Electrolyte impregnation detection method, device, system, apparatus, medium, and product

Abstract

This application relates to a method, apparatus, system, equipment, medium, and product for detecting electrolyte wetting. Based on the phenomenon that the electrolyte inside the battery tends to become more uniform as the immersion time increases, the change in rotational inertia reflects the distribution change of the electrolyte inside the battery. By combining the rotational inertia parameters of the battery at different immersion times, the distribution state of the electrolyte is determined, thus achieving electrolyte wetting detection. This solution can detect the electrolyte distribution state without disassembling the battery, avoiding situations where the electrolyte distribution state has changed during actual testing due to disassembly or other reasons, and has high accuracy in electrolyte wetting detection.

Description

Technical Field

[0001] This application relates to the field of battery technology, and in particular to an electrolyte wetting detection method, apparatus, system, computer equipment, storage medium, and computer program product. Background Technology

[0002] With the development of new energy technologies, secondary batteries, represented by lithium batteries, have been widely used in energy storage systems, electric vehicles, and aerospace, bringing great convenience to people's daily production and life. The wetting effect of the electrolyte is closely related to the battery performance and lifespan. Uniform wetting helps the electrolyte and electrode materials to have full contact, improves the efficiency of lithium ion migration, and improves the battery's charge and discharge performance.

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

[0004] Therefore, it is necessary to provide an electrolyte wetting detection method, apparatus, system, computer equipment, storage medium, and computer program product to improve the accuracy of electrolyte wetting detection.

[0005] This application provides a method for detecting electrolyte immersion, comprising: acquiring the moment of inertia parameters of the battery under test at different immersion times; and determining the distribution state of the electrolyte in the battery under test based on the moment of inertia parameters.

[0006] The aforementioned electrolyte wetting detection method is based on the phenomenon that the electrolyte inside the battery tends to become more uniform as the immersion time increases. It uses the change in rotational inertia to reflect the change in electrolyte distribution within the battery. By combining the rotational inertia parameters of the battery at different immersion times, the distribution state of the electrolyte is determined, thus achieving electrolyte wetting detection. This method does not require disassembling the battery to detect the electrolyte distribution state, avoiding situations where the electrolyte distribution state has changed during actual testing due to disassembly or other reasons, and thus has high accuracy in electrolyte wetting detection.

[0007] In some embodiments, determining the distribution state of the electrolyte in the battery under test based on the moment of inertia parameter includes: determining the change in moment of inertia at different immersion times based on the moment of inertia parameter; and determining the distribution state of the electrolyte in the battery under test based on the change in moment of inertia.

[0008] The above scheme combines the change in moment of inertia at different immersion times to detect the distribution state of the electrolyte in the battery under test. The change in moment of inertia is used to characterize the change of electrolyte with immersion time, which 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 based on the change in moment of inertia includes: determining that the electrolyte of the battery under test is uniformly distributed when the change in moment of inertia is less than or equal to a preset stability threshold; and determining that the electrolyte of the battery under test is non-uniformly distributed when the change in moment of inertia is greater than the preset stability threshold.

[0010] The above scheme determines whether the electrolyte of the battery under test is uniformly distributed by judging whether the change in moment of inertia is less than or equal to a preset stability threshold, and has 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 based on the change in moment of inertia includes: determining that the electrolyte of the battery under test is uniformly distributed when the change in moment of inertia is less than or equal to a preset stability threshold for a preset number of consecutive occurrences; and determining that the electrolyte of the battery under test is non-uniformly distributed when the change in moment of inertia is less than or equal to the preset stability threshold for no consecutive occurrences of the preset number of occurrences.

[0012] The above scheme determines whether the electrolyte of the battery under test is uniformly distributed by judging whether the state of change of rotational inertia being less than or equal to a preset stable threshold occurs continuously a preset number of times, and has high distribution identification accuracy.

[0013] In some embodiments, determining the distribution state of the electrolyte in the battery under test based on the moment of inertia parameter includes: determining the relationship curve between the moment of inertia parameter and the immersion time based on the moment of inertia parameter; and determining the distribution state of the electrolyte in the battery under test based on the relationship curve.

[0014] The above scheme uses the relationship curve between the moment of inertia parameter and the immersion time to intuitively characterize the changes in electrolyte distribution in the battery under test, and uses the relationship curve to determine the distribution state of electrolyte in the battery under test, which has high detection convenience.

[0015] In some embodiments, the method further includes: acquiring disassembly interface image information of the battery under test at a time when the electrolyte is uniformly distributed; and verifying the detection results of the distribution state based on the disassembly interface image information.

[0016] The above scheme can also verify the accuracy of the distribution state detection of the moment of inertia parameter by detecting the disassembly interface image information obtained after disassembling the battery under test, thereby improving the reliability of the detection results.

[0017] In some embodiments, before obtaining the rotational inertia parameters of the battery under test at different immersion times, the method further includes: placing the battery under test on the rotational inertia testing equipment to build a test bench after the rotational inertia testing equipment has been calibrated; and controlling the rotational inertia testing equipment to start operation after the test bench has been built.

[0018] The above scheme, after the moment of inertia testing equipment has been calibrated and the test bench has been set up, allows for the testing of the moment of inertia, effectively reducing measurement errors and improving the accuracy of the moment of inertia parameters.

[0019] In some embodiments, controlling the rotational inertia testing equipment to start operation after the test bench is erected includes: acquiring environmental parameters of the battery under test after the test bench is erected; and controlling the rotational inertia testing equipment to start operation after determining that the preset immersion conditions are met based on the environmental parameters.

[0020] The above scheme, after the test bench is set up, will also detect the environmental parameters of the battery under test. The rotational inertia test equipment will be turned on only when the preset immersion conditions are met, so that the test is carried out under suitable immersion conditions and the reliability of the test is improved.

[0021] In some embodiments, the method further includes: determining the electrolyte consumption in the battery under test based on the moment of inertia parameter of the battery under test.

[0022] The above scheme can also infer the electrolyte consumption in the battery under test by using the rotational inertia parameter, thus achieving non-destructive testing of electrolyte consumption.

[0023] In some embodiments, determining the electrolyte consumption in the battery under test based on the moment of inertia parameter includes: determining the mass parameter of the battery under test based on the moment of inertia parameter; and determining the electrolyte consumption in the battery under test based on the change in the mass parameter.

[0024] The above scheme combines the moment of inertia parameter to infer the mass parameter of the battery under test, and uses the change in mass parameter to characterize the electrolyte consumption, which has high accuracy in detecting electrolyte consumption.

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

[0026] The above scheme takes into account that the internal mass distribution of the battery under test is more uniform when fully discharged. It uses the moment of inertia parameter of the battery under test when fully discharged to calculate the mass parameter, thereby improving the accuracy of the mass parameter calculation.

[0027] This application also provides an electrolyte wetting detection device, comprising: an inertia acquisition module for acquiring rotational inertia parameters of the battery under test at different wetting times; and a wetting detection module for determining the distribution state of the electrolyte in the battery under test based on the rotational inertia parameters.

