A sealing detection system and control method for new energy battery pack
By designing a sealing detection system for new energy battery packs, including acquisition, analysis, determination and output modules, the detection and positioning problems of battery pack sealing problems are solved, and the effective maintenance and performance improvement of the battery pack is achieved.
Patent Information
- Application Number
- CN202411336777.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-25
- Publication Date
- 2025-02-11
- Estimated Expiration
- 2044-09-25
AI Technical Summary
The sealing problems of the battery pack lead to a degradation in service life and performance, and it is difficult for the existing technology to effectively detect and locate leakage points, affecting the normal operation of the battery pack.
A seal detection system including acquisition module, analysis module, determination module and output module is designed. By obtaining the sealing maintenance data of the battery pack, analyzing the unit leakage point pressure data, determining the maintenance interval time based on the pre-design calculation model, and Output maintenance suggestions.
Effective detection and positioning of battery pack sealing problems is achieved, ensuring maintenance before problems occur, extending the service life of the battery pack and improving performance.
Smart Images

Figure CN118882955B_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the technical field of battery pack sealing detection, and in particular to a sealing detection system for a new energy battery pack and a control method thereof. Background Art
[0002] The battery pack is a relatively important component in the energy storage system. It can provide energy to the energy storage system, supply energy to the energy storage system, and help the energy storage system maintain normal operation. Since the battery pack itself has sealing problems due to various situations, the service life and performance of the battery pack will be affected. Therefore, in the energy storage system, the battery pack will be periodically tested for sealing, and after the test, the sealing problems in the battery pack will be located and repaired accordingly. Therefore, it is necessary to perform sealing tests on the battery pack. Summary of the invention
[0003] In order to solve the above technical problems, the present application provides a sealing detection system for a new energy battery pack and a control method thereof.
[0004] In a first aspect, the present application provides a sealing detection system for a new energy battery pack, comprising an acquisition module, an analysis module, a determination module and an output module:
[0005] The acquisition module is used to acquire battery pack sealing inspection data, and the battery pack sealing inspection data includes detection time data, detection pressure data and leakage point quantity data;
[0006] The analysis module is used to obtain unit leakage point pressure data according to the battery pack sealing inspection data;
[0007] The determination module is used to determine the maintenance interval between the next maintenance work and the previous maintenance work based on the preset calculation model and the unit leakage point pressure data and the battery pack sealing maintenance data;
[0008] The output module is used to output maintenance suggestions according to the maintenance interval duration.
[0009] Furthermore, the determination module is further configured such that the calculation method of the maintenance interval duration includes:
[0010]
[0011] In the formula, is the maintenance interval length, This is the test pressure data from the previous maintenance work. The number of leak points in the previous inspection. It is the unit leakage point pressure data during the previous maintenance work. is the preset unit leakage point pressure threshold, is the change in the number of leakage points per unit time, is the pre-acquired pressure change per unit time, is the preset interval length, express Pick and The minimum value in .
[0012] Furthermore, the determination module is further configured such that the calculation method of the detection pressure change per unit time includes:
[0013]
[0014] In the formula, is the pre-acquired pressure change per unit time, It is the speed base change that reflects the speed of change of the detection pressure within the preset time. The velocity influence coefficient calculated for the detected pressure data within a preset time.
[0015] Furthermore, the determination module is further configured such that the method for calculating the speed basic variation includes:
[0016] Assume that the number of detections within the preset time is s, i takes the value of 1-s, and the smaller i is, the closer it is to the current time. The pressure detection data obtained by the i-th detection is , the number of leakage points obtained from the i-th detection is , the unit leakage point pressure data corresponding to the i-th detection is , the detection time corresponding to the i-th maintenance work is ,but, .
[0017] Furthermore, the determination module is further configured such that the calculation method of the speed coefficient includes:
[0018] Assume that n detection tasks have been performed within the preset time before the current moment, and n detection tasks correspond to n unit leakage point pressure data. The i-th unit leakage point pressure data is , the timestamp carried by the i-th synthetic deviation is , the smaller i is, the closer it is to the current moment;
[0019] A pressure change rate is calculated based on the pressure data of each two adjacent unit leakage points. There are n-1 pressure change rates in total, and the i-th pressure change rate is , the most recent pressure change rate is ,but , -1;
[0020] judge Are the signs of the same?
