Electrolyte infiltration detection method, device, system, equipment, medium and product

Abstract

The invention relates to an electrolyte infiltration detection method, device, system and equipment, a medium and a product, based on the phenomenon that the infiltration time of a to-be-detected battery is prolonged and the electrolyte in the to-be-detected battery tends to be uniform, the distribution change of the electrolyte in the to-be-detected battery is reflected by the change of rotational inertia, and the detection accuracy is improved. And determining the distribution state of the electrolyte by combining the rotational inertia parameters of the to-be-detected battery at different infiltration moments so as to realize electrolyte infiltration detection. According to the scheme, the distribution state of the electrolyte can be detected without disassembling the to-be-detected battery, the situation that the distribution state of the electrolyte is changed in the actual test due to disassembly and the like is avoided, and the electrolyte infiltration detection accuracy is relatively high.

Description

Technical Field

[0001] The present application relates to the technical field of batteries, and particularly to a method, device, system, computer device, storage medium, and computer program product for detecting electrolyte infiltration. Background Art

[0002] With the development of new energy technologies, secondary batteries represented by lithium batteries have been widely applied in multiple fields such as energy storage systems, electric transportation, and aerospace, bringing great convenience in electricity use to people's daily production and life. The infiltration effect of the electrolyte is closely related to the performance and lifespan of the battery. Uniform infiltration helps the full contact between the electrolyte and the electrode material, improves the efficiency of lithium-ion migration, and enhances the charge and discharge performance of the battery.

[0003] However, in related technologies, the accuracy of electrolyte infiltration detection is relatively low. Summary of the Invention

[0004] Based on this, it is necessary to provide a method, device, system, computer device, storage medium, and computer program product for detecting electrolyte infiltration to improve the accuracy of electrolyte infiltration detection.

[0005] The present application provides a method for detecting electrolyte infiltration, including: obtaining the moment of inertia parameters of a battery under test at different infiltration times; determining the distribution state of the electrolyte in the battery under test according to the moment of inertia parameters.

[0006] In the above method for detecting electrolyte infiltration, based on the phenomenon that as the infiltration time of the battery under test extends, the electrolyte inside the battery under test tends to be uniform, the change in the moment of inertia is used to reflect the change in the distribution of the electrolyte inside the battery under test. By combining the moment of inertia parameters of the battery under test at different infiltration times, the distribution state of the electrolyte is determined to achieve electrolyte infiltration detection. This solution can achieve the detection of the distribution state of the electrolyte without disassembling the battery under test, and it will not occur that the distribution state of the electrolyte has changed during actual testing due to reasons such as disassembly, and has high accuracy in detecting electrolyte infiltration.

[0007] In some embodiments, the determining the distribution state of the electrolyte in the battery under test according to the moment of inertia parameters includes: determining the change in the moment of inertia at different infiltration times according to the moment of inertia parameters; determining the distribution state of the electrolyte in the battery under test according to the change in the moment of inertia.

[0008] In the above solution, by combining the change in the moment of inertia at different infiltration times to detect the distribution state of the electrolyte in the battery under test, and using the change in the moment of inertia to characterize the change in the electrolyte with the infiltration time, it has high accuracy in detecting the distribution state.

[0009] In some embodiments, the distribution state includes uniform distribution and non-uniform distribution; determining the distribution state of the electrolyte in the battery under test according to the change amount of the moment of inertia includes: when the change amount of the moment of inertia is less than or equal to a preset stability threshold, determining that the electrolyte in the battery under test is uniformly distributed; when the change amount of the moment of inertia is greater than the preset stability threshold, determining that the electrolyte in the battery under test is non-uniformly distributed.

[0010] In the above solution, by determining whether the change amount of the moment of inertia is less than or equal to the preset stability threshold, it is determined whether the electrolyte in the battery under test is uniformly distributed, which has a high distribution recognition efficiency.

[0011] In some embodiments, the distribution state includes uniform distribution and non-uniform distribution; determining the distribution state of the electrolyte in the battery under test according to the change amount of the moment of inertia includes: when the change amount of the moment of inertia is less than or equal to the preset stability threshold continuously appears for a preset number of times, determining that the electrolyte in the battery under test is uniformly distributed; when the change amount of the moment of inertia is less than or equal to the preset stability threshold does not continuously appear for the preset number of times, determining that the electrolyte in the battery under test is non-uniformly distributed.

[0012] In the above solution, by determining whether the state that the change amount of the moment of inertia is less than or equal to the preset stability threshold continuously appears for a preset number of times, it is determined whether the electrolyte in the battery under test is uniformly distributed, which has a high distribution recognition accuracy.

[0013] In some embodiments, determining the distribution state of the electrolyte in the battery under test according to the moment of inertia parameter includes: determining a relationship curve between the moment of inertia parameter and the infiltration moment according to the moment of inertia parameter; determining the distribution state of the electrolyte in the battery under test according to the relationship curve.

[0014] In the above solution, the relationship curve between the moment of inertia parameter and the infiltration moment intuitively characterizes the change in the electrolyte distribution of the battery under test, and the relationship curve is used to determine the distribution state of the electrolyte in the battery under test, which has high detection convenience.

[0015] In some embodiments, the method further includes: obtaining the disassembly interface image information of the battery under test at the infiltration moment when the electrolyte is uniformly distributed; verifying the detection result of the distribution state according to the disassembly interface image information.

[0016] In the above solution, the accuracy of the distribution state detection by the moment of inertia parameter can also be verified by detecting the disassembly interface image information obtained after disassembling the battery under test, so as to improve the reliability of the detection result.

[0017] In some embodiments, before obtaining the moment of inertia parameters of the battery under test at different wetting times, the method further includes: when the calibration of the moment of inertia testing device is completed, placing the battery under test on the moment of inertia testing device to set up a test bench; when the test bench setup is completed, controlling the moment of inertia testing device to start running.

[0018] In the above solution, when the calibration of the moment of inertia testing device is completed and the test bench setup is completed, the moment of inertia is measured, effectively reducing measurement errors and improving the accuracy of the moment of inertia parameters.

[0019] In some embodiments, when the test bench setup is completed, controlling the moment of inertia testing device to start running includes: when the test bench setup is completed, obtaining the environmental parameters of the battery under test; when it is determined that the preset wetting conditions are met according to the environmental parameters, controlling the moment of inertia testing device to start running.

[0020] In the above solution, after the test bench setup is completed, the environmental parameters of the battery under test are also detected, and the moment of inertia testing device is started only when the preset wetting conditions are met, enabling the test to be carried out under suitable wetting conditions and improving the detection reliability.

[0021] In some embodiments, the method further includes: determining the consumption of the electrolyte in the battery under test according to the moment of inertia parameters of the battery under test.

[0022] In the above solution, the consumption of the electrolyte in the battery under test can also be inferred from the moment of inertia parameters, realizing non-destructive detection of electrolyte consumption.

[0023] In some embodiments, determining the consumption of the electrolyte in the battery under test according to the moment of inertia parameters includes: determining the mass parameters of the battery under test according to the moment of inertia parameters of the battery under test; determining the consumption of the electrolyte in the battery under test according to the change amount of the mass parameters.

[0024] In the above solution, the mass parameters of the battery under test are inferred in combination with the moment of inertia parameters, and the change in the mass parameters is used to characterize the consumption of the electrolyte, having high accuracy in detecting electrolyte consumption.

[0025] In some embodiments, the method further includes: determining the mass parameters of the battery under test according to the moment of inertia parameters of the battery under test in a fully discharged state.

[0026] In the above solution, considering that the internal mass distribution of the battery under test is more uniform in the fully discharged state, the mass parameters are calculated using the moment of inertia parameters of the battery under test in the fully discharged state, improving the calculation accuracy of the mass parameters.

