Detection system and method for battery cell detection

Abstract

The present application relates to a detection system and method for battery cell detection. The detection system may include: a signal transmitting component for transmitting a first ultrasonic signal from a target edge position of the battery cell to be tested under the control of a detection device, and transmitting a second ultrasonic signal from each detection position on the main surface of the battery cell to be tested; a signal receiving component for receiving a reference detection signal corresponding to the first ultrasonic signal and a dynamic detection signal corresponding to the second ultrasonic signal, and sending the reference detection signal and the dynamic detection signal to the detection device; a detection device for performing ratio processing on the dynamic detection signal and the reference detection signal to obtain defect detection signals corresponding to different detection positions on the main surface of the battery cell to be tested, and determining a target detection image based on the defect detection signal; performing preset defect processing on the target detection image to obtain a target defect detection result of the battery cell to be tested. The embodiments of the present application achieve the purpose of non-destructively and accurately detecting battery cell defects.

Description

Technical Field

[0001] The present application relates to the field of battery technology, and in particular to a detection system and method for battery cell detection. Background Art

[0002] The production process of battery cells includes multiple production steps, and individual production steps may cause some defects on the main surface of individual battery cells, such as pit defects and / or bubble defects.

[0003] Considering that the battery cells with the above defects may affect the subsequent normal use, how to provide a detection system that can accurately detect battery cell defects is an urgent problem to be solved. Summary of the invention

[0004] In view of the above problems, the present application provides a detection system and method for battery cell detection, which can accurately detect battery cell defects.

[0005] In a first aspect, the present application provides a detection system for battery cell detection, the detection system comprising:

[0006] A signal transmitting component connected to the detection device, used to transmit a first ultrasonic signal from a target edge position of the battery cell to be tested, and to transmit a second ultrasonic signal from each detection position on the main surface of the battery cell to be tested under the control of the detection device; wherein the target edge position is a boundary position between the main surface of the battery cell to be tested and other surfaces;

[0007] A signal receiving component connected to the detection device, used to receive a reference detection signal corresponding to the first ultrasonic signal and a dynamic detection signal corresponding to the second ultrasonic signal, and send the reference detection signal and the dynamic detection signal to the detection device; wherein the dynamic detection signal includes a defect detection signal and a first background noise signal, and the first background noise signal is the same as the second background noise signal in the reference detection signal;

[0008] A detection device, used for performing ratio processing on the dynamic detection signal and the reference detection signal to obtain defect detection signals corresponding to different detection positions on the main surface of the battery cell to be tested, and determining a target detection image according to the defect detection signals; wherein the target detection image is used to indicate the amplitude of the defect detection signal corresponding to different detection positions on the main surface of the battery cell to be tested;

[0009] The detection equipment is also used to perform preset defect processing on the target detection image to obtain the target defect detection result of the battery cell to be tested.

[0010] In the embodiment of the present application, a first ultrasonic signal is emitted by a signal emitting component to collect a reference detection signal, and a second ultrasonic signal is emitted to collect a dynamic detection signal. Furthermore, the detection device performs ratio processing on the dynamic detection signal and the reference detection signal to eliminate the influence of background noise on the defect detection signal, and can obtain a target detection image that can be used to indicate the defect detection signal amplitudes corresponding to different detection positions on the main surface of the battery cell to be tested based on the defect detection signal with the background noise eliminated. Therefore, the detection device performs preset defect processing on the target detection image with the background noise eliminated, which is beneficial to improving the sensitivity of battery cell defect detection, and can obtain accurate target defect detection results, thereby achieving the purpose of non-destructive and accurate detection of battery cell defects, and is also beneficial to improving the battery cell process excellence rate.

[0011] In some embodiments, the detection device is specifically used to: perform preset imaging processing on the defect detection signal to obtain a target detection image.

[0012] In some embodiments, the detection system further includes an imaging device, and the detection device is specifically used to: send a defect detection signal to the imaging device;

[0013] The imaging device is used to perform preset imaging processing on the defect detection signal to obtain a target detection image and return it to the detection device.

[0014] In some embodiments, the detection device is also used to:

[0015] The defect detection signal is amplified to obtain an amplified defect detection signal, and a target detection image is determined according to the amplified defect detection signal.

[0016] In some embodiments, the detection device is specifically used to:

[0017] Performing preset defect quantification processing on the target detection image to obtain the size and position of each defect area on the main surface of the battery cell to be tested;

[0018] The sizes of each defect area existing on the main surface of the battery cell to be tested are subjected to a preset defect evaluation process to obtain a target defect detection result of the battery cell to be tested.

[0019] In the embodiment of the present application, since the detection equipment obtains the size and position of each defect area existing on the main surface of the battery cell to be tested by performing preset defect quantification processing on the target detection image with the background noise influence eliminated, and performs preset defect evaluation processing on the size of each defect area existing on the main surface of the battery cell to be tested, it is beneficial to further improve the sensitivity of battery cell defect detection, thereby obtaining more accurate target defect detection results.

[0020] In some embodiments, the target detection image includes a target ultrasonic spectrum, and the detection device is specifically used to:

[0021] Performing spectral normalization processing on the target ultrasonic spectrum to obtain the target defect ultrasonic spectrum;

[0022] According to the information of each peak in the ultrasonic spectrum of the target defect, the size and position of each defect area existing on the main surface of the battery cell to be tested are determined.

[0023] In some embodiments, the target detection image includes a target ultrasonic imaging image, and the detection device is specifically used to:

[0024] Performing image normalization processing on the target ultrasonic imaging to obtain the target defect ultrasonic imaging diagram;

[0025] According to each abnormal color display area in the target defect ultrasonic imaging image, the size and position of each defect area existing on the main surface of the battery cell to be tested are determined.

[0026] In some embodiments, the signal transmitting component includes:

[0027] A first signal transmitter disposed at a target edge position of the battery cell to be tested, and configured to transmit a first ultrasonic signal under the control of the detection device;

[0028] The second signal transmitter is used to transmit a second ultrasonic signal from each detection position on the main surface of the battery cell to be tested under the control of the detection device.

[0029] In the embodiment of the present application, a first signal transmitter arranged at a target edge position of the battery cell to be tested transmits a first ultrasonic signal, and a second signal transmitter transmits a second ultrasonic signal from each detection position on the main surface of the battery cell to be tested, so that a signal receiving component can collect a reference detection signal of the battery cell to be tested and a dynamic detection signal corresponding to different detection positions on the main surface of the battery cell to be tested, so that the detection equipment can perform signal processing on the reference detection signal and the dynamic detection signal to eliminate the influence of background noise on the defect detection signal, and obtain a target detection image that can be used to indicate the amplitude of the defect detection signal corresponding to different detection positions on the main surface of the battery cell to be tested.

[0030] In some embodiments, the signal transmitting component further comprises:

[0031] The driving component is used to drive the second signal transmitter to transmit the second ultrasonic signal from each detection position on the main surface of the battery cell to be tested under the control of the detection device.

