A method and system for monitoring expansion of a lithium battery

Abstract

The present invention discloses a method and system for monitoring the expansion of a lithium battery, the method comprising: forming an optical image of a lithium battery by irradiating with a light source; photographing the optical image by a micro camera; filtering the acquired image to obtain a first lithium battery image containing only the lithium battery; analyzing the first lithium battery image to obtain a first result characterizing whether the lithium battery has a bulging phenomenon; disrupting pixels in the first lithium battery image to obtain a second lithium battery image; analyzing the second lithium battery image to obtain a second result characterizing whether the lithium battery has a bulging phenomenon; combining the first result and the second result to finally determine whether the lithium battery has a bulging phenomenon. By performing multiple image analyses on the first lithium battery image and the second lithium battery image of the same lithium battery to be detected, it is comprehensively determined whether the lithium battery has a bulging phenomenon, which greatly increases the reliability and accuracy of the detection.

Description

Technical Field

[0001] The present invention relates to the technical field of lithium batteries, and in particular to a method and system for monitoring the expansion of lithium batteries. Background Art

[0002] As we all know, lithium batteries are a type of battery that uses lithium metal or lithium alloy as positive and negative electrode materials and a non-aqueous electrolyte solution. In addition, lithium battery expansion force testing can help us understand the performance and life of the battery. If the battery's expansion force is too large during charging and discharging, it may cause structural damage to the battery's internal structure, thus affecting the battery's performance and life. Through battery expansion force testing, we can predict problems that may occur during battery use and take appropriate measures to avoid these problems.

[0003] The principle of lithium battery expansion force test is to measure the battery expansion force by using the gas produced by the chemical reaction of the battery during the charging and discharging process; when the battery is charging, the chemical reaction between the positive and negative electrodes will produce gas, which will increase the pressure inside the battery, causing the battery to expand; similarly, when the battery is discharging, the chemical reaction will consume the gas, causing the pressure inside the battery to decrease, thus causing the battery to shrink.

[0004] In the prior art, the operation steps for monitoring the expansion force of lithium batteries are relatively complicated, which is not conducive to more rapid and effective monitoring. Summary of the invention

[0005] The embodiments of the present invention provide a method and system for monitoring the expansion of a lithium battery, which have the technical effects of high accuracy and high reliability.

[0006] The present invention provides a method for monitoring the expansion of a lithium battery, characterized in that the method comprises:

[0007] Optical imaging is formed by irradiating a light source installed at a fixed distance from the lithium battery;

[0008] photographing the optical image by a miniature camera installed at a fixed distance behind the light source;

[0009] The captured image is transmitted to the server via a wireless transmission module;

[0010] The server performs image filtering on the acquired image to obtain a first lithium battery image containing only the lithium battery;

[0011] Analyze the first lithium battery image to obtain a first result indicating whether the lithium battery has a bulging phenomenon;

[0012] Scramble the pixels of the first lithium battery image to obtain a second lithium battery image;

[0013] Analyze the second lithium battery image to obtain a second result indicating whether the lithium battery has a bulging phenomenon;

[0014] Based on the first result and the second result, it is finally determined whether the lithium battery has a bulging phenomenon.

[0015] In one possible implementation, after determining whether the lithium battery has a bulging phenomenon, the method further includes:

[0016] If it is determined that the lithium battery has a bulging phenomenon, the charging strategy is adjusted to extend the service life of the lithium battery.

[0017] In one possible implementation, during the process of adjusting the charging strategy, the method further includes:

[0018] Further determining the bulge thickness of the lithium battery;

[0019] Determining the bulging degree of the lithium battery according to the bulging thickness;

[0020] The charging strategy is adjusted according to the degree of swelling.

[0021] In one embodiment, the charging strategy includes at least one of the following:

[0022] Reduce the charging current during the constant current charging stage of the battery. The more serious the swelling is, the greater the proportion of charging current reduction will be.

[0023] Lower the voltage when charging is cut off. The more serious the bulging is, the more the voltage will be lowered when charging is cut off.

