A method and system for detecting battery corrosion

Abstract

This invention discloses a method and system for detecting battery corrosion, comprising: performing two OCV tests on the battery cell to obtain OCV1 and OCV2; calculating the first voltage drop rate K1 of the battery cell; determining whether K1 is qualified; if not, the battery cell is corroded; if so, performing a third OCV test on the battery cell to obtain OCV3; calculating the degree of corrosion μ of the battery cell; determining whether μ is qualified; if so, the battery cell is not corroded; if not, the battery cell is corroded. This invention, by performing two OCV tests first to screen out battery cells with obvious corrosion, and then performing a third OCV test to further screen out battery cells with corrosion risk, enables relatively accurate detection of battery cell corrosion without destructive disassembly. This not only eliminates safety hazards but also is simple, fast, and easy to operate, making it suitable for widespread application.

Description

Technical Field

[0001] This invention relates to the field of battery technology, and in particular to a method and system for detecting battery corrosion. Background Technology

[0002] With the increasing promotion of new energy vehicles, the number of new energy vehicles on the road is rising rapidly, and the installed capacity of lithium batteries is also increasing accordingly.

[0003] However, as the demand for lithium batteries continues to increase, the recurring safety issues with lithium batteries have gradually attracted widespread attention from users. Among the many lithium battery safety problems, one stands out: the safety issue of lithium battery corrosion. Because the corrosion reaction in lithium batteries occurs relatively slowly and the identification period is long, some cells that may already have corrosion problems are not identified before installation, thus posing a safety hazard.

[0004] Therefore, it is essential to inspect the corrosion status of lithium batteries before installation.

[0005] The above information is provided as background information only to aid in understanding this disclosure and does not constitute an assertion or admission that any of the above content can be used as prior art relative to this disclosure. Summary of the Invention

[0006] This invention provides a method and system for detecting battery corrosion, thereby overcoming the shortcomings of existing technologies.

[0007] To achieve the above objectives, the present invention provides the following technical solution:

[0008] In a first aspect, embodiments of the present invention provide a method for detecting battery corrosion, the method comprising:

[0009] S1. The cells that have been rated for capacity are placed at high temperature, and the cells after high temperature placement are subjected to the first OCV test to obtain OCV1.

[0010] S2. The battery cell that has been placed at high temperature is placed at room temperature, and the battery cell after being placed at room temperature is subjected to a second OCV test to obtain OCV2.

[0011] S3. Calculate the first voltage drop rate K1 of the battery cell based on OCV1, OCV2, and the following formula:

[0012] K1 = (OCV1 - OCV2) / Δt1, where Δt1 is the time interval between the first OCV detection and the second OCV detection;

[0013] S4. Determine whether K1 is qualified; if not, proceed to S12; if yes, proceed to S5.

[0014] S5. Calculate the first voltage ratio δ1 of the battery cell according to the following formula:

[0015] δ1 = OCV1 / OCV2;

[0016] S6. The battery cell is placed aside, and the placed battery cell is subjected to a third OCV test to obtain OCV3;

[0017] S7. Calculate the second voltage drop rate K2 of the battery cell based on OCV2, OCV3, and the following formula:

[0018] K2 = (OCV2 - OCV3) / Δt2, where Δt2 is the time interval between the second OCV detection and the third OCV detection;

[0019] S8. Calculate the second voltage ratio δ2 of the battery cell according to the following formula:

[0020] δ2=OCV2 / OCV3;

[0021] S9. Calculate the degree of corrosion μ of the battery cell according to the following formula:

[0022] μ=(K2 / K1) / (δ1*δ2);

[0023] S10. Determine whether μ is qualified; if yes, proceed to S11; if no, proceed to S12.

[0024] S11. Confirm that the battery cell has not been corroded;

[0025] S12. It is determined that the battery cell has been corroded.

[0026] Furthermore, in the battery corrosion detection method, step S1, which involves placing the sized battery cells at high temperature and performing a first OCV test on the cells after high-temperature placement to obtain OCV1, includes:

[0027] S1.1. Place the tested cells at a high temperature of 35℃-55℃ for 8h-72h.

[0028] S1.2. Perform the first OCV test on the battery cell after it has been placed at high temperature to obtain OCV1.