[0032] In a second aspect, the present application further provides a detection method for battery cell detection, the method is applied to a detection device in a detection system according to any one of the first aspects above, the method comprising:

[0033] The control signal transmitting component transmits a first ultrasonic signal from a target edge position of the battery cell to be tested, and transmits a second ultrasonic signal from each detection position on the main surface of the battery cell to be tested; wherein the target edge position is a boundary position between the main surface of the battery cell to be tested and other surfaces;

[0034] A reference detection signal corresponding to the first ultrasonic signal and a dynamic detection signal corresponding to the second ultrasonic signal sent by the signal receiving component are received; wherein the dynamic detection signal includes a defect detection signal and a first background noise signal, and the first background noise signal is the same as the second background noise signal in the reference detection signal;

[0035] Performing ratio processing on the dynamic detection signal and the reference detection signal to obtain defect detection signals corresponding to different detection positions on the main surface of the battery cell to be tested, and determining a target detection image according to the defect detection signals; wherein the target detection image is used to indicate the amplitude of the defect detection signal corresponding to different detection positions on the main surface of the battery cell to be tested;

[0036] Perform preset defect processing on the target detection image to obtain the target defect detection result of the battery cell to be tested.

[0037] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present application. Moreover, the same reference numerals are used throughout the drawings to represent the same components. In the drawings:

[0039] Figure 1 A schematic diagram of the structure of a detection system for battery cell detection provided in some embodiments of the present application;

[0040] Figure 2 A schematic diagram of transmitting an ultrasonic signal by a signal transmitting component provided in an embodiment of the present application;

[0041] Figure 3 A schematic diagram of the structure of a detection system for battery cell detection provided in some other embodiments of the present application;

[0042] Figure 4 A schematic diagram of the structure of a detection system for battery cell detection provided in some other embodiments of the present application;

[0043] Figure 5A schematic diagram of the structure of a detection system for battery cell detection provided in some other embodiments of the present application;

[0044] Figure 6 A schematic diagram of a flow chart of a detection method for battery cell detection provided in some embodiments of the present application;

[0045] Figure 7 A schematic diagram of the structure of a detection device for battery cell detection provided in some embodiments of the present application;

[0046] Figure 8 A schematic diagram of the structure of the detection equipment provided in some embodiments of the present application. DETAILED DESCRIPTION

[0047] The following embodiments of the technical solution of the present application will be described in detail in conjunction with the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solution of the present application, and are therefore only used as examples, and cannot be used to limit the scope of protection of the present application.

[0048] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by technicians in the technical field to which this application belongs; the terms used herein are only for the purpose of describing specific embodiments and are not intended to limit this application; the term "including" and any variations thereof in the specification and claims of this application and the above-mentioned figure descriptions are intended to cover non-exclusive inclusions.

[0049] The detection system and method for battery cell detection provided in the embodiments of the present application can be applied to defect detection application scenarios in the battery cell production process; of course, it can also be applied to other scenarios.

[0050] For ease of understanding, the present application embodiment first briefly introduces the principle of ultrasonic detection of battery cell defects:

[0051] Ultrasonic waves (or ultrasonic signals) are mechanical vibration waves with the characteristics of high frequency, high energy, strong penetration and strong directivity. When ultrasonic waves propagate in a medium, they are affected by various impurities and defects in the medium and cause reflection, scattering and refraction. These phenomena can be received by ultrasonic detectors (i.e. signal receiving components) and converted into electrical signals.

[0052] The detection principle of ultrasonic signals is to convert sound wave signals into electrical signals, which will be affected by background noise. Since background noise is usually fixed in theory, the embodiment of the present application proposes that a dual-signal transmitter emits an ultrasonic signal to respectively collect the reference detection signal (second background noise signal) and dynamic detection signal (first background noise signal + defect detection signal) of the battery cell to be tested, wherein the first background noise signal is the same as the second background noise signal. By performing ratio processing on the dynamic detection signal and the reference detection signal, the influence of background noise on the defect detection signal can be eliminated, which is beneficial to improving the accuracy of battery cell defect detection.

[0053] Based on the above considerations, an embodiment of the present application proposes to transmit a first ultrasonic signal through a signal transmitting component to collect a reference detection signal, and to transmit a second ultrasonic signal to collect a dynamic detection signal. Furthermore, the detection device performs signal processing on the reference detection signal and the dynamic detection signal to eliminate the influence of background noise on the defect detection signal, and obtains a target detection image that can be used to indicate the amplitude of the defect detection signal corresponding to different detection positions on the main surface of the battery cell to be tested. Therefore, the detection device performs preset defect processing on the target detection image from which the influence of background noise is eliminated, which is beneficial to improving the sensitivity of battery cell defect detection, and can obtain accurate target defect detection results, thereby achieving the purpose of non-destructive and accurate detection of battery cell defects, and is also beneficial to improving the battery cell process excellence rate.

[0054] For ease of understanding, the present application embodiment first introduces the principle of ratio processing.

[0055] The signal-to-noise ratio of the reference detection signal can be expressed as SN1=10lg(P s1 / P n1 ), the signal-to-noise ratio of the dynamic detection signal corresponding to any detection position on the main surface of the battery cell to be tested can be expressed as SN2=10lg(P s2 / P n2 ), where P s1 Represents the useful signal power in the reference detection signal, P n1 represents the second background noise signal power in the reference detection signal, P s2 Represents the defect detection signal power in the dynamic detection signal, P n2 Represents the first background noise signal power in the dynamic detection signal.

[0056] In order to obtain the target detection image corresponding to the defect detection signal, the power and voltage relationship P=U 2 / R converts the power ratio into the voltage ratio, and the signal-to-noise ratio of the reference detection signal can be expressed as SN1=20Lg(V s1 / V n1), the signal-to-noise ratio of the dynamic detection signal can be expressed as SN2=20Lg(V s2 / V n2 ). Among them, V s1 Represents the useful signal voltage in the reference detection signal, V n1 Represents the second background noise signal voltage in the reference detection signal, V s2 Represents the defect detection signal voltage in the dynamic detection signal, V n2 Represents the first background noise signal voltage in the dynamic detection signal.

[0057] Since the thickness of the main surface of the battery cell to be tested is consistent (i.e. the number of layers of the diaphragm and the cathode and anode are the same, etc.), V n1 With V n2 Theoretically, they are equal, that is, the signal-to-noise ratio of the dynamic detection signal is compared with the signal-to-noise ratio of the reference detection signal (SN2 / SN1=V s2 / V s1 ), the influence of the background noise signal can be offset, that is, by comparing the dynamic detection signal with the reference detection signal, the ratio processing of the dynamic detection signal and the reference detection signal can be achieved.

[0058] In some embodiments, Figure 1 The structural schematic diagram of the detection system for battery cell detection provided in some embodiments of the present application, as shown in the figure, the detection system of the embodiment of the present application may include a detection device 10, a signal transmitting component 11 and a signal receiving component 12 respectively connected to the detection device 10. Exemplarily, the detection device 10 and the signal transmitting component 11 and the signal receiving component 12 may be connected by wired connection, wireless connection or the like.

[0059] The signal transmitting component 11 in the embodiment of the present application can be used to transmit a first ultrasonic signal from a target edge position of the battery cell to be tested, and to transmit a second ultrasonic signal from each detection position on the main surface of the battery cell to be tested under the control of the detection device 10; wherein the target edge position can be the boundary position between the main surface of the battery cell to be tested and other surfaces.

[0060] Illustratively, the battery cells to be tested in the embodiments of the present application may include but are not limited to square shell battery cells or cylindrical battery cells.

[0061] The main surface (or large surface) of the cell to be tested in the embodiment of the present application refers to the surface with the largest area in the cell to be tested. For example, the target edge position may be the junction position between the main surface and the top surface, bottom surface or side surface of the cell to be tested.