[0021] If so, then ,otherwise , where u is greater than 0 The number of y is not greater than 0 The number of , , All are preset coefficients greater than 0.
[0022] Furthermore, the determination module is further configured such that the method for calculating the change in the number of leakage points per unit time includes:
[0023]
[0024] In the formula, is the change in the number of leakage points per unit time, The number of leak points in the previous inspection. is the proportional coefficient of the preset leakage point quantity change, and .
[0025] In a second aspect, the present application provides a control method for a sealing detection system for a new energy battery pack, the method comprising:
[0026] Acquire battery pack sealing inspection data, wherein the battery pack sealing inspection data includes detection time data, detection pressure data, and leakage point quantity data;
[0027] Obtaining unit leakage point pressure data according to the battery pack sealing inspection data analysis;
[0028] Based on a preset calculation model, determining the maintenance interval between the next maintenance work and the previous maintenance work according to the unit leakage point pressure data and the battery pack sealing maintenance data;
[0029] Output maintenance suggestions according to the maintenance interval duration.
[0030] Further, the determining of the maintenance interval between the next maintenance work and the previous maintenance work based on the preset calculation model and according to the unit leakage point pressure data and the battery pack sealing maintenance data includes:
[0031]
[0032] In the formula, is the maintenance interval length, This is the test pressure data from the previous maintenance work. The number of leak points in the previous inspection. It is the unit leakage point pressure data during the previous maintenance work. is the preset unit leakage point pressure threshold, is the change in the number of leakage points per unit time, is the pre-acquired pressure change per unit time, is the preset interval length, express Pick and The minimum value in .
[0033] Furthermore, it also includes:
[0034]
[0035] In the formula, is the pre-acquired pressure change per unit time, It is the speed base change that reflects the speed of change of the detection pressure within the preset time. The velocity influence coefficient calculated for the detected pressure data within a preset time.
[0036] Furthermore, it also includes:
[0037] Assume that the number of detections within the preset time is s, i takes the value of 1-s, and the smaller i is, the closer it is to the current time. The pressure detection data obtained by the i-th detection is , the number of leakage points obtained from the i-th detection is , the unit leakage point pressure data corresponding to the i-th detection is , the detection time corresponding to the i-th maintenance work is ,but, .
[0038] It should be understood that the contents described in the Summary of the Invention are not intended to limit the key or important features of the embodiments of the present application, nor are they intended to limit the scope of the present application. Other features of the present application will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS
[0039] The above and other features, advantages and aspects of the embodiments of the present application will become more apparent with reference to the following detailed description in conjunction with the accompanying drawings. In the accompanying drawings, the same or similar reference numerals represent the same or similar elements, wherein:
[0040] Figure 1 A block diagram of a sealing detection system for a new energy battery pack in an embodiment of the present application is shown;
[0041] Figure 2 A flow chart of a control method for a sealing detection system for a new energy battery pack in an embodiment of the present application is shown. DETAILED DESCRIPTION
[0042] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.
[0043] In addition, the term "and / or" in this article is only a description of the association relationship between the associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship.
[0044] The present application provides a sealing detection system and control method for a new energy battery pack, which can determine the periodic detection interval length of the battery pack sealing detection to ensure that the battery pack is tested before the battery pack has sealing problems.
[0045] In a first aspect, the present application provides a sealing detection system for a new energy battery pack; Figure 1 As shown, the system includes an acquisition module 110, an analysis module 120, a determination module 130 and an output module 140; the acquisition module 110 is used to acquire battery pack sealing maintenance data, and the battery pack sealing maintenance data includes detection time data, detection pressure data and leakage point quantity data; the analysis module 120 is used to obtain unit leakage point pressure data according to the battery pack sealing maintenance data analysis; the determination module 130 is used to determine the maintenance interval duration between the next maintenance work and the previous maintenance work based on the preset calculation model, the unit leakage point pressure data and the battery pack sealing maintenance data; the output module 140 is used to output maintenance suggestions according to the maintenance interval duration.
[0046] In the embodiment of the present application, the battery pack in the energy storage system needs to undergo periodic sealing inspection to detect the sealing of the battery pack, find the leakage point of the battery pack, and perform subsequent positioning and repair work on the leakage point.