[0029] Furthermore, in the battery corrosion detection method, step S1.1, which involves placing the sized battery cells at a high temperature of 35℃-55℃ for 8 hours-72 hours, is as follows:

[0030] S1.1.1. Place the tested cells at a high temperature of 45℃ for 24 hours.

[0031] Furthermore, in the battery corrosion detection method, step S2, which involves placing the battery cell, which has been stored at high temperature, at room temperature and then performing a second OCV test on the cell after room temperature storage to obtain OCV2, includes:

[0032] S2.1. Place the battery cells that have been placed at high temperature at room temperature of 15℃-35℃ for 24h-200h.

[0033] S2.2. Perform a second OCV test on the battery cell after it has been left to stand at room temperature to obtain OCV2.

[0034] Furthermore, in the battery corrosion detection method, the step of placing the battery cell, which has been stored at high temperature, at room temperature (15℃-35℃) for 24h-200h is as follows:

[0035] S2.1.1. The battery cell that has been placed at high temperature is placed at room temperature of 25°C for 72 hours.

[0036] Furthermore, in the battery corrosion detection method, step S4, determining whether K1 is qualified, includes:

[0037] S4.1 Determine whether K1 is greater than the first set value; if yes, proceed to step S4.2; if no, proceed to step S4.3.

[0038] S4.2 Determine that K1 is unqualified;

[0039] S4.3 Determine that K1 is qualified.

[0040] Furthermore, in the battery corrosion detection method, step S6, which involves setting the battery cell aside and performing a third OCV test on the set-aside battery cell to obtain OCV3, includes:

[0041] S6.1. Place the battery cell at 25℃-35℃ for 24h-200h;

[0042] S6.2. Perform a third OCV test on the battery cell after it has been left idle to obtain OCV3.

[0043] Furthermore, in the battery corrosion detection method, step S6.1, which involves placing the battery cell at 25℃-35℃ for 24h-200h, is as follows:

[0044] S6.1.1. The battery cell is placed at 25°C for 100 hours.

[0045] Furthermore, in the battery corrosion detection method, step S10, determining whether μ is qualified, includes:

[0046] S10.1 Determine whether μ is greater than the second set value; if yes, proceed to step S10.2; if no, proceed to step S10.3.

[0047] S10.2, Determine that μ is unqualified;

[0048] S10.3 Determine that μ is qualified.

[0049] Furthermore, in the battery corrosion detection method, after S12, the method further includes:

[0050] S13. Remove the corroded battery cells.

[0051] In a second aspect, embodiments of the present invention provide a battery corrosion detection system, including a computer device, the computer device including a memory and a processor, the memory storing a computer program, characterized in that the processor executes the computer program to implement the battery corrosion detection method described in the first aspect above.

[0052] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0053] This invention provides a battery corrosion detection method and system. First, the battery cell undergoes two OCV (Optical Characteristic Value) tests. The first voltage drop rate (K1) is calculated based on the results of the first OCV test (OCV1), the second OCV test (OCV2), and the formula (OCV1-OCV2) / Δt1, to screen out cells showing significant corrosion. Then, a third OCV test is performed. The second voltage drop rate (K2) is calculated based on the results of the second OCV test (OCV2), the third OCV test (OCV3), and the formula (OCV2-OCV3) / Δt2. Finally, the first OCV test result (OV1-OCV2) is used to further analyze the corrosion rate. The first voltage ratio δ1 of the battery cell is calculated using the results of the second OCV test (OCV1), OCV2, and the formula OCV1 / OCV2. The second voltage ratio δ2 of the battery cell is calculated using the results of the second OCV test (OCV2), the third OCV test (OCV3), and the formula OCV2 / OCV3. The degree of corrosion μ of the battery cell is then calculated using the formula (K2 / K1) / (δ1*δ2) to further screen out battery cells with corrosion risks. This method allows for relatively accurate detection of battery cell corrosion without destructive disassembly, eliminating safety hazards. The method is simple, fast, and easy to operate, making it suitable for widespread application. Attached Figure Description

[0054] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0055] Figure 1 This is a schematic flowchart of a battery corrosion detection method provided in Embodiment 1 of the present invention;

[0056] Figure 2 This is a schematic flowchart of a battery corrosion detection method provided in Embodiment 2 of the present invention;

[0057] Figure 3 This is a schematic flowchart of a battery corrosion detection method provided in Embodiment 3 of the present invention;

[0058] Figure 4 This is a schematic diagram of the structure of a computer device provided in Embodiment 4 of the present invention. Detailed Implementation

[0059] To make the objectives, features, and advantages of this invention more apparent and understandable, the technical solutions of the embodiments of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the embodiments described below are only some embodiments of this invention, and not all embodiments. Based on the embodiments of this invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this invention.

