Battery pole piece porosity detection method, device, equipment and medium

Abstract

The invention discloses a battery pole piece porosity detection method, device and equipment and a medium. The battery pole piece porosity detection method comprises the following steps: acquiring scanning data obtained by scanning a battery pole piece sample to be detected by an X-ray microscope; determining an initial three-dimensional scanning image according to the scanning data; determining an effective three-dimensional scanning image of the sample according to the initial three-dimensional scanning image; and determining the porosity of the battery pole piece according to the gray value distribution information of the effective three-dimensional scanning image of the sample. By adopting the method for detecting the porosity of the battery pole piece, the detection precision of the porosity can be improved.

Description

Technical Field

[0001] The present invention relates to the field of battery technology, and in particular to a method, device, equipment and medium for detecting the porosity of a battery pole piece. Background Art

[0002] In the field of lithium battery research, the porosity of the pole piece is regarded as a key parameter. The size and distribution of the porosity determine the transmission of ions and the penetration of electrolyte, which in turn affects the capacity and performance of the battery. Therefore, accurate detection of the porosity of the pole piece is of vital importance for optimizing battery design.

[0003] Usually, a method combining scanning electron microscopy and focused ion beam technology is used to detect the porosity of battery pole pieces. First, the battery pole piece sample can be cut by focused ion beam technology, and then the surface of the cut battery pole piece sample is scanned by scanning electron microscope. This process is repeated. Finally, through multi-layer etching of focused ion beam and layer-by-layer scanning of scanning electron microscope, a three-dimensional structural schematic diagram of the battery pole piece sample can be obtained. The three-dimensional structural schematic diagram includes the distribution of pores in the battery pole piece sample, and the porosity of the battery pole piece sample can be determined based on the three-dimensional structural schematic diagram.

[0004] However, the above porosity detection method has the following problems: the battery electrode sample needs to be cut by a focused ion beam, which will damage the battery electrode sample during the cutting process, affecting the distribution of voids in the battery electrode sample, resulting in low detection accuracy. Summary of the invention

[0005] The present invention provides a battery pole piece porosity detection method, device, equipment and medium to solve the problem of low detection accuracy of the existing battery pole piece porosity detection method.

[0006] In a first aspect, an embodiment of the present invention provides a method for detecting the porosity of a battery electrode sheet, the method comprising:

[0007] Obtaining scanning data obtained by scanning the battery electrode sample to be tested with an X-ray microscope;

[0008] Determine an initial three-dimensional scan image according to the scan data;

[0009] Determine a sample effective three-dimensional scanning image according to the initial three-dimensional scanning image;

[0010] The porosity of the battery electrode is determined based on the gray value distribution information of the effective three-dimensional scanning image of the sample.

[0011] Optionally, the initial three-dimensional scanning image includes an air three-dimensional scanning image and an initial three-dimensional scanning image of a sample;

[0012] Determining a sample effective three-dimensional scanning image according to the initial three-dimensional scanning image includes:

[0013] Removing the air three-dimensional scanning image from the initial three-dimensional scanning image to retain the initial three-dimensional scanning image of the sample;

[0014] The initial three-dimensional scanning image of the sample is cut to obtain an effective three-dimensional scanning image of the sample, wherein the shape of the effective three-dimensional scanning image of the sample is similar to the shape of the battery pole piece sample to be tested.

[0015] Optionally, removing the air three-dimensional scanning image from the initial three-dimensional scanning image to retain the initial three-dimensional scanning image of the sample includes:

[0016] The initial three-dimensional scanning image is adjusted so that the air three-dimensional scanning image has the same background as the initial three-dimensional scanning image, and the sample initial three-dimensional scanning image has a different background from the initial three-dimensional scanning image.

[0017] Optionally, determining the porosity of the battery electrode sheet according to the gray value distribution information of the effective three-dimensional scanning image of the sample includes:

[0018] Determine pore distribution information in the effective three-dimensional scanning image of the sample according to the grayscale distribution information of the effective three-dimensional scanning image of the sample;

[0019] Determine the volume of each pore in the effective three-dimensional scanning image of the sample according to the pore distribution information;

[0020] The porosity of the battery electrode sample to be tested is determined according to the sum of the volumes of the plurality of pores and the total volume of the effective three-dimensional scanning image of the sample.

