Power battery welding detection system and working method thereof

Through the high-precision magnetic field sensor and the upper mechanism, the problem of low welding detection efficiency of power batteries caused by low pass filters is solved, and fast and accurate welding detection is achieved.

CN120507656APending Publication Date: 2025-08-19HAORUI TESTING TECHNOLOGY (SUZHOU) CO LTD
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Patent Information

Application Number
CN202510677423.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-05-26
Publication Date
2025-08-19

AI Technical Summary

Technical Problem

In the prior art, the high order of the low-pass filter results in a long welding detection time and low efficiency of the power battery, and it is impossible to efficiently detect the welding quality of each power battery.

Method used

High-precision magnetic field sensors are used to obtain the detection curve, and a comparison model is built through the upper mechanism, and the coordinate system is used to compare the detection curves to judge the status of the welding position and improve the detection efficiency.

Benefits of technology

It realizes rapid and accurate detection of the welding position of the power battery, improves detection efficiency and reduces detection time.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention belongs to the technical field of detection, and particularly relates to measurement of magnetic variables, in particular to a power battery welding detection system and a working method thereof. The high-precision magnetic field sensor is electrically connected with the control module and is configured to detect a welding spot to obtain a detection curve; and the upper computer is configured to receive the detection curve sent by the control module and perform comparison processing on the detection curve through a comparison model so as to judge the state of the detection curve, so that rapid and accurate detection of the welding position is realized, and the detection efficiency of the power battery is improved.
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Description

Technical Field

[0001] The present invention belongs to the field of detection technology, specifically relates to measuring magnetic variables, and more particularly to a working method of a power battery welding detection system. Background Art

[0002] like Figure 1 As shown, the power battery needs to be welded, and the quality status of the weld needs to be detected after welding. In the related technology, a multi-dimensional electromagnetic scanning detection system is used to detect the weld, wherein a low-pass filter needs to be set to process the detection curve. However, the higher the order of the low-pass filter, the higher the detection accuracy but the longer the detection time. The lower the order, the shorter the detection time but the lower the detection accuracy. When detecting the quality of the weld, each power battery needs to be tested. Due to the influence of the low-pass filter performance, the power battery detection takes a lot of time and the detection efficiency is low.

[0003] Therefore, due to the technical problem that the low-pass filter causes low power battery detection efficiency, it is necessary to design a power battery welding detection system and its working method.

[0004] It should be noted that the above information disclosed in this background technology section is only used to understand the background technology of the present application concept, and therefore, the above description is not considered to constitute information of the prior art. Summary of the Invention

[0005] The embodiments of the present disclosure at least provide a power battery welding detection system and a working method thereof.

[0006] In a first aspect, an embodiment of the present disclosure provides a power battery welding detection system, comprising: Control module; a high-precision magnetic field sensor, electrically connected to the control module and configured to detect the welding point to obtain a detection curve; The host computer is configured to receive the detection curve sent by the control module and perform comparison processing on the detection curve through the comparison model to determine the state of the detection curve.

[0007] In an optional embodiment, the host computer is configured to construct a comparison model based on a number of preset standard curves, that is, importing a good welding standard curve, a partially good welding standard curve, a welding penetration standard curve, and an abnormal welding penetration standard curve corresponding to each material into the same coordinate system to form a comparison model; The X-axis of the coordinate system is time, and the Y-axis is the magnetic field intensity.

[0008] In an optional embodiment, the host computer is configured to perform comparison processing on the detection curve through a comparison model, that is, The host computer imports the detection curve into the coordinate system of the comparison model, obtains the corresponding detection data point on the detection curve according to the time point on the X-axis, determines the distance between all detection data points on the detection curve and each standard curve in the comparison model, and then determines the status of each detection data point.

[0009] In an optional embodiment, the distance between all detection data points on the detection curve and each standard curve in the comparison model is determined, that is, With the detection data point as the center and the preset detection distance as the radius, a detection standard circle is constructed. If the detection standard circle has only one intersection with all the detection curves, the state of the standard curve at the intersection is the state of the detection data point; The states of the standard curve include: good welding, partially good welding, welding penetration and abnormal welding penetration.

[0010] In an optional embodiment, if the detection standard circle has an intersection with at least two standard curves and no corresponding abnormal curve is matched in the database, the host computer controls the detection standard circle to first move leftward along the X-axis from the detection data point until the detection standard circle has an intersection with only one standard curve, and the intersection is recorded as the starting point. Then, the host computer controls the detection standard circle to move rightward along the X-axis from the detection data point until the detection standard circle has an intersection with only one standard curve, and the intersection is recorded as the end point. The curve segment between the starting point and the end point is recorded as an abnormal curve, and the state of the curve is the combination of the state of the standard curve at the starting point and the state of the standard curve at the end point.