[0027] The present application also provides an electrolyte infiltration detection device, including: an inertia acquisition module for acquiring the moment of inertia parameters of a battery under test at different infiltration times; an infiltration detection module for determining the distribution state of the electrolyte in the battery under test according to the moment of inertia parameters.

[0028] The present application also provides an electrolyte infiltration detection system, including: an infiltration incubator, a moment of inertia testing device, and a controller. The moment of inertia testing device is used to collect the moment of inertia parameters of a battery under test at different infiltration times; the moment of inertia testing device is arranged inside the infiltration incubator; the controller is connected to the infiltration incubator and the moment of inertia testing device, and the controller is used to execute the steps of the above-mentioned electrolyte infiltration detection method.

[0029] The present application also provides a computer device, including a memory and a processor. The memory stores a computer program, and when the processor executes the computer program, the steps of the above-mentioned electrolyte infiltration detection method are realized.

[0030] The present application also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the above-mentioned electrolyte infiltration detection method are realized.

[0031] The present application also provides a computer program product, including a computer program. When the computer program is executed by a processor, the steps of the above-mentioned electrolyte infiltration detection method are realized. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] By reading the following detailed description of the preferred embodiments, various other advantages and benefits will become clear to those of ordinary skill in the art. The drawings are only for the purpose of showing the preferred embodiments and are not considered to be a limitation of the present application. Moreover, in all the drawings, the same reference numerals are used to represent the same components. In the drawings:

[0033] Figure 1 It is a schematic flow chart of the electrolyte infiltration detection method in some embodiments of the present application;

[0034] Figure 2 It is a schematic flow chart of the electrolyte infiltration detection method in some other embodiments of the present application;

[0035] Figure 3 It is a schematic flow chart of the electrolyte infiltration detection method in some other embodiments of the present application;

[0036] Figure 4 It is a schematic flow chart of the electrolyte infiltration detection method in some other embodiments of the present application;

[0037] Figure 5Schematic diagram of the electrolyte infiltration detection method in other embodiments of the present application;

[0038] Figure 6 Schematic diagram of the relationship curve in some embodiments of the present application;

[0039] Figure 7 Schematic diagram of the electrolyte infiltration detection method in some other embodiments of the present application;

[0040] Figure 8 Schematic diagram of the electrolyte infiltration detection method in still other embodiments of the present application;

[0041] Figure 9 Schematic diagram of the electrolyte infiltration detection method in other embodiments of the present application;

[0042] Figure 10 Schematic diagram of the electrolyte infiltration detection method in some other embodiments of the present application;

[0043] Figure 11 Schematic diagram of the electrolyte consumption detection process in other embodiments of the present application;

[0044] Figure 12 Schematic diagram of the structure of the electrolyte infiltration detection device in some embodiments of the present application;

[0045] Figure 13 Schematic diagram of the structure of the electrolyte infiltration detection device in other embodiments of the present application;

[0046] Figure 14 Schematic diagram of the structure of the electrolyte infiltration detection device in some other embodiments of the present application;

[0047] Figure 15 Schematic diagram of the structure of the electrolyte infiltration detection device in still other embodiments of the present application;

[0048] Figure 16 Schematic diagram of the structure of the electrolyte infiltration detection system in some embodiments of the present application;

[0049] Figure 17 Schematic diagram of the internal structure of a computer device in some embodiments of the present application. Detailed implementation manners

[0050] Hereinafter, embodiments of the technical solutions of the present application will be described in detail with reference to the accompanying drawings. The following embodiments are only used to illustrate the technical solutions of the present application more clearly, and thus are only examples and should not be used to limit the protection scope of the present application.

[0051] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the technical field to which this application belongs; the terms used herein are for the purpose of describing specific embodiments only and are not intended to limit this application; the terms "including" and "having" and any variations thereof in the description of the specification, claims, and above-mentioned drawings of this application are intended to cover non-exclusive inclusion.

[0052] In the description of the embodiments of this application, technical terms such as "first" and "second" are only used to distinguish different objects and cannot be understood as indicating or implying relative importance or implicitly specifying the quantity, specific order, or primary-secondary relationship of the indicated technical features. In the description of the embodiments of this application, the meaning of "a plurality of" is more than two, unless otherwise specifically defined.

[0053] Reference to "embodiment" herein means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of this application. The phrase appears in various places in the specification and does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment mutually exclusive with other embodiments. Those skilled in the art will explicitly and implicitly understand that the embodiments described herein can be combined with other embodiments.

[0054] In the description of the embodiments of this application, the term "and / or" is merely a description of the association relationship of associated objects, indicating that three relationships can exist. For example, A and / or B can represent: A exists alone, A and B exist simultaneously, and B exists alone. In addition, the character " / " herein generally represents an "or" relationship between the associated objects before and after.

[0055] In the description of the embodiments of this application, the term "a plurality of" means more than two (including two). Similarly, "a plurality of groups" means more than two groups (including two groups), and "a plurality of pieces" means more than two pieces (including two pieces).

[0056] In the description of the embodiments of this application, unless otherwise clearly specified and limited, technical terms such as "install", "connect", "couple", "fix", etc. should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or integrated; it can also be a mechanical connection or an electrical connection; it can be directly connected or indirectly connected through an intermediate medium, and can be the internal communication of two components or the interaction relationship between two components. For those of ordinary skill in the art, the specific meanings of the above terms in the embodiments of this application can be understood according to specific circumstances.

[0057] At present, from the perspective of the development of the market situation, the application of batteries is becoming more and more extensive. It is not only applied to energy storage power systems such as hydropower, thermal power, wind power, and solar power plants, but also widely used in electric transportation such as electric bicycles, electric motorcycles, and electric vehicles, as well as in many fields such as aerospace. With the continuous expansion of the application fields of batteries, the market demand is also continuously increasing.

[0058] Uniform infiltration of the electrolyte in the battery can effectively improve the life and performance of the battery. During the battery production and processing process, it is of great significance to detect the infiltration of the electrolyte in the battery. At present, the electrolyte infiltration detection methods mostly focus on disassembling the batteries at different infiltration times, and then judging whether there are abnormalities (such as black spots, etc.) at the interface to determine whether the infiltration of the battery meets the requirements.

[0059] However, since the above detection method requires disassembling the battery, after disassembling, when actually testing, due to a certain time interval, the distribution state of the electrolyte inside the battery has changed, and it cannot accurately represent the distribution situation at the required test infiltration moment, resulting in poor accuracy of the infiltration detection.

[0060] Through in-depth research, it is found that during the infiltration process of the electrolyte in the battery, as the infiltration time prolongs, the electrolyte inside the battery gradually tends to be evenly distributed. And the mass uniformity inside an object can be reflected in the difference in the moment of inertia of the object. For the same object, the more evenly its internal mass is distributed, the smaller the change in its moment of inertia will be. When it is completely evenly distributed, the internal mass will no longer change. Therefore, it can be considered to use the moment of inertia of the battery to characterize the degree of uniform distribution of the electrolyte inside the battery, and use the moment of inertia to realize the infiltration detection of the electrolyte.

[0061] Based on the above considerations, according to the phenomenon that as the infiltration time of the battery to be tested prolongs, the electrolyte inside the battery to be tested also tends to be uniform, the change in the moment of inertia is used to reflect the change in the distribution of the electrolyte inside the battery to be tested. Combining the moment of inertia parameters of the battery to be tested at different infiltration moments, the distribution state of the electrolyte is determined to realize the infiltration detection of the electrolyte.

[0062] Through the above scheme, it is possible to detect the distribution state of the electrolyte without disassembling the battery to be tested, and there will be no situation where the distribution state of the electrolyte has changed during actual testing due to reasons such as disassembling, which has high accuracy in detecting the infiltration of the electrolyte.

[0063] The electrolyte infiltration detection method provided by the embodiments of the present application is used to detect the electrolyte infiltration of a lithium-ion battery. The shape of the lithium-ion battery is not unique and can be a cylindrical battery, a square shell battery, etc., which is not specifically limited and can be selected according to actual needs. The electrolyte infiltration detection can be applied in any stage of the battery processing where there is a need for infiltration detection, such as the battery assembly stage or the battery formation test stage, etc., which is also not limited.