[0060] In the description of this invention, it should be understood that when a component is considered to be "connected" to another component, it can be directly connected to the other component or there may be an intermediate component present simultaneously. When a component is considered to be "set" on another component, it can be directly set on the other component or there may be an intermediate component present simultaneously.

[0061] Furthermore, terms such as “long,” “short,” “inner,” and “outer” indicate orientation or positional relationships based on the orientation or positional relationships shown in the accompanying drawings. They are used only for the purpose of describing the present invention and are not intended to indicate or imply that the device or component referred to must have this specific orientation or operate in a specific orientational configuration. Therefore, they should not be construed as limitations of the present invention.

[0062] The technical solution of the present invention will be further described below with reference to the accompanying drawings and specific embodiments.

[0063] Example 1

[0064] In view of the aforementioned problem of difficulty in identifying battery corrosion, the applicant, based on years of rich practical experience and professional knowledge in the design and manufacturing of this field, and combined with the application of theoretical principles, has actively conducted research and innovation in order to create a technology that can solve the defects of the existing technology and make battery corrosion detection technology more practical. After continuous research, design, and repeated prototype production and improvement, this invention with real practical value has finally been created.

[0065] Please refer to Figure 1 , Figure 1 This is a flowchart illustrating a battery corrosion detection method according to Embodiment 1 of the present invention. This method is applicable to scenarios where battery corrosion is detected before installation. The method specifically includes the following steps:

[0066] S1. The cells that have been rated for capacity are placed at high temperature, and the cells after high temperature placement are subjected to the first OCV test to obtain OCV1.

[0067] OCV stands for Open Circuit Voltage. Therefore, OCV detection refers to the detection of the potential difference between the two terminals when the battery is open and not discharging.

[0068] In this embodiment, when performing the first OCV test on the battery cell, the battery cell needs to be specially treated to meet the conditions for the first test, that is, the battery cell that has been rated needs to be placed at high temperature for a period of time.

[0069] Optionally, step S1 may further include the following steps:

[0070] S1.1. Place the tested cells at a high temperature of 35℃-55℃ for 8h-72h.

[0071] S1.2. Perform the first OCV test on the battery cell after it has been placed at high temperature to obtain OCV1.

[0072] For example, step S1.1 can be further refined into the following steps:

[0073] S1.1.1. Place the tested cells at a high temperature of 45℃ for 24 hours.

[0074] As can be seen, this embodiment specifies the conditions that the battery cell must meet for the first test, namely, it needs to be placed at a high temperature of 35℃-55℃ for 8h-72h. A specific example is given: placing it at a high temperature of 45℃ for 24h. It can be understood that as long as the battery cell is placed at any temperature within the 35℃-55℃ range for any time within the 8h-72h range, it meets the conditions for the first test and can be subjected to the first OCV test.

[0075] S2. The battery cell that has been placed at high temperature is placed at room temperature, and the battery cell after being placed at room temperature is subjected to a second OCV test to obtain OCV2.

[0076] In this embodiment, when performing the second OCV test on the battery cell, the battery cell needs to be specially treated to meet the conditions for the second test. The conditions for the second test are different from those for the first test. That is, the battery cell that has been placed at high temperature needs to be placed at room temperature for a period of time.

[0077] Optionally, step S2 may further include the following steps:

[0078] S2.1. Place the battery cells that have been placed at high temperature at room temperature of 15℃-35℃ for 24h-200h.

[0079] S2.2. Perform a second OCV test on the battery cell after it has been left to stand at room temperature to obtain OCV2.

[0080] For example, step S2.1 can be further refined into the following steps:

[0081] S2.1.1. The battery cell that has been placed at high temperature is placed at room temperature of 25°C for 72 hours.

[0082] As can be seen, this embodiment specifies the conditions that the battery cell must meet for the second test, namely, it needs to be placed at a room temperature of 15℃-35℃ for 24h-200h. A specific example is given: placing it at a room temperature of 25℃ for 72h. It can be understood that as long as the battery cell is placed at any temperature within the high temperature range of 15℃-35℃ for any time within the range of 24h-200h, it meets the conditions for the second test and can be subjected to the second OCV test.