[0047] It is understandable that in the past, when the battery pack was inspected and repaired, the positive pressure method was generally used to detect the sealing of the battery pack. The battery pack was inflated and the pressure data of the battery pack was detected, so as to analyze whether the battery pack had a sealing problem. The positive pressure method here is a conventional detection method in the field and will not be repeated here. After the battery pack is detected to have a sealing problem, the leakage point of the battery pack will be located and repaired. Generally speaking, when a battery pack has a leakage problem, the leakage site will be reflected in the form of a leakage point. Here, it is assumed that the leakage site of the battery pack is the leakage point. When a battery pack has a leakage problem, it may be that there are one or more leakage points in the battery pack, which causes the air pressure of the battery pack to change. After the inspection and maintenance work is completed, the pressure data and the number of leakage points mentioned above will be recorded and uploaded to the database, waiting for the acquisition module to obtain the corresponding data from the database.
[0048] After the detection pressure data and the leakage point quantity data are obtained, the result of dividing the two is the pressure data representing each leakage point.
[0049] In the embodiment of the present application, the determination module 130 is further configured to calculate the maintenance interval duration by:
[0050]
[0051] In the formula, is the maintenance interval length, This is the test pressure data from the previous maintenance work. The number of leak points in the previous inspection. It is the unit leakage point pressure data during the previous maintenance work. is the preset unit leakage point pressure threshold, is the change in the number of leakage points per unit time, is the pre-acquired pressure change per unit time, is the preset interval length, express Pick and It can be understood that the preset unit leakage point pressure threshold here indicates that there is a problem with the sealing of the battery pack and maintenance work is required; the preset interval time here is the longest maintenance interval time, that is, when this time is reached, routine maintenance is required regardless of the state of the battery pack.
[0052] Furthermore, the determination module 130 is further configured such that the calculation method of the detection pressure change per unit time includes:
[0053]
[0054] In the formula, is the pre-acquired pressure change per unit time, It is the speed base change that reflects the speed of change of the detection pressure within the preset time. The velocity influence coefficient calculated for the detected pressure data within a preset time.
[0055] Furthermore, the determination module 130 is further configured such that the method for calculating the speed basic variation includes:
[0056] Assume that the number of detections within the preset time is s, i takes the value of 1-s, and the smaller i is, the closer it is to the current time. The pressure detection data obtained by the i-th detection is , the number of leakage points obtained from the i-th detection is , the unit leakage point pressure data corresponding to the i-th detection is , the detection time corresponding to the i-th maintenance work is ,but, .
[0057] Furthermore, the determination module 130 is further configured such that the speed coefficient calculation method includes:
[0058] Assume that n detection tasks have been performed within the preset time before the current moment, and n detection tasks correspond to n unit leakage point pressure data. The i-th unit leakage point pressure data is , the timestamp carried by the i-th synthetic deviation is , the smaller i is, the closer it is to the current moment;
[0059] A pressure change rate is calculated based on the pressure data of each two adjacent unit leakage points. There are n-1 pressure change rates in total, and the i-th pressure change rate is , the most recent pressure change rate is ,but , -1;
[0060] judge Are the signs of the same?
[0061] If so, then ,otherwise , where u is greater than 0 The number of y is not greater than 0 The number of , , All are preset coefficients greater than 0.
[0062] Furthermore, the determination module 130 is further configured such that the calculation method of the change in the number of leakage points per unit time includes:
[0063]
[0064] In the formula, is the change in the number of leakage points per unit time, The number of leak points in the previous inspection. is the proportional coefficient of the preset leakage point quantity change, and .
[0065] It can be understood that in the embodiment of the present application, as the repair work increases, the number of leakage points also increases. For the convenience of calculation, the change in the number of leakage points is represented in the form of a proportional coefficient.
[0066] After obtaining the maintenance interval duration, corresponding maintenance suggestions can be obtained based on the maintenance interval duration. The maintenance suggestions here include the recommended maintenance time and the number of possible leakage points.
[0067] By adopting the above technical solution, it is possible to determine the maintenance interval length, ensuring that the battery pack is repaired before the battery pack has any sealing problems.
[0068] It should be noted that, for the aforementioned method embodiments, for the sake of simplicity of description, they are all expressed as a series of action combinations, but those skilled in the art should be aware that the present application is not limited by the described order of actions, because according to the embodiments of the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all optional embodiments, and the actions and modules involved are not necessarily required by the present application.
