Electrolyte leakage rate detection method and system
By collecting and filtering current signal points and calculating the leakage rate of the electrolyte, the complex and low efficiency of leakage detection of power batteries in the prior art is solved, and higher detection accuracy and efficiency are achieved.
Patent Information
- Application Number
- CN202411430395.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-10-14
- Publication Date
- 2025-02-25
AI Technical Summary
The existing power battery leakage detection methods are complex in calculations and cumbersome in data processing steps, which affect detection efficiency and accuracy.
A method and system for detecting leakage rate of electrolyte is proposed. By collecting current signal points, filtering effective data points, calculating the final current value, and obtaining the leakage rate value based on the correspondence between the pre-calibrated current value and the leakage rate value.
The calculation steps are simplified, the calculation accuracy of leakage rate value is improved, the accuracy and stability of electrolyte leakage rate detection is effectively improved, and the detection efficiency is improved.
Smart Images
Figure CN119509859A_ABST
Abstract
Description
Technical Field
[0001] The present disclosure relates to the technical field of battery detection, and in particular to an electrolyte leakage rate detection method and system. Background Art
[0002] In the new energy vehicle industry, the performance of the power battery directly affects the safety of the entire vehicle. Poor sealing performance of the power battery is the main source of safety hazards for new energy vehicles. Even a tiny leak can cause the battery to spontaneously combust, so the detection of power battery leakage is extremely important.
[0003] At present, the quadruple mass spectrometry technology is used to detect and analyze the leakage of power batteries. Compared with traditional leak detection technologies such as helium mass spectrometry leak detection, it can directly analyze the electrolyte components of battery leakage, greatly improving the detection level of battery leakage. However, the calculation is complex and the data processing steps are cumbersome, which affects the detection efficiency and accuracy. Summary of the invention
[0004] In view of the above problems, the present disclosure proposes an electrolyte leakage rate detection method and system.
[0005] In order to solve at least one of the above technical problems, the present disclosure proposes the following technical solutions:
[0006] In a first aspect, a method for detecting electrolyte leakage rate is provided, the method comprising:
[0007] Collect current signal points,
[0008] Filter the current signal points to obtain valid data points;
[0009] The final current value is calculated based on the valid data points;
[0010] The leakage rate value is obtained according to the calculated final current value and the correspondence between the pre-calibrated current value and the leakage rate value.
[0011] In a second aspect, an electrolyte leakage rate detection system is provided, which is used to perform any of the above-mentioned electrolyte leakage rate detection methods, and the system includes:
[0012] Current acquisition module, used to collect current signal points;
[0013] A signal filtering module is used to filter the current signal points collected by the current collection module to obtain valid data points;
[0014] A current value calculation module is used to calculate the final current value based on the valid data points obtained after filtering;
[0015] The leakage rate value calculation module is used to obtain the leakage rate value according to the calculated final current value and the corresponding relationship between the pre-calibrated current value and the leakage rate value.
[0016] In a third aspect, an electrolyte leakage rate detection device is provided, which includes at least one processor and a memory communicatively connected to the at least one processor, wherein the memory stores at least one instruction, at least one program, code set or instruction set, and the at least one instruction, at least one program, code set or instruction set is loaded by the processor and executes any of the above-mentioned electrolyte leakage rate detection methods disclosed herein.
[0017] In a fourth aspect, a computer-readable storage medium is provided, in which at least one instruction, at least one program, code set or instruction set is stored, and the at least one instruction, at least one program, code set or instruction set is loaded and executed by a processor to execute any of the above-mentioned electrolyte leakage rate detection methods disclosed herein.
[0018] The beneficial effect of the present disclosure is that while simplifying the calculation steps, the calculation accuracy of the leakage rate value is improved, the accuracy of electrolyte leakage rate detection is effectively improved, and the detection efficiency is improved.
[0019] In addition, in the technical solution disclosed in the present invention, unless otherwise specified, the technical solution can be implemented by adopting conventional means in the art. BRIEF DESCRIPTION OF THE DRAWINGS
[0020] In order to more clearly illustrate the specific embodiments of the present disclosure or the technical solutions in the prior art, the drawings required for use in the specific embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present disclosure. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.
[0021] Figure 1 A flow chart of an electrolyte leakage rate detection method provided by one embodiment of the present disclosure.
[0022] Figure 2 A schematic diagram of the structure of an electrolyte leakage rate detection system provided in one embodiment of the present disclosure. DETAILED DESCRIPTION
[0023] In order to make the purpose, technical solutions and advantages of the present disclosure more clearly understood, the present disclosure is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are part of the embodiments of the present disclosure, rather than all of the embodiments, and are only used to explain the present disclosure, and are not used to limit the present disclosure. Based on the embodiments in the present disclosure, all other embodiments obtained by ordinary technicians in the field without making creative work are within the scope of protection of the present disclosure.
[0024] It should be noted that the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or server that includes a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units that are not explicitly listed or are inherent to these processes, methods, products or devices.
[0025] Embodiment 1:
[0026] Reference Manual Attached Figure 1 , shows an electrolyte leakage rate detection method provided by an embodiment of the present application, the method comprising:
[0027] S1: Current signal collection point.