[0064] Please refer to Figure 1 , the present application provides an electrolyte infiltration detection method, including step 102 and step 104.

[0065] Step 102, obtain the moment of inertia parameters of the battery under test at different infiltration times.

[0066] Specifically, in this embodiment, the battery under test refers to the battery that needs to be detected for electrolyte infiltration, and its type is not unique. For the sake of understanding, in the following embodiments, the battery under test can be considered as a cylindrical battery core. The infiltration time refers to any infiltration time point during the infiltration stage of the battery under test. The moment of inertia parameter refers to the measure of inertia during the rotation of the battery under test, which can be defined as the integral of the square of the distance r from each mass element dm to the axis of rotation, that is, the moment of inertia parameter I = ∫r 2 dm. 2 dm.

[0067] In an actual scenario, after the electrolyte is injected into the battery housing, the electrolyte is gradually sucked into the electrode by capillary action. When it is just injected, the electrolyte is concentrated at the center of the battery, and at this time, the internal mass distribution of the battery is uneven. As the infiltration time prolongs, the electrolyte is gradually absorbed by the electrode, and finally the electrolyte is completely evenly distributed in the electrode, and at this time, the internal mass distribution of the battery is uniform.

[0068] For an object with the same mass and shape and size, the more uneven the internal mass distribution, the larger the moment of inertia value. During the infiltration process of the battery under test, the gradual tendency of the electrolyte to be uniform is reflected in the change of the moment of inertia value. Specifically, as the infiltration time prolongs, the moment of inertia parameter gradually decreases and finally stabilizes. Therefore, the moment of inertia parameters of the battery under test at different infiltration times can be collected to achieve infiltration detection.

[0069] It should be noted that the method for obtaining the moment of inertia parameter is not unique. In one embodiment, the battery under test can be placed in a moment of inertia testing device, and the moment of inertia parameter can be collected by the moment of inertia testing device and sent to the execution device of the electrolyte infiltration detection method. This execution device can be a device configured separately from the moment of inertia testing device, such as a device for battery processing control. In another embodiment, this execution device can also be the control device of the moment of inertia testing device, which is not specifically limited.

[0070] It can be understood that the method for testing the moment of inertia parameter of the battery under test is not unique. In one embodiment, the torsional pendulum method can be used to test the moment of inertia parameter. In other embodiments, the three-wire pendulum method or the vibration table method can also be used to test the moment of inertia parameter of the battery under test, and no specific limitation is made.

[0071] Step 104: Determine the distribution state of the electrolyte in the battery under test according to the moment of inertia parameter.

[0072] Specifically, the distribution state refers to the distribution of the electrolyte in the battery under test, and its specific form is not unique. It can be the result of whether the electrolyte in the battery under test has been evenly distributed, or the change trend of whether the electrolyte gradually tends to be evenly distributed with the change of the infiltration time, etc., and no specific limitation is made. After obtaining the moment of inertia parameters of the battery under test under different infiltration and etching conditions, it is only necessary to analyze the change of the moment of inertia parameter with the infiltration time by combining the moment of inertia parameters at each infiltration moment, and then the distribution state of the electrolyte in the battery under test can be obtained.

[0073] The above electrolyte infiltration detection method is based on the phenomenon that as the infiltration time of the battery under test extends, the electrolyte inside the battery under test also tends to be uniform. The change of the moment of inertia is used to reflect the change of the distribution of the electrolyte inside the battery under test. By combining the moment of inertia parameters of the battery under test at different infiltration moments, the distribution state of the electrolyte is determined to achieve electrolyte infiltration detection. This solution can realize the detection of the distribution state of the electrolyte without disassembling the battery under test, and the situation that the distribution state of the electrolyte has changed during actual testing due to disassembly and other reasons will not occur, and it has high accuracy in electrolyte infiltration detection.

[0074] Furthermore, the above electrolyte infiltration detection method can be realized without the user manually disassembling the battery under test, has extremely high test efficiency, and can effectively reduce the situation of misjudging non-uniform infiltration as uniform infiltration or misjudging uniform infiltration as non-uniform infiltration, and can accurately reflect the distribution state of the electrolyte in the battery under test without damage and in-situ.

[0075] Please refer to Figure 2 , in some embodiments, step 104 includes step 202 and step 204.

[0076] Step 202: Determine the change amount of the moment of inertia at different infiltration moments according to the moment of inertia parameter.

[0077] Step 204: Determine the distribution state of the electrolyte in the battery under test according to the change amount of the moment of inertia.

[0078] Specifically, the change in moment of inertia refers to the change in the moment of inertia parameter obtained at the current moment relative to the moment of inertia parameter obtained at the previous moment. In an actual scenario, considering that as the soaking time prolongs, the moment of inertia parameter of the battery under test should theoretically gradually decrease and tend to be stable, the difference between the moment of inertia parameter at the previous moment and the moment of inertia parameter at the current moment can be used as the change in moment of inertia at the current soaking moment.

[0079] If the electrolyte in the battery under test is evenly distributed, then theoretically the moment of inertia of the battery under test will not change, that is, the change in moment of inertia should theoretically be 0. Therefore, in this embodiment, after obtaining the change in moment of inertia, the distribution state of the electrolyte in the battery under test can be determined according to the magnitude of the change in moment of inertia, that is, the distribution state of the electrolyte in the battery under test can be determined.

[0080] It can be understood that in other embodiments, the distribution state of the electrolyte can also be determined by monitoring the corresponding relationship curve between the moment of inertia parameter and the soaking moment, etc., and the specific method is not limited.

[0081] The above solution combines the change in moment of inertia at different soaking moments to detect the distribution state of the electrolyte in the battery under test, and uses the change in moment of inertia to characterize the change of the electrolyte with the soaking time, which has high accuracy in detecting the distribution state.

[0082] Please refer to Figure 3 , in some embodiments, the distribution state includes uniform distribution and non-uniform distribution; step 204 includes step 302 and step 304.

[0083] Step 302, when the change in moment of inertia is less than or equal to the preset stability threshold, it is determined that the electrolyte in the battery under test is evenly distributed.

[0084] Step 304, when the change in moment of inertia is greater than the preset stability threshold, it is determined that the electrolyte in the battery under test is non-uniformly distributed.

[0085] Specifically, the preset stability threshold is a pre-set maximum change in moment of inertia allowed when the electrolyte of the battery under test is evenly distributed. The change in rotation is a parameter used to characterize the change in the moment of inertia parameter at different wetting times. It should be noted that the type of the change in moment of inertia is not unique. In one embodiment, the change in moment of inertia can be represented by the difference in the moment of inertia parameters at adjacent wetting times. In another embodiment, the ratio of the difference between the moment of inertia parameter at the current wetting time and the moment of inertia parameter at the previous wetting time to the moment of inertia parameter at the previous wetting time can also be used as the change in moment of inertia at the current wetting time. Correspondingly, according to the different types of the change in moment of inertia, the type of the preset stability threshold will also be different. If the change in moment of inertia is the above-mentioned difference, the preset stability threshold should also be characterized by the moment of inertia parameter. If the change in moment of inertia is the above-mentioned ratio, the preset stability threshold should be characterized by a percentage.

[0086] After obtaining the change in moment of inertia, it is directly compared and analyzed with the preset stability threshold. If the change in moment of inertia is less than or equal to the preset stability threshold, it is considered that the quality of the battery under test is uniform, that is, the electrolyte of the battery under test is evenly distributed. If the change in moment of inertia is greater than the preset stability threshold, it is considered that the quality of the battery under test is still non-uniform, that is, the electrolyte of the battery under test is unevenly distributed.

