to the test process parameter being out of the range calibrated by the detection standard, the target battery is retested based on the target detection method.

5. The method according to claim 1, characterized in that The method further comprises: Acquire at least one detection item in the target detection method; The target detection result is stored in the storage space of the corresponding detection item.

6. The method according to claim 1, characterized in that The storing of the target detection result after processing it according to a preset processing scheme includes: The target detection results are calculated to obtain one or more of the data range, mean, variance and standard deviation, and stored.

7. The method according to claim 1, characterized in that The generating of the detection report based on the target detection result further includes: Obtain comparative test results of other batteries; The detection report is generated based on the comparison detection result and the target detection result.

8. A battery testing device, characterized in that: include: An acquisition module, used to acquire the detection data file to be analyzed; A determination module, used to determine a target detection method and a detection standard based on the detection data file; A testing module, used to test the target battery based on the target detection method, and screen the test results based on the detection standard to generate a target detection result; The generation module is used to process and store the target detection results according to a preset processing scheme, and to generate a detection report based on the target detection results.

9. An electronic device, characterized in that: Including memory. processor; The processor runs a program corresponding to the executable program code by reading the executable program code stored in the memory, so as to implement the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions, which are used to implement the method according to any one of claims 1 to 7 when executed by a processor.

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