[0028] This application also provides an electrolyte wetting detection system, comprising: an immersion chamber, 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 the battery under test at different immersion times. The moment of inertia testing device is disposed inside the immersion chamber. The controller is connected to the immersion chamber and the moment of inertia testing device, and the controller is used to execute the steps of the above-described electrolyte wetting detection method.

[0029] This application also provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps of the above-described electrolyte wetting detection method.

[0030] This application also provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of the above-described electrolyte wetting detection method.

[0031] This application also provides a computer program product, including a computer program that, when executed by a processor, implements the steps of the above-described electrolyte wetting detection method. Attached Figure Description

[0032] Various other advantages and benefits will become apparent to those skilled in the art upon reading the detailed description of the preferred embodiments below. The accompanying drawings are for illustrative purposes only and are not intended to limit the scope of this application. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings:

[0033] Figure 1 This is a schematic diagram of the electrolyte wetting detection method in some embodiments of this application;

[0034] Figure 2 This is a schematic flowchart of the electrolyte wetting detection method in some other embodiments of this application;

[0035] Figure 3 This is a schematic flowchart of the electrolyte wetting detection method in some embodiments of this application;

[0036] Figure 4 This is a schematic flowchart of the electrolyte wetting detection method in some embodiments of this application;

[0037] Figure 5This is a schematic flowchart of the electrolyte wetting detection method in some other embodiments of this application;

[0038] Figure 6 This is a schematic diagram of relationship curves in some embodiments of this application;

[0039] Figure 7 This is a schematic flowchart of the electrolyte wetting detection method in some embodiments of this application;

[0040] Figure 8 This is a schematic flowchart of the electrolyte wetting detection method in some embodiments of this application;

[0041] Figure 9 This is a schematic flowchart of the electrolyte wetting detection method in some other embodiments of this application;

[0042] Figure 10 This is a schematic flowchart of the electrolyte wetting detection method in some embodiments of this application;

[0043] Figure 11 This is a schematic diagram of the electrolyte consumption detection process in some other embodiments of this application;

[0044] Figure 12 This is a schematic diagram of the electrolyte wetting detection device in some embodiments of this application;

[0045] Figure 13 This is a schematic diagram of the electrolyte wetting detection device in some other embodiments of this application;

[0046] Figure 14 This is a schematic diagram of the electrolyte wetting detection device in some other embodiments of this application;

[0047] Figure 15 This is a schematic diagram of the electrolyte wetting detection device in some embodiments of this application;

[0048] Figure 16 This is a schematic diagram of the electrolyte wetting detection system in some embodiments of this application;

[0049] Figure 17 This is a schematic diagram of the internal structure of a computer device in some embodiments of this application. Detailed Implementation

[0050] The embodiments of the technical solution of this application will now be described in detail with reference to the accompanying drawings. These embodiments are only used to more clearly illustrate the technical solution of this application and are therefore merely examples, and should not be used to limit the scope of protection of this 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 art to which this application pertains; the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the application; the terms “comprising” and “having”, and any variations thereof, in the specification, claims, and foregoing description of the drawings 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 used only to distinguish different objects and should not be construed as indicating or implying relative importance or implicitly specifying the number, specific order, or primary and secondary relationship of the indicated technical features. In the description of the embodiments of this application, "multiple" means two or more, unless otherwise explicitly defined.

[0053] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of this application. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0054] In the description of the embodiments in this application, the term "and / or" is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, and B existing alone. Additionally, the character " / " in this document generally indicates that the preceding and following related objects have an "or" relationship.

[0055] In the description of the embodiments of this application, the term "multiple" refers to two or more (including two), similarly, "multiple sets" refers to two or more (including two sets), and "multiple pieces" refers to two or more (including two pieces).

[0056] In the description of the embodiments of this application, unless otherwise expressly specified and limited, technical terms such as "installation," "connection," "joining," and "fixing" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral part; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal communication of two components or the interaction between two components. For those skilled in the art, the specific meaning of the above terms in the embodiments of this application can be understood according to the specific circumstances.

[0057] Currently, judging from market trends, battery applications are becoming increasingly widespread. They are not only used in energy storage systems for hydropower, thermal power, wind power, and solar power plants, but also extensively in electric vehicles such as electric bicycles, electric motorcycles, and electric cars, as well as in aerospace and other fields. As the application areas of batteries continue to expand, the market demand is also constantly increasing.

[0058] Uniform electrolyte wetting in a battery can effectively improve its lifespan and performance. Therefore, electrolyte wetting detection is of great importance during battery manufacturing. Currently, most electrolyte wetting detection methods focus on disassembling batteries after different wetting times and then judging whether there are any abnormalities at the interface (such as black spots), thereby determining whether the battery's wetting meets the requirements.

[0059] However, the above detection method requires disassembling the battery. After disassembly, when the test is actually conducted, the electrolyte distribution inside the battery has changed due to the time interval. This makes it impossible to accurately represent the distribution at the required immersion time, resulting in poor immersion detection accuracy.

[0060] In-depth research revealed that during the immersion process, the electrolyte distribution inside a battery gradually becomes more uniform as the immersion time increases. Similarly, the uniformity of mass within an object can be reflected in the difference in its moment of inertia. For the same object, the more uniform its internal mass distribution, the smaller the change in its moment of inertia. When the distribution is completely uniform, the internal mass will no longer change. Therefore, the moment of inertia of a battery can be used to characterize the uniformity of electrolyte distribution inside the battery, thus enabling the detection of electrolyte immersion.

[0061] Based on the above considerations, the electrolyte inside the battery tends to become more uniform as the immersion time of the battery under test increases. The change in rotational inertia can be used to reflect the distribution change of the electrolyte inside the battery under test. By combining the rotational inertia parameters of the battery under test at different immersion times, the distribution state of the electrolyte can be determined, so as to realize the electrolyte immersion detection.

[0062] The above method can detect the distribution of electrolyte without disassembling the battery under test, and will not cause the electrolyte distribution to change during the actual test due to disassembly or other reasons, thus having high accuracy in electrolyte wetting detection.

[0063] The electrolyte wetting detection method provided in this application is used to detect electrolyte wetting in lithium-ion batteries. The shape of the lithium-ion battery is not unique; it can be cylindrical, prismatic, etc., and is not limited thereto, depending on actual needs. Electrolyte wetting detection can be applied at any stage of battery manufacturing that requires wetting detection, such as the battery assembly stage or the battery formation testing stage, and is not limited thereto.

[0064] Please see Figure 1 This application provides an electrolyte wetting detection method, including steps 102 and 104.

[0065] Step 102: Obtain the rotational inertia parameters of the battery under test at different immersion times.