[0087] It should be noted that the size of the preset stability threshold is not unique. According to the different types of the battery under test, the size of the preset stability threshold will also be different, and it can be specifically configured according to actual needs. In one embodiment, considering that theoretically, after the electrolyte of the battery under test is evenly distributed, the moment of inertia parameter will be in a stable state, the preset stability threshold can be set as small as possible to improve the detection accuracy.

[0088] For example, in one embodiment, taking the change in moment of inertia as the above-mentioned difference as an example, correspondingly, the preset stability threshold can be set to 0 (unit: kg·cm² (kilogram·square centimeter), and the unit of the moment of inertia parameter in this article is kg·cm²)-0.0005 (kg·cm²). In an actual scenario, the change in moment of inertia can be configured as any value among 0, 0.0005, and 0-0.0005 according to requirements, such as 0.0001, 0.0003, etc.

[0089] In another embodiment, taking the change in moment of inertia as the above-mentioned ratio as an example, correspondingly, the preset stability threshold can be set to 0-0.2% (in other embodiments, it can also be set slightly greater than 0.2%, and the specific value is not limited). In this way, in an actual scenario, the change in moment of inertia can be configured as any value among 0, 0.2%, and 0-0.2% according to requirements, such as 0.05%, 0.1%, etc.

[0090] More specifically, in one embodiment, the preset stability threshold can be set to 0. Correspondingly, when the change in moment of inertia is detected to be 0, it is determined that the electrolyte of the battery under test is evenly distributed; when the change in moment of inertia is detected to be non-zero, it is determined that the electrolyte of the battery under test is unevenly distributed.

[0091] In the above solution, by judging whether the change in moment of inertia is less than or equal to the preset stability threshold, it is determined whether the electrolyte of the battery under test is evenly distributed, which has a high distribution recognition efficiency.

[0092] For ease of understanding, the following takes the test results of a certain battery in an actual scenario as an example for explanation. The moment of inertia parameters are measured at the soaking times of 0h (hour), 0.5h, 1h, 1.5h, 2h, 2.5h, 3h, 4h, 6h, 8h, 12h, 16h, and 24h respectively, and the moment of inertia parameters at each soaking time are 0.1759 (0h), 0.1755 (0.5h), 0.1752 (1h), 0.1745 (1.5h), 0.1739 (2h), 0.1730 (2.5h), 0.1719 (3h), 0.1710 (4h), 0.1699 (6h), 0.1692 (8h), 0.1691 (12h), 0.1690 (16h), and 0.1690 (24h) in sequence.

[0093] When the change in moment of inertia is characterized by a difference value, the preset stability threshold is set to 0.0001; when the change in moment of inertia is characterized by a ratio value, the preset stability threshold is set to 0.1%. Through analysis, when the soaking time reaches 12h, the difference between its moment of inertia parameter and that of the previous soaking moment is 0.0001, which is equal to the preset stability threshold (0.0001), indicating that the electrolyte is evenly distributed at 12h. Similarly, when the soaking time reaches 12h, the ratio of the difference between its moment of inertia parameter and that of the previous soaking moment is 0.059%, which is less than the preset stability threshold (0.1%), indicating that the electrolyte is evenly distributed at 12h.

[0094] Please refer to Figure 4 , in some embodiments, the distribution state includes an even distribution and an uneven distribution; step 204 includes step 402 and step 404.

[0095] Step 402, when the change in moment of inertia is less than or equal to the preset stability threshold for a preset number of consecutive times, it is determined that the electrolyte of the battery under test is evenly distributed.

[0096] Step 404, when the change in moment of inertia is not less than or equal to the preset stability threshold for a preset number of consecutive times, it is determined that the electrolyte of the battery under test is unevenly distributed.

[0097] Specifically, different from the above embodiments where the change in moment of inertia is less than or equal to a preset stability threshold, and it is considered that the electrolyte of the battery under test is evenly distributed, the solution of this embodiment takes into account that there will be certain errors in actual measurement, and the change in moment of inertia may be less than or equal to the preset stability threshold due to errors. This embodiment sets a preset number of times. When the change in moment of inertia is less than or equal to the preset stability threshold continuously appears for the preset number of times, it is considered that the electrolyte of the battery under test is evenly distributed; otherwise, it is considered that the electrolyte of the battery under test is unevenly distributed.

[0098] It should be noted that the size of the preset number of times is not unique. In one embodiment, it can be set to be greater than 1. For example, the preset number of times can be set to 2 - 5. In an actual scenario, the preset number of times can be taken as 2, 3, 4, 5, etc., and specific values are not limited.

[0099] The above solution determines whether the electrolyte of the battery under test is evenly distributed by judging whether the state where the change in moment of inertia is less than or equal to the preset stability threshold continuously appears for the preset number of times, and has a high accuracy in distribution recognition.

[0100] Please refer to Figure 5 , in some embodiments, step 104 includes step 502 and step 504.

[0101] Step 502, determine the relationship curve between the moment of inertia parameter and the infiltration moment according to the moment of inertia parameter.

[0102] Step 504, determine the distribution state of the electrolyte in the battery under test according to the relationship curve.

[0103] Specifically, the relationship curve represents the trend of the measured moment of inertia parameter changing with the infiltration time. Correspondingly, in the solution of this embodiment, the distribution state can be the detection result of whether the electrolyte is evenly distributed, or the situation of the electrolyte distribution changing with the infiltration time, etc., and specific values are not limited.

[0104] In an actual scenario, the moment of inertia parameter can be obtained at regular intervals, that is, the moment of inertia parameters of the battery under test at different infiltration moments are obtained. After that, the infiltration moment and the moment of inertia parameter are combined for fitting to obtain the relationship curve of the infiltration moment - moment of inertia parameter. For example, in a more detailed embodiment, when the duration of the infiltration operation (infiltration time) reaches 0.5h, 1h, 1.5h, 2h, 2.5h, 3h, 4h, 6h, 8h, 12h, 16h, and 24h, the moment of inertia parameters are respectively obtained, and finally the Figure 6 relationship curve shown is obtained. From the relationship curve, it can be seen that after the continuous infiltration duration reaches 12 hours, the moment of inertia parameter basically remains unchanged, that is, the electrolyte is evenly distributed.

[0105] In the above solution, the relationship curve between the moment of inertia parameter and the infiltration time visually characterizes the change in the electrolyte distribution of the battery under test, and the relationship curve is used to judge the distribution state of the electrolyte in the battery under test, which has high detection convenience.

[0106] Please refer to Figure 7 , in some embodiments, the method further includes step 702 and step 704.

[0107] Step 702: Obtain the image information of the disassembly interface of the battery under test at the infiltration time when the electrolyte is evenly distributed.

[0108] Step 704: Verify the detection result of the distribution state according to the image information of the disassembly interface.

[0109] Specifically, the image information of the disassembly interface is the image information obtained by performing an image acquisition operation on the disassembly interface after disassembling the battery under test. Disassembling the battery under test can be automatically performed by controlling relevant disassembly equipment or manually by the user, and no specific limitation is made.

[0110] In order to verify the detection accuracy when detecting the electrolyte infiltration through the moment of inertia parameter, when it is detected that the electrolyte of the battery under test is evenly distributed, the battery under test at the infiltration time of the even distribution is disassembled to obtain the image information of the disassembly interface of the battery under test. After that, by performing image recognition and other analyses on the image information of the disassembly interface, it is judged whether there are interface abnormalities such as black spots on the disassembly interface, so as to verify whether the result of the even distribution of the electrolyte is accurate. For example, if it is analyzed according to the image information of the disassembly interface that there are abnormalities such as black spots on the disassembly interface, it is determined that the electrolyte in the battery under test is unevenly distributed; if there are no abnormalities such as black spots, it is determined that the electrolyte in the battery under test is evenly distributed.

[0111] In the above solution, the accuracy of the distribution state detection by the moment of inertia parameter can also be verified by detecting the image information of the disassembly interface obtained after disassembling the battery under test, so as to improve the reliability of the detection result.