[0024] In one possible implementation, the determining the bulge thickness of the lithium battery includes:

[0025] Performing pixel normalization processing on the first lithium battery image or the second lithium battery image;

[0026] The bulge thickness of the lithium battery is determined based on the normalized image.

[0027] In one possible implementation manner, determining the bulge thickness of the lithium battery according to the normalized image includes:

[0028] Calculate the number of pixels or all pixels of the normalized image width;

[0029] The bulge thickness of the lithium battery is obtained from a preset relationship table according to the number of pixels.

[0030] In one possible implementation, the analyzing the first lithium battery image to obtain a first result indicating whether the lithium battery has a bulging phenomenon includes:

[0031] Repeatedly overlaying the first lithium battery image with the standard lithium battery image, and calculating the degree of overlay for each overlay;

[0032] Selecting the overlap position with the maximum overlap, and calculating the difference in the number of pixels between the first lithium battery image and the standard lithium battery image;

[0033] If the pixel quantity difference exceeds a preset threshold, a first result indicating that the lithium battery has bulged is obtained;

[0034] If the pixel quantity difference does not exceed a preset threshold, a first result is obtained indicating that the lithium battery has no bulge.

[0035] In one possible implementation, the step of shuffling pixels in the first lithium battery image to obtain the second lithium battery image includes:

[0036] The pixel values ​​at each position in the first lithium battery image are randomly shuffled or reversed to obtain a second lithium battery image.

[0037] In one possible implementation manner, the combining of the first result and the second result to finally determine whether the lithium battery has a bulging phenomenon includes:

[0038] If both the first result and the second result indicate that the lithium battery has a bulging phenomenon, it is determined that the lithium battery has a bulging phenomenon;

[0039] If both the first result and the second result indicate that the lithium battery does not have a bulging phenomenon, it is determined that the lithium battery does not have a bulging phenomenon;

[0040] If the first result or the second result indicates that the lithium battery has a bulging phenomenon, the pixels in the second lithium battery image are shuffled to obtain a third lithium battery image;

[0041] Analyzing the third lithium battery image to obtain a third result indicating whether the lithium battery has a bulging phenomenon;

[0042] According to the third result, it is finally determined whether the lithium battery has a bulging phenomenon.

[0043] Another aspect of the present invention provides a lithium battery expansion monitoring system, the system comprising:

[0044] An optical imaging module, used for forming an optical image by irradiating a light source installed at a fixed distance from the lithium battery;

[0045] An image capturing module, used for capturing the optical image by means of a miniature camera installed at a fixed distance behind the light source;

[0046] An image transmission module is used to transmit the captured image to the server via a wireless transmission module;

[0047] An image filtering module, used for the server to filter the acquired image to obtain a first lithium battery image containing only the lithium battery;

[0048] A first analysis module, configured to analyze the first lithium battery image to obtain a first result indicating whether the lithium battery has a bulging phenomenon;

[0049] A pixel resetting module, used for disrupting pixels in the first lithium battery image to obtain a second lithium battery image;

[0050] A second analysis module, used to analyze the second lithium battery image to obtain a second result indicating whether the lithium battery has a bulging phenomenon;

[0051] The judgment module is used to combine the first result and the second result to finally determine whether the lithium battery has a bulging phenomenon.

[0052] In an embodiment of the present invention, an optical image of a lithium battery to be detected is obtained by a light source and a micro camera; the server performs image filtering on the obtained image to obtain a first lithium battery image containing only the lithium battery; the first lithium battery image is analyzed to obtain a first result indicating whether the lithium battery has a bulging phenomenon; pixels in the first lithium battery image are scrambled to obtain a second lithium battery image; the second lithium battery image is analyzed to obtain a second result indicating whether the lithium battery has a bulging phenomenon; by performing multiple image analyses on the first lithium battery image and the second lithium battery image of the same lithium battery to be detected, a comprehensive judgment is made as to whether the lithium battery has a bulging phenomenon, thereby greatly increasing the reliability and accuracy of the detection. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] The above and other objects, features and advantages of the exemplary embodiments of the present invention will become readily understood by reading the detailed description below with reference to the accompanying drawings. In the accompanying drawings, several embodiments of the present invention are shown in an exemplary and non-limiting manner, in which:

[0054] In the drawings, the same or corresponding reference numerals represent the same or corresponding parts.