[0021] Optionally, the battery electrode sheet sample to be tested includes at least two sub-battery electrode sheet samples stacked along the thickness direction of the battery electrode sheet sample to be tested;

[0022] The sample effective three-dimensional scanning image includes at least two sub-sample effective three-dimensional scanning images stacked together; the sub-sample effective three-dimensional scanning images correspond one to one with the sub-battery pole piece samples;

[0023] Determining the porosity of the battery electrode sheet according to the gray value distribution information of the effective three-dimensional scanning image of the sample includes:

[0024] Determining the porosity of the sub-battery pole piece sample corresponding to the sub-sample effective three-dimensional scanning image according to the grayscale distribution information of the sub-sample effective three-dimensional scanning image;

[0025] The porosity of the battery electrode sheet sample to be tested is determined according to the porosity of each of the sub-battery electrode sheet samples.

[0026] Optionally, after determining the porosity of the battery electrode sheet sample to be tested according to the porosity of each of the sub-battery electrode sheet samples, the method further includes:

[0027] The porosity distribution of the battery electrode sample to be tested is determined according to the porosity of the sub-battery electrode sample.

[0028] Optionally, determining the porosity distribution of the battery electrode sheet sample to be tested according to the porosity of the sub-battery electrode sheet sample includes:

[0029] Determine the thickness of the sub-battery pole piece sample corresponding to the sub-sample effective three-dimensional scanning image according to the height of the sub-sample effective three-dimensional scanning image and the zoom factor of the X-ray microscope;

[0030] The porosity distribution of the battery electrode sheet sample to be tested is determined according to the thickness of each of the sub-battery electrode sheet samples and the porosity of each of the sub-battery electrode sheet samples.

[0031] In a second aspect, an embodiment of the present invention provides a battery electrode porosity detection device, the battery electrode porosity detection device comprising:

[0032] A scanning data acquisition unit, used to acquire scanning data obtained by scanning the battery electrode sample to be tested with an X-ray microscope;

[0033] A three-dimensional scanning image determining unit, configured to determine an initial three-dimensional scanning image according to the scanning data;

[0034] An effective area determination unit, used to determine a sample effective three-dimensional scanning image according to the initial three-dimensional scanning image;

[0035] A porosity determination unit is used to determine the porosity of the battery electrode according to the gray value distribution information of the effective three-dimensional scanning image of the sample.

[0036] In a third aspect, an embodiment of the present invention provides an electronic device, the electronic device comprising:

[0037] one or more processors;

[0038] a storage device for storing one or more programs,

[0039] When the one or more programs are executed by the one or more processors, the one or more processors implement the battery electrode porosity detection method as described in the first aspect.

[0040] In a fourth aspect, an embodiment of the present invention provides a storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the battery electrode porosity detection method as described in the first aspect.

[0041] According to the technical solution of the embodiment of the present invention, an effective three-dimensional scanning image of the sample can be obtained by scanning the battery pole piece sample to be tested with an X-ray microscope, and then the porosity of the battery pole piece can be determined based on the grayscale value distribution information of the effective three-dimensional scanning image of the sample. There is no need to cut the battery pole piece sample to be tested multiple times, which can avoid the situation where the pores inside the battery pole piece sample to be tested change due to damage, thereby causing low porosity detection accuracy, and solves the problem of low detection accuracy of existing battery pole piece porosity detection methods.

[0042] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0044] Figure 1 A flow chart of a battery electrode porosity detection method provided by an embodiment of the present invention;

[0045] Figure 2 A flow chart of another battery electrode porosity detection method provided by an embodiment of the present invention;

[0046] Figure 3 An initial three-dimensional scanning image provided by an embodiment of the present invention;

[0047] Figure 4 An initial three-dimensional scanning image of a sample provided by an embodiment of the present invention;

[0048] Figure 5 An effective three-dimensional scanning image of a sample provided by an embodiment of the present invention;

[0049] Figure 6 A flow chart of another battery electrode porosity detection method provided in an embodiment of the present invention;