[0083] S3. Calculate the first voltage drop rate K1 of the battery cell based on OCV1, OCV2, and the following formula:

[0084] K1 = (OCV1 - OCV2) / Δt1, where Δt1 is the time interval between the first OCV detection and the second OCV detection.

[0085] It should be noted that the quality of a battery is usually determined by its operating parameters. In the industry, the self-discharge rate of each cell is usually measured by the voltage drop per unit time of each cell (i.e., the K value, where K1 and K2 in this embodiment are K values ​​at different times). By testing the K value of the cell, it can be determined whether the self-discharge rate of the cell is within the set standard range, thereby determining whether the cell is corroded.

[0086] S4. Determine whether K1 is qualified. If not, proceed to S12; if yes, proceed to S5.

[0087] It should be noted that if the value of K1 is outside the standard range, the cell is considered unqualified, indicating corrosion, and cells with unqualified K1 values ​​must be removed. However, the applicant's research found that due to differences in the resistance values ​​of structural components, the corrosion rate of cells also varies. This means that cells with qualified K1 values ​​may still experience corrosion. Therefore, in this embodiment, cells with qualified K1 values ​​will continue to undergo further testing to screen out as many corroded cells as possible.

[0088] S5. Calculate the first voltage ratio δ1 of the battery cell according to the following formula:

[0089] δ1=OCV1 / OCV2.

[0090] S6. The battery cell is placed aside, and the placed battery cell is subjected to a third OCV test to obtain OCV3.

[0091] In this embodiment, when performing the third OCV test on the battery cell, the battery cell needs to be specially treated to meet the conditions for the third test. The conditions for the third test are the same as those for the second test, which are both room temperature storage. However, the storage temperature and time are slightly different. In other words, the battery cell that has already been stored at room temperature needs to be stored at room temperature for a period of time.

[0092] Optionally, step S6 may further include the following steps:

[0093] S6.1. Place the battery cell at 25℃-35℃ for 24h-200h;

[0094] S6.2. Perform a third OCV test on the battery cell after it has been left idle to obtain OCV3.

[0095] For example, step S6.1 can be further refined into the following steps:

[0096] S6.1.1. The battery cell is placed at 25°C for 100 hours.

[0097] As can be seen, this embodiment specifies the conditions that the battery cell must meet for the third test, namely, it needs to be placed at a room temperature of 25℃-35℃ for 24h-200h. A specific example is given: placing it at a room temperature of 25℃ for 100h. It can be understood that as long as the battery cell is placed at any temperature within the high temperature range of 25℃-35℃ for any time within the range of 24h-200h, it meets the conditions for the third test and can be subjected to the third OCV test.

[0098] S7. Calculate the second voltage drop rate K2 of the battery cell based on OCV2, OCV3, and the following formula:

[0099] K2 = (OCV2 - OCV3) / Δt2, where Δt2 is the time interval between the second OCV detection and the third OCV detection.

[0100] It should be noted that this step is the second voltage drop rate calculation in this embodiment. That is, this embodiment performs a total of two voltage drop rate calculations. The two voltage drop rate calculations are combined with the two voltage ratio calculations to screen out the cells that are qualified but still have the potential for corrosion.

[0101] S8. Calculate the second voltage ratio δ2 of the battery cell according to the following formula:

[0102] δ2=OCV2 / OCV3.

[0103] S9. Calculate the degree of corrosion μ of the battery cell according to the following formula:

[0104] μ=(K2 / K1) / (δ1*δ2).

[0105] S10. Determine whether μ is qualified. If yes, proceed to S11; otherwise, proceed to S12.

[0106] It should be noted that due to the aging and recombination of the SEI film during the high-temperature process, which consumes lithium ions, the voltage drop changes significantly, and K2 is less than K1. During the storage process, there is self-discharge inside the cell, and δ1*δ2 is greater than 1, eventually μ < 1. However, when corrosion occurs in the cell, the value of K2 will increase, and the value of δ1*δ2 will also increase. At this time, the μ value of the corroded cell is larger than the μ value of the normal cell, and discrete points appear in the normal distribution of the cell. The discrete points correspond to the corroded cells.

[0107] S11. Confirm that the battery cell has not been corroded.

[0108] S12. It is determined that the battery cell has been corroded.