[0011] In an optional embodiment, if the detection standard circle has an intersection with at least two standard curves, and a corresponding abnormal curve is matched in the database, the state corresponding to the abnormal curve in the database is directly marked on the detection curve.

[0012] In an optional embodiment, the host computer is further configured to construct a database to store abnormal curves and corresponding materials and states.

[0013] In an optional embodiment, the host computer is further configured to mark the time point crossed by the abnormal curve as a detection point.

[0014] In an optional embodiment, the host computer is further configured to output a detection curve and a state of the detection curve; The state of the detection curve includes: the state of the abnormal curve in the detection curve, and the state of each detection data point in the remaining part of the detection curve after the abnormal curve is removed.

[0015] In a second aspect, the present disclosure also provides a working method using the above-mentioned power battery welding detection system, including: Receive a detection curve and perform comparison processing on the detection curve using a comparison model to determine a state of the detection curve.

[0016] The beneficial effect of the present invention is that the power battery welding detection system includes a control module; a high-precision magnetic field sensor, which is electrically connected to the control module and is configured to detect the welding point to obtain a detection curve; and a host computer, which is configured to receive the detection curve sent by the control module and compare the detection curve through a comparison model to determine the state of the detection curve, thereby achieving rapid and accurate detection of the welding position and improving the power battery detection efficiency.

[0017] Other features and advantages of the present invention will be described in the following description, and in part will become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention are realized and obtained by the structures particularly pointed out in the description and the drawings.

[0018] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are specifically cited herein and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the specific embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0020] Figure 1 This is a schematic diagram of the welding points of the power battery after welding; Figure 2 A principle block diagram of a power battery welding detection system provided by an embodiment of the present disclosure; Figure 3 A flow chart of a detection curve judgment provided in an embodiment of the present disclosure Figure 4 A schematic diagram of a curve in a comparison model provided in an embodiment of the present disclosure; Figure 5 This is a schematic diagram of a detection curve after it is imported into a comparison model provided in an embodiment of the present disclosure. DETAILED DESCRIPTION

[0021] To make the objectives, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the embodiments described are only part of the embodiments of the present invention, not all of them. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0022] In this document, when it is mentioned that a first component is located on a second component, this may mean that the first component may be directly formed on the second component, or that a third component may be interposed between the first component and the second component. In addition, in the drawings, the thickness of components may be exaggerated or reduced in order to effectively describe technical content.

[0023] As used herein, the phrases "in one embodiment," "according to one embodiment," "in some embodiments," and the like generally refer to the fact that the particular feature, structure, or characteristic following the phrase may be included in at least one embodiment of the present disclosure. Thus, a particular feature, structure, or characteristic may be included in more than one embodiment of the present disclosure, such that these phrases do not necessarily refer to the same embodiment. As used herein, the terms "example," "exemplary," and the like are used to "serve as an example, instance, or illustration." Any implementation, aspect, or design described herein as "example" or "exemplary" is not necessarily to be construed as preferred or advantageous over other implementations, aspects, or designs. Instead, the use of the terms "example," "exemplary," and the like is intended to present concepts in a concrete manner.

[0024] The following embodiments of the present invention are described in detail with reference to the accompanying drawings. In the absence of conflict, the following embodiments and features therein may be combined with each other.

[0025] In related technologies, when it is necessary to accurately detect the welding effect on a power battery, a high-order low-pass filter needs to be used. However, this will result in a longer detection time for each power battery and lower detection efficiency.

[0026] like Figure 2 As shown, in at least one disclosed embodiment, a power battery welding detection system is provided, including: a control module; a high-precision magnetic field sensor, electrically connected to the control module and configured to detect the welding point to obtain a detection curve; a host computer, configured to receive the detection curve sent by the control module, and compare the detection curve through a comparison model to determine the state of the detection curve, thereby achieving rapid and accurate detection of the welding position and improving the power battery detection efficiency.

[0027] In this embodiment, the high-precision magnetic field sensor may be, but is not limited to, AK8963.

[0028] In this embodiment, the control module may be electrically connected to the wireless communication module to send the detection curve obtained by the detection to the host computer for processing via wireless communication. The wireless communication module may be WIFI or the like.

[0029] like Figure 4 As shown, in an optional embodiment, the host computer is configured to construct a comparison model based on several preset standard curves, that is, the good welding standard curve, partially good welding standard curve, welding penetration standard curve and abnormal welding penetration standard curve corresponding to each material are imported into the same coordinate system to form a comparison model; the X-axis of the coordinate system is time, and the Y-axis is magnetic field strength.