[0050] Figure 7 A schematic diagram of pore distribution in an effective three-dimensional scanning image of a sample provided by an embodiment of the present invention;

[0051] Figure 8 A flow chart of another battery electrode porosity detection method provided in an embodiment of the present invention;

[0052] Fig. 9 A flow chart of another battery electrode porosity detection method provided in an embodiment of the present invention;

[0053] Fig.10 A schematic diagram of the porosity distribution of a battery electrode sample to be tested provided in an embodiment of the present invention;

[0054] Fig.11 A schematic diagram of porosity distribution of another battery electrode sample to be tested provided in an embodiment of the present invention;

[0055] Fig.12 A schematic structural diagram of a battery electrode porosity detection device provided by an embodiment of the present invention;

[0056] Fig.13 A schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0057] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme 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 ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0058] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0059] Embodiment 1

[0060] Figure 1A flow chart of a battery pole piece porosity detection method provided in an embodiment of the present invention. The battery pole piece porosity detection method in an embodiment of the present invention is applicable to the situation where the porosity of the battery pole piece needs to be detected. The battery pole piece porosity detection method can be performed by a battery pole piece porosity detection device, which can be implemented by software and / or hardware and specifically configured in an electronic device. Figure 1 The battery electrode porosity detection method in the embodiment of the present invention includes:

[0061] S110, obtaining scanning data obtained by scanning the battery electrode sample to be tested with an X-ray microscope.

[0062] For example, before scanning the battery electrode sample to be tested with an X-ray microscope, it is necessary to prepare a battery electrode sample of suitable size and fix the prepared battery electrode sample to be tested on the sample table. Specifically, the battery electrode sample to be tested can be cut into a battery electrode sample to be tested with a length between 2mm-3mm, a width between 0.5mm-1mm and a thickness between 0.1mm-0.2mm by a cutting device, and the battery electrode sample to be tested can be fixed vertically on the sample table with glue along the thickness direction of the battery electrode sample to be tested.

[0063] It is understandable that before scanning the battery electrode sample to be tested with an X-ray microscope, the parameters of the X-ray microscope need to be adjusted, and the parameters of the X-ray microscope may include acceleration voltage, scanning resolution and zoom factor. After the adjustment, the X-ray microscope can be used to scan the battery electrode sample to be tested and obtain the corresponding scanning data.

[0064] S120: Determine an initial three-dimensional scanning image according to the scanning data.

[0065] Exemplarily, the acquired scan data is imported into data analysis software, and the data analysis software converts the scan data into a corresponding initial three-dimensional scan image after reading the scan data. The data analysis software may be Dragonfly or Avizo.

[0066] S130, determining a sample effective three-dimensional scanning image according to the initial three-dimensional scanning image.

[0067] It is understandable that when an X-ray microscope scans the battery electrode sample to be tested, it will not only scan the battery electrode sample to be tested, but also other objects. Therefore, there will be interference in the initial three-dimensional scanning image determined according to the scanning data. In order to ensure the accuracy of the porosity of the battery electrode obtained in the end, an effective three-dimensional scanning image of the sample will be obtained based on the initial three-dimensional scanning image.

[0068] S140, determining the porosity of the battery electrode according to the gray value distribution information of the effective three-dimensional scanning image of the sample.

[0069] It can be understood that the grayscale of the pores in the battery electrode sample to be tested in the effective three-dimensional scanning image of the sample is different from the grayscale of the non-porous area in the battery electrode sample to be tested in the effective three-dimensional scanning image of the sample. Based on this, the porosity of the battery electrode can be determined by the grayscale value distribution information of the effective three-dimensional scanning image of the sample.

[0070] The embodiment of the present invention can obtain an effective three-dimensional scanning image of the sample by scanning the battery pole piece sample to be tested with an X-ray microscope, and then determine the porosity of the battery pole piece based on the grayscale value distribution information of the effective three-dimensional scanning image of the sample. There is no need to cut the battery pole piece sample to be tested multiple times, which can avoid the situation where the pores inside the battery pole piece sample to be tested change due to damage, thereby causing low porosity detection accuracy, thereby solving the problem of low detection accuracy of existing battery pole piece porosity detection methods.