[0066] Specifically, in this embodiment, the battery under test refers to a battery that needs to undergo electrolyte immersion testing. Its type is not unique; for ease of understanding, the following embodiments can all consider the battery under test to be a cylindrical cell. Immersion time refers to any immersion point in the immersion stage of the battery under test. The moment of inertia parameter refers to the inertial measure of the battery under test during rotation, which can be defined as the square of the distance r from the mass dm of each mass element to the axis of rotation. 2 The integral, that is, the moment of inertia parameter I = ∫r 2 dm.

[0067] In real-world scenarios, after the electrolyte is injected into the battery casing, the electrodes gradually draw the electrolyte into themselves through capillary action. Initially, the electrolyte is concentrated in the center of the battery, resulting in uneven mass distribution within the battery. As the immersion time increases, the electrolyte is gradually absorbed by the electrodes, eventually becoming completely and evenly distributed within them, leading to a uniform mass distribution within the battery.

[0068] For objects of the same mass and shape, the more uneven the internal mass distribution, the greater the moment of inertia. During the immersion process of the battery under test, the electrolyte gradually becomes more uniform, which is reflected in the change of the moment of inertia. Specifically, as the immersion time increases, the moment of inertia gradually decreases and eventually stabilizes. Therefore, the moment of inertia parameters of the battery under test at different immersion times can be collected to achieve immersion 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 on a moment of inertia testing device, and the moment of inertia parameter can be collected by the device and sent to the actuator of the electrolyte wetting detection method. This actuator can be a device separately configured from the moment of inertia testing device, such as a device for battery processing control. In another embodiment, the actuator can also be the controller of the moment of inertia testing device; the specific method is not limited.

[0070] It is understood that there is no single way to test the rotational inertia parameter of the battery under test. In one embodiment, the torsion pendulum method can be used to test the rotational inertia parameter. In another embodiment, the trifilar pendulum method or the shaking table method can also be used to test the rotational inertia parameter of the battery under test. No specific method is limited.

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

[0072] Specifically, the distribution state refers to the distribution of the electrolyte in the battery under test. Its specific form is not unique; it can be the result of whether the electrolyte is already uniformly distributed in the battery, or whether the electrolyte gradually tends towards a uniform distribution as the immersion time changes, etc. There is no specific limitation. After obtaining the moment of inertia parameters of the battery under test under different immersion etching conditions, by combining the moment of inertia parameters at each immersion time and analyzing the change of the moment of inertia parameters with immersion time, the distribution state of the electrolyte in the battery under test can be obtained.

[0073] The aforementioned electrolyte wetting detection method is based on the phenomenon that the electrolyte inside the battery tends to become more uniform as the immersion time increases. It uses the change in rotational inertia to reflect the change in electrolyte distribution within the battery. By combining the rotational inertia parameters of the battery at different immersion times, the distribution state of the electrolyte is determined, thus achieving electrolyte wetting detection. This method does not require disassembling the battery to detect the electrolyte distribution state, avoiding situations where the electrolyte distribution state has changed during actual testing due to disassembly or other reasons, and thus has high accuracy in electrolyte wetting detection.

[0074] Furthermore, the above-mentioned electrolyte wetting detection method can be implemented without the user manually disassembling the battery under test, which has extremely high testing efficiency. It can also effectively reduce the occurrence of misjudging non-uniform wetting as uniform wetting or vice versa. It can reflect the distribution state of electrolyte in the battery under test in a non-destructive, in-situ, and accurate manner.

[0075] Please see Figure 2 In some embodiments, step 104 includes steps 202 and 204.

[0076] Step 202: Determine the change in moment of inertia at different immersion times based on the moment of inertia parameters.

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

[0078] Specifically, the change in moment of inertia refers to the change in the moment of inertia parameter acquired at the current moment relative to the moment of inertia parameter acquired at the previous moment. In practical scenarios, considering that the moment of inertia parameter of the battery under test should theoretically gradually decrease and tend to stabilize as the immersion time increases, 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 immersion moment.

[0079] If the electrolyte in the battery under test is uniformly 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 magnitude of the change in moment of inertia can be used to determine whether the electrolyte in the battery under test is uniformly distributed, that is, to determine the distribution state of the electrolyte in the battery under test.

[0080] It is understood that in other embodiments, the distribution state of the electrolyte can also be determined by monitoring the correlation curve between the rotational inertia parameter and the immersion time, etc., without any specific limitation.

[0081] The above scheme combines the change in moment of inertia at different immersion times to detect the distribution state of the electrolyte in the battery under test. The change in moment of inertia is used to characterize the change of electrolyte with immersion time, which has high accuracy in detecting the distribution state.

[0082] Please see Figure 3 In some embodiments, the distribution state includes uniform distribution and non-uniform distribution; step 204 includes steps 302 and 304.

[0083] Step 302: If the change in moment of inertia is less than or equal to a preset stability threshold, determine that the electrolyte distribution of the battery under test is uniform.

[0084] Step 304: If the change in moment of inertia is greater than the preset stability threshold, determine that the electrolyte distribution of the battery under test is non-uniform.

[0085] Specifically, the preset stability threshold is a pre-set maximum allowable change in moment of inertia when the electrolyte of the battery under test is uniformly distributed. The change in moment of inertia is a parameter used to characterize the change in the moment of inertia parameter at different immersion times. It should be noted that the type of 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 parameter between adjacent immersion times. In another embodiment, the change in moment of inertia at the current immersion time can be the ratio of the difference between the moment of inertia parameter at the current immersion time and the moment of inertia parameter at the previous immersion time to the moment of inertia parameter at the previous immersion time. Correspondingly, the type of preset stability threshold will also differ depending on the type of change in moment of inertia. If the change in moment of inertia is the aforementioned difference, then the preset stability threshold should also be characterized by the moment of inertia parameter; if the change in moment of inertia is the aforementioned ratio, then the preset stability threshold should be characterized by a percentage.

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

[0087] It should be noted that the preset stability threshold is not unique; it varies depending on the type of battery under test. The specific value should be configured according to actual needs. In one embodiment, considering that theoretically, the moment of inertia parameter of the battery under test will be in a stable state after the electrolyte is evenly distributed, the preset stability threshold can be set as small as possible to improve detection accuracy.

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

[0089] In another embodiment, taking the change in moment of inertia as the aforementioned ratio as an example, the preset stability threshold can be set to 0-0.2% (in other embodiments, it can also be set slightly greater than 0.2%, without limitation). Thus, in practical scenarios, the change in moment of inertia can be configured to any value among 0, 0.2%, and 0-0.2%, such as 0.05%, 0.1%, etc., according to requirements.

[0090] In a more detailed embodiment, the preset stability threshold can be set to 0. Accordingly, when the change in rotational inertia is detected to be 0, the electrolyte of the battery under test is determined to be uniformly distributed; while when the change in rotational inertia is detected to be non-uniformly distributed, the electrolyte of the battery under test is determined to be non-uniformly distributed.

[0091] The above scheme determines whether the electrolyte of the battery under test is uniformly distributed by judging whether the change in moment of inertia is less than or equal to a preset stability threshold, and has high distribution recognition efficiency.