[0028] S2: Filter the current signal points to obtain valid data points.
[0029] S3: Calculate the final current value based on the valid data points.
[0030] S4: Obtaining the leakage rate value according to the calculated final current value and the correspondence between the pre-calibrated current value and the leakage rate value.
[0031] In an optional embodiment, in S2, filtering the current signal points to obtain valid data points may include the following steps:
[0032] The collected current signal points are divided into several data sets according to preset rules.
[0033] The current signal points in each divided data set are filtered respectively to obtain valid data points.
[0034] Among them, the preset rule can be that the collected current signal points are sorted according to the collection time, and every n current signal points constitute a data set. The value range of n can be set according to the actual detection accuracy requirements, and n is a natural number.
[0035] Therefore, by dividing the current signal points into several data sets, on the one hand, the difficulty of data processing is reduced and the data processing efficiency is improved, and on the other hand, the flexibility of data management is improved.
[0036] Filtering the current signal points in each data set includes the following steps:
[0037] Calculate the mean of the data in the dataset
[0038] According to the data mean Calculate the discreteness of each current signal point in the current data set. The calculation formula for discreteness is: Among them, Xi Represents the current signal point in the data set, i = 1, 2, 3...n;
[0039] According to the preset filtering ratio K and the number of current signal points n in the current data set, the number of filtered current signal points is calculated as K*n, K<1, n is a natural number greater than 1,
[0040] The calculated discreteness is sorted, and the corresponding current signal points are removed in descending order of discreteness according to the number of current signal points to be filtered;
[0041] The remaining current signal points in the filtered data set are valid data points.
[0042] Therefore, the collected current signal points are processed to remove the noise points in the data set to obtain the valid data points required for subsequent calculations, thereby improving the accuracy and stability of the detection structure.
[0043] In S3, calculating the final current value according to the valid data points may include the following steps:
[0044] Obtain all valid data points and draw a current curve based on the valid data points, where the horizontal axis of the current curve is the sampling time and the vertical axis is the current value;
[0045] Select at least two valid data points on the current curve according to the pre-set rules.
[0046] Calculate the mean of the selected valid data points, which is the final current value.
[0047] The pre-set rules are:
[0048] A point on the current curve where the current value is not less than 90% of the maximum current value on the current curve; or a point on the current curve where the sampling time is not less than 85% of the maximum sampling time on the current curve; or a point on the current curve where the current value is not less than 90% of the maximum current value on the current curve and the sampling time is not less than 85% of the maximum sampling time on the current curve.
[0049] Therefore, the valid data points obtained in S2 are screened again to remove the valid data points that may affect the test results, thereby further improving the stability and reliability of the test results.
[0050] In S4, the calibration process of the corresponding relationship between the current value and the leakage rate value may include the following steps:
[0051] Sampling the current environment to obtain the environmental background value I0,
[0052] Sampling the standard leak hole with leakage rate value Q1, and obtaining the standard leak hole current value I1,
[0053] According to the environmental background value I0 and the standard leakage current value I1, the coefficient M is calculated. The calculation formula is Q=M(I-I0)+Q0, where Q0 represents the minimum accuracy of the sampling device. Substitute Q1 and I1 into the formula to obtain the coefficient M.
[0054] Thus, the corresponding relationship between the current value and the leakage rate value is obtained, and the leakage rate value can be obtained by substituting the final current value calculated in S3 into it.
[0055] The beneficial effects of the present disclosure are to simplify the calculation steps, improve the calculation accuracy of the leakage rate value, effectively improve the accuracy and stability of electrolyte leakage rate detection, and improve the detection efficiency.
[0056] Embodiment 2:
[0057] The present application also provides an electrolyte leakage rate detection system, which is used to perform any of the above-mentioned electrolyte leakage rate detection methods, including:
[0058] A current acquisition module 11 is used to acquire current signal points;
[0059] The signal filtering module 12 is used to filter the current signal points collected by the current collection module to obtain valid data points;
[0060] A current value calculation module 13 is used to calculate the final current value according to the valid data points obtained after filtering;
[0061] The leakage rate value calculation module 14 is used to obtain the leakage rate value according to the calculated final current value and the correspondence between the pre-calibrated current value and the leakage rate value.
[0062] The beneficial effects of the present disclosure are to simplify the calculation steps, improve the calculation accuracy of the leakage rate value, effectively improve the accuracy and stability of electrolyte leakage rate detection, and improve the detection efficiency.
[0063] The system provided in this embodiment, when implementing its functions, only uses the division of the above-mentioned functional modules as an example. In actual applications, the above-mentioned functions can be assigned to different functional modules as needed, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. In addition, the system and method embodiments provided in the above embodiments belong to the same concept, and the specific implementation process is detailed in the method embodiment, which will not be repeated here.
[0064] Embodiment 3:
[0065] The present application provides an electrolyte leakage rate detection device, which includes:
[0066] One or more processors and memory.