[0071] It should be noted that the initial three-dimensional scanning image includes an air three-dimensional scanning image and an initial three-dimensional scanning image of a sample. Figure 2 A flow chart of another battery electrode porosity detection method provided by an embodiment of the present invention, Figure 2 The embodiment shown in the figure describes in detail how to determine the effective three-dimensional scanning image of the sample based on the initial three-dimensional scanning image. Figure 2 The battery electrode porosity detection method in the embodiment of the present invention includes:

[0072] S210, obtaining scanning data obtained by scanning the battery electrode sample to be tested with an X-ray microscope.

[0073] S220: Determine an initial three-dimensional scanning image according to the scanning data.

[0074] Figure 3 An initial three-dimensional scanning image provided by an embodiment of the present invention, Figure 3 The initial three-dimensional scanning image shown includes an air three-dimensional scanning image and a sample initial three-dimensional scanning image.

[0075] S230, removing the air three-dimensional scanning image from the initial three-dimensional scanning image to retain the initial three-dimensional scanning image of the sample.

[0076] As a feasible implementation method, the air three-dimensional scanning image in the initial three-dimensional scanning image is removed to retain the sample initial three-dimensional scanning image, including: adjusting the initial three-dimensional scanning image so that the air three-dimensional scanning image has the same background as the initial three-dimensional scanning image, and the sample initial three-dimensional scanning image has a different background from the initial three-dimensional scanning image.

[0077] Since the battery pole piece sample to be tested in the embodiment of the present invention is a rectangular parallelepiped and the shape of the scanning range of the X-ray microscope is a cylinder, the initial three-dimensional scanning image determined in step S220 includes not only the three-dimensional scanning image of the battery pole piece sample to be tested, but also the three-dimensional scanning image of the air surrounding the battery pole piece sample to be tested.

[0078] like Figure 3 As shown, there is an obvious difference in color depth between the three-dimensional scanning image corresponding to the battery pole sample to be tested and the three-dimensional scanning image corresponding to the air. This is because the density of the battery pole sample to be tested is different from the density of air. When detecting the porosity of the battery pole sample to be tested, only the three-dimensional scanning image of the battery pole sample to be tested is valid. In order to prevent the three-dimensional scanning image of the air from affecting the detection of the porosity, an embodiment of the present invention can make the background of the three-dimensional scanning image of the air the same as that of the initial three-dimensional scanning image, and the background of the initial three-dimensional scanning image of the sample is different from that of the initial three-dimensional scanning image, thereby achieving the purpose of removing the three-dimensional scanning image of the air and retaining the initial three-dimensional scanning image of the sample. Figure 4 An initial three-dimensional scanning image of a sample provided by an embodiment of the present invention, such as Figure 4 As shown, the adjusted initial three-dimensional scanning image only contains the initial three-dimensional scanning image of the sample corresponding to the battery electrode sample to be tested.

[0079] S240, cutting the initial three-dimensional scanning image of the sample to obtain an effective three-dimensional scanning image of the sample, wherein the shape of the effective three-dimensional scanning image of the sample is similar to the shape of the battery electrode sample to be tested.

[0080] Similarly, since the battery electrode sample to be tested is a rectangular parallelepiped, and the shape of the scanning range of the X-ray microscope is a cylinder, the edge of the three-dimensional scanning image of the battery electrode sample to be tested in the initial three-dimensional scanning image determined in step S220 will be missing compared to the actual battery electrode sample to be tested and it is not convenient to calculate the porosity, and the shape of the sample initial three-dimensional scanning image determined in step S230 will also be irregular. In order to achieve accurate detection of porosity, it is necessary to remove the irregular parts at the edge of the sample initial three-dimensional scanning image. It should be noted that the edge of the sample initial three-dimensional scanning image corresponding to the battery electrode sample to be tested in the initial three-dimensional scanning image determined in step S220 in the thickness direction is not missing compared to the actual battery electrode sample to be tested. Therefore, it is only necessary to cut the shape of the sample initial three-dimensional scanning image in the length and width directions, and make the shape of the cut sample initial three-dimensional scanning image similar to the shape of the battery electrode sample to be tested, wherein the cut sample initial three-dimensional scanning image is the effective three-dimensional scanning image of the sample. For example, if the battery electrode sample to be tested is rectangular, the shape of the effective three-dimensional scanning image of the sample is also rectangular. Figure 5 An effective three-dimensional scanning image of a sample provided by an embodiment of the present invention can be obtained by cutting the initial three-dimensional scanning image of the sample. Figure 5 The shown sample is an effective 3D scanning image of a rectangular parallelepiped.