[0092] To facilitate understanding, the following explanation uses the test results of a certain battery in a real-world scenario as an example. The moment of inertia parameters were measured at immersion times of 0h, 0.5h, 1h, 1.5h, 2h, 2.5h, 3h, 4h, 6h, 8h, 12h, 16h, and 24h. The resulting moment of inertia parameters for each immersion time were 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).

[0093] When the change in moment of inertia is characterized by a difference, the preset stability threshold is set to 0.0001; when the change in moment of inertia is characterized by a ratio, the preset stability threshold is set to 0.1%. Analysis shows that when the immersion time reaches 12 hours, the difference between the moment of inertia parameter and the previous immersion time is 0.0001, which is equal to the preset stability threshold (0.0001), indicating that the electrolyte is uniformly distributed after 12 hours. Similarly, when the immersion time reaches 12 hours, the ratio of the difference between the moment of inertia parameter and the previous immersion time is 0.059%, which is less than the preset stability threshold (0.1%), indicating that the electrolyte is uniformly distributed after 12 hours.

[0094] Please see Figure 4 In some embodiments, the distribution state includes uniform distribution and non-uniform distribution; step 204 includes steps 402 and 404.

[0095] Step 402: If the change in moment of inertia is less than or equal to a preset stability threshold for a preset number of consecutive occurrences, the electrolyte distribution of the battery under test is determined to be uniform.

[0096] Step 404: If the change in moment of inertia does not occur more than or equal to a preset stability threshold for a preset number of consecutive occurrences, determine that the electrolyte distribution of the battery under test is non-uniform.

[0097] Specifically, unlike the above embodiments where the change in moment of inertia is less than or equal to a preset stability threshold, indicating a uniform electrolyte distribution in the battery under test, this embodiment takes into account the possibility of measurement errors, where the change in moment of inertia may be less than or equal to the preset stability threshold. This embodiment sets a preset number of occurrences. If the change in moment of inertia is less than or equal to the preset stability threshold a preset number of times consecutively, the electrolyte distribution in the battery under test is considered uniform; otherwise, the electrolyte distribution is considered non-uniform.

[0098] It should be noted that the number of preset times is not unique. In one embodiment, the number of preset times can be set to be greater than 1. For example, the number of preset times can be set to 2-5. In actual scenarios, the number of preset times can be 2, 3, 4, 5, etc., and there is no specific limitation.

[0099] The above scheme determines whether the electrolyte of the battery under test is uniformly distributed by judging whether the state of change of rotational inertia being less than or equal to a preset stable threshold occurs continuously a preset number of times, and has high distribution identification accuracy.

[0100] Please see Figure 5 In some embodiments, step 104 includes steps 502 and 504.

[0101] Step 502: Determine the relationship curve between the moment of inertia parameter and the immersion time based on the moment of inertia parameter.

[0102] Step 504: Determine the distribution state of the electrolyte in the battery under test based on the relationship curve.

[0103] Specifically, the relationship curve characterizes the trend of the measured moment of inertia parameter changing with immersion time. Accordingly, in this embodiment, the distribution state can be the detection result of whether the electrolyte is uniformly distributed, or the situation of electrolyte distribution changing with immersion time, etc., and is not specifically limited.

[0104] In practical scenarios, the moment of inertia parameter can be acquired at regular intervals, thus obtaining the moment of inertia parameter of the battery under test at different immersion times. Afterwards, the relationship between immersion time and moment of inertia parameter is fitted to obtain the relationship curve between immersion time and moment of inertia parameter. For example, in a more detailed embodiment, the moment of inertia parameter is acquired at immersion operation durations (immersion time) of 0.5h, 1h, 1.5h, 2h, 2.5h, 3h, 4h, 6h, 8h, 12h, 16h, and 24h, and finally fitted to obtain the relationship curve. Figure 6 The relationship curves shown indicate that after a continuous immersion time of 12 hours, the moment of inertia parameter remains essentially unchanged, meaning that the electrolyte is evenly distributed.

[0105] The above scheme uses the relationship curve between the moment of inertia parameter and the immersion time to intuitively characterize the changes in electrolyte distribution in the battery under test, and uses the relationship curve to determine the distribution state of electrolyte in the battery under test, which has high detection convenience.

[0106] Please see Figure 7 In some embodiments, the method further includes steps 702 and 704.

[0107] Step 702: Obtain the disassembly interface image information of the battery under test when the electrolyte is uniformly distributed and immersed.

[0108] Step 704: Verify the detection results of the distribution state based on the disassembly interface image information.

[0109] Specifically, the disassembly interface image information refers to the image information obtained after the battery under test has been disassembled, through image acquisition of the disassembly interface. Disassembly of the battery under test can be performed automatically by controlling relevant disassembly equipment or manually by the user; there are no specific limitations.

[0110] To verify the accuracy of electrolyte wetting detection using rotational inertia parameters, the battery under test can be disassembled at the point of wetting when a uniform electrolyte distribution is detected, obtaining an image of the disassembled interface. Subsequently, image recognition and other analyses are performed on the disassembled interface image to determine the presence of interface anomalies such as black spots, thereby verifying the accuracy of the result indicating uniform electrolyte distribution. For example, if the analysis of the disassembled interface image reveals the presence of black spots or other anomalies, the electrolyte distribution in the battery under test is determined to be non-uniform; if no black spots or other anomalies are found, the electrolyte distribution in the battery under test is determined to be uniform.

[0111] The above scheme can also verify the accuracy of the distribution state detection of the moment of inertia parameter by detecting the disassembly interface image information obtained after disassembling the battery under test, thereby improving the reliability of the detection results.

[0112] It is understood that in other embodiments, considering that the accuracy of general image acquisition devices in acquiring disassembly interface image information is relatively low, the detection results can be verified by manual visual inspection combined with the images of the disassembly interface. The specific choice can be made according to actual needs, and no limitation is made here.

[0113] Furthermore, in some embodiments, the detection results of the distribution state can be verified by combining the immersion time before or after the immersion time when the electrolyte is uniformly distributed. In this embodiment, multiple immersion batteries of the same model are included. The immersion battery corresponding to the immersion time when the electrolyte is uniformly distributed (which can be understood as the current time) can be disassembled to obtain the first disassembly interface image information; the immersion battery before the electrolyte is uniformly distributed (which can be the previous immersion time) can be disassembled to obtain the second disassembly interface image information; and the immersion battery after the electrolyte is uniformly distributed (which can be the next immersion time) can be disassembled to obtain the third disassembly interface image information. Finally, the detection results of the distribution state are verified by comparing the first disassembly interface image information, the second disassembly interface image information, and the third disassembly interface image information.

[0114] For example, if the analysis of the second disassembly interface image information shows that the disassembly interface has slight abnormalities or no abnormalities, the analysis of the first disassembly interface image information shows that the disassembly interface has serious abnormalities, and the analysis of the third disassembly interface image information shows that the disassembly interface has no abnormalities, then it indicates that the electrolyte in the battery under test is uniformly distributed at the current immersion time.