[0062] Figure 2 A schematic diagram of a signal transmitting component transmitting an ultrasonic signal provided in an embodiment of the present application, such as Figure 2As shown, the signal transmitting component 11 can transmit a first ultrasonic signal S1 from the target edge position of the battery cell to be tested, and transmit a second ultrasonic signal S2 from each detection position on the main surface of the battery cell to be tested; wherein the direction of the first ultrasonic signal S1 emitted by the signal transmitting component 11 at the target edge position can be perpendicular to the main surface of the battery cell to be tested toward the inside of the battery cell to be tested, and the direction of the second ultrasonic signal S2 emitted by the signal transmitting component 11 at any detection position can be perpendicular to the main surface of the battery cell to be tested toward the inside of the battery cell to be tested. Exemplarily, the signal frequencies of the first ultrasonic signal and the second ultrasonic signal in the embodiment of the present application can be the same.

[0063] In the embodiment of the present application, on the one hand, the signal transmitting component 11 transmits a first ultrasonic signal from the target edge position of the battery cell to be tested, so that the signal receiving component 12 can collect the reference detection signal (including the second background noise signal) of the battery cell to be tested. On the other hand, the signal transmitting component 11 transmits a second ultrasonic signal from each detection position on the main surface of the battery cell to be tested, so that the signal receiving component 12 can collect the dynamic detection signal (including the defect detection signal and the first background noise signal) corresponding to the different detection positions on the main surface of the battery cell to be tested. Among them, the first background noise signal in the dynamic detection signal is the same as the second background noise signal in the reference detection signal, so that the influence of the background noise in the dynamic detection signal on the defect detection signal can be eliminated by using the reference detection signal.

[0064] The signal receiving component 12 in the embodiment of the present application can be used to receive a reference detection signal corresponding to the first ultrasonic signal and a dynamic detection signal corresponding to the second ultrasonic signal, and send the reference detection signal and the dynamic detection signal to the detection device 10.

[0065] Illustratively, the signal receiving component 12 in the embodiment of the present application may include but is not limited to an ultrasonic transducer; the detection device 10 in the embodiment of the present application may include but is not limited to a terminal device.

[0066] In the embodiment of the present application, the signal receiving component 12 can receive a reference detection signal of the battery cell to be tested corresponding to the first ultrasonic signal, and receive a dynamic detection signal corresponding to the second ultrasonic signal at different detection positions on the main surface of the battery cell to be tested (or simply referred to as the dynamic detection signal corresponding to different detection positions on the main surface of the battery cell to be tested), and send the reference detection signal of the battery cell to be tested and the dynamic detection signal corresponding to different detection positions on the main surface of the battery cell to be tested to the detection device 10.

[0067] The detection device 10 in the embodiment of the present application can be used to perform ratio processing on the dynamic detection signal and the reference detection signal to obtain defect detection signals corresponding to different detection positions on the main surface of the battery cell to be tested, and determine a target detection image based on the defect detection signals; wherein the target detection image is used to indicate the amplitude of the defect detection signal corresponding to different detection positions on the main surface of the battery cell to be tested.

[0068] In the embodiment of the present application, considering that the second background noise signal in the reference detection signal of the battery cell to be tested is the same as the first background noise signal in the dynamic detection signal, the detection device 10 can eliminate the influence of the background noise on the defect detection signal and obtain the defect detection signal corresponding to the different detection positions on the main surface of the battery cell to be tested by performing ratio processing on the dynamic detection signal corresponding to the different detection positions on the main surface of the battery cell to be tested and the reference detection signal of the battery cell to be tested.

[0069] Illustratively, for any detection position on the main surface of the battery cell to be tested, the detection device 10 can eliminate the influence of background noise on the defect detection signal by taking the ratio of the dynamic detection signal of the detection position to the reference detection signal (i.e., ratio processing) as the defect detection signal corresponding to the detection position.

[0070] Furthermore, the detection device 10 can determine the target detection image according to the defect detection signals corresponding to different detection positions on the main surface of the battery cell to be tested.

[0071] In the implementation of the present application, the detection device 10 can determine a target detection image that can be used to indicate the defect detection signal amplitude corresponding to different detection positions on the main surface of the battery cell to be tested based on different detection positions on the main surface of the battery cell to be tested and the corresponding defect detection signals.

[0072] Exemplarily, the target detection image in the embodiment of the present application may include, but is not limited to, a target ultrasonic spectrum, and / or a target ultrasonic imaging diagram. Among them, the target ultrasonic spectrum is a two-dimensional diagram, whose horizontal coordinate may be the coordinates of different detection positions on the main surface of the battery cell to be tested, and whose vertical coordinate may be the amplitude of the defect detection signal corresponding to the corresponding detection position. The target ultrasonic imaging diagram may be a two-dimensional imaging diagram or a three-dimensional imaging diagram, which may indicate the amplitude of the defect detection signal at the corresponding position by setting different colors at different detection positions on the main surface of the battery cell to be tested.

[0073] The detection device 10 in the embodiment of the present application can also be used to perform preset defect processing on the target detection image to obtain the target defect detection result of the battery cell to be tested.

[0074] Exemplarily, the target defect detection result can be used to indicate the defect detection information of the main surface of the battery cell to be tested, wherein the defect detection information may include but is not limited to at least one of the following: a defect detection signal, a target detection image, the size of the defect area, the location of the defect area, and whether the defect condition of the battery cell to be tested meets the preset rejection requirements.

[0075] Exemplarily, the cell defects (or simply referred to as defects) in the embodiments of the present application may include but are not limited to bubble defects or depression defects, etc. For example, in the case where the defects include bubble defects, the defect area involved in the embodiments of the present application includes a bubble defect area.

[0076] In a possible implementation, the detection device 10 can obtain the target defect detection result of the battery cell to be tested by performing preset defect processing on the target detection image. The preset defect processing may include but is not limited to: preset defect quantification processing and / or preset defect evaluation processing; the preset defect quantification processing can be used to quantify the size and position of the defect area; the preset defect evaluation processing can be used to evaluate whether the defect situation of the battery cell to be tested meets the preset rejection requirements.

[0077] In another possible implementation, the detection device 10 may perform preset defect processing by inputting the target detection image into a preset defect processing model to obtain a target defect detection result output by the preset defect processing model; wherein the preset defect processing model may include but is not limited to a machine learning model.

[0078] Of course, the detection device 10 can also perform preset defect processing on the target detection image in other ways to obtain the target defect detection result of the battery cell to be tested.

[0079] In the embodiment of the present application, the detection device 10 performs ratio processing on the dynamic detection signal and the reference detection signal corresponding to different detection positions on the main surface of the battery cell to be tested to eliminate the influence of background noise on the defect detection signal, and can obtain a target detection image for indicating the amplitude of the defect detection signal corresponding to different detection positions on the main surface of the battery cell to be tested based on the defect detection signals corresponding to different detection positions with the influence of background noise eliminated, that is, the target detection image is a target detection image with the influence of background noise eliminated. Therefore, the detection device 10 performs preset defect processing on the target detection image with the influence of background noise eliminated, which is beneficial to improving the sensitivity of battery cell defect detection, thereby obtaining accurate target defect detection results.