[0109] Optionally, after step S12, the method may further include the following steps:

[0110] S13. Remove the corroded battery cells.

[0111] This invention provides a method for detecting battery corrosion. First, the battery cell undergoes two OCV (Optical Characteristic Value) tests. The first voltage drop rate (K1) is calculated based on the results of the first OCV test (OCV1), the second OCV test (OCV2), and the formula (OCV1-OCV2) / Δt1, to screen out cells showing significant corrosion. Then, a third OCV test is performed. The second voltage drop rate (K2) is calculated based on the results of the second OCV test (OCV2), the third OCV test (OCV3), and the formula (OCV2-OCV3) / Δt2, as well as the results of the first OCV test (OCV1). The first voltage ratio δ1 of the battery cell is calculated using the result of the second OCV test (OCV2) and the formula OCV1 / OCV2. The second voltage ratio δ2 of the battery cell is calculated using the result of the second OCV test (OCV2), the result of the third OCV test (OCV3), and the formula OCV2 / OCV3. The degree of corrosion μ of the battery cell is then calculated using the formula (K2 / K1) / (δ1*δ2) to further screen out battery cells with corrosion risks. This allows for relatively accurate detection of battery cell corrosion without destructive disassembly, eliminating safety hazards. The method is simple, fast, and easy to operate, making it suitable for widespread application.

[0112] Example 2

[0113] Please see Figure 2 , Figure 2 This is a schematic flowchart of a battery corrosion detection method disclosed in an embodiment of the present invention. Based on the technical solution provided in Embodiment 1, this embodiment further optimizes step S4, "determining whether K1 is qualified." Explanations of terms that are the same as or corresponding to those in the above embodiments will not be repeated here, i.e.:

[0114] S4.1 Determine whether K1 is greater than the first set value; if yes, proceed to step S4.2; if no, proceed to step S4.3.

[0115] It should be noted that the first set value was set by technicians based on experience, which is derived from specific experimental results and can be any value. The purpose of setting the first set value is to establish a critical value so that when K1 exceeds this critical value, it can be determined that the battery cell is corroded.

[0116] S4.2 Determine that K1 is unqualified.

[0117] S4.3 Determine that K1 is qualified.

[0118] This invention provides a method for detecting battery corrosion. First, the battery cell undergoes two OCV (Optical Characteristic Value) tests. The first voltage drop rate (K1) is calculated based on the results of the first OCV test (OCV1), the second OCV test (OCV2), and the formula (OCV1-OCV2) / Δt1, to screen out cells showing significant corrosion. Then, a third OCV test is performed. The second voltage drop rate (K2) is calculated based on the results of the second OCV test (OCV2), the third OCV test (OCV3), and the formula (OCV2-OCV3) / Δt2, as well as the results of the first OCV test (OCV1). The first voltage ratio δ1 of the battery cell is calculated using the result of the second OCV test (OCV2) and the formula OCV1 / OCV2. The second voltage ratio δ2 of the battery cell is calculated using the result of the second OCV test (OCV2), the result of the third OCV test (OCV3), and the formula OCV2 / OCV3. The degree of corrosion μ of the battery cell is then calculated using the formula (K2 / K1) / (δ1*δ2) to further screen out battery cells with corrosion risks. This allows for relatively accurate detection of battery cell corrosion without destructive disassembly, eliminating safety hazards. The method is simple, fast, and easy to operate, making it suitable for widespread application.

[0119] Example 3

[0120] Please see Figure 3 , Figure 3 This is a schematic flowchart of a battery corrosion detection method disclosed in an embodiment of the present invention. Based on the technical solution provided in Embodiment 1, this embodiment further optimizes step S10, "determining whether the μ is qualified." Explanations of terms that are the same as or corresponding to those in the above embodiments will not be repeated here, namely:

[0121] S10.1 Determine whether μ is greater than the second set value; if yes, proceed to step S10.2; if no, proceed to step S10.3.

[0122] It should be noted that the second setpoint is set by technicians based on experience, which is derived from specific experimental results and can be any value. The purpose of setting the second setpoint is to establish a critical value so that when μ exceeds this critical value, corrosion of the battery cell can be determined.

[0123] The second set value can be, for example, 0.72, meaning that cells with μ > 0.72 can be identified as cells at risk of corrosion. By storing these cells at a high temperature of 60°C for 5 days to accelerate the reaction, corrosion was indeed found (cell corrosion was determined by disassembly; a black aluminum-lithium alloy appeared at the bottom of the corroded cell).