[0115] Please see Figure 8 In some embodiments, the method further includes steps 802 and 804 before step 102.

[0116] Step 802: After the moment of inertia testing equipment has been calibrated, place the battery to be tested on the moment of inertia testing equipment to set up the test bench.

[0117] Step 804: Once the test bench is set up, start the rotational inertia testing equipment.

[0118] Specifically, the moment of inertia testing equipment is used to drive the battery under test to rotate and collect its moment of inertia parameters. In this embodiment, the moment of inertia parameters are obtained by testing with the moment of inertia testing equipment. To improve testing accuracy, the equipment needs to be calibrated before testing to minimize testing deviation (e.g., test deviation less than or equal to 0.1%). After calibration, the battery under test is placed on the equipment, other components are connected, and the test bench is set up. Finally, simply turning on the equipment allows for the detection of the moment of inertia parameters.

[0119] It should be noted that the calibration method for the moment of inertia testing equipment is not unique. In one embodiment, after selecting a standard part, the moment of inertia testing equipment can be calibrated at zero point, compared with the standard part, and calibrated at multiple points. The specific method is not limited.

[0120] The type of moment of inertia testing equipment is not unique. In one embodiment, a moment of inertia testing equipment of the torsion pendulum method type can be used. In another embodiment, other types of moment of inertia testing equipment can also be used. No specific limitation is made.

[0121] The above scheme, after the moment of inertia testing equipment has been calibrated and the test bench has been set up, allows for the testing of the moment of inertia, effectively reducing measurement errors and improving the accuracy of the moment of inertia parameters.

[0122] Please see Figure 9 In some embodiments, step 804 includes steps 902 and 904.

[0123] Step 902: Once the test bench is set up, obtain the environmental parameters of the battery under test.

[0124] Step 904: After determining that the preset immersion conditions are met based on environmental parameters, control the rotational inertia testing equipment to start operation.

[0125] Specifically, environmental parameters refer to the parameters related to the immersion environment of the battery under test. These parameters are not unique and can include temperature, humidity, etc., without limitation. Preset immersion conditions refer to the pre-defined operating environment required for the electrolyte immersion of the battery under test. Preset immersion conditions will vary depending on the environmental parameters, and will not be elaborated upon here.

[0126] In this embodiment, after the test bench is built, the environmental parameters of the battery under test need to be verified. If the environmental parameters meet the preset immersion conditions, the rotational inertia testing equipment is then turned on, so that the electrolyte immersion detection can be achieved while the battery under test is immersed in electrolyte.

[0127] In one embodiment, the environmental parameters include the temperature of the immersion chamber for the battery under test. In this embodiment, the battery under test is placed in an immersion chamber. When the temperature of the immersion chamber reaches the set temperature, the preset immersion conditions are considered met, and the rotational inertia testing equipment is then activated. In another embodiment, the environmental parameters may also include the immersion duration. In this embodiment, the rotational inertia testing equipment is activated after a preset immersion duration, and rotational inertia parameters are collected at certain time intervals.

[0128] The above scheme, after the test bench is set up, will also detect the environmental parameters of the battery under test. The rotational inertia test equipment will be turned on only when the preset immersion conditions are met, so that the test is carried out under suitable immersion conditions and the reliability of the test is improved.

[0129] Please see Figure 10 In some embodiments, the method further includes step 1002.

[0130] Step 1002: Determine the electrolyte consumption in the battery under test based on the moment of inertia parameters of the battery under test.

[0131] Specifically, in this embodiment, the battery under test refers to a battery for which electrolyte consumption testing is required. Electrolyte consumption refers to the gradual reduction of electrolyte due to internal chemical reactions or physical evaporation within 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 will be. Therefore, changes in the moment of inertia parameter can be used to verify changes in the mass of the battery under test, i.e., electrolyte consumption. The method for obtaining the moment of inertia parameter is similar to that in the above embodiment and will not be repeated here.

[0132] The electrolyte consumption detection in this embodiment can be applied to the immersion detection process of the battery under test. After the electrolyte of the battery under test is evenly distributed, the rotational inertia parameter is collected to analyze the electrolyte consumption under natural storage conditions.

[0133] In another embodiment, electrolyte consumption detection can also be applied to subsequent battery formation testing or use. There are no specific limitations; the appropriate method can be chosen based on actual needs.

[0134] The above scheme can also infer the electrolyte consumption in the battery under test by using the rotational inertia parameter, thus achieving non-destructive testing of electrolyte consumption.

[0135] Please see Figure 11 In some embodiments, step 1002 includes steps 112 and 114.

[0136] Step 112: Determine the mass parameters of the battery under test based on its moment of inertia parameters.

[0137] Step 114: Determine the electrolyte consumption in the battery under test based on the change in mass parameters.

[0138] Specifically, the quality parameter is the mass of the battery under test; the change in the quality parameter is the change in the mass of the battery under test detected in the current test relative to the mass of the battery under test detected in the previous test. Specifically, it can be the change in mass relative to the mass at the time of the last test, or it can be the change in mass relative to the initial state, without any specific limitation.

[0139] In real-world scenarios, the mass and moment of inertia of the battery under test satisfy a certain relationship. Based on this relationship and the analysis of the battery's moment of inertia parameters, the mass parameters of the battery can be obtained. Since the mass decay of the battery under test during operation is caused by the consumption of electrolyte, the amount of electrolyte decay, i.e., the electrolyte consumption, can be obtained simply by analyzing the change in the battery's mass parameters.

[0140] It is understandable that the consumption of electrolyte can be the amount of electrolyte consumed at the current moment, or the trend of electrolyte changes as the usage time increases, etc. There is no specific limitation; you can choose according to the actual needs.

[0141] It should be noted that the method of inferring the mass parameters of the battery under test from the moment of inertia parameter is not unique and will vary depending on the type of battery under test. For example, in one embodiment, taking a cylindrical battery as an example, its moment of inertia can be calculated as: I = 1 / 12ML 2 Let M be the mass of the cylindrical battery and L be its length. Thus, after obtaining the moment of inertia parameter, the mass of the cylindrical battery can be deduced by substituting it into the above expression.

[0142] The above scheme combines the moment of inertia parameter to infer the mass parameter of the battery under test, and uses the change in mass parameter to characterize the electrolyte consumption, which has high accuracy in detecting electrolyte consumption.

[0143] In some embodiments, the method further includes: determining the mass parameters of the battery under test based on the moment of inertia parameters of the battery under test in a fully discharged state.

[0144] Specifically, the fully discharged state refers to the state where the battery under test is discharged to the cutoff voltage, resulting in zero remaining charge. During discharge, the lithium ion concentration gradient in the electrolyte gradually decreases. At full discharge, the ion distribution in the electrolyte tends to be balanced, reducing mass unevenness caused by local concentration differences. Therefore, the internal mass distribution of the battery under test is more uniform in the fully discharged state. Consequently, mass parameter analysis combined with rotational inertia parameters in the fully discharged state can yield more accurate mass parameters.