[0080] In summary, the detection system for cell detection in the embodiment of the present application may include a detection device, a signal transmitting component and a signal receiving component respectively connected to the detection device. Wherein, the signal transmitting component is used to transmit a first ultrasonic signal from a target edge position of the cell to be tested under the control of the detection device, and to transmit a second ultrasonic signal from each detection position of the main surface of the cell to be tested; wherein the target edge position is the boundary position between the main surface of the cell to be tested and other surfaces; the signal receiving component is used to receive a reference detection signal corresponding to the first ultrasonic signal and a dynamic detection signal corresponding to the second ultrasonic signal, and send the reference detection signal and the dynamic detection signal to the detection device; wherein the dynamic detection signal includes a defect detection signal and a first background noise signal, and the first background noise signal is the same as the second background noise signal in the reference detection signal; the detection device is used to perform ratio processing on the dynamic detection signal and the reference detection signal to obtain defect detection signals corresponding to different detection positions of the main surface of the cell to be tested, and determine a target detection image according to the defect detection signal; wherein the target detection image is used to indicate the amplitude of the defect detection signal corresponding to different detection positions of the main surface of the cell to be tested; further, the detection device is also used to perform preset defect processing on the target detection image to obtain a target defect detection result of the cell to be tested. It can be seen that in the embodiment of the present application, the first ultrasonic signal is emitted by the signal emitting component to collect the reference detection signal, and the second ultrasonic signal is emitted to collect the dynamic detection signal. Furthermore, the detection device performs ratio processing on the dynamic detection signal and the reference detection signal to eliminate the influence of background noise on the defect detection signal, and can obtain a target detection image indicating the defect detection signal amplitude corresponding to different detection positions on the main surface of the battery cell to be tested based on the defect detection signal with the background noise eliminated. Therefore, the detection device is beneficial to improving the sensitivity of battery cell defect detection by performing preset defect processing on the target detection image with the background noise eliminated, and can obtain accurate target defect detection results, thereby achieving the purpose of non-destructive and accurate detection of battery cell defects, and is also beneficial to improving the battery cell process quality rate.

[0081] In some embodiments, the embodiments of the present application provide an exemplary introduction and description of possible implementation methods of the above-mentioned “detection device determines a target detection image based on a defect detection signal”.

[0082] In a possible implementation, the detection device 10 may be specifically used to: perform preset imaging processing on the defect detection signal to obtain a target detection image. The preset imaging processing may be used to generate a corresponding target detection image based on defect detection signal data conversion.

[0083] Exemplarily, the detection device 10 may obtain a target detection image by performing preset imaging processing on different detection positions on the main surface of the battery cell to be detected and the corresponding defect detection signals.

[0084] As another example, the detection device 10 can input the defect detection signals corresponding to different detection positions on the main surface of the battery cell to be tested into a preset imaging processing model for preset imaging processing to obtain a target detection image; wherein the preset imaging processing model may include but is not limited to a machine learning model.

[0085] Of course, the detection device 10 can also perform preset imaging processing on the defect detection signal in other ways to obtain a target detection image.

[0086] In this implementation, the detection device can quickly obtain a target detection image by performing preset imaging processing on the defect detection signal, which is beneficial to improving the battery cell detection efficiency.

[0087] In another possible implementation, Figure 3 A schematic diagram of a detection system for battery cell detection provided in some other embodiments of the present application is shown in FIG. Figure 3 As shown, the detection system in the embodiment of the present application may also include an imaging device 13, and the detection device 10 can be specifically used to: send a defect detection signal to the imaging device 13; the imaging device 13 can be used to perform preset imaging processing on the defect detection signal, obtain a target detection image, and return it to the detection device 10.

[0088] In this implementation, the detection device 10 can send defect detection signals corresponding to different detection positions on the main surface of the battery cell to be tested to the imaging device 13, so that the imaging device 13 performs preset imaging processing on the different detection positions and the corresponding defect detection signals, obtains a target detection image, and returns it to the detection device 10. It should be noted that the way in which the imaging device 13 performs preset imaging processing on the defect detection signal can refer to the way in which the detection device 10 performs preset imaging processing on the defect detection signal in the above embodiment, which will not be repeated here.

[0089] In this implementation, the detection device sends a defect detection signal to an imaging device so that the imaging device performs preset imaging processing on the defect detection signal to obtain a target detection image. This can save processing resources of the detection device and is beneficial to improving the operating efficiency of the detection device.

[0090] In some examples, in order to facilitate the target detection image to more intuitively display the defect detection signal, considering that the internal defects of the battery cell to be tested are usually distributed on the main surface, the detection device 10 can also perform signal normalization processing on the reference detection signal, that is, the useful signal voltage in the reference detection signal is normalized (that is, V s1 =1), so that more conveniently displayed defect detection signals corresponding to different detection positions can be obtained.

[0091] In some embodiments, in order to more easily display the difference between the abnormal signal part and the regular signal part in the defect detection signal, the detection device 10 can also perform signal amplification processing on the defect detection signal to obtain an amplified defect detection signal, and determine the target detection image based on the amplified defect detection signal.

[0092] Exemplarily, the detection device 10 can perform signal amplification processing on the defect detection signals corresponding to different detection positions on the main surface of the battery cell to be tested to obtain amplified defect detection signals corresponding to different detection positions. The signal amplification processing can be used to amplify the signal by a preset multiple.

[0093] Furthermore, the detection device 10 can determine the target detection image according to the amplified defect detection signals corresponding to different detection positions.

[0094] It should be noted that the feasible manner in which the detection device 10 determines the target detection image based on the defect detection signals corresponding to different detection positions after amplification can refer to the relevant content of "the detection device 10 determines the target detection image based on the defect detection signals" in the above embodiment, which will not be repeated here.

[0095] It can be seen that in the embodiment of the present application, by performing signal amplification processing on the defect detection signal to obtain the amplified defect detection signal, the difference between the abnormal signal part and the normal signal part in the defect detection signal can be amplified; further, the method of determining the target detection image according to the amplified defect detection signal can make it easier to display the difference between the abnormal signal part and the normal signal part in the defect detection signal in the target detection image, which is beneficial to improving the battery cell detection efficiency.

[0096] In some embodiments, the embodiments of the present application provide an exemplary introduction and description of possible implementation methods of the above-mentioned “the detection device performs preset defect processing on the target detection image to obtain the target defect detection result of the battery cell to be tested”.

[0097] The detection device 10 in the embodiment of the present application can be specifically used for: performing preset defect quantification processing on the target detection image to obtain the size and position of each defect area existing on the main surface of the battery cell to be tested; performing preset defect evaluation processing on the size of each defect area existing on the main surface of the battery cell to be tested to obtain the target defect detection result of the battery cell to be tested.

[0098] In the embodiment of the present application, the detection device 10 can obtain the size and position of each defect area on the main surface of the battery cell to be tested by performing preset defect quantification processing on the target detection image. The size of any defect area may refer to the maximum size of the defect area in different detection directions, and the position of any defect area may refer to the position of the defect area on the main surface of the battery cell to be tested.

[0099] In one possible implementation, when the target detection image includes a target ultrasonic spectrum, the detection device 10 can be specifically used to: perform spectral normalization processing on the target ultrasonic spectrum to obtain a target defect ultrasonic spectrum; and determine the size and position of each defect area on the main surface of the battery cell to be tested based on the information of each peak in the target defect ultrasonic spectrum.

[0100] The spectrum normalization processing in the embodiment of the present application refers to normalizing the regular signal part in the defect detection signal in the target ultrasonic spectrum so that the abnormal signal part will form a defect peak.

[0101] In this implementation, the detection device 10 can obtain a target defect ultrasonic spectrum by performing spectral normalization processing on the target ultrasonic spectrum; it should be understood that when there is a defect area at any detection position on the main surface of the battery cell to be tested, there will be a defect peak at the corresponding detection position in the target defect ultrasonic spectrum.