[0055] Figure 1 A schematic diagram of a lithium battery expansion monitoring method according to an embodiment of the present invention;

[0056] Figure 2 This is a structural diagram of a lithium battery expansion monitoring system according to an embodiment of the present invention. DETAILED DESCRIPTION

[0057] In order to make the purpose, features and advantages of the present invention more obvious and easy to understand, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0058] like Figure 1 As shown, the present invention provides a method for monitoring the expansion of a lithium battery, the method comprising:

[0059] Step 101, forming an optical image by irradiating a light source installed at a fixed distance from the lithium battery;

[0060] Step 102, photographing the optical image by a miniature camera installed at a fixed distance behind the light source;

[0061] Step 103, transmitting the captured image to the server via a wireless transmission module;

[0062] Step 104, the server performs image filtering on the acquired image to obtain a first lithium battery image containing only the lithium battery;

[0063] Step 105, analyzing the first lithium battery image to obtain a first result indicating whether the lithium battery has a bulging phenomenon;

[0064] Step 106, shuffling pixels in the first lithium battery image to obtain a second lithium battery image;

[0065] Step 107, analyzing the second lithium battery image to obtain a second result indicating whether the lithium battery has a bulging phenomenon;

[0066] Step 108, combining the first result and the second result to finally determine whether the lithium battery has a bulging phenomenon.

[0067] In this embodiment, in step 101, the lithium battery to be tested is fixedly placed on a workbench, and a light source is fixedly installed at a fixed distance from the lithium battery, the optimal distance being 1 to 2 m. The lithium battery is irradiated by the light source to form an optical image on the screen, wherein the optimal distance between the screen and the lithium battery is 2.5 to 3 m.

[0068] In step 102, the micro camera is preferably fixed behind the light source and installed at a fixed distance, the optimal fixed distance being 0.2 to 1.2 m. After the optical image appears on the screen, it is photographed by the micro camera to obtain an image of the lithium battery.

[0069] In step 103, the micro camera is pre-electrically connected to the single-chip microcomputer, which is electrically connected to the wireless transmitter. The micro camera first transmits the captured image to the single-chip microcomputer, which then sends the image to the wireless transmitter, which then transmits the image to the server via the wireless transmitter.

[0070] In step 104, after receiving the image of the lithium battery, the server filters the image to filter out all pixels except the image of the lithium battery. The specific filtering idea is:

[0071] Generally, the optical imaging of lithium batteries is mainly black. Therefore, if there are other colors in the image captured by the camera, the other colors are defaulted to noise. Therefore, when filtering, the part with pixel values ​​lower than the black pixel value is filtered to obtain the first lithium battery image containing only lithium batteries.

[0072] In step 105, the server analyzes the first lithium battery image to obtain a first result indicating whether the lithium battery has a bulging phenomenon. The specific analysis process is as follows:

[0073] Step 1051, repeatedly overlaying the first lithium battery image with the standard lithium battery image, and calculating the degree of overlay for each overlay;

[0074] Specifically, the standard lithium battery image is used as a reference, and the first lithium battery image is made to continuously change the image position and image angle. After each image change, the transformed first lithium battery image is overlapped with the standard lithium battery image. After the overlap, the overlap degree between the standard lithium battery image and the first lithium battery image is calculated. Thus, after traversing all image overlaps, several overlap values ​​will be obtained.

[0075] Step 1052, selecting the overlap position with the maximum overlap, and calculating the difference in the number of pixels between the first lithium battery image and the standard lithium battery image;

[0076] Specifically, the maximum overlap degree is selected from a plurality of overlap degrees, the overlap position with the maximum overlap degree is correspondingly found, and the difference in the number of pixels between the first lithium battery image and the standard lithium battery image is calculated.

[0077] Step 1053, if the pixel quantity difference exceeds a preset threshold, a first result indicating that the lithium battery has bulged is obtained;

[0078] Specifically, the calculated pixel quantity difference is compared with a preset threshold value. If the pixel quantity difference exceeds the preset threshold value, it means that the image of the first lithium battery is relatively large and a bulge has occurred.