[0145] The above scheme takes into account that the internal mass distribution of the battery under test is more uniform when fully discharged. It uses the moment of inertia parameter of the battery under test when fully discharged to calculate the mass parameter, thereby improving the accuracy of the mass parameter calculation.

[0146] Furthermore, in one embodiment, a similar method described above can be used to analyze the electrolyte consumption of the battery under test under different charge-discharge cycles, depending on actual needs. The specific method can be selected based on actual requirements.

[0147] To facilitate understanding of the technical solution of this application, the following detailed embodiments will be used to explain and illustrate this application.

[0148] The rotational inertia parameter of the battery under test is tested using the torsional pendulum method. The specific principle is as follows: after the battery under test is torsional around an axis, it vibrates freely. Its period is related to the rotational inertia parameter. The vibration period of the battery under test is calculated using a photoelectric sensor, thereby obtaining the rotational inertia parameter. The specific process is as follows:

[0149] (1) An air-suspended moment of inertia testing device was used to calibrate the device and confirm that the test deviation was ≤0.1%;

[0150] (2) Set up the test bench, place the battery to be tested on the moment of inertia test equipment, and then place the whole equipment in the immersion chamber. After the chamber reaches the immersion conditions, turn on the moment of inertia test equipment.

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

[0152] (4) The distribution of electrolyte inside the battery under test is determined by fitting the relationship curve. The relationship curve shows that as the immersion time increases, the moment of inertia of the battery under test gradually decreases and tends to stabilize. During this process, the electrolyte tends to be evenly distributed. The time when the moment of inertia parameter stabilizes is the immersion completion time of the battery under test. At the same time, based on the stabilization time of the moment of inertia parameter, the battery under test at this node, as well as the batteries under test at the nodes before and after this node, are disassembled. The disassembly interface is observed. Whether black spots or other interface abnormalities appear on the disassembly interface is used to determine whether the battery under test has been fully immersed at this time, thereby verifying whether the above distribution detection results are accurate.

[0153] It should be understood that although the steps in the flowcharts of the embodiments described above are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the embodiments described above may include multiple steps or multiple stages. These steps or stages are not necessarily completed 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 performed alternately or in turn with other steps or at least some of the steps or stages in other steps. It is understood that the steps in different embodiments can be freely combined as needed, and all non-contradictory solutions formed by such combinations are within the scope of protection of this application.

[0154] Based on the same inventive concept, this application also provides an electrolyte wetting detection device for implementing the electrolyte wetting detection method described above. The solution provided by this device is similar to the solution described in the above method; therefore, the specific limitations in one or more embodiments of the electrolyte wetting detection device provided below can be found in the limitations of the electrolyte wetting detection method described above, and will not be repeated here.

[0155] Please see Figure 12 This application also provides an electrolyte wetting detection device, including an inertia acquisition module 122 and a wetting detection module 124.

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

[0157] In some embodiments, the wetting detection module 124 is further configured to determine the change in rotational inertia at different wetting times based on the rotational inertia parameter; and to determine the distribution state of the electrolyte in the battery under test based on the change in rotational inertia.

[0158] In some embodiments, the wetting detection module 124 is further configured to determine that the electrolyte of the battery under test is uniformly distributed when the change in moment of inertia is less than or equal to a preset stability threshold; and to determine that the electrolyte of the battery under test is non-uniformly distributed when the change in moment of inertia is greater than the preset stability threshold.

[0159] In some embodiments, the wetting detection module 124 is further configured to determine that the electrolyte of the battery under test is uniformly distributed when the change in moment of inertia occurs less than or equal to a preset stability threshold for a preset number of consecutive occurrences; and to determine that the electrolyte of the battery under test is non-uniformly distributed when the change in moment of inertia does not occur less than or equal to the preset stability threshold for a preset number of consecutive occurrences.

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

[0161] Please see Figure 13 In some embodiments, the device further includes a result verification module 132.

[0162] The result verification module 132 is used to acquire the disassembly interface image information of the battery under test when the electrolyte is uniformly distributed during the immersion time; and to verify the detection results of the distribution state based on the disassembly interface image information.

[0163] Please see Figure 14 In some embodiments, the device also includes a test preparation module 142.

[0164] The test preparation module 142 is used to place the battery under test on the moment of inertia testing equipment for test bench setup after the moment of inertia testing equipment has been calibrated; and to control the moment of inertia testing equipment to start operation after the test bench setup is completed.

[0165] In some embodiments, the test preparation module 142 is further configured to acquire the environmental parameters of the battery under test after the test bench has been erected; and control the rotational inertia test equipment to start operation when the preset immersion conditions are met based on the environmental parameters.

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

[0167] The electrolyte consumption detection module 152 is used to determine the electrolyte consumption in the battery under test based on the rotational inertia parameters of the battery under test.

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

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

[0170] Each module in the aforementioned electrolyte wetting detection device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in the processor of a computer device in hardware form or independent of it, or stored in the memory of a computer device in software form, so that the processor can call and execute the corresponding operations of each module.

[0171] The aforementioned electrolyte wetting detection device is based on the phenomenon that the electrolyte inside the battery tends to become more uniform as the immersion time increases. It uses the change in rotational inertia to reflect the distribution change of the electrolyte inside the battery. By combining the rotational inertia parameters of the battery at different immersion times, the distribution state of the electrolyte is determined, thus achieving electrolyte wetting detection. This solution can detect the electrolyte distribution state without disassembling the battery, avoiding situations where the electrolyte distribution state has changed due to disassembly or other reasons during actual testing, and has high accuracy in electrolyte wetting detection.

[0172] Please see Figure 16 This application also provides an electrolyte wetting detection system, including: an immersion chamber 10, a moment of inertia testing device 20, and a controller (not shown). The moment of inertia testing device 20 is used to collect the moment of inertia parameters of the battery under test (i.e., Figure 30) at different immersion times. The moment of inertia testing device 20 is disposed inside the immersion chamber 10. The controller is connected to the immersion chamber 10 and the moment of inertia testing device 20. The controller is used to execute the steps of the above-described electrolyte wetting detection method.

[0173] Specifically, the immersion chamber 10 provides the necessary environment for electrolyte immersion in the battery under test. The implementation of the electrolyte immersion detection method is as shown in the above embodiments and accompanying drawings, and will not be repeated here. This electrolyte immersion detection system, based on the phenomenon that the electrolyte inside the battery tends to become more uniform with the extension of the immersion time, uses the change in rotational inertia to reflect the distribution change of the electrolyte inside the battery. By combining the rotational inertia parameters of the battery at different immersion times, the distribution state of the electrolyte is determined to achieve electrolyte immersion detection. This solution does not require disassembling the battery under test to detect the electrolyte distribution state, avoiding situations where the electrolyte distribution state has changed during actual testing due to disassembly or other reasons, and has high accuracy in electrolyte immersion detection.