[0112] It can be understood that in other embodiments, considering that the general image acquisition device has low acquisition accuracy for the image information of the disassembly interface, the detection result can be verified by manual visual inspection in combination with the image of the disassembly interface, and specific selection can be made according to the actual requirements, and no limitation is made here.

[0113] Further, in some embodiments, the test battery at the wetting moment before or after the wetting moment when the electrolyte is evenly distributed can also be combined to verify the detection result of the distribution state. In this embodiment, there are multiple test batteries with the same model. The test battery corresponding to the wetting moment when the electrolyte is evenly distributed (which can be understood as the current moment) can be disassembled to obtain the first disassembly interface image information; the test battery before the electrolyte is evenly distributed (which can be the previous wetting moment) can be disassembled to obtain the second disassembly interface image information; the test battery after the electrolyte is evenly distributed (which can be the next wetting moment) can be disassembled to obtain the third disassembly interface image information. Finally, by comparing the first disassembly interface image information, the second disassembly interface image information, and the third disassembly interface image information, the detection result of the distribution state is verified.

[0114] For example, if it is analyzed from the second disassembly interface image information that there is a slight abnormality or no abnormality at the disassembly interface, from the first disassembly interface image information that there is a serious abnormality at the disassembly interface, and from the third disassembly interface image information that there is no abnormality at the disassembly interface, it means that the electrolyte in the test battery is evenly distributed at the current wetting moment.

[0115] Please refer to Figure 8 , in some embodiments, before step 102, the method further includes step 802 and step 804.

[0116] Step 802, when the calibration of the moment of inertia test device is completed, place the test battery on the moment of inertia test device to build a test bench.

[0117] Step 804, when the test bench is built, control the moment of inertia test device to start running.

[0118] Specifically, the moment of inertia test device is also a device used to drive the test battery to rotate and collect the moment of inertia parameters of the test battery. In the solution of this embodiment, the moment of inertia parameters are obtained through testing with the moment of inertia test device. To improve the test accuracy, before testing, the moment of inertia test device needs to be calibrated first to minimize the test deviation of the moment of inertia test device (such as the test deviation being less than or equal to 0.1%). After calibration, place the test battery on the moment of inertia test device and connect other components to complete the construction of the test bench. Finally, just start the moment of inertia test device to run, and the detection of the moment of inertia parameters can be carried out.

[0119] It should be noted that the calibration method of the moment of inertia test device is not unique. In one embodiment, after selecting a standard part, zero calibration, standard part comparison, and multi-point calibration operations can be performed on the moment of inertia test device, and the specific details are not limited.

[0120] The type of the moment of inertia testing device is not unique. In one embodiment, a moment of inertia testing device using the torsion pendulum method can be adopted. In other embodiments, other types of moment of inertia testing devices can also be used, and no specific limitation is made.

[0121] In the above solution, when the moment of inertia testing device is calibrated and the test bench is set up, the moment of inertia is tested, effectively reducing the measurement error and improving the accuracy of the moment of inertia parameter.

[0122] Please refer to Figure 9 , in some embodiments, step 804 includes step 902 and step 904.

[0123] Step 902, when the test bench is set up, obtain the environmental parameters of the battery to be tested.

[0124] Step 904, when it is determined that the preset infiltration condition is satisfied according to the environmental parameters, control the moment of inertia testing device to start running.

[0125] Specifically, the environmental parameters are also the parameters related to the infiltration environment where the battery to be tested is located. Its type is not unique and can be temperature parameters, humidity parameters, etc., and no specific limitation is made. The preset infiltration condition refers to the operating environment that needs to be satisfied for the electrolyte infiltration of the battery to be tested, which is set in advance. According to different environmental parameters, the preset infiltration condition will also be different, and details will not be elaborated here.

[0126] In the solution of this embodiment, after the test bench is set up, it is also necessary to verify the environmental parameters of the battery to be tested. When the environmental parameters meet the preset infiltration condition, then start the moment of inertia testing device to run, so as to realize the detection of electrolyte infiltration while the electrolyte of the battery to be tested is infiltrated.

[0127] In one embodiment, the environmental parameters include the temperature of the incubator of the battery to be tested. In this embodiment, the battery to be tested is placed in an infiltration incubator. When the temperature of the incubator reaches the set temperature, it is considered that the preset infiltration condition is satisfied, and at this time, the moment of inertia testing device will be started. In other embodiments, the environmental parameters may also include the infiltration duration. In this embodiment, after the preset duration of infiltration is started, the moment of inertia testing device is started, and the moment of inertia parameters are collected at a certain time interval.

[0128] In the above solution, after the test bench is set up, the environmental parameters of the battery to be tested will also be detected. When the preset infiltration condition is satisfied, the moment of inertia testing device is started, so that the test is carried out under suitable infiltration conditions, improving the detection reliability.

[0129] Please refer to Figure 10 , in some embodiments, the method further includes step 1002.

[0130] Step 1002: Determine the consumption of the electrolyte in the battery under test according to the moment of inertia parameter of the battery under test.

[0131] Specifically, in this embodiment, the battery under test refers to a battery with a test requirement for the consumption of the electrolyte. The consumption of the electrolyte refers to the phenomenon that the electrolyte gradually decreases due to internal chemical reactions or physical volatilization in the battery. Considering that the magnitude of the moment of inertia parameter is related to the mass of the battery under test, the higher the mass of the battery under test, the larger the corresponding moment of inertia parameter. It can be considered to verify the mass change of the battery under test, that is, the consumption of the electrolyte, according to the change of the moment of inertia parameter. The method for obtaining the moment of inertia parameter is similar to that in the above embodiment and will not be elaborated here.

[0132] The detection of the electrolyte consumption in this embodiment can be applied in the process of detecting the wetting of the battery under test. For example, after the electrolyte in the battery under test is evenly distributed, the moment of inertia parameter is collected continuously to analyze the consumption of the electrolyte in the natural storage state.

[0133] In another embodiment, the detection of the electrolyte consumption can also be applied in the formation test or the use process of the subsequent battery, and no specific limitation is made, and it can be selected according to the actual requirements.

[0134] The above solution can also deduce the consumption of the electrolyte in the battery under test through the moment of inertia parameter to realize non-destructive detection of the electrolyte consumption.

[0135] Please refer to Figure 11 , in some embodiments, step 1002 includes step 112 and step 114.

[0136] Step 112: Determine the mass parameter of the battery under test according to the moment of inertia parameter of the battery under test.

[0137] Step 114: Determine the consumption of the electrolyte in the battery under test according to the change amount of the mass parameter.

[0138] Specifically, the mass parameter is the mass of the battery under test; the change amount of the mass parameter is the mass of the battery under test detected this time, relative to the mass of the battery under test detected previously. Specifically, it can be the mass change relative to the mass at the previous detection, or the mass change relative to the initial state, and no specific limitation is made.

[0139] In an actual scenario, the mass and moment of inertia of the battery under test satisfy a certain relationship. According to this relationship and by analyzing in combination with the moment of inertia parameter of the battery under test, the mass parameter of the battery under test can be obtained. Since during the operation of the battery under test, the attenuation of the mass is caused by the consumption of the electrolyte, after that, only by relying on the change amount of the mass parameter of the battery under test can the attenuation amount of the electrolyte, that is, the consumption situation of the electrolyte, be obtained.

[0140] It can be understood that the consumption situation of the electrolyte can be the consumption amount of the electrolyte at the current moment or the change trend of the electrolyte as the usage time increases, etc. There is no specific limitation, and it can be selected according to the actual requirements.

[0141] It should be noted that the method of inversely deducing the mass parameter of the battery under test based on the moment of inertia parameter is not unique and will vary according to the type of the battery under test. For example, in one embodiment, taking a cylindrical battery as an example, the calculation formula for its moment of inertia can be expressed as: I = 1 / 12ML 2 , where M is the mass of the cylindrical battery and L is the length of the cylindrical battery. Thus, after obtaining the moment of inertia parameter, substituting it into the above expression can inversely deduce the mass of the cylindrical battery.