[0079] Step 1054: If the pixel number difference does not exceed the preset threshold, a first result indicating that the lithium battery has no bulge is obtained.

[0080] Specifically, if the difference in the number of pixels does not exceed the preset threshold, it means that the first lithium battery image does not change much relative to the standard lithium battery image, and it is determined that no bulging phenomenon occurs.

[0081] In step 106, the pixel values ​​at each position in the first lithium battery image are randomly shuffled or reversed to obtain a second lithium battery image. The second lithium battery image is obtained by randomly shuffling or reversing, and the original pixel data of the first lithium battery image is retained while being differentiated. By analyzing the image twice, the first result and the second result are obtained respectively, so that the final result is more accurate and reliable.

[0082] In step 107 , the analysis of the second lithium battery image is the same as the analysis of the first lithium battery image, and will not be repeated.

[0083] In step 108, the first result and the second result are combined to finally determine whether the lithium battery has a bulging phenomenon, which is specifically:

[0084] If both the first result and the second result indicate that the lithium battery has a bulging phenomenon, it is determined that the lithium battery has a bulging phenomenon;

[0085] If both the first result and the second result indicate that the lithium battery does not have a bulging phenomenon, it is determined that the lithium battery does not have a bulging phenomenon;

[0086] If the first result or the second result indicates that the lithium battery has a bulging phenomenon, the pixels in the second lithium battery image are shuffled to obtain a third lithium battery image;

[0087] The third lithium battery image is analyzed to obtain a third result indicating whether the lithium battery has a bulging phenomenon. The analysis process is the same as that described above and will not be repeated.

[0088] Finally, based on the third result, it is directly determined whether the lithium battery has a bulging phenomenon. When the first result or the second result is inconsistent, the pixel values ​​of the second lithium battery image are disrupted again to obtain the third result. Based on the third result, it is directly determined whether the lithium battery has a bulging phenomenon. This increased result judgment reduces the possibility of misjudgment caused by test errors, thereby further improving the reliability of the results.

[0089] Thus, an optical image of a lithium battery to be detected is obtained through a light source and a micro camera; the server performs image filtering on the obtained image to obtain a first lithium battery image containing only the lithium battery; the first lithium battery image is analyzed to obtain a first result indicating whether the lithium battery has a bulging phenomenon; pixels in the first lithium battery image are scrambled to obtain a second lithium battery image; the second lithium battery image is analyzed to obtain a second result indicating whether the lithium battery has a bulging phenomenon; by performing multiple image analyses on the first lithium battery image and the second lithium battery image of the same lithium battery to be detected, a comprehensive judgment is made as to whether the lithium battery has a bulging phenomenon, thereby greatly increasing the reliability and accuracy of the detection.

[0090] In one embodiment, after determining whether the lithium battery has a bulging phenomenon, the method further includes:

[0091] Step 109: If it is determined that the lithium battery is swollen, the charging strategy is adjusted to extend the service life of the lithium battery.

[0092] In this embodiment, if it is determined that the lithium battery has a bulging phenomenon, the corresponding charging strategy needs to be adjusted to ensure the service life of the lithium battery.

[0093] In one embodiment, during the process of adjusting the charging strategy, the method further includes:

[0094] Step 1091, further determining the bulge thickness of the lithium battery;

[0095] Step 1092, determining the bulging degree of the lithium battery according to the bulging thickness;

[0096] Step 1093, adjust the charging strategy according to the degree of swelling.

[0097] In this embodiment, the charging strategy may include multiple strategies, and different bulging degrees correspond to different charging strategies.

[0098] The degree of bulging can be determined by the thickness of the bulge. The specific determination process in step 1091 is as follows:

[0099] The first lithium battery image or the second lithium battery image is subjected to pixel normalization processing. The normalization processing is to set the pixel values ​​of the image to be uniform, so as to subsequently calculate the number of pixels in the image according to the pixel values.

[0100] The bulge thickness of the lithium battery is determined according to the normalized image, specifically by calculating the number of width pixels or all pixels of the normalized image, and directly obtaining the bulge thickness of the lithium battery from a preset relationship table according to the number of pixels.