[0174] In one exemplary embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as follows: Figure 17As shown, the computer device includes a processor, memory, input / output interface, communication interface, display unit, and input device. The processor, memory, and input / output interface are connected via a system bus, and the communication interface, display unit, and input device are also connected to the system bus via the input / output interface. The processor provides computing and control capabilities. The memory includes a non-volatile storage medium and internal memory. The non-volatile storage medium stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium. The input / output interface is used for exchanging information between the processor and external devices. The communication interface is used for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, mobile cellular networks, Near Field Communication (NFC), or other technologies. When the computer program is executed by the processor, it implements an electrolyte wetting detection method.

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

[0176] This application also provides a computer device, including a memory and a processor. The memory stores a computer program, and the processor executes the computer program to perform the following steps: obtaining the moment of inertia parameters of the battery under test at different immersion times; and determining the distribution state of the electrolyte in the battery under test based on the moment of inertia parameters.

[0177] In one embodiment, when the processor executes the computer program, it further performs the following steps: determining the change in rotational inertia at different immersion times based on the rotational inertia parameter; and determining the distribution state of the electrolyte in the battery under test based on the change in rotational inertia.

[0178] In one embodiment, when the processor executes the computer program, it further performs the following steps: when the change in moment of inertia is less than or equal to a preset stability threshold, it determines that the electrolyte of the battery under test is uniformly distributed; when the change in moment of inertia is greater than the preset stability threshold, it determines that the electrolyte of the battery under test is non-uniformly distributed.

[0179] In one embodiment, when the processor executes the computer program, it further implements the following steps: if the change in moment of inertia occurs less than or equal to a preset stability threshold for a preset number of consecutive occurrences, it determines that the electrolyte of the battery under test is uniformly distributed; if the change in moment of inertia does not occur less than or equal to the preset stability threshold for a preset number of consecutive occurrences, it determines that the electrolyte of the battery under test is non-uniformly distributed.

[0180] In one embodiment, when the processor executes the computer program, it further performs the following steps: determining the relationship curve between the moment of inertia parameter and the immersion time based on the moment of inertia parameter; and determining the distribution state of the electrolyte in the battery under test based on the relationship curve.

[0181] In one embodiment, when the processor executes the computer program, it further performs the following steps: acquiring disassembly interface image information of the battery under test at the time of uniform electrolyte distribution; and verifying the detection result of the distribution state based on the disassembly interface image information.

[0182] In one embodiment, when the processor executes the computer program, it also performs the following steps: after the moment of inertia testing equipment 20 has been calibrated, the battery to be tested is placed on the moment of inertia testing equipment 20 to build the test bench; after the test bench has been built, the moment of inertia testing equipment 20 is controlled to start operation.

[0183] In one embodiment, when the processor executes the computer program, it also performs the following steps: after the test bench is set up, it acquires the environmental parameters of the battery under test; and when it is determined from the environmental parameters that the preset immersion conditions are met, it controls the rotational inertia testing equipment 20 to start running.

[0184] In one embodiment, when the processor executes the computer program, it also performs the following steps: determining the electrolyte consumption in the battery under test based on the moment of inertia parameters of the battery under test.

[0185] In one embodiment, when the processor executes the computer program, it further performs the following steps: determining the mass parameters of the battery under test based on the moment of inertia parameters of the battery under test; and determining the consumption of electrolyte in the battery under test based on the change in the mass parameters.

[0186] In one embodiment, when the processor executes the computer program, it further performs the following steps: determining the mass parameters of the battery under test based on the moment of inertia parameters of the battery under test in a fully discharged state.

[0187] In some embodiments, this application provides a computer-readable storage medium storing a computer program thereon, which, when executed by a processor, performs the following steps: obtaining the moment of inertia parameters of the battery under test at different immersion times; and determining the distribution state of the electrolyte in the battery under test based on the moment of inertia parameters.

[0188] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: determining the change in rotational inertia at different immersion times based on the rotational inertia parameter; and determining the distribution state of the electrolyte in the battery under test based on the change in rotational inertia.

[0189] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: when the change in moment of inertia is less than or equal to a preset stability threshold, it determines that the electrolyte of the battery under test is uniformly distributed; when the change in moment of inertia is greater than the preset stability threshold, it determines that the electrolyte of the battery under test is non-uniformly distributed.

[0190] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: if the change in moment of inertia occurs less than or equal to a preset stability threshold for a preset number of consecutive occurrences, it determines that the electrolyte of the battery under test is uniformly distributed; if the change in moment of inertia does not occur less than or equal to the preset stability threshold for a preset number of consecutive occurrences, it determines that the electrolyte of the battery under test is non-uniformly distributed.

[0191] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: determining the relationship curve between the moment of inertia parameter and the immersion time based on the moment of inertia parameter; and determining the distribution state of the electrolyte in the battery under test based on the relationship curve.

[0192] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: acquiring disassembly interface image information of the battery under test at the time of uniform electrolyte distribution; and verifying the detection result of the distribution state based on the disassembly interface image information.

[0193] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: after the moment of inertia testing equipment 20 has been calibrated, the battery to be tested is placed on the moment of inertia testing equipment 20 to build the test bench; after the test bench has been built, the moment of inertia testing equipment 20 is controlled to start operation.

[0194] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: after the test bench is set up, it acquires the environmental parameters of the battery to be tested; and when it is determined from the environmental parameters that the preset immersion conditions are met, it controls the rotational inertia testing equipment 20 to start running.

[0195] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: determining the electrolyte consumption in the battery under test based on the moment of inertia parameter of the battery under test.

[0196] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: determining the mass parameters of the battery under test based on the moment of inertia parameters of the battery under test; and determining the consumption of electrolyte in the battery under test based on the change in the mass parameters.

[0197] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: determining the mass parameters of the battery under test based on the moment of inertia parameters of the battery under test in a fully discharged state.

[0198] In some embodiments, this application provides a computer program product, including a computer program that, when executed by a processor, performs the following steps: obtaining the moment of inertia parameters of the battery under test at different immersion times; and determining the distribution state of the electrolyte in the battery under test based on the moment of inertia parameters.

[0199] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: determining the change in rotational inertia at different immersion times based on the rotational inertia parameter; and determining the distribution state of the electrolyte in the battery under test based on the change in rotational inertia.

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

[0201] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: if the change in moment of inertia occurs less than or equal to a preset stability threshold for a preset number of consecutive occurrences, it determines that the electrolyte of the battery under test is uniformly distributed; if the change in moment of inertia does not occur less than or equal to the preset stability threshold for a preset number of consecutive occurrences, it determines that the electrolyte of the battery under test is non-uniformly distributed.

[0202] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: determining the relationship curve between the moment of inertia parameter and the immersion time based on the moment of inertia parameter; and determining the distribution state of the electrolyte in the battery under test based on the relationship curve.