[0102] Exemplarily, the detection device 10 may perform spectrum normalization processing on the target ultrasonic spectrum according to a first preset normalization algorithm to obtain a target defect ultrasonic spectrum.

[0103] As another example, the detection device 10 may obtain a target defect ultrasonic spectrum by inputting the target ultrasonic spectrum into a first preset normalization model for spectral normalization processing; wherein the first preset normalization model may include but is not limited to a machine learning model.

[0104] Of course, the detection device 10 can also perform spectrum normalization processing on the target ultrasonic spectrum in other ways to obtain the target defect ultrasonic spectrum.

[0105] Furthermore, the detection device 10 can determine the size and position of each defect area on the main surface of the battery cell to be tested based on the information of each peak in the target defect ultrasonic spectrum. The information of the peak may include but is not limited to: peak width, peak height, and peak position.

[0106] Exemplarily, for any peak in the ultrasonic spectrum of the target defect, the detection device 10 can determine the position of the corresponding defect area according to the position of the peak, and determine the size of the corresponding defect area according to the ratio of the slit width to the peak height of the peak.

[0107] Of course, the detection device 10 can also determine the size and position of the corresponding defect area in other ways according to the information of the peak.

[0108] In another possible implementation, when the target detection image includes a target ultrasonic imaging image, the detection device 10 can be specifically used to: perform image normalization processing on the target ultrasonic imaging to obtain a target defect ultrasonic imaging image; and determine the size and position of each defect area existing on the main surface of the battery cell to be tested based on each abnormal color display area in the target defect ultrasonic imaging image.

[0109] The image normalization processing in the embodiment of the present application refers to setting the regular signal part of the defect detection signal in the target detection image to a preset color (such as white), and setting the abnormal signal part to other colors different from the preset color (such as black, etc.) to form an abnormal color display area.

[0110] In this implementation, the detection device 10 can obtain a target defect ultrasonic imaging diagram by performing image normalization processing on the target ultrasonic imaging; it should be understood that when there is a defect area at any detection position on the main surface of the battery cell to be tested, there will be an abnormally colored area at the corresponding detection position in the target defect ultrasonic spectrum.

[0111] Exemplarily, the detection device 10 may perform image normalization processing on the target ultrasonic imaging according to a second preset normalization algorithm to obtain an ultrasonic imaging image of the target defect.

[0112] As another example, the detection device 10 may obtain a target defect ultrasonic imaging image by inputting the target ultrasonic imaging into a second preset normalization model for image normalization processing; wherein the second preset normalization model may include but is not limited to a machine learning model.

[0113] Of course, the detection device 10 can also perform image normalization processing on the target ultrasonic imaging in other ways to obtain the target defect ultrasonic imaging image.

[0114] Furthermore, the detection device 10 determines the size and position of each defect area existing on the main surface of the battery cell to be tested according to each abnormal color display area in the target defect ultrasonic imaging image.

[0115] Exemplarily, for any abnormal color area in the target defect ultrasonic imaging image, the detection device 10 can determine the position of the corresponding defect area according to the position of the abnormal color area, and determine the size of the corresponding defect area according to the size of the abnormal color area.

[0116] Of course, the detection device 10 can also determine the size and position of the corresponding defect area in other ways based on the abnormal color development area.

[0117] Of course, the detection device 10 can also perform preset defect quantification processing on the target detection image in other ways to obtain the size and position of each defect area on the main surface of the battery cell to be tested, for example, a -6dB defect quantification method.

[0118] Furthermore, the detection device 10 may obtain a target defect detection result of the battery cell to be tested by performing a preset defect evaluation process on the size of each defect area existing on the main surface of the battery cell to be tested.

[0119] In an embodiment of the present application, the detection device 10 can perform a preset defect assessment process on the size of each defect area existing on the main surface of the battery cell to be tested according to the preset battery cell defect standard value to determine whether the defect condition of the battery cell to be tested meets the preset rejection requirements, thereby obtaining the target defect detection result.

[0120] Exemplarily, if the sizes of the defective regions on the main surface of the battery cell to be tested are all smaller than or equal to the preset battery cell defect standard value, the detection device 10 may determine that the defect condition of the battery cell to be tested does not meet the preset rejection requirement.

[0121] As another example, if the size of a partial defect area existing on the main surface of the battery cell to be tested is larger than a preset battery cell defect standard value, the detection equipment 10 can determine that the defect condition of the battery cell to be tested meets the preset rejection requirements, so as to facilitate the rejection of the battery cell to be tested, which is beneficial to improving the battery cell process quality rate.

[0122] As another example, if the number of defective areas on the main surface of the battery cell to be tested that are larger than the preset battery cell defect standard value exceeds a preset number threshold, the detection device 10 can determine that the defect condition of the battery cell to be tested meets the preset rejection requirements so as to reject the battery cell to be tested; if the number of defective areas on the main surface of the battery cell to be tested that are larger than the preset battery cell defect standard value does not exceed a preset number threshold, the detection device 10 can determine that the defect condition of the battery cell to be tested does not meet the preset rejection requirements.

[0123] Of course, the detection device 10 can also perform preset defect assessment processing on the size of each defect area existing on the main surface of the battery cell to be tested in other ways to obtain the target defect detection result of the battery cell to be tested. For example, the detection device 10 can input the size of each defect area existing on the main surface of the battery cell to be tested into a preset defect assessment model to perform preset defect assessment processing, etc.

[0124] In summary, in the embodiments of the present application, since the detection equipment obtains the size and position of each defect area existing on the main surface of the battery cell to be tested by performing preset defect quantification processing on the target detection image with the background noise influence eliminated, and performs preset defect evaluation processing on the size of each defect area existing on the main surface of the battery cell to be tested, it is beneficial to further improve the sensitivity of battery cell defect detection, thereby obtaining more accurate target defect detection results.

[0125] In some embodiments, Figure 4A schematic diagram of a detection system for battery cell detection provided in some other embodiments of the present application is shown in FIG. Figure 4 As shown, the signal transmitting assembly 11 may include: a first signal transmitter 110 (or referred to as a first ultrasonic die head) disposed at a target edge position of the battery cell to be tested, and a second signal transmitter 111 (or referred to as a second ultrasonic die head).

[0126] Combination Figure 2 and Figure 4 As shown, the first signal transmitter 110 can be used to transmit the first ultrasonic signal S1 under the control of the detection device 10, so that the signal receiving component 12 can collect the reference detection signal of the battery cell to be tested.

[0127] The second signal transmitter 111 can be used to transmit a second ultrasonic signal S2 from each detection position on the main surface of the battery cell to be tested under the control of the detection device 10, so that the signal receiving component 12 can collect dynamic detection signals corresponding to different detection positions on the main surface of the battery cell to be tested.

[0128] In some embodiments, Figure 5 A schematic diagram of a detection system for battery cell detection provided in some other embodiments of the present application is shown in FIG. Figure 5 As shown, the signal transmitting component 11 may further include a driving component 112 , wherein the driving component 112 may be used to drive the second signal transmitter 111 to transmit a second ultrasonic signal from each detection position on the main surface of the battery cell to be tested under the control of the detection device 10 .

[0129] In an embodiment of the present application, the driving component 112 can drive the second signal transmitter 111 to move to different detection positions on the main surface of the battery cell to be tested under the control of the detection device 10, so that the second ultrasonic signal can be flexibly emitted from different detection positions on the main surface of the battery cell to be tested.