[0142] In the above solution, by inversely deducing the mass parameter of the battery under test in combination with the moment of inertia parameter and using the change of the mass parameter to characterize the consumption of the electrolyte, the detection accuracy of the electrolyte consumption is relatively high.

[0143] In some embodiments, the method further includes: determining the mass parameter of the battery under test according to the moment of inertia parameter of the battery under test in the fully discharged state.

[0144] Specifically, the fully discharged state refers to the state where the battery under test is discharged to the cut-off voltage and the remaining battery power is 0. During the discharging process, the concentration gradient of lithium ions in the electrolyte gradually decreases. When fully discharged, the ion distribution in the electrolyte tends to be balanced, reducing the mass non-uniformity caused by local concentration differences. Therefore, the internal mass distribution of the battery under test is more uniform in the fully discharged state. Correspondingly, by analyzing the mass parameter in combination with the moment of inertia parameter in the fully discharged state, a more accurate mass parameter can be obtained.

[0145] In the above solution, considering that the internal mass distribution of the battery under test is more uniform in the fully discharged state and calculating the mass parameter based on the moment of inertia parameter of the battery under test in the fully discharged state improves the calculation accuracy of the mass parameter.

[0146] Furthermore, in one embodiment, according to actual requirements, a similar method as above can also be used to analyze the electrolyte consumption situation of the battery under test under different charge-discharge cycle numbers, and specific selection can be made according to actual requirements.

[0147] To facilitate the understanding of the technical solution of this application, the following will explain this application in conjunction with detailed embodiments.

[0148] The rotational inertia parameter of the battery under test is measured by the torsion pendulum method. The specific principle is as follows: After the battery under test is twisted around an axis and vibrates freely, its period is related to the rotational inertia parameter. The vibration period of the battery under test is calculated by a photoelectric sensor, so as to obtain the rotational inertia parameter of the battery under test. The specific process is as follows:

[0149] (1) Use an air-suspended rotational inertia testing device to calibrate the rotational inertia testing device, and confirm that the test deviation ≤ 0.1%;

[0150] (2) Set up a test bench, place the battery under test on the rotational inertia testing device, and then place the entire device in an immersion incubator. After the incubator reaches the immersion condition, turn on the rotational inertia testing device;

[0151] (3) At regular intervals (0.5 h, 1 h, 1.5 h, 2 h, 2.5 h, 3 h, 4 h, 6 h, 8 h, 12 h, 16 h, and 24 h), collect the rotational inertia parameter of the battery under test once. After collecting the rotational inertia parameters at each time point, fit the relationship curve between the rotational inertia parameter and the immersion time;

[0152] (4) Judge the distribution of the electrolyte inside the battery under test through the fitted relationship curve. The relationship curve shows that as the immersion time extends, the rotational inertia of the battery under test gradually decreases and tends to be stable. During this process, the electrolyte tends to be evenly distributed. The time when the rotational inertia parameter is stable is the immersion completion time of the battery under test. At the same time, according to the stable time of the rotational inertia parameter, disassemble the battery under test at this node, as well as the batteries under test at the previous and subsequent nodes of this node, observe the disassembly interface, and judge whether the battery under test is immersed and completed at this time from whether there are interface abnormalities such as black spots on the disassembly interface, so as to verify whether the above distribution detection results are accurate.

[0153] It should be understood that although the steps in the flowcharts involved in the above-described embodiments are shown in sequence according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless there is a clear indication in this article, there is no strict order limit for the execution of these steps, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-described embodiments may include multiple steps or multiple stages. These steps or stages are not necessarily executed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be executed alternately or in turn with at least a part of other steps or steps or stages in other steps. It can be understood that the steps in different embodiments can be freely combined as needed, and all non-contradictory solutions formed by the combination fall within the scope of protection of this application.

[0154] Based on the same inventive concept, an embodiment of the present application further provides an electrolyte infiltration detection device for implementing the electrolyte infiltration detection method described above. The solution provided by this device to solve the problem is similar to the solution described in the above method. Therefore, the specific limitations in one or more embodiments of the electrolyte infiltration detection device provided below can refer to the limitations on the electrolyte infiltration detection method in the above text, and will not be repeated here.

[0155] Please refer to Figure 12 , the present application also provides an electrolyte infiltration detection device, including an inertia acquisition module 122 and an infiltration detection module 124.

[0156] The inertia acquisition module 122 is used to acquire the moment of inertia parameters of the battery under test at different infiltration times; the infiltration detection module 124 is used to determine the distribution state of the electrolyte in the battery under test according to the moment of inertia parameters.

[0157] In some embodiments, the infiltration detection module 124 is further used to determine the change amount of the moment of inertia at different infiltration times according to the moment of inertia parameters; and determine the distribution state of the electrolyte in the battery under test according to the change amount of the moment of inertia.

[0158] In some embodiments, the infiltration detection module 124 is further used to determine that the electrolyte in the battery under test is evenly distributed when the change amount of the moment of inertia is less than or equal to a preset stability threshold; and determine that the electrolyte in the battery under test is unevenly distributed when the change amount of the moment of inertia is greater than the preset stability threshold.

[0159] In some embodiments, the infiltration detection module 124 is further configured to determine that the electrolyte of the battery under test is evenly distributed when the change in moment of inertia continuously appears less than or equal to a preset stability threshold for a preset number of times; and determine that the electrolyte of the battery under test is unevenly distributed when the change in moment of inertia does not continuously appear less than or equal to the preset stability threshold for the preset number of times.

[0160] In some embodiments, the infiltration detection module 124 is further configured to determine a relationship curve between the moment of inertia parameter and the infiltration time according to the moment of inertia parameter; and determine the distribution state of the electrolyte in the battery under test according to the relationship curve.

[0161] Please refer to Figure 13 , in some embodiments, the device further includes a result verification module 132.

[0162] The result verification module 132 is configured to obtain the disassembly interface image information of the battery under test at the infiltration time when the electrolyte is evenly distributed; and verify the detection result of the distribution state according to the disassembly interface image information.

[0163] Please refer to Figure 14 , in some embodiments, the device further includes a test preparation module 142.

[0164] The test preparation module 142 is configured to place the battery under test on the moment of inertia test equipment to build a test bench when the calibration of the moment of inertia test equipment is completed; and control the moment of inertia test equipment to start running when the test bench is built.

[0165] In some embodiments, the test preparation module 142 is further configured to obtain the environmental parameters of the battery under test when the test bench is built; and control the moment of inertia test equipment to start running when it is determined that the preset infiltration conditions are met according to the environmental parameters.

[0166] Please refer to Figure 15 , in some embodiments, the device further includes an electrolyte consumption detection module 152.

[0167] The electrolyte consumption detection module 152 is configured to determine the consumption of the electrolyte in the battery under test according to the moment of inertia parameter of the battery under test.

[0168] In some embodiments, the electrolyte consumption detection module 152 is further configured to determine the mass parameter of the battery under test according to the moment of inertia parameter of the battery under test; and determine the consumption of the electrolyte in the battery under test according to the change amount of the mass parameter.

[0169] In some embodiments, the electrolyte consumption detection module 152 is further configured to determine the mass parameter of the battery under test according to the moment of inertia parameter of the battery under test in the fully discharged state.

[0170] Each module in the above electrolyte infiltration detection device can be implemented in whole or in part by software, hardware, or a combination thereof. Each of the above modules can be embedded in the processor of the computer device in hardware form or independent of it, or stored in the memory of the computer device in software form, so that the processor can call and execute the operations corresponding to each of the above modules.