[0124] S10.2 Determine that μ is unqualified.

[0125] S10.3 Determine that μ is qualified.

[0126] This invention provides a method for detecting battery corrosion. First, the battery cell undergoes two OCV (Optical Characteristic Value) tests. The first voltage drop rate (K1) is calculated based on the results of the first OCV test (OCV1), the second OCV test (OCV2), and the formula (OCV1-OCV2) / Δt1, to screen out cells showing significant corrosion. Then, a third OCV test is performed. The second voltage drop rate (K2) is calculated based on the results of the second OCV test (OCV2), the third OCV test (OCV3), and the formula (OCV2-OCV3) / Δt2, as well as the results of the first OCV test (OCV1). The first voltage ratio δ1 of the battery cell is calculated using the result of the second OCV test (OCV2) and the formula OCV1 / OCV2. The second voltage ratio δ2 of the battery cell is calculated using the result of the second OCV test (OCV2), the result of the third OCV test (OCV3), and the formula OCV2 / OCV3. The degree of corrosion μ of the battery cell is then calculated using the formula (K2 / K1) / (δ1*δ2) to further screen out battery cells with corrosion risks. This allows for relatively accurate detection of battery cell corrosion without destructive disassembly, eliminating safety hazards. The method is simple, fast, and easy to operate, making it suitable for widespread application.

[0127] Example 4

[0128] Embodiment 4 of the present invention provides a battery corrosion detection system, the system including computer equipment. Figure 4 A block diagram of an exemplary computer device 12 suitable for implementing embodiments of the present invention is shown. Figure 4 The computer device 12 shown is merely an example and should not impose any limitation on the functionality and scope of use of the embodiments of the present invention.

[0129] like Figure 4 As shown, the computer device 12 is represented in the form of a general-purpose computing device. The components of the computer device 12 may include, but are not limited to: one or more processors or processing units 16, system memory 28, and a bus 18 connecting different system components (including system memory 28 and processing unit 16).

[0130] Bus 18 represents one or more of several bus architectures, including a memory bus or memory controller, a peripheral bus, a graphics acceleration port, a processor, or a local bus using any of the various bus architectures. For example, these architectures include, but are not limited to, the Industry Standard Architecture (ISA) bus, the Micro Channel Architecture (MAC) bus, the Enhanced ISA bus, the Video Electronics Standards Association (VESA) local bus, and the Peripheral Component Interconnect (PCI) bus.

[0131] Computer device 12 typically includes a variety of computer system readable media. These media can be any available media that can be accessed by computer device 12, including volatile and non-volatile media, removable and non-removable media.

[0132] System memory 28 may include computer system readable media in the form of volatile memory, such as random access memory (RAM) 30 and / or cache memory 32. Computer device 12 may further include other removable / non-removable, volatile / non-volatile computer system storage media. By way of example only, storage system 34 may be used to read and write non-removable, non-volatile magnetic media (…). Figure 4 Not shown; usually referred to as a "hard drive"). Although Figure 4 Not shown, a disk drive for reading and writing to a removable non-volatile disk (e.g., a "floppy disk") and an optical disk drive for reading and writing to a removable non-volatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected to bus 18 via one or more data media interfaces. Memory 28 may include at least one program product having a set (e.g., at least one) of program modules configured to perform the functions of the embodiments of the present invention.

[0133] A program / utility 40 having a set (at least one) of program modules 42 may be stored, for example, in memory 28. Such program modules 42 include, but are not limited to, an operating system, one or more application programs, other program modules, and program data. Each or some combination of these examples may include an implementation of a network environment. Program modules 42 typically perform the functions and / or methods described in the embodiments of the present invention.

[0134] Computer device 12 can also communicate with one or more external devices 14 (e.g., keyboard, pointing device, display 24, etc.), and with one or more devices that enable a user to interact with the computer device 12, and / or with any device that enables the computer device 12 to communicate with one or more other computing devices (e.g., network card, modem, etc.). This communication can be performed via input / output (I / O) interface 22. Furthermore, computer device 12 can also communicate with one or more networks (e.g., local area network (LAN), wide area network (WAN), and / or public networks, such as the Internet) via network adapter 20. As shown, network adapter 20 communicates with other modules of computer device 12 via bus 18. It should be understood that, although... Figure 4 As not shown, it can be used in conjunction with computer device 12 with other hardware and / or software modules, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems.