[0130] Exemplarily, the driving assembly 112 may include a first driving motor and a second driving motor, wherein the first driving motor can be used to drive the second signal transmitter 111 to move along a first direction of the main surface of the battery cell to be tested under the control of the detection device 10, and the second driving motor can be used to drive the second signal transmitter 111 to move along a second direction of the main surface of the battery cell to be tested under the control of the detection device 10, so as to drive the second signal transmitter 111 to move to different detection positions on the main surface of the battery cell to be tested; wherein the first direction can be the length direction of the main surface, and the second direction can be the width direction of the main surface.

[0131] As another example, the drive component 112 may include a first hydraulic drive component and a second hydraulic drive component, wherein the first hydraulic drive component can be used to drive the second signal transmitter 111 to move along a first direction of the main surface of the battery cell to be tested under the control of the detection device 10, and the second hydraulic drive component can be used to drive the second signal transmitter 111 to move along a second direction of the main surface of the battery cell to be tested under the control of the detection device 10, so as to drive the second signal transmitter 111 to move to different detection positions on the main surface of the battery cell to be tested; wherein the first direction can be the length direction of the main surface, and the second direction can be the width direction of the main surface.

[0132] In summary, in the embodiments of the present application, a first signal transmitter arranged at a target edge position of the battery cell to be tested transmits a first ultrasonic signal, and a second signal transmitter transmits a second ultrasonic signal from each detection position on the main surface of the battery cell to be tested, so that the signal receiving component can collect a reference detection signal of the battery cell to be tested and a dynamic detection signal corresponding to different detection positions on the main surface of the battery cell to be tested, so that the detection equipment can perform signal processing on the reference detection signal and the dynamic detection signal to eliminate the influence of background noise on the defect detection signal, and obtain a target detection image that can be used to indicate the amplitude of the defect detection signal corresponding to different detection positions on the main surface of the battery cell to be tested.

[0133] In some embodiments, based on the above embodiments, the embodiments of the present application provide an exemplary introduction and description of the overall process of battery cell defect detection.

[0134] In the embodiment of the present application, an air-coupled ultrasonic vertical penetration method may be used as an ultrasonic detection method, and the signal receiving component 12 may include but is not limited to an air-coupled ultrasonic transducer, for example, a high-frequency air-coupled ultrasonic transducer.

[0135] 1) Preparations before cell defect detection

[0136] Before the battery cell defect detection begins, a resin sheet of corresponding size can be placed on the battery cell to be tested to create a simulated air layer so that more ultrasonic signals can be irradiated onto the battery cell to be tested, which is beneficial to improve the detection accuracy. Among them, the size of the resin sheet needs to cover the main surface of the battery cell to be tested.

[0137] The error of the signal transmitting component 11 in the coordinate axis direction of the main surface of the battery cell to be tested is calibrated, and the total attenuation of the ultrasonic signal on the transmission path is calculated based on the attenuation of the ultrasonic signal in the medium and the transmission attenuation of the ultrasonic signal through the battery cell, and the gain compensation level of the preamplifier in the signal receiving component 12 is set according to the total attenuation.

[0138] 2) Cell defect detection process

[0139] 1) Determine the target edge position of the cell to be tested

[0140] After the battery cell to be tested is set on a horizontal inspection table (or a battery cell placer), the first signal transmitter 110 is controlled to scan from the main surface of the battery cell to be tested to other surfaces. When scanning to the edge position, the background noise signal in the reference detection signal will attenuate due to the reduction in the corner thickness of the battery cell to be tested, and the signal attenuation inflection point is used as the reference detection signal collection point (the junction of the main surface and the corner of the battery cell to be tested), that is, the target edge position.

[0141] 2) Collect the reference detection signal and dynamic detection signal of the battery cell to be tested

[0142] On the one hand, the first ultrasonic signal is emitted at the target edge position of the battery cell to be tested by the first signal transmitter 110 so that the signal receiving component 12 can collect the reference detection signal of the battery cell to be tested.

[0143] On the other hand, the second ultrasonic signal is emitted at each detection position on the main surface of the battery cell to be tested by the second signal transmitter 111, so that the signal receiving component 12 can collect dynamic detection signals corresponding to different detection positions on the main surface of the battery cell to be tested.

[0144] 3) Signal processing

[0145] The detection device 10 can perform ratio processing on the dynamic detection signals corresponding to different detection positions on the main surface of the battery cell to be tested and the reference detection signals of the battery cell to be tested to eliminate the influence of background noise on the defect detection signals, and perform signal normalization processing on the reference detection signals of the battery cell to be tested, so as to obtain defect detection signals corresponding to different detection positions on the main surface of the battery cell to be tested that are easier to display.

[0146] The detection device 10 can also perform signal amplification processing on defect detection signals corresponding to different detection positions on the main surface of the battery cell to be tested, so as to obtain amplified defect detection signals corresponding to the different detection positions.

[0147] 4) Preset imaging processing

[0148] The detection device 10 can send the amplified defect detection signals corresponding to different detection positions to the imaging device 13, so that the imaging device 13 can perform preset imaging processing on the defect detection signals corresponding to different detection positions to obtain the target detection image, and return it to the detection device 10.

[0149] 5) Preset defect quantification processing

[0150] The detection device 10 performs preset defect quantification processing on the target detection image to obtain the size and position of each defect area existing on the main surface of the battery cell to be tested.

[0151] 6) Preset defect assessment and processing

[0152] The detection device 10 performs a preset defect evaluation process on the size of each defect area existing on the main surface of the battery cell to be tested, and obtains a target defect detection result of the battery cell to be tested.

[0153] It should be noted that the implementation methods of each step in the embodiments of the present application can refer to the relevant contents in the above embodiments and will not be repeated here.

[0154] In some embodiments, Figure 6 The present invention provides a flow chart of a detection method for battery cell detection in some embodiments of the present invention. In the embodiments of the present invention, the detection device in the above detection system embodiment is used as an example for description. Figure 6 As shown, the method of the embodiment of the present application may include the following steps:

[0155] Step S601, controlling the signal transmitting component to transmit a first ultrasonic signal from a target edge position of the cell to be tested, and to transmit a second ultrasonic signal from each detection position on the main surface of the cell to be tested; wherein the target edge position is a boundary position between the main surface of the cell to be tested and other surfaces.

[0156] Step S602, receiving a reference detection signal corresponding to the first ultrasonic signal and a dynamic detection signal corresponding to the second ultrasonic signal sent by a signal receiving component; wherein the dynamic detection signal includes a defect detection signal and a first background noise signal, and the first background noise signal is the same as the second background noise signal in the reference detection signal.

[0157] Step S603, perform ratio processing on the dynamic detection signal and the reference detection signal to obtain defect detection signals corresponding to different detection positions on the main surface of the battery cell to be tested, and determine a target detection image based on the defect detection signals; wherein the target detection image is used to indicate the amplitude of the defect detection signal corresponding to different detection positions on the main surface of the battery cell to be tested.

[0158] Step S604: performing preset defect processing on the target detection image to obtain a target defect detection result of the battery cell to be tested.

[0159] In some embodiments, determining a target detection image according to a defect detection signal includes:

[0160] Perform preset imaging processing on the defect detection signal to obtain a target detection image.