[0101] In step 1092, the degree of bulging of the lithium battery is determined based on the thickness of the bulge. For example, if the thickness exceeds 1 to 5 mm relative to a standard lithium battery, it may indicate a low degree of bulging. If the thickness exceeds 5 to 15 mm relative to a standard lithium battery, it may indicate a medium degree of bulging. If the thickness exceeds 15 mm relative to a standard lithium battery, it may indicate a high degree of bulging.

[0102] In step 1083, the charging strategy is adjusted according to the degree of bulging, wherein the charging strategy includes at least one of the following:

[0103] The first is to reduce the charging current during the constant current charging stage of the battery. The more serious the swelling is, the greater the proportion of charging current reduction will be.

[0104] The second method is to reduce the voltage when charging is cut off. The more serious the bulging is, the more the voltage will be reduced when charging is cut off.

[0105] The purpose of adjusting the charging strategy is first to reduce the risk of using lithium batteries, and second to extend the service life of lithium batteries.

[0106] Another aspect of the present invention provides a lithium battery expansion monitoring system, the system comprising:

[0107] The optical imaging module 201 is used to form an optical image by irradiating a light source installed at a fixed distance from the lithium battery;

[0108] An image capturing module 202 is used to capture optical images through a miniature camera installed at a fixed distance behind the light source;

[0109] The image transmission module 203 is used to transmit the captured image to the server via the wireless transmission module;

[0110] An image filtering module 204 is used for the server to filter the acquired image to obtain a first lithium battery image containing only lithium batteries;

[0111] A first analysis module 205 is used to analyze the first lithium battery image to obtain a first result indicating whether the lithium battery has a bulging phenomenon;

[0112] A pixel resetting module 206, configured to shuffle pixels in the first lithium battery image to obtain a second lithium battery image;

[0113] A second analysis module 207 is used to analyze the second lithium battery image to obtain a second result indicating whether the lithium battery has a bulging phenomenon;

[0114] The judgment module 208 is used to combine the first result and the second result to finally determine whether the lithium battery has a bulging phenomenon.

[0115] In this embodiment, in the optical imaging module 201, the lithium battery to be inspected is fixedly placed on a workbench, and a light source is fixedly installed at a fixed distance from the lithium battery, with the optimal distance being 1 to 2 m. The lithium battery is irradiated by the light source to form an optical image on the screen, wherein the optimal distance between the screen and the lithium battery is 2.5 to 3 m.

[0116] In the image capture module 202, the micro camera is preferably fixed behind the light source and installed at a fixed distance, and the optimal fixed distance is 0.2-1.2 m. After the optical image appears on the screen, it is photographed by the micro camera to obtain an image of the lithium battery.

[0117] In the image transmission module 203, the micro camera is pre-electrically connected to the single-chip microcomputer, and the single-chip microcomputer is electrically connected to the wireless transmitter. The micro camera first transmits the captured image to the single-chip microcomputer, and the single-chip microcomputer then sends the image to the wireless transmitter, and the image is transmitted to the server through the wireless transmitter.

[0118] In the image filtering module 204, after receiving the image of the lithium battery, the server filters the image to filter out all pixels except the image of the lithium battery. The specific filtering idea is:

[0119] Generally, the optical imaging of lithium batteries is mainly black. Therefore, if there are other colors in the image captured by the camera, the other colors are defaulted to noise. Therefore, when filtering, the part with pixel values ​​lower than the black pixel value is filtered to obtain the first lithium battery image containing only lithium batteries.

[0120] In the first analysis module 205, the server analyzes the first lithium battery image to obtain a first result indicating whether the lithium battery has a bulging phenomenon. The specific analysis process is as follows:

[0121] Repeatedly overlap the first lithium battery image with the standard lithium battery image, and calculate the overlap degree of each overlap;

[0122] Specifically, the standard lithium battery image is used as a reference, and the first lithium battery image is made to continuously change the image position and image angle. After each image change, the transformed first lithium battery image is overlapped with the standard lithium battery image. After the overlap, the overlap degree between the standard lithium battery image and the first lithium battery image is calculated. Thus, after traversing all image overlaps, several overlap values ​​will be obtained.