[0135] The processing unit 16 executes various functional applications and data processing by running programs stored in the system memory 28, such as implementing the battery corrosion detection method provided in the embodiments of the present invention.

[0136] Thus far, the description of the above embodiments has been provided for illustrative and descriptive purposes. This is not intended to be exhaustive or limiting of the present disclosure. Individual elements or features of particular embodiments are generally not limited to those particular embodiments, but may be interchanged and used in selected embodiments where applicable, even if not specifically shown or described. In many respects, the same elements or features may also be varied. Such variations are not considered a departure from this disclosure, and all such modifications are intended to be included within the scope of this disclosure.

[0137] Example embodiments are provided so that this disclosure will become thorough and will fully convey the scope to those skilled in the art. Numerous details, such as examples of specific parts, apparatus, and methods, are set forth to provide a thorough understanding of embodiments of this disclosure. It will be apparent to those skilled in the art that the specific details are not required, and the example embodiments may be implemented in many different forms, neither of which should be construed as limiting the scope of this disclosure. In some example embodiments, well-known processes, well-known apparatus structures, and well-known techniques are not described in detail.

[0138] Technical terms are used herein for the purpose of describing specific exemplary embodiments only and are not intended to be limiting. Unless the context clearly indicates otherwise, the singular forms “a” and “the” as used herein may also refer to the plural forms. The terms “comprising” and “having” are inclusive and therefore specify the presence of the stated features, integrals, steps, operations, elements, and / or components, but do not exclude the presence or additional having of one or more other features, integrals, steps, operations, elements, components, and / or combinations thereof. Unless expressly indicated in order of execution, the method steps, processes, and operations described herein are not to be construed as necessarily requiring performance in the specific order discussed and shown. It should also be understood that additional or optional steps may be employed.

[0139] When an element or layer is described as "on," "joined with," "connected to," or "linked to" another element or layer, it may be directly on, joined to, connected to, or linked to another element or layer, or there may be an element or layer in between. Conversely, when an element or layer is described as "directly on," "directly joined with," "directly connected to," or "directly linked to" another element or layer, there may not be an element or layer in between. Other terms used to describe element relationships should be interpreted in a similar manner (e.g., "between" and "directly between," "adjacent" and "directly adjacent," etc.). The term "and / or" as used herein includes any and all combinations of one or more of the associated listed items. Although the terms first, second, third, etc., may be used herein to describe various elements, components, regions, layers, and / or parts, these elements, components, regions, layers, and / or parts are not limited by these terms. These terms may be used only to distinguish one element, component, region, or part from another element, component, region, or part. Unless the context clearly indicates otherwise, the use of terms such as “first,” “second,” and other numerical terms herein does not imply sequence or order. Therefore, the terms “first element,” “component,” “region,” “layer,” or “part” discussed below may be used in the context of “second element,” “component,” “region,” “layer,” or “part” without departing from the teachings of this exemplary embodiment.

[0140] Spatial relative terms, such as “inside,” “outside,” “below,” “under,” “lower,” “above,” “upper,” etc., may be used herein for descriptive purposes to describe the relationship between one element or feature and one or more other elements or features as shown in the figure. Spatial relative terms may refer to different orientations of the device other than those depicted in the figure. For example, if the device in the figure is rotated, an element described as “below other elements or features” or “below the element or feature” will be oriented “above other elements or features.” Therefore, the example term “below” can encompass both upward and downward orientations. The device may be oriented in other ways (rotated 90 degrees or other orientations) and interpreted using the spatial relative descriptions herein.