[0161] In some embodiments, the detection system further includes an imaging device, which determines a target detection image according to the defect detection signal, including:

[0162] sending defect detection signals to an imaging device;

[0163] Receive a target detection image returned by the imaging device; wherein the target detection image is an image obtained by the imaging device performing preset imaging processing on the defect detection signal.

[0164] In some embodiments, the method of the embodiment of the present application may further include the following steps:

[0165] Performing signal amplification processing on the defect detection signal to obtain an amplified defect detection signal;

[0166] The target detection image is determined according to the amplified defect detection signal.

[0167] In some embodiments, performing preset defect processing on the target detection image to obtain the target defect detection result of the battery cell to be tested includes:

[0168] Performing preset defect quantification processing on the target detection image to obtain the size and position of each defect area on the main surface of the battery cell to be tested;

[0169] The sizes of each defect area existing on the main surface of the battery cell to be tested are subjected to a preset defect evaluation process to obtain a target defect detection result of the battery cell to be tested.

[0170] In some embodiments, the target detection image includes a target ultrasonic spectrum, and a preset defect quantification process is performed on the target detection image to obtain the size and position of each defect area existing on the main surface of the battery cell to be tested, including:

[0171] Performing spectral normalization processing on the target ultrasonic spectrum to obtain the target defect ultrasonic spectrum;

[0172] According to the information of each peak in the ultrasonic spectrum of the target defect, the size and position of each defect area existing on the main surface of the battery cell to be tested are determined.

[0173] In some embodiments, the target detection image includes a target ultrasonic imaging image, and a preset defect quantification process is performed on the target detection image to obtain the size and position of each defect area existing on the main surface of the battery cell to be tested, including:

[0174] Performing image normalization processing on the target ultrasonic imaging to obtain the target defect ultrasonic imaging diagram;

[0175] According to each abnormal color display area in the target defect ultrasonic imaging image, the size and position of each defect area existing on the main surface of the battery cell to be tested are determined.

[0176] In some embodiments, the signal transmitting component includes: a first signal transmitter disposed at a target edge position of the battery cell to be tested, and a second signal transmitter, and controlling the signal transmitting component to transmit a first ultrasonic signal from the target edge position of the battery cell to be tested, and to transmit a second ultrasonic signal from each detection position on the main surface of the battery cell to be tested, including:

[0177] Controlling the first signal transmitter to transmit a first ultrasonic signal from a target edge position of the battery cell to be tested;

[0178] The second signal transmitter is controlled to transmit a second ultrasonic signal from each detection position on the main surface of the battery cell to be tested.

[0179] In some embodiments, the signal transmitting component further includes a driving component, which controls the second signal transmitter to transmit a second ultrasonic signal from each detection position on the main surface of the battery cell to be tested, including:

[0180] The control driving component drives the second signal transmitter to transmit the second ultrasonic signal from each detection position on the main surface of the battery cell to be tested.

[0181] The implementable manner of each step in the embodiment of the present application can refer to the relevant content in the above-mentioned embodiment of the detection system for battery cell detection, which will not be repeated here.

[0182] It should be understood that, although the steps in the flowcharts involved in the above embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps is not strictly limited in order, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above embodiments may include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0183] Based on the same inventive concept, the embodiment of the present application also provides a detection device for realizing the above-mentioned detection of battery cells. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above-mentioned method, so the specific limitations in one or more detection device embodiments provided below can refer to the limitations of the detection method for battery cell detection above, and will not be repeated here.

[0184] In some embodiments, Figure 7 This is a schematic diagram of the structure of a detection device for battery cell detection provided in some embodiments of the present application. The detection device provided in the embodiments of the present application can be applied to the detection device in the above-mentioned detection system embodiment of the present application. Figure 7 As shown, the detection device may include:

[0185] The control module 701 is used to control the signal transmitting component to transmit a first ultrasonic signal from a target edge position of the battery cell to be tested, and to transmit a second ultrasonic signal from each detection position on the main surface of the battery cell to be tested; wherein the target edge position is a boundary position between the main surface of the battery cell to be tested and other surfaces;

[0186] The receiving module 702 is used to receive a reference detection signal corresponding to the first ultrasonic signal and a dynamic detection signal corresponding to the second ultrasonic signal sent by the signal receiving component; wherein the dynamic detection signal includes a defect detection signal and a first background noise signal, and the first background noise signal is the same as the second background noise signal in the reference detection signal;

[0187] The first processing module 703 is used to perform ratio processing on the dynamic detection signal and the reference detection signal to obtain defect detection signals corresponding to different detection positions on the main surface of the battery cell to be tested, and determine a target detection image based on the defect detection signals; wherein the target detection image is used to indicate the amplitude of the defect detection signal corresponding to different detection positions on the main surface of the battery cell to be tested.

[0188] The second processing module 704 is used to perform preset defect processing on the target detection image to obtain a target defect detection result of the battery cell to be tested.

[0189] In some embodiments, the first processing module 703 is specifically used to:

[0190] Perform preset imaging processing on the defect detection signal to obtain a target detection image.

[0191] In some embodiments, the detection system further includes an imaging device, and the first processing module 703 is specifically used for:

[0192] sending defect detection signals to an imaging device;

[0193] Receive a target detection image returned by the imaging device; wherein the target detection image is an image obtained by the imaging device performing preset imaging processing on the defect detection signal.

[0194] In some embodiments, the first processing module 703 is further configured to:

[0195] The defect detection signal is amplified to obtain an amplified defect detection signal, and a target detection image is determined according to the amplified defect detection signal.

[0196] In some embodiments, the second processing module 704 includes:

[0197] A quantization unit, used to perform preset defect quantization processing on the target detection image to obtain the size and position of each defect area on the main surface of the battery cell to be tested;

[0198] The evaluation unit is used to perform a preset defect evaluation process on the size of each defect area existing on the main surface of the battery cell to be tested, so as to obtain a target defect detection result of the battery cell to be tested.

[0199] In some embodiments, the target detection image includes a target ultrasonic spectrum, and the quantification unit is specifically used to:

[0200] Performing spectral normalization processing on the target ultrasonic spectrum to obtain the target defect ultrasonic spectrum;

[0201] According to the information of each peak in the ultrasonic spectrum of the target defect, the size and position of each defect area existing on the main surface of the battery cell to be tested are determined.

[0202] In some embodiments, the target detection image includes a target ultrasound imaging image, and the quantization unit is specifically used to:

[0203] Performing image normalization processing on the target ultrasonic imaging to obtain the target defect ultrasonic imaging diagram;

[0204] According to each abnormal color display area in the target defect ultrasonic imaging image, the size and position of each defect area existing on the main surface of the battery cell to be tested are determined.

[0205] In some embodiments, the signal transmitting assembly includes: a first signal transmitter disposed at a target edge position of the battery cell to be tested, and a second signal transmitter, and the control module 701 includes:

[0206] A first control unit, used for controlling the first signal transmitter to transmit a first ultrasonic signal from a target edge position of the battery cell to be tested;

[0207] The second control unit is used to control the second signal transmitter to transmit the second ultrasonic signal from each detection position on the main surface of the battery cell to be tested.

[0208] In some embodiments, the signal transmitting component further includes a driving component, and the second control unit is specifically used for:

[0209] The control driving component drives the second signal transmitter to transmit the second ultrasonic signal from each detection position on the main surface of the battery cell to be tested.

[0210] The detection device for battery cell detection provided in the embodiment of the present application can be used to execute the technical solution in the above-mentioned detection method embodiment for battery cell detection of the present application. Its implementation principle and technical effect are similar and will not be repeated here.