[0203] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: acquiring disassembly interface image information of the battery under test at the time of uniform electrolyte distribution; and verifying the detection result of the distribution state based on the disassembly interface image information.

[0204] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: after the moment of inertia testing equipment 20 has been calibrated, the battery to be tested is placed on the moment of inertia testing equipment 20 to build the test bench; after the test bench has been built, the moment of inertia testing equipment 20 is controlled to start operation.

[0205] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: after the test bench is set up, it acquires the environmental parameters of the battery to be tested; and when it is determined from the environmental parameters that the preset immersion conditions are met, it controls the rotational inertia testing equipment 20 to start running.

[0206] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: determining the electrolyte consumption in the battery under test based on the moment of inertia parameter of the battery under test.

[0207] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: determining the mass parameters of the battery under test based on the moment of inertia parameters of the battery under test; and determining the consumption of electrolyte in the battery under test based on the change in the mass parameters.

[0208] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: determining the mass parameters of the battery under test based on the moment of inertia parameters of the battery under test in a fully discharged state.

[0209] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, databases, or other media 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), magnetic 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 take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, computation-based data processing logic devices, artificial intelligence (AI) processors, etc., and are not limited to these.

[0210] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of this application, and not to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features therein. These modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of this application, and they should all be covered within the scope of the claims and specification of this application. In particular, as long as there is no structural conflict, the various technical features mentioned in the embodiments can be combined in any way. This application is not limited to the specific embodiments disclosed herein, but includes all technical solutions falling within the scope of the claims.

Claims

1. A method for detecting electrolyte wetting, characterized in that, include: During the immersion stage of the battery under test manufacturing process, the rotational inertia parameters of the battery under test at different immersion times are obtained. The immersion stage refers to the stage where, after the electrolyte is injected into the battery casing, the electrodes of the battery under test gradually absorb the electrolyte into the electrodes through capillary effect until the electrolyte is evenly distributed within the electrodes, thus ensuring a uniform internal mass distribution of the battery under test. The rotational inertia parameters are the parameters of the battery under test when, with the mass of the battery under test remaining constant, the internal mass distribution of the battery changes due to the gradual absorption of the electrolyte by the electrodes. Based on the rotational inertia parameter, the distribution state of the electrolyte in the battery under test is determined; the distribution state includes whether the electrolyte has been uniformly distributed in the electrode, or whether the electrolyte gradually tends to be uniformly distributed in the electrode as the immersion time changes; During natural storage, formation testing, or use, the consumption of electrolyte in the battery under test is determined based on the moment of inertia parameter of the battery under test.

2. The electrolyte wetting detection method according to claim 1, characterized in that, Determining the distribution state of the electrolyte in the battery under test based on the moment of inertia parameter includes: Based on the moment of inertia parameter, determine the change in moment of inertia at different immersion times; The distribution state of the electrolyte in the battery under test is determined based on the change in moment of inertia.

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

4. The electrolyte wetting detection method according to claim 2, characterized in that, The distribution state includes uniform distribution and non-uniform distribution; determining the distribution state of the electrolyte in the battery under test based on the change in moment of inertia includes: If the change in moment of inertia is less than or equal to a preset stability threshold for a preset number of consecutive occurrences, the electrolyte distribution of the battery under test is determined to be uniform. If the change in moment of inertia does not occur more than or equal to a preset stability threshold for a predetermined number of consecutive occurrences, the electrolyte distribution of the battery under test is determined to be non-uniform.

5. The electrolyte wetting detection method according to claim 1, characterized in that, Determining the distribution state of the electrolyte in the battery under test based on the moment of inertia parameter includes: Based on the aforementioned moment of inertia parameters, determine the relationship curve between the moment of inertia parameters and the immersion time; Based on the relationship curve, the distribution state of the electrolyte in the battery under test is determined.

6. The electrolyte wetting detection method according to any one of claims 1-5, characterized in that, The method further includes: Obtain the disassembly interface image information of the battery under test at the time when the electrolyte is uniformly distributed and wetted; The detection results of the distribution state are verified based on the disassembly interface image information.

7. The electrolyte wetting detection method according to any one of claims 1-5, characterized in that, Before obtaining the rotational inertia parameters of the battery under test at different immersion times, the method further includes: After the moment of inertia testing equipment has been calibrated, the battery under test is placed on the moment of inertia testing equipment to build the test bench. Once the test bench is erected, the moment of inertia testing equipment is started and put into operation.

8. The electrolyte wetting detection method according to claim 7, characterized in that, Once the test bench is erected, controlling the rotational inertia testing equipment to start operation includes: Once the test bench is set up, the environmental parameters of the battery under test are obtained. Once the preset immersion conditions are met based on the environmental parameters, the rotational inertia testing equipment is controlled to start operation.

9. The electrolyte wetting detection method according to claim 1, characterized in that, The step of determining the electrolyte consumption in the battery under test based on the moment of inertia parameter of the battery under test includes: The mass parameters of the battery under test are determined based on the moment of inertia parameters of the battery under test. The consumption of electrolyte in the battery under test is determined based on the change in the mass parameter.

10. The electrolyte wetting detection method according to claim 9, characterized in that, The method further includes: The mass parameters of the battery under test are determined based on the moment of inertia parameters of the battery under test in its fully discharged state.

11. An electrolyte wetting detection device, characterized in that, include: An inertia acquisition module is used to acquire the rotational inertia parameters of the battery under test at different immersion times during the immersion stage of the battery under test manufacturing process. The immersion stage is the stage where, after the electrolyte is injected into the casing of the battery under test, the electrodes of the battery under test gradually absorb the electrolyte into the electrodes through capillary effect until the electrolyte is evenly distributed within the electrodes, thus ensuring a uniform internal mass distribution of the battery under test. The rotational inertia parameters are the rotational inertia parameters of the battery under test when, with the mass of the battery under test remaining constant, the internal mass distribution of the battery changes due to the gradual absorption of the electrolyte by the electrodes. The immersion detection module is used to determine the distribution state of the electrolyte in the battery under test based on the rotational inertia parameter; the distribution state includes whether the electrolyte has been uniformly distributed in the electrode, or whether the electrolyte gradually tends to be uniformly distributed in the electrode as the immersion time changes; The electrolyte consumption detection module is used to determine the electrolyte consumption of the battery under test based on the moment of inertia parameter of the battery under test during natural storage, formation testing, or use.

12. An electrolyte wetting detection system, characterized in that, include: Rotational inertia testing equipment is used to collect the rotational inertia parameters of the battery under test at different immersion times; An immersion chamber, wherein the moment of inertia testing device is installed inside the immersion chamber; A controller is connected to the immersion chamber and the moment of inertia testing device, and the controller is used to execute the steps of the electrolyte immersion detection method according to any one of claims 1-10.

13. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the electrolyte wetting detection method according to any one of claims 1-10.

14. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the electrolyte wetting detection method according to any one of claims 1-10.

15. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements the steps of the electrolyte wetting detection method according to any one of claims 1-10.

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