[0030] In this embodiment, each standard curve will contain noise, and the detection curve obtained by the high-precision magnetic field sensor will also contain noise. Therefore, in the subsequent actual comparison process, since both the standard curve and the detection curve will include noise, the noise in the standard curve and the detection curve is not chaotic during the generation process, and the noise will not cause interference.

[0031] In this embodiment, several time points may be set on the X-axis, and adjacent time points may be spaced apart by 1 second, etc., and may be set according to actual detection requirements.

[0032] In this embodiment, the abnormal welding penetration is a more serious welding penetration than the welding penetration.

[0033] like Figure 3 and Figure 5 As shown, in an optional embodiment, the host computer is configured to perform comparison processing on the detection curve through a comparison model, that is, The host computer imports the detection curve into the coordinate system of the comparison model, obtains the corresponding detection data point on the detection curve according to the time point on the X-axis, determines the distance between all detection data points on the detection curve and each standard curve in the comparison model, and then determines the status of each detection data point.

[0034] In this embodiment, the state of each detection data point on the detection curve is obtained, thereby accurately reflecting the state of the entire detection curve and more accurately reflecting the detection result of the solder joint.

[0035] In an optional embodiment, the distance between all detection data points on the detection curve and each standard curve in the comparison model is judged, that is, a detection standard circle is constructed with the detection data point as the center and the preset detection distance as the radius. If there is only one intersection between the detection standard circle and all detection curves, the state of the standard curve at the intersection is the state of the detection data point; the states of the standard curve include: good welding, partially good welding, welding penetration and abnormal welding penetration.

[0036] In this embodiment, the preset detection distance may be one third of the distance between adjacent time points.

[0037] In this embodiment, when the detection standard circle has only one intersection with the standard curve, it is determined that the detection data point is closest to the standard curve, and the state of the detection data point is the state of the detection curve.

[0038] For example, if the inspection standard circle constructed by the inspection data point has only one intersection with the good welding standard curve, the state of the inspection data point is judged to be good welding.

[0039] In an optional embodiment, if the detection standard circle has an intersection with at least two standard curves and no corresponding abnormal curve is matched in the database, the upper computer controls the detection standard circle to first move leftward along the X-axis from the detection data point until the detection standard circle has an intersection with only one standard curve, and the intersection is recorded as the starting point. Then the upper computer controls the detection standard circle to move rightward along the X-axis from the detection data point until the detection standard circle has an intersection with only one standard curve, and the intersection is recorded as the end point; the curve segment between the starting point and the end point is recorded as an abnormal curve, and the state of the curve is a combination of the state of the standard curve at the starting point and the state of the standard curve at the end point.

[0040] In this embodiment, if the detection standard circle intersects at least two standard curves, it means that the corresponding detection data point is close to multiple standard curves, and further judgment of the status of the detection data point is required.

[0041] In this embodiment, after the detection standard circle moves to the left, it only intersects with the good welding standard curve, and the state at the starting point is good welding. After the detection standard circle moves to the right, it only intersects with the welding penetration standard curve, and the state at the end point is welding penetration. The state of the abnormal curve between the starting point and the end point of this section is recorded as good welding and welding penetration.

[0042] In this embodiment, the detection standard circle may also move a preset distance each time, and the preset distance may be one third of the distance between two adjacent time points.

[0043] In an optional embodiment, if the detection standard circle has an intersection with at least two standard curves, and a corresponding abnormal curve is matched in the database, the state corresponding to the abnormal curve in the database is directly marked on the detection curve.

[0044] In this embodiment, when the database contains an abnormal curve corresponding to a portion of the detection curve, the state of the abnormal curve can be directly retrieved from the database and directly marked on the corresponding curve portion on the detection curve without the need for other detection judgments.

[0045] In an optional embodiment, the host computer is further configured to construct a database to store abnormal curves and corresponding materials and states.

[0046] In this embodiment, as the number of power batteries tested in the same batch increases, the number of abnormal curves in the database increases, the testing time of one power battery becomes shorter and shorter, and the testing efficiency becomes higher and higher.

[0047] In an optional embodiment, the host computer is further configured to mark the time point crossed by the abnormal curve as a detection point.

[0048] In this embodiment, marking detection points on the abnormal curve can facilitate comparison and judgment of the abnormal curve in the detection curve, increase the speed of abnormal curve comparison and judgment, and improve detection efficiency. The detection points can divide the abnormal curve into multiple segments, which is convenient for comparison and judgment.