[0069] In a second aspect, the present application provides a control method for a sealing detection system for a new energy battery pack. Figure 2 The specific steps of the method are as follows.
[0070] Step S210: Acquire battery pack sealing inspection data, wherein the battery pack sealing inspection data includes detection time data, detection pressure data, and leakage point quantity data.
[0071] Step S220: Obtain unit leakage point pressure data based on the battery pack sealing inspection data analysis.
[0072] Step S230: Based on a preset calculation model, determine the maintenance interval between the next maintenance work and the previous maintenance work according to the unit leakage point pressure data and the battery pack sealing maintenance data.
[0073] Step S240: Outputting maintenance suggestions according to the maintenance interval duration.
[0074] Specifically, the determining the maintenance interval between the next maintenance work and the previous maintenance work based on the preset calculation model and according to the unit leakage point pressure data and the battery pack sealing maintenance data includes:
[0075]
[0076] In the formula, is the maintenance interval length, This is the test pressure data from the previous maintenance work. The number of leak points in the previous inspection. It is the unit leakage point pressure data during the previous maintenance work. is the preset unit leakage point pressure threshold, is the change in the number of leakage points per unit time, is the pre-acquired pressure change per unit time, is the preset interval length, express Pick and The minimum value in .
[0077] in,
[0078]
[0079] In the formula, is the pre-acquired pressure change per unit time, It is the speed base change that reflects the speed of change of the detection pressure within the preset time. The velocity influence coefficient calculated for the detected pressure data within a preset time.
[0080] Here, let the number of detections within the preset time be s, i is 1-s, and the smaller i is, the closer it is to the current time. The pressure detection data obtained by the i-th detection is , the number of leakage points obtained from the i-th detection is , the unit leakage point pressure data corresponding to the i-th detection is , the detection time corresponding to the i-th maintenance work is ,but, .
[0081] Among them, suppose that n detection tasks have been performed within the preset time before the current moment, and n detection tasks correspond to n unit leakage point pressure data. The i-th unit leakage point pressure data is , the timestamp carried by the i-th synthetic deviation is , the smaller i is, the closer it is to the current moment;
[0082] A pressure change rate is calculated based on the pressure data of each two adjacent unit leakage points. There are n-1 pressure change rates in total, and the i-th pressure change rate is , the most recent pressure change rate is ,but , -1;
[0083] judge Are the signs of the same?
[0084] If so, then ,otherwise , where u is greater than 0 The number of y is not greater than 0 The number of , , All are preset coefficients greater than 0.
[0085] in,
[0086]
[0087] In the formula, is the change in the number of leakage points per unit time, The number of leak points in the previous inspection. is the proportional coefficient of the preset leakage point quantity change, and .
[0088] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the described device can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.
[0089] The above description is only a preferred embodiment of the present application and an explanation of the technical principles used. Those skilled in the art should understand that the scope of disclosure involved in the present application is not limited to the technical solution formed by a specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the aforementioned disclosed concept. For example, the above features are replaced with the technical features with similar functions disclosed in this application (but not limited to) by each other to form a technical solution.
Claims
1. A sealing detection system for new energy battery packs, characterized in that: It includes an acquisition module (110), an analysis module (120), a determination module (130) and an output module (140): The acquisition module (110) is used to acquire battery pack sealing inspection data, wherein the battery pack sealing inspection data includes detection time data, detection pressure data and leakage point quantity data; The analysis module (120) is used to obtain unit leakage point pressure data based on the battery pack sealing inspection data; The determination module (130) is used to determine the maintenance interval between a subsequent maintenance work and a previous maintenance work based on a preset calculation model and according to the unit leakage point pressure data and the battery pack sealing maintenance data; The output module (140) is used to output maintenance suggestions according to the maintenance interval duration; The determination module (130) is further configured such that the calculation method of the maintenance interval duration includes: Where, T J is the maintenance interval, P is the detection pressure data of the previous maintenance work, M is the number of leakage points data of the previous detection work, is the unit leakage point pressure data during the previous maintenance work, G Δ is the preset unit leakage point pressure threshold, v m is the change in the number of leakage points per unit time, v p is the pre-acquired pressure change per unit time, T Δ is the preset interval length, a=(b, c) min Indicates that a takes the minimum value of b and c.