Claims

1. A method of detecting corrosion of a battery, characterized by, The method includes: S1. The cells that have been rated for capacity are placed at a high temperature of 35℃-55℃, and the cells after high temperature placement are subjected to the first OCV test to obtain OCV1. S2. The battery cell that has been placed at high temperature is placed at room temperature at 15℃-35℃, and the battery cell after being placed at room temperature is subjected to a second OCV test to obtain OCV2. S3. Calculate the first voltage drop rate K1 of the battery cell based on OCV1, OCV2, and the following formula: K1=(OCV1-OCV2) / Δt1, where Δt1 is the time interval between the first OCV detection and the second OCV detection; S4. Determine whether K1 is qualified; if not, proceed to S12; if yes, proceed to S5. S5. Calculate the first voltage ratio δ1 of the battery cell according to the following formula: δ1 = OCV1 / OCV2; S6. The battery cell is placed at 25℃-35℃ and the placed battery cell is subjected to a third OCV test to obtain OCV3. S7. Calculate the second voltage drop rate K2 of the battery cell based on OCV2, OCV3, and the following formula: K2=(OCV2-OCV3) / Δt2, where Δt2 is the time interval between the second and third OCV detections; S8. Calculate the second voltage ratio δ2 of the battery cell according to the following formula: δ2 = OCV2 / OCV3; S9. Calculate the degree of corrosion μ of the battery cell according to the following formula: μ = (K2 / K1) / (δ1 δ2); S10. Determine whether μ is qualified; if yes, proceed to S11; if no, proceed to S12. S11. Confirm that the battery cell has not been corroded; S12. It is determined that the battery cell has been corroded.

2. The method of claim 1, wherein the battery corrosion is detected by measuring the change in the resistance of the battery. In S1, the step of subjecting the sized battery cells to high-temperature storage at 35℃-55℃ and performing a first OCV test on the cells after high-temperature storage to obtain OCV1 includes: S1.

1. Place the tested cells at a high temperature of 35℃-55℃ for 8h-72h. S1.

2. Perform the first OCV test on the battery cell after it has been placed at high temperature to obtain OCV1.

3. The method of claim 2, wherein the battery corrosion is detected by measuring the change in the resistance of the battery. In S1.1, the step of placing the sized battery cells at a high temperature of 35℃-55℃ for 8h-72h is as follows: S1.1.

1. Place the tested cells at a high temperature of 45℃ for 24 hours.

4. The method of claim 1, wherein the battery corrosion is detected by measuring the change in the resistance of the battery. In S2, the step of placing the battery cell, which has been placed at high temperature, at room temperature (15℃-35℃) and then performing a second OCV test on the battery cell after room temperature placement to obtain OCV2 includes: S2.

1. Place the battery cells that have been placed at high temperature at room temperature of 15℃-35℃ for 24h-200h. S2.

2. Perform a second OCV test on the battery cell after it has been left to stand at room temperature to obtain OCV2.

5. The method of claim 4, wherein the battery corrosion is detected by measuring the voltage of the battery. In S2.1, the step of placing the battery cell, which has been placed at high temperature, at a room temperature of 15℃-35℃ for 24h-200h is as follows: S2.1.

1. The battery cell that has been placed at high temperature is placed at room temperature of 25°C for 72 hours.

6. The method of claim 1, wherein the battery corrosion is detected by measuring a change in the resistance of the battery. In S4, the step of determining whether K1 is qualified includes: S4.1 Determine whether K1 is greater than the first set value; if yes, proceed to step S4.2; if no, proceed to step S4.

3. S4.2 Determine that K1 is unqualified; S4.3 Determine that K1 is qualified.

7. The method of claim 1, wherein the battery corrosion is detected by measuring a change in the resistance of the battery. In S6, the step of placing the battery cell at 25℃-35℃ and performing a third OCV test on the placed battery cell to obtain OCV3 includes: S6.

1. Place the battery cell at 25℃-35℃ for 24h-200h; S6.

2. Perform a third OCV test on the battery cell after it has been left idle to obtain OCV3.

8. The method of claim 7, wherein the battery corrosion is detected by measuring the voltage of the battery. In S6.1, the step of placing the battery cell at 25℃-35℃ for 24h-200h is as follows: S6.1.

1. The battery cell is placed at 25°C for 100 hours.

9. The method of claim 1, wherein the battery corrosion is detected by measuring a change in the resistance of the battery. In S10, the step of determining whether μ is qualified includes: S10.1 Determine whether μ is greater than the second set value; if yes, proceed to step S10.2; if no, proceed to step S10.

3. S10.2, Determine that μ is unqualified; S10.3 Determine that μ is qualified.

10. The method of claim 1, wherein the battery corrosion detection method is characterized by, Following S12, the method further includes: S13. Remove the corroded battery cells.

11. A battery corrosion detection system comprising a computer device, the computer device comprising a memory and a processor, the memory storing a computer program, characterized in that, When the processor executes the computer program, it implements the battery corrosion detection method as described in any one of claims 1-10.

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