[0123] Selecting the overlap position with the maximum overlap degree, and calculating the difference in the number of pixels between the first lithium battery image and the standard lithium battery image;

[0124] Specifically, the maximum overlap degree is selected from a plurality of overlap degrees, the overlap position with the maximum overlap degree is correspondingly found, and the difference in the number of pixels between the first lithium battery image and the standard lithium battery image is calculated.

[0125] If the pixel number difference exceeds a preset threshold, a first result indicating that the lithium battery has bulged is obtained;

[0126] Specifically, the calculated pixel quantity difference is compared with a preset threshold value. If the pixel quantity difference exceeds the preset threshold value, it means that the image of the first lithium battery is relatively large and a bulge has occurred.

[0127] If the pixel number difference does not exceed the preset threshold, the first result indicating that the lithium battery has no bulge is obtained.

[0128] Specifically, if the difference in the number of pixels does not exceed the preset threshold, it means that the first lithium battery image does not change much relative to the standard lithium battery image, and it is determined that no bulging phenomenon occurs.

[0129] In the pixel resetting module 206, the pixel values ​​at each position in the first lithium battery image are randomly shuffled or reversed to obtain a second lithium battery image. The second lithium battery image is obtained by randomly shuffling or reversing, and the original pixel data of the first lithium battery image is retained while being differentiated. By analyzing the image twice, the first result and the second result are obtained respectively, so that the final result is more accurate and reliable.

[0130] In the second analysis module 207 , the analysis of the second lithium battery image is the same as the analysis of the first lithium battery image, and will not be repeated.

[0131] In the judgment module 208, the first result and the second result are combined to finally determine whether the lithium battery has a bulging phenomenon, which is specifically:

[0132] If both the first result and the second result indicate that the lithium battery has a bulging phenomenon, it is determined that the lithium battery has a bulging phenomenon;

[0133] If both the first result and the second result indicate that the lithium battery does not have a bulging phenomenon, it is determined that the lithium battery does not have a bulging phenomenon;

[0134] If the first result or the second result indicates that the lithium battery has a bulging phenomenon, the pixels in the second lithium battery image are shuffled to obtain a third lithium battery image;

[0135] The third lithium battery image is analyzed to obtain a third result indicating whether the lithium battery has a bulging phenomenon. The analysis process is the same as that described above and will not be repeated.

[0136] Finally, based on the third result, it is directly determined whether the lithium battery has a bulging phenomenon. When the first result or the second result is inconsistent, the pixel values ​​of the second lithium battery image are disrupted again to obtain the third result. Based on the third result, it is directly determined whether the lithium battery has a bulging phenomenon. This increased result judgment reduces the possibility of misjudgment caused by test errors, thereby further improving the reliability of the results.

[0137] Thus, an optical image of a lithium battery to be detected is obtained through a light source and a micro camera; the server performs image filtering on the obtained image to obtain a first lithium battery image containing only the lithium battery; the first lithium battery image is analyzed to obtain a first result indicating whether the lithium battery has a bulging phenomenon; pixels in the first lithium battery image are scrambled to obtain a second lithium battery image; the second lithium battery image is analyzed to obtain a second result indicating whether the lithium battery has a bulging phenomenon; by performing multiple image analyses on the first lithium battery image and the second lithium battery image of the same lithium battery to be detected, a comprehensive judgment is made as to whether the lithium battery has a bulging phenomenon, thereby greatly increasing the reliability and accuracy of the detection.

[0138] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine different embodiments or examples described in this specification and the features of different embodiments or examples, unless they are contradictory.

[0139] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description of the present invention, the meaning of "plurality" is two or more, unless otherwise clearly and specifically defined.

[0140] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. A method for monitoring the expansion of a lithium battery, characterized in that: The method comprises: Optical imaging is formed by irradiating a light source installed at a fixed distance from the lithium battery; photographing the optical image by a miniature camera installed at a fixed distance behind the light source; The captured image is transmitted to the server via a wireless transmission module; The server performs image filtering on the acquired image to obtain a first lithium battery image containing only the lithium battery; Analyze the first lithium battery image to obtain a first result indicating whether the lithium battery has a bulging phenomenon; Scramble the pixels of the first lithium battery image to obtain a second lithium battery image; Analyze the second lithium battery image to obtain a second result indicating whether the lithium battery has a bulging phenomenon; Based on the first result and the second result, it is finally determined whether the lithium battery has a bulging phenomenon.