2. The sealing detection system for new energy battery pack according to claim 1, characterized in that: The determination module (130) is further configured such that the calculation method of the detection pressure change per unit time comprises: in p =Δv×K In the formula, v p is the pre-acquired detection pressure change per unit time, Δv is the speed base change reflecting the detection pressure change speed within the preset time, and K is the speed influence coefficient calculated for the detection pressure data within the preset time.
3. The sealing detection system for new energy battery pack according to claim 2 is characterized in that: The determination module (130) is further configured such that the method for calculating the speed basic variation comprises: Assume that the number of detections within the preset time is s, i is 1-s, the smaller i is, the closer to the current time, and the pressure detection data obtained by the i-th detection is p i , the number of leakage points obtained from the i-th detection is m i , the unit leakage point pressure data corresponding to the i-th detection is The inspection time corresponding to the i-th maintenance work is t i ,but, 4. The sealing detection system for new energy battery pack according to claim 3 is characterized in that: The determination module (130) is further configured such that the method for calculating the speed influence coefficient includes: Assume that n detection tasks have been performed within the preset time before the current moment, and n detection tasks correspond to n unit leakage point pressure data. The i-th unit leakage point pressure data is The timestamp carried by the i-th synthetic deviation is t i , the smaller i is, the closer it is to the current moment; Calculate a pressure change rate based on the pressure data of each two adjacent unit leakage points. There are n-1 pressure change rates in total, and the i-th pressure change rate is v i , the most recent pressure change rate is v1, then Judgement i Are the signs of the same? If so, then otherwise In the formula, u is v greater than 0 i The number of y is v not greater than 0 i , i=1,2,...n-1, k1 and k2 are both preset coefficients greater than 0.
5. The sealing detection system for new energy battery pack according to claim 4 is characterized in that: The determination module (130) is further configured such that the method for calculating the change in the number of leakage points per unit time comprises: in m =M×H In the formula, v m is the change in the number of leakage points per unit time, M is the number of leakage points during the previous detection, H is the preset leakage point number change ratio coefficient, and 0 <H<1。 6. A control method for a sealing detection system for a new energy battery pack, applicable to the sealing detection system for a new energy battery pack according to any one of claims 1 to 5, characterized in that: include: Acquire battery pack sealing inspection data, wherein the battery pack sealing inspection data includes detection time data, detection pressure data, and leakage point quantity data; Obtaining unit leakage point pressure data according to the battery pack sealing inspection data analysis; Based on a preset calculation model, determining the maintenance interval between the next maintenance work and the previous maintenance work according to the unit leakage point pressure data and the battery pack sealing maintenance data; Outputting maintenance suggestions according to the maintenance interval duration; The determining of the maintenance interval between the next maintenance work and the previous maintenance work based on the preset calculation model and the unit leakage point pressure data and the battery pack sealing maintenance data includes: Where, T J is the maintenance interval, P is the detection pressure data of the previous maintenance work, M is the number of leakage points data of the previous detection work, is the unit leakage point pressure data during the previous maintenance work, G Δ is the preset unit leakage point pressure threshold, v m is the change in the number of leakage points per unit time, v p is the pre-acquired pressure change per unit time, T Δ is the preset interval length, a=(b, c) min Indicates that a takes the minimum value of b and c.
7. The control method for the sealing detection system for new energy battery pack according to claim 6, characterized in that: Also includes: in p =Δv×K In the formula, v p is the pre-acquired detection pressure change per unit time, Δv is the speed base change reflecting the detection pressure change speed within the preset time, and K is the speed influence coefficient calculated for the detection pressure data within the preset time.
8. The control method for the sealing detection system for new energy battery pack according to claim 7, characterized in that: Also includes: Assume that the number of detections within the preset time is s, i is 1-s, the smaller i is, the closer to the current time, and the pressure detection data obtained by the i-th detection is p i , the number of leakage points obtained from the i-th detection is m i , the unit leakage point pressure data corresponding to the i-th detection is The inspection time corresponding to the i-th maintenance work is t i ,but,
Citation Information
Patent Citations
Method for determining maintenance cycle of incompletely maintained urban rail equipment
CN114971401A
Intelligent home elevator based on Internet of Things and detection method
CN115557349A