[0171] Based on the phenomenon that as the infiltration time of the battery under test extends, the electrolyte inside the battery under test tends to be uniform, the above electrolyte infiltration detection device reflects the change in the distribution of the electrolyte inside the battery under test through the change in the moment of inertia, and combines the moment of inertia parameters of the battery under test at different infiltration times to determine the distribution state of the electrolyte, so as to achieve electrolyte infiltration detection. This solution can achieve the detection of the electrolyte distribution state without disassembling the battery under test, and will not occur the situation that the electrolyte distribution state has changed during actual testing due to reasons such as disassembly, and has high accuracy in electrolyte infiltration detection.

[0172] Please refer to Figure 16 , this application also provides an electrolyte infiltration detection system, including: an infiltration incubator 10, a moment of inertia testing device 20, and a controller (not shown in the figure). The moment of inertia testing device 20 is used to collect the moment of inertia parameters of the battery under test (i.e., the battery 30 shown in the figure) at different infiltration times; the moment of inertia testing device 20 is arranged inside the infiltration incubator 10, and the controller is connected to the infiltration incubator 10 and the moment of inertia testing device 20. The controller is used to execute the steps of the above electrolyte infiltration detection method.

[0173] Specifically, the infiltration incubator 10 is used to provide the environment required for electrolyte infiltration of the battery under test. The implementation manner of the electrolyte infiltration detection method is as shown in the above various embodiments and the drawings, and will not be elaborated here. This electrolyte infiltration detection system reflects the change in the distribution of the electrolyte inside the battery under test through the change in the moment of inertia based on the phenomenon that as the infiltration time of the battery under test extends, the electrolyte inside the battery under test tends to be uniform, and combines the moment of inertia parameters of the battery under test at different infiltration times to determine the distribution state of the electrolyte, so as to achieve electrolyte infiltration detection. This solution can achieve the detection of the electrolyte distribution state without disassembling the battery under test, and will not occur the situation that the electrolyte distribution state has changed during actual testing due to reasons such as disassembly, and has high accuracy in electrolyte infiltration detection.

[0174] In an exemplary embodiment, a computer device is provided. The computer device can be a terminal, and its internal structure diagram can be as Figure 17As shown in the figure. The computer device includes a processor, a memory, an input / output interface, a communication interface, a display unit, and an input device. Among them, the processor, the memory, and the input / output interface are connected through a system bus, and the communication interface, the display unit, and the input device are connected to the system bus through the input / output interface. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and external devices. The communication interface of the computer device is used to communicate with external terminals in a wired or wireless manner, and the wireless manner can be implemented through WIFI, a mobile cellular network, near field communication (NFC), or other technologies. When the computer program is executed by the processor, it implements an electrolyte infiltration detection method.

[0175] Those skilled in the art can understand that Figure 17 the structure shown in the figure is only a block diagram of some structures related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine some components, or have different component arrangements.

[0176] The present application also provides a computer device, including a memory and a processor. The memory stores a computer program. When the processor executes the computer program, the following steps are implemented: obtaining the moment of inertia parameters of the battery under test at different infiltration moments; determining the distribution state of the electrolyte in the battery under test according to the moment of inertia parameters.

[0177] In one embodiment, when the processor executes the computer program, the following steps are also implemented: determining the change amount of the moment of inertia at different infiltration moments according to the moment of inertia parameters; determining the distribution state of the electrolyte in the battery under test according to the change amount of the moment of inertia.

[0178] In one embodiment, when the processor executes the computer program, the following steps are also implemented: determining that the electrolyte in the battery under test is evenly distributed when the change amount of the moment of inertia is less than or equal to a preset stability threshold; determining that the electrolyte in the battery under test is unevenly distributed when the change amount of the moment of inertia is greater than the preset stability threshold.

[0179] In one embodiment, when the processor executes the computer program, the following steps are further implemented: when the change amount of the moment of inertia continuously appears less than or equal to a preset stability threshold for a preset number of times, it is determined that the electrolyte of the battery under test is evenly distributed; when the change amount of the moment of inertia does not continuously appear less than or equal to the preset stability threshold for the preset number of times, it is determined that the electrolyte of the battery under test is unevenly distributed.

[0180] In one embodiment, when the processor executes the computer program, the following steps are further implemented: according to the moment of inertia parameter, determine the relationship curve between the moment of inertia parameter and the infiltration moment; according to the relationship curve, determine the distribution state of the electrolyte in the battery under test.

[0181] In one embodiment, when the processor executes the computer program, the following steps are further implemented: obtain the disassembly interface image information of the battery under test at the infiltration moment when the electrolyte is evenly distributed; according to the disassembly interface image information, verify the detection result of the distribution state.

[0182] In one embodiment, when the processor executes the computer program, the following steps are further implemented: when the calibration of the moment of inertia testing device 20 is completed, place the battery under test on the moment of inertia testing device 20 to build a test bench; when the test bench is built, control the moment of inertia testing device 20 to start running.

[0183] In one embodiment, when the processor executes the computer program, the following steps are further implemented: when the test bench is built, obtain the environmental parameters of the battery under test; when it is determined that the preset infiltration conditions are met according to the environmental parameters, control the moment of inertia testing device 20 to start running.

[0184] In one embodiment, when the processor executes the computer program, the following steps are further implemented: according to the moment of inertia parameter of the battery under test, determine the consumption condition of the electrolyte in the battery under test.

[0185] In one embodiment, when the processor executes the computer program, the following steps are further implemented: according to the moment of inertia parameter of the battery under test, determine the mass parameter of the battery under test; according to the change amount of the mass parameter, determine the consumption condition of the electrolyte in the battery under test.

[0186] In one embodiment, when the processor executes the computer program, the following steps are further implemented: according to the moment of inertia parameter of the battery under test in the fully discharged state, determine the mass parameter of the battery under test.

[0187] In some embodiments, the present application provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the following steps are implemented: obtain the moment of inertia parameters of the battery under test at different infiltration moments; according to the moment of inertia parameters, determine the distribution state of the electrolyte in the battery under test.

[0188] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented: determining the change amount of the moment of inertia at different wetting moments according to the moment of inertia parameter; and determining the distribution state of the electrolyte in the battery under test according to the change amount of the moment of inertia.

[0189] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented: determining that the electrolyte in the battery under test is evenly distributed when the change amount of the moment of inertia is less than or equal to a preset stability threshold; and determining that the electrolyte in the battery under test is unevenly distributed when the change amount of the moment of inertia is greater than the preset stability threshold.

[0190] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented: determining that the electrolyte in the battery under test is evenly distributed when the change amount of the moment of inertia less than or equal to the preset stability threshold continuously appears for a preset number of times; and determining that the electrolyte in the battery under test is unevenly distributed when the change amount of the moment of inertia less than or equal to the preset stability threshold does not continuously appear for the preset number of times.

[0191] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented: determining the relationship curve between the moment of inertia parameter and the wetting moment according to the moment of inertia parameter; and determining the distribution state of the electrolyte in the battery under test according to the relationship curve.

[0192] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented: obtaining the disassembly interface image information of the battery under test at the wetting moment when the electrolyte is evenly distributed; and verifying the detection result of the distribution state according to the disassembly interface image information.

[0193] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented: placing the battery under test on the moment of inertia testing device 20 to build a test bench when the calibration of the moment of inertia testing device 20 is completed; and controlling the moment of inertia testing device 20 to start running when the test bench is built.

[0194] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented: obtaining the environmental parameters of the battery under test when the test bench is built; and controlling the moment of inertia testing device 20 to start running when it is determined that the preset wetting conditions are met according to the environmental parameters.

[0195] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented: determining the consumption condition of the electrolyte in the battery under test according to the moment of inertia parameter of the battery under test.

[0196] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented: determining the mass parameter of the battery under test according to the moment of inertia parameter of the battery under test; determining the consumption condition of the electrolyte in the battery under test according to the change amount of the mass parameter.

[0197] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented: determining the mass parameter of the battery under test according to the moment of inertia parameter of the battery under test in a fully discharged state.