[0067] As a non-volatile computer-readable storage medium, the memory can be used to store non-volatile software programs, non-volatile computer executable programs and modules, such as program instructions / modules corresponding to the electrolyte leakage rate detection method in the embodiment of the present application. The processor executes various functional applications and data processing of the server by running the non-volatile software programs, instructions and modules stored in the memory, that is, the electrolyte leakage rate detection method of the above method embodiment is realized.
[0068] The memory may include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required for at least one function; the data storage area may store data created according to the use of the electrolyte leakage rate detection system, etc. In addition, the memory may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one disk storage device, a flash memory device, or other non-volatile solid-state storage device. In some embodiments, the memory may optionally include a memory remotely arranged relative to the processor, and these remote memories may be connected to the electrolyte leakage rate detection system via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.
[0069] One or more modules are stored in the memory, and when executed by one or more processors, the electrolyte leakage rate detection method in any of the above method embodiments is executed.
[0070] The above device can execute the method provided in the embodiment of the present application, and has the functional modules and beneficial effects corresponding to the execution method. For technical details not described in detail in this embodiment, please refer to the method provided in the embodiment of the present application.
[0071] Embodiment 4:
[0072] On the other hand, embodiment 4 of the present disclosure provides a computer-readable storage medium, which stores one or more programs including execution instructions. The execution instructions can be read and executed by a device (including but not limited to a computer, a server or a network device, etc.) to execute the relevant steps in the above method embodiments.
[0073] The embodiments described above are merely illustrative, wherein the units or modules described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, and may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art may understand and implement it without creative effort.
[0074] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, or of course by hardware. Based on this understanding, the above technical solution, in essence or in other words, the part that contributes to the prior art, can be expressed in the form of a software product, which can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which may be a personal computer, a server or a network device, etc.) to execute the methods of each embodiment or some parts of the embodiment.
[0075] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present disclosure, rather than to limit them. Although the present disclosure has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not make the corresponding technical solutions essentially deviate from the spirit and scope of the technical solutions of the embodiments of the present disclosure.
Claims
1. An electrolyte leakage rate detection method, characterized in that: Collect current signal points, Filter the current signal points to obtain valid data points; The final current value is calculated based on the valid data points; The leakage rate value is obtained according to the calculated final current value and the correspondence between the pre-calibrated current value and the leakage rate value.
2. The electrolyte leakage rate detection method according to claim 1, characterized in that: The current signal points are filtered to obtain valid data points including: The collected current signal points are divided into several data sets, and the current signal points in each data set are filtered to obtain valid data points. The filtering of the current signal points in each data set includes: Calculate the mean of the data in the data set; Calculate the discreteness of each current signal point in the current data set according to the data mean; According to the preset filtering ratio K and the number of current signal points n in the current data set, the number of filtered current signal points is calculated as K*n, K<1, n is a natural number greater than 1, The calculated discreteness is sorted, and the corresponding current signal points are removed in descending order of discreteness according to the number of current signal points to be filtered; The remaining current signal points in the filtered data set are valid data points.
3. The electrolyte leakage rate detection method according to claim 1, characterized in that: The calculation of the final current value according to the valid data points includes: Obtain all valid data points, and draw a current curve according to the valid data points, wherein the abscissa of the current curve is the sampling time, and the ordinate is the current value; Select at least two valid data points on the current curve according to the pre-set rules. Calculate the mean of the selected valid data points, which is the final current value.
4. The electrolyte leakage rate detection method according to claim 3, characterized in that: The pre-set rules are: A point on the current curve where the current value is not less than 90% of the maximum current value on the current curve; and / or, The point on the current curve where the sampling time is not less than 85% of the maximum value of the sampling time on the current curve.
5. The electrolyte leakage rate detection method according to claim 1, characterized in that: The calibration of the corresponding relationship between the current value and the leakage rate value includes: Sampling the current environment to obtain the environmental background value I0, Sampling the standard leak hole with leakage rate value Q1, and obtaining the standard leak hole current value I1, According to the environmental background value I0 and the standard leakage current value I1, the coefficient M is calculated. The calculation formula is Q=M(I-I0)+Q0, where Q0 represents the minimum accuracy of the sampling device. Substitute Q1 and I1 into the formula to obtain the coefficient M.
6. An electrolyte leakage rate detection system, used to perform the electrolyte leakage rate detection method according to any one of claims 1 to 5, characterized in that: include, Current acquisition module, used to collect current signal points; A signal filtering module is used to filter the current signal points collected by the current collection module to obtain valid data points; A current value calculation module is used to calculate the final current value based on the valid data points obtained after filtering; The leakage rate value calculation module is used to obtain the leakage rate value according to the calculated final current value and the corresponding relationship between the pre-calibrated current value and the leakage rate value.
7. An electrolyte leakage rate detection device, characterized in that: The device includes a processor and a memory, wherein the memory stores at least one instruction, at least one program, a code set or an instruction set, and the at least one instruction, the at least one program, the code set or the instruction set is loaded and executed by the processor to implement the electrolyte leakage rate detection method as described in any one of claims 1 to 5.
8. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores at least one instruction, at least one program, a code set or an instruction set, and the at least one instruction, the at least one program, the code set or the instruction set is loaded and executed by the processor to implement the electrolyte leakage rate detection method described in any one of claims 1-5.