[0049] In this embodiment, when a batch of new power batteries needs to be tested, if there is no power battery of the corresponding material recorded in the database, the upper computer first constructs a comparison model, and then compares the detection curve with the comparison model, and records each abnormal curve and the corresponding state in the database. When the next detection curve needs to be compared, the abnormal curve stored in the database can be directly compared with the current detection curve. If there is a part of the curve in the current detection curve that corresponds to the abnormal curve in the database, the part corresponding to the abnormal curve is directly marked in the current detection curve to obtain the corresponding state. If there is still an abnormal curve in the current detection curve that does not exist in the database, the abnormal curve is processed and marked and then stored in the database. As the number of power battery detections increases, the number of abnormal curves in the database increases, and the speed and efficiency of subsequent single power battery detection will increase, while not requiring a low-pass filter and increasing the power battery detection efficiency.

[0050] In an optional implementation, the host computer is further configured to output a detection curve and a state of the detection curve.

[0051] In this embodiment, the state of the detection curve includes: the state of an abnormal curve in the detection curve, and the state of each detection data point in the remaining portion of the detection curve after the abnormal curve is removed.

[0052] At least one other disclosed embodiment further provides a working method using the above-mentioned power battery welding detection system, including: Receive a detection curve and perform comparison processing on the detection curve using a comparison model to determine a state of the detection curve.

[0053] In summary, the power battery welding detection system includes a control module; a high-precision magnetic field sensor, which is electrically connected to the control module and configured to detect the welding point to obtain a detection curve; and a host computer, which is configured to receive the detection curve sent by the control module and compare the detection curve through a comparison model to determine the state of the detection curve, thereby achieving rapid and accurate detection of the welding position and improving the power battery detection efficiency.

[0054] With the above-described preferred embodiments of the present invention as a guide, and with reference to the above description, relevant personnel are fully capable of making various changes and modifications without departing from the technical scope of this invention. The technical scope of this invention is not limited to the contents of the specification and must be determined according to the scope of the claims.

Claims

1. A power battery welding detection system, characterized in that: include: Control module; a high-precision magnetic field sensor, electrically connected to the control module and configured to detect the welding point to obtain a detection curve; The host computer is configured to receive the detection curve sent by the control module and perform comparison processing on the detection curve through the comparison model to determine the state of the detection curve.

2. The power battery welding detection system according to claim 1, characterized in that: The host computer is configured to construct a comparison model based on a number of preset standard curves, that is, importing the good welding standard curve, partially good welding standard curve, welding penetration standard curve and abnormal welding penetration standard curve corresponding to each material into the same coordinate system to form a comparison model; The X-axis of the coordinate system is time, and the Y-axis is the magnetic field intensity.

3. The power battery welding detection system according to claim 2, characterized in that: The host computer is configured to perform comparison processing on the detection curve through a comparison model, that is, The host computer imports the detection curve into the coordinate system of the comparison model, obtains the corresponding detection data point on the detection curve according to the time point on the X-axis, determines the distance between all detection data points on the detection curve and each standard curve in the comparison model, and then determines the status of each detection data point.

4. The power battery welding detection system according to claim 3, characterized in that: The distances of all the detection data points on the detection curve to the standard curves in the comparison model are determined, that is, With the detection data point as the center and the preset detection distance as the radius, a detection standard circle is constructed. If the detection standard circle has only one intersection with all the detection curves, the state of the standard curve at the intersection is the state of the detection data point; The states of the standard curve include: good welding, partially good welding, welding penetration and abnormal welding penetration.

5. The power battery welding detection system according to claim 4, characterized in that: If the detection standard circle has intersections with at least two standard curves and no corresponding abnormal curve is matched in the database, the host computer controls the detection standard circle to move leftward along the X-axis from the detection data point until the detection standard circle has only an intersection with one standard curve. This intersection is recorded as the starting point. Then the host computer controls the detection standard circle to move rightward along the X-axis from the detection data point until the detection standard circle has only an intersection with one standard curve. This intersection is recorded as the end point. The curve segment between the starting point and the end point is recorded as an abnormal curve, and the state of the curve is the combination of the state of the standard curve at the starting point and the state of the standard curve at the end point.

6. The power battery welding detection system according to claim 5, characterized in that: If the detection standard circle has an intersection with at least two standard curves, and the corresponding abnormal curve is matched in the database, the state corresponding to the abnormal curve in the database is directly marked on the detection curve.

7. The power battery welding detection system according to claim 6, characterized in that: The host computer is further configured to construct a database to store abnormal curves and corresponding materials and states.

8. The power battery welding detection system according to claim 6, characterized in that: The host computer is further configured to mark the time point crossed by the abnormal curve as a detection point.

9. The power battery welding detection system according to claim 6, characterized in that: The host computer is further configured to output a detection curve and a state of the detection curve; The state of the detection curve includes: the state of the abnormal curve in the detection curve, and the state of each detection data point in the remaining part of the detection curve after the abnormal curve is removed.

10. A working method using the power battery welding detection system according to claim 1, characterized in that: include: Receive a detection curve and perform comparison processing on the detection curve using a comparison model to determine a state of the detection curve.