[0081] S250, determining the porosity of the battery electrode according to the gray value distribution information of the effective three-dimensional scanning image of the sample.

[0082] As a feasible implementation method, Figure 6 A flow chart of another battery electrode porosity detection method provided in an embodiment of the present invention, Figure 6 The embodiment shown in the figure describes in detail how to determine the porosity of the battery electrode sheet according to the gray value distribution information of the effective three-dimensional scanning image of the sample, referring to Figure 6 The battery electrode porosity detection method in the embodiment of the present invention includes:

[0083] S310, obtaining scanning data obtained by scanning the battery electrode sample to be tested with an X-ray microscope.

[0084] S320: Determine an initial three-dimensional scanning image according to the scanning data.

[0085] S330, determining an effective three-dimensional scanning image of the sample according to the initial three-dimensional scanning image.

[0086] S340, determining pore distribution information in the effective three-dimensional scanning image of the sample according to the grayscale distribution information of the effective three-dimensional scanning image of the sample.

[0087] It can be understood that the grayscale of the pores in the battery electrode sample to be tested in the effective three-dimensional scanning image of the sample is different from the grayscale of the non-porous area in the battery electrode sample to be tested in the effective three-dimensional scanning image of the sample. Based on this, the pore distribution information in the effective three-dimensional scanning image of the sample can be determined according to the grayscale distribution information of the effective three-dimensional scanning image of the sample. Figure 7 A schematic diagram of pore distribution in an effective three-dimensional scanning image of a sample provided by an embodiment of the present invention. The pores are highlighted in color. Figure 7 The distribution of pores in the effective 3D scanning image can be clearly seen.

[0088] S350, determining the volume of each pore in the effective three-dimensional scanning image of the sample according to the pore distribution information.

[0089] For example, the pores in the battery electrode sample to be tested are not evenly distributed and their sizes are also different. After determining the pore distribution information in the effective three-dimensional scanning image of the sample, the volume of each pore in the effective three-dimensional scanning image of the sample can be determined based on the pore distribution information.

[0090] Specifically, the effective three-dimensional scanning image of the sample in the embodiment of the present invention can be regarded as composed of several virtual slices. Figure 7 The distribution of pores at different virtual slices can be clearly seen, and the volume of each pore at the virtual slice can be determined based on the distribution information of the pores at the virtual slice, thereby determining the volume of each pore in the effective three-dimensional scanning image of the sample.

[0091] S360, determining the porosity of the battery electrode sample to be tested according to the sum of the volumes of the plurality of pores and the total volume of the effective three-dimensional scanning image of the sample.

[0092] Exemplarily, the porosity of the battery electrode sample to be tested can be determined by calculating the ratio of the sum of the volumes of all pores in the effective three-dimensional scanning image to the total volume of the effective three-dimensional scanning image.

[0093] It should be noted that the battery pole piece sample to be tested includes at least two sub-battery pole piece samples stacked along the thickness direction of the battery pole piece sample to be tested. The sample effective three-dimensional scanning image includes at least two sub-sample effective three-dimensional scanning images stacked. The sub-sample effective three-dimensional scanning image corresponds to the sub-battery pole piece sample one by one.

[0094] As another possible implementation, Figure 8 A flow chart of another battery electrode porosity detection method provided in an embodiment of the present invention, Figure 8 The embodiment shown in the figure describes in detail how to determine the porosity of the battery electrode sheet according to the gray value distribution information of the effective three-dimensional scanning image of the sample, referring to Figure 8 The battery electrode porosity detection method in the embodiment of the present invention includes:

[0095] S410, obtaining scanning data obtained by scanning the battery electrode sample to be tested with an X-ray microscope.