[0211] Each module in the above-mentioned detection device for battery cell detection can be implemented in whole or in part by software, hardware and their combination. Each of the above-mentioned modules can be embedded in or independent of the processor in the detection device in the form of hardware, or can be stored in the memory in the detection device in the form of software, so that the processor can call and execute the corresponding operations of each of the above modules.

[0212] In some embodiments, Figure 8 A schematic diagram of the structure of the detection device provided in some embodiments of the present application, such as Figure 8 As shown, the detection device provided in the embodiment of the present application may include a processor, a memory, an input / output interface, a communication interface, a display unit and an input device. Among them, the processor, the memory and the input / output interface are connected through a system bus, and the communication interface, the display unit and the input device are connected to the system bus through the input / output interface. Among them, the processor of the detection device is used to provide computing and control capabilities. The memory of the detection device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The input / output interface of the detection device is used to exchange information between the processor and the external device. The communication interface of the detection device is used to communicate with an external device in a wired or wireless manner, and the wireless method can be implemented through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. When the computer program is executed by the processor to implement the technical solution in the embodiment of the detection method for battery cell detection in the present application, the implementation principle and technical effect are similar, and will not be repeated here. The display unit of the detection device is used to form a visually visible picture, which can be a display screen, a projection device or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the detection equipment can be a touch layer covering the display screen, or a button, trackball or touchpad set on the detection equipment shell, or an external keyboard, touchpad or mouse.

[0213] Those skilled in the art will understand that Figure 8 The structure shown in the figure is merely a block diagram of a partial structure related to the scheme of the present application, and does not constitute a limitation on the detection device to which the scheme of the present application is applied. The specific detection device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0214] In some embodiments, a detection device is also provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the technical solution in the above-mentioned detection method embodiment for battery cell detection in the present application is implemented. The implementation principle and technical effect are similar and will not be repeated here.

[0215] In some embodiments, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the technical solution in the above-mentioned detection method embodiment for battery cell detection in the present application is implemented. The implementation principle and technical effect are similar and will not be repeated here.

[0216] In some embodiments, a computer program product is provided, including a computer program. When the computer program is executed by a processor, the technical solution in the above-mentioned detection method embodiment for battery cell detection in the present application is implemented. The implementation principle and technical effect are similar and will not be repeated here.

[0217] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The processor involved in each embodiment provided in this application can be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic unit, a data processing logic unit based on quantum computing, etc., but is not limited thereto.

[0218] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them; although the present application 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 replace some or all of the technical features therein by equivalents; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present application, and they should all be included in the scope of the claims and specification of the present application. In particular, as long as there is no structural conflict, the various technical features mentioned in the various embodiments can be combined in any way. The present application is not limited to the specific embodiments disclosed herein, but includes all technical solutions that fall within the scope of the claims.

Claims

1. A detection system for battery cell detection, characterized in that: The detection system comprises: A signal transmitting component connected to the detection device, used for transmitting a first ultrasonic signal from a target edge position of the battery cell to be tested, and transmitting a second ultrasonic signal from each detection position of the main surface of the battery cell to be tested under the control of the detection device; wherein the target edge position is a boundary position between the main surface of the battery cell to be tested and other surfaces; a signal receiving component connected to the detection device, used to receive a reference detection signal corresponding to the first ultrasonic signal and a dynamic detection signal corresponding to the second ultrasonic signal, and send the reference detection signal and the dynamic detection signal to the detection device; wherein the dynamic detection signal includes a defect detection signal and a first background noise signal, and the first background noise signal is the same as the second background noise signal in the reference detection signal; The detection device is used to perform ratio processing on the dynamic detection signal and the reference detection signal to obtain defect detection signals corresponding to different detection positions on the main surface of the battery cell to be tested, and determine a target detection image according to the defect detection signals; wherein the target detection image is used to indicate the amplitude of the defect detection signal corresponding to different detection positions on the main surface of the battery cell to be tested; The detection device is also used to perform preset defect processing on the target detection image to obtain the target defect detection result of the battery cell to be tested.

2. The detection system according to claim 1, characterized in that: The detection device is specifically used to: perform preset imaging processing on the defect detection signal to obtain the target detection image.

3. The detection system according to claim 1, characterized in that: The detection system further includes an imaging device, and the detection device is specifically used to: send the defect detection signal to the imaging device; The imaging device is used to perform preset imaging processing on the defect detection signal to obtain the target detection image and return it to the detection device.

4. The detection system according to any one of claims 1 to 3, characterized in that: The detection device is also used for: The defect detection signal is amplified to obtain an amplified defect detection signal, and the target detection image is determined according to the amplified defect detection signal.

5. The detection system according to any one of claims 1 to 3, characterized in that: The detection device is specifically used for: Performing preset defect quantification processing on the target detection image to obtain the size and position of each defect area on the main surface of the battery cell to be tested; A preset defect assessment process is performed on the size of each defect area existing on the main surface of the battery cell to be tested to obtain a target defect detection result of the battery cell to be tested.

6. The detection system according to claim 5, characterized in that: The target detection image includes a target ultrasonic spectrum, and the detection device is specifically used for: Performing spectral normalization processing on the target ultrasonic spectrum to obtain a target defect ultrasonic spectrum; According to the information of each peak in the target defect ultrasonic spectrum, the size and position of each defect area existing on the main surface of the battery cell to be tested are determined.

7. The detection system according to claim 5, characterized in that: The target detection image includes a target ultrasonic imaging image, and the detection device is specifically used for: Performing image normalization processing on the target ultrasonic imaging to obtain a target defect ultrasonic imaging image; According to each abnormal color display area in the target defect ultrasonic imaging image, the size and position of each defect area existing on the main surface of the battery cell to be tested are determined.

8. The detection system according to any one of claims 1 to 3, characterized in that: The signal transmitting component comprises: A first signal transmitter disposed at the target edge position of the battery cell to be tested, configured to transmit the first ultrasonic signal under the control of the detection device; The second signal transmitter is used to transmit the second ultrasonic signal from each detection position on the main surface of the battery cell to be tested under the control of the detection device.

9. The detection system according to claim 8, characterized in that: The signal transmitting component also includes: A driving component is used to drive the second signal transmitter to transmit the second ultrasonic signal from each detection position on the main surface of the battery cell to be tested under the control of the detection device.

10. A detection method for battery cell detection, characterized in that: The method is applied to a detection device in a detection system according to any one of claims 1 to 9, and the method comprises: The control signal transmitting component transmits a first ultrasonic signal from a target edge position of the battery cell to be tested, and transmits a second ultrasonic signal from each detection position on the main surface of the battery cell to be tested; wherein the target edge position is a boundary position between the main surface of the battery cell to be tested and other surfaces; receiving a reference detection signal corresponding to the first ultrasonic signal and a dynamic detection signal corresponding to the second ultrasonic signal sent by a signal receiving component; wherein the dynamic detection signal includes a defect detection signal and a first background noise signal, and the first background noise signal is the same as the second background noise signal in the reference detection signal; Performing ratio processing on the dynamic detection signal and the reference detection signal to obtain defect detection signals corresponding to different detection positions on the main surface of the battery cell to be tested, and determining the target detection image according to the defect detection signals; wherein the target detection image is used to indicate the amplitude of the defect detection signal corresponding to different detection positions on the main surface of the battery cell to be tested; Perform preset defect processing on the target detection image to obtain the target defect detection result of the battery cell to be tested.

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