2. The method according to claim 1, characterized in that After determining whether the lithium battery has a bulging phenomenon, the method further includes: If it is determined that the lithium battery has a bulging phenomenon, the charging strategy is adjusted to extend the service life of the lithium battery.

3. The method according to claim 2, characterized in that In the process of adjusting the charging strategy, the method further includes: Further determining the bulge thickness of the lithium battery; Determining the bulging degree of the lithium battery according to the bulging thickness; The charging strategy is adjusted according to the degree of swelling.

4. The method according to claim 3, characterized in that The charging strategy includes at least one of the following: Reduce the charging current during the constant current charging stage of the battery. The more serious the swelling is, the greater the proportion of charging current reduction will be. Lower the voltage when charging is cut off. The more serious the bulging is, the more the voltage will be lowered when charging is cut off.

5. The method according to claim 3, characterized in that: The determining the bulge thickness of the lithium battery includes: Performing pixel normalization processing on the first lithium battery image or the second lithium battery image; The bulge thickness of the lithium battery is determined based on the normalized image.

6. The method according to claim 5, characterized in that The step of determining the bulge thickness of the lithium battery according to the normalized image includes: Calculate the number of pixels or all pixels of the normalized image width; The bulge thickness of the lithium battery is obtained from a preset relationship table according to the number of pixels.

7. The method according to claim 5, characterized in that The analyzing the first lithium battery image to obtain a first result indicating whether the lithium battery has a bulging phenomenon includes: Repeatedly overlaying the first lithium battery image with the standard lithium battery image, and calculating the degree of overlay for each overlay; Selecting the overlap position with the maximum overlap, and calculating the difference in the number of pixels between the first lithium battery image and the standard lithium battery image; If the pixel quantity difference exceeds a preset threshold, a first result indicating that the lithium battery has bulged is obtained; If the pixel quantity difference does not exceed a preset threshold, a first result is obtained indicating that the lithium battery has no bulge.

8. The method according to claim 5, characterized in that The step of shuffling pixels in the first lithium battery image to obtain a second lithium battery image comprises: The pixel values ​​at each position in the first lithium battery image are randomly shuffled or reversed to obtain a second lithium battery image.

9. The method according to claim 1, characterized in that: The step of combining the first result and the second result to finally determine whether the lithium battery has a bulging phenomenon includes: If both the first result and the second result indicate that the lithium battery has a bulging phenomenon, it is determined that the lithium battery has a bulging phenomenon; If both the first result and the second result indicate that the lithium battery does not have a bulging phenomenon, it is determined that the lithium battery does not have a bulging phenomenon; If the first result or the second result indicates that the lithium battery has a bulging phenomenon, the pixels in the second lithium battery image are shuffled to obtain a third lithium battery image; Analyzing the third lithium battery image to obtain a third result indicating whether the lithium battery has a bulging phenomenon; According to the third result, it is finally determined whether the lithium battery has a bulging phenomenon.

10. A lithium battery expansion monitoring system, characterized in that: The system comprises: An optical imaging module, used for forming an optical image by irradiating a light source installed at a fixed distance from the lithium battery; An image capturing module, used for capturing the optical image by means of a miniature camera installed at a fixed distance behind the light source; An image transmission module is used to transmit the captured image to the server via a wireless transmission module; An image filtering module, used for the server to filter the acquired image to obtain a first lithium battery image containing only the lithium battery; A first analysis module, configured to analyze the first lithium battery image to obtain a first result indicating whether the lithium battery has a bulging phenomenon; A pixel resetting module, used for disrupting pixels in the first lithium battery image to obtain a second lithium battery image; A second analysis module, used to analyze the second lithium battery image to obtain a second result indicating whether the lithium battery has a bulging phenomenon; The judgment module is used to combine the first result and the second result to finally determine whether the lithium battery has a bulging phenomenon.

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