[0198] In some embodiments, the present application provides a computer program product, including a computer program, which when executed by a processor, implements the following steps: obtaining the moment of inertia parameters of the battery under test at different wetting times; determining the distribution state of the electrolyte in the battery under test according to the moment of inertia parameters.

[0199] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented: determining the change amount of the moment of inertia at different wetting times according to the moment of inertia parameters; determining the distribution state of the electrolyte in the battery under test according to the change amount of the moment of inertia.

[0200] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented: determining that the electrolyte in the battery under test is uniformly distributed when the change amount of the moment of inertia is less than or equal to a preset stability threshold; determining that the electrolyte in the battery under test is non-uniformly distributed when the change amount of the moment of inertia is greater than the preset stability threshold.

[0201] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented: determining that the electrolyte in the battery under test is uniformly distributed when the change amount of the moment of inertia less than or equal to the preset stability threshold appears continuously for a preset number of times; determining that the electrolyte in the battery under test is non-uniformly distributed when the change amount of the moment of inertia less than or equal to the preset stability threshold does not appear continuously for the preset number of times.

[0202] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented: determining the relationship curve between the moment of inertia parameter and the wetting time according to the moment of inertia parameter; determining the distribution state of the electrolyte in the battery under test according to the relationship curve.

[0203] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented: obtaining the disassembly interface image information of the battery under test at the wetting time when the electrolyte is uniformly distributed; verifying the detection result of the distribution state according to the disassembly interface image information.

[0204] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented: when the calibration of the moment of inertia test device 20 is completed, place the battery to be tested on the moment of inertia test device 20 to set up the test bench; when the test bench setup is completed, control the moment of inertia test device 20 to start running.

[0205] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented: when the test bench setup is completed, obtain the environmental parameters of the battery to be tested; when it is determined that the preset infiltration condition is met according to the environmental parameters, control the moment of inertia test device 20 to start running.

[0206] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented: determine the consumption of the electrolyte in the battery to be tested according to the moment of inertia parameter of the battery to be tested.

[0207] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented: determine the mass parameter of the battery to be tested according to the moment of inertia parameter of the battery to be tested; determine the consumption of the electrolyte in the battery to be tested according to the change amount of the mass parameter.

[0208] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented: determine the mass parameter of the battery to be tested according to the moment of inertia parameter of the battery to be tested in the fully discharged state.

[0209] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above methods. Among them, any reference to a memory, database, or other medium used in the embodiments provided in this application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc. The databases involved in the embodiments provided in this application can include at least one of relational databases and non-relational databases. Non-relational databases can include distributed databases based on blockchain, etc., without limitation. The processors involved in the embodiments provided in this application can be general-purpose processors, central processors, graphics processors, digital signal processors, programmable logic devices, data processing logics based on computing, artificial intelligence (AI) processors, etc., without limitation.

[0210] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements on some or all of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the various embodiments of the present application, and they should all be covered within the scope of the claims and the description of the present application. In particular, as long as there is no structural conflict, the technical features mentioned in each embodiment can be combined in any way. The present application is not limited to the specific embodiments disclosed in the text, but includes all technical solutions that fall within the scope of the claims.

Claims

1. An electrolyte infiltration detection method, characterized in that, Including: Obtaining the moment of inertia parameters of the battery under test at different infiltration times; Determining the distribution state of the electrolyte in the battery under test according to the moment of inertia parameters.

2. The electrolyte infiltration detection method according to claim 1, wherein The determining the distribution state of the electrolyte in the battery under test according to the moment of inertia parameters includes: Determining the change in the moment of inertia at different infiltration times according to the moment of inertia parameters; Determining the distribution state of the electrolyte in the battery under test according to the change in the moment of inertia.

3. The electrolyte infiltration detection method according to claim 2, characterized in that, The distribution state includes uniform distribution and non-uniform distribution; the determining the distribution state of the electrolyte in the battery under test according to the change in the moment of inertia includes: When the change in the moment of inertia is less than or equal to a preset stability threshold, determining that the electrolyte in the battery under test is uniformly distributed; When the change in the moment of inertia is greater than the preset stability threshold, determining that the electrolyte in the battery under test is non-uniformly distributed.

4. The electrolyte infiltration detection method according to claim 2, characterized in that, The distribution state includes uniform distribution and non-uniform distribution; the determining the distribution state of the electrolyte in the battery under test according to the change in the moment of inertia includes: When the change in the moment of inertia is less than or equal to the preset stability threshold for a preset number of consecutive times, determining that the electrolyte in the battery under test is uniformly distributed; When the change in the moment of inertia is not less than or equal to the preset stability threshold for the preset number of consecutive times, determining that the electrolyte in the battery under test is non-uniformly distributed.

5. The electrolyte infiltration detection method according to claim 1, wherein The determining the distribution state of the electrolyte in the battery under test according to the moment of inertia parameters includes: Determining the relationship curve between the moment of inertia parameters and the infiltration time according to the moment of inertia parameters; Determining the distribution state of the electrolyte in the battery under test according to the relationship curve.

6. The electrolyte infiltration detection method according to any one of claims 1-5, characterized in that, The method further includes: Obtaining the disassembly interface image information of the battery under test at the infiltration time when the electrolyte is uniformly distributed; Verifying the detection result of the distribution state according to the disassembly interface image information.

7. The electrolyte infiltration detection method according to any one of claims 1-5, characterized in that, Before obtaining the moment of inertia parameters of the battery under test at different infiltration times, the method further includes: When the calibration of the moment of inertia testing device is completed, placing the battery under test on the moment of inertia testing device to build a test bench; When the test bench is built, controlling the moment of inertia testing device to start running.

8. The electrolyte infiltration detection method according to claim 7, wherein, The controlling the moment of inertia testing device to start running when the test bench is built includes: When the test bench is built, obtaining the environmental parameters of the battery under test; When it is determined that the preset infiltration conditions are met according to the environmental parameters, controlling the moment of inertia testing device to start running.

9. The electrolyte infiltration detection method according to any one of claims 1-5, characterized in that The method further includes: Determining the consumption situation of the electrolyte in the battery under test according to the moment of inertia parameters of the battery under test.

10. The electrolyte infiltration detection method according to claim 9, wherein, The determining the consumption situation of the electrolyte in the battery under test according to the moment of inertia parameters of the battery under test includes: Determining the mass parameters of the battery under test according to the moment of inertia parameters of the battery under test; Determining the consumption situation of the electrolyte in the battery under test according to the change in the mass parameters.

11. The electrolyte infiltration detection method according to claim 10, wherein, The method further includes: Determine the mass parameter of the battery under test according to the moment of inertia parameter of the battery under test in the fully discharged state.

12. An electrolyte infiltration detection device, characterized in that, Comprising: An inertia acquisition module, configured to acquire the moment of inertia parameter of the battery under test at different infiltration moments; An infiltration detection module, configured to determine the distribution state of the electrolyte in the battery under test according to the moment of inertia parameter.

13. An electrolyte infiltration detection system, characterized in that, Comprising: A moment of inertia testing device, configured to collect the moment of inertia parameter of the battery under test at different infiltration moments; An infiltration incubator, wherein the moment of inertia testing device is arranged inside the infiltration incubator; A controller, connected to the infiltration incubator and the moment of inertia testing device, and the controller is configured to execute the steps of the electrolyte infiltration detection method according to any one of claims 1-11.

14. A computer device, comprising a memory and a processor, the memory storing a computer program, characterized in that, When the processor executes the computer program, the steps of the electrolyte infiltration detection method according to any one of claims 1-11 are implemented.

15. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, the steps of the electrolyte infiltration detection method according to any one of claims 1-11 are implemented.

16. A computer program product comprising a computer program, characterized in that, When the computer program is executed by the processor, the steps of the electrolyte infiltration detection method according to any one of claims 1-11 are implemented.

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