[0096] S420: Determine an initial three-dimensional scanning image according to the scanning data.

[0097] S430, determining a valid three-dimensional scanning image of the sample according to the initial three-dimensional scanning image.

[0098] S440. Determine the porosity of the sub-battery pole piece sample corresponding to the sub-sample effective three-dimensional scanning image according to the grayscale distribution information of the sub-sample effective three-dimensional scanning image.

[0099] Exemplarily, each sub-sample effective three-dimensional scanning image corresponds to a sub-battery pole piece sample. The grayscale of the pores in the sub-battery pole piece sample in the sub-sample effective three-dimensional scanning image is different from the grayscale of the non-pore area in the sub-battery pole piece sample in the sub-sample effective three-dimensional scanning image. Based on this, the porosity of the sub-battery pole piece sample corresponding to the sub-sample effective three-dimensional scanning image can be determined according to the grayscale distribution information of the sub-sample effective three-dimensional scanning image.

[0100] It should be noted that the effective three-dimensional scanned image of the sub-sample in the embodiment of the present invention is equivalent to the virtual slice mentioned in the above embodiment. Figure 7 The distribution of pores in the effective three-dimensional scanning images of different sub-samples can be clearly seen.

[0101] S450, determining the porosity of the battery electrode sheet sample to be tested according to the porosity of each sub-battery electrode sheet sample.

[0102] Exemplarily, the porosity of the battery electrode sample to be tested can be determined by calculating the average porosity of all sub-battery electrode samples, and then the porosity of the battery electrode is determined, and the porosity of the battery electrode is the same as the porosity of the battery electrode sample to be tested.

[0103] Based on the above embodiments, Fig. 9 A flow chart of another battery electrode porosity detection method provided in an embodiment of the present invention, Fig. 9 The embodiment shown enriches the process of the battery electrode porosity detection method, refer to Fig. 9 The battery electrode porosity detection method in the embodiment of the present invention includes:

[0104] S510, obtaining scanning data obtained by scanning the battery electrode sample to be tested with an X-ray microscope.

[0105] S520: Determine an initial three-dimensional scanning image according to the scanning data.

[0106] S530, determining a sample effective three-dimensional scanning image according to the initial three-dimensional scanning image.

[0107] S540. Determine the porosity of the sub-battery pole piece sample corresponding to the sub-sample effective three-dimensional scanning image according to the grayscale distribution information of the sub-sample effective three-dimensional scanning image.

[0108] S550, determining the porosity of the battery electrode sheet sample to be tested according to the porosity of each sub-battery electrode sheet sample.

[0109] S560. Determine the porosity distribution of the battery electrode sample to be tested according to the porosity of the sub-battery electrode sample.

[0110] For example, after the porosity of each sub-battery pole piece sample is determined, the porosity distribution of the battery pole piece sample to be tested can be displayed in the form of a chart.

[0111] It should be noted that the embodiments of the present invention do not limit the number of sub-battery pole sheet samples included in the battery pole sheet sample to be tested, and the number of sub-sample effective three-dimensional scanning images included in the sample effective three-dimensional scanning image. It can be understood that the greater the number of sub-battery pole sheet samples and the number of sub-sample effective three-dimensional scanning images, the more detailed the porosity distribution of the battery pole sheet sample to be tested, and technical personnel in this field can set it according to actual needs.

[0112] As a feasible implementation method, the porosity distribution of the battery pole sheet sample to be tested is determined according to the porosity of the sub-battery pole sheet sample, including: determining the thickness of the sub-battery pole sheet sample corresponding to the effective three-dimensional scanning image of the sub-sample according to the height of the effective three-dimensional scanning image of the sub-sample and the zoom factor of the X-ray microscope; determining the porosity distribution of the battery pole sheet sample to be tested according to the thickness of each sub-battery pole sheet sample and the porosity of each sub-battery pole sheet sample.

[0113] Exemplarily, each sub-sample effective three-dimensional scanning image corresponds to a sub-battery pole sheet sample, and the correspondence between the height of each sub-sample effective three-dimensional scanning image and the thickness of its corresponding sub-battery pole sheet sample can be determined by the zoom factor of the X-ray microscope. Before determining the porosity distribution of the battery pole sheet sample to be tested, the porosity of the sub-battery pole sheet sample needs to be matched with its actual thickness. Therefore, before determining the porosity distribution of the battery pole sheet sample to be tested, the thickness of the sub-battery pole sheet sample corresponding to the sub-sample effective three-dimensional scanning image can be determined based on the height of the sub-sample effective three-dimensional scanning image and the zoom factor of the X-ray microscope.

[0114] After determining the thickness of each sub-battery pole piece sample and the porosity of each sub-battery pole piece sample, the porosity distribution of the battery pole piece sample to be tested can be determined based on this, and the porosity distribution of the battery pole piece sample to be tested can be expressed in the form of a curve.

[0115] In a feasible implementation, take a piece of negative electrode of a lithium battery, cut it into a battery electrode sample to be tested with a length of about 3 mm, a width of about 1 mm, and a thickness of about 0.2 mm, and fix the battery electrode sample to be tested vertically on the battery electrode sample table along its thickness direction. Adjust the acceleration voltage of the X-ray microscope to 80 kV, the scanning resolution to 300 nm, and the zoom factor to 1000. After the adjustment, scan the battery electrode sample to be tested to obtain the scan data of the battery electrode sample to be tested. After importing the acquired scanning data into the Dragonfly software, a three-dimensional scanned image can be obtained. After logarithmic transformation adjustment and cutting of the three-dimensional scanned image, an effective three-dimensional scanned image of the sample with a similar shape to the battery electrode sample to be tested can be obtained. Then, according to the grayscale distribution information of the effective three-dimensional scanned image of the sample, the overall porosity of the battery electrode sample to be tested and the porosity distribution of the battery electrode sample to be tested can be determined. Specifically, the porosity distribution of the above-mentioned battery electrode sample to be tested is detailed in the Fig.10 .

[0116] In another feasible implementation, take a piece of negative electrode of a lithium battery, cut it into a battery electrode sample to be tested with a length of about 2.5 mm, a width of about 0.8 mm, and a thickness of about 0.2 mm, and fix the battery electrode sample to be tested vertically on the battery electrode sample table along its thickness direction. Adjust the acceleration voltage of the X-ray microscope to 50 kV, the scanning resolution to 300 nm, and the zoom factor to 1000. After the adjustment, scan the battery electrode sample to be tested to obtain the scan data of the battery electrode sample to be tested. After importing the acquired scanning data into the Dragonfly software, a three-dimensional scanned image can be obtained. After logarithmic transformation adjustment and cutting of the three-dimensional scanned image, an effective three-dimensional scanned image of the sample with a similar shape to the battery electrode sample to be tested can be obtained. Then, according to the grayscale distribution information of the effective three-dimensional scanned image of the sample, the overall porosity of the battery electrode sample to be tested and the porosity distribution of the battery electrode sample to be tested can be determined. Specifically, the porosity distribution of the above-mentioned battery electrode sample to be tested is detailed in the Fig.11 .

[0117] The embodiment of the present invention also provides a battery electrode porosity detection device, Fig.12 A schematic diagram of a battery electrode porosity detection device provided by an embodiment of the present invention, referring to Fig.12 , the battery electrode porosity detection device in the embodiment of the present invention comprises:

[0118] The scanning data acquisition unit 610 is used to acquire the scanning data obtained by scanning the battery electrode sample to be tested with an X-ray microscope.

[0119] The three-dimensional scanning image determining unit 620 is used to determine an initial three-dimensional scanning image according to the scanning data.

[0120] The effective area determination unit 630 is used to determine the effective three-dimensional scanning image of the sample according to the initial three-dimensional scanning image.

[0121] The porosity determination unit 640 is used to determine the porosity of the battery electrode according to the gray value distribution information of the effective three-dimensional scanning image of the sample.

[0122] Optionally, the porosity determination unit 640 in the embodiment of the present invention may include a sub-battery pole sheet sample porosity determination unit and a battery pole sheet sample porosity determination unit to be tested, and the battery pole sheet porosity detection device may further include a battery pole sheet sample porosity distribution determination unit to be tested. Specifically, the sub-battery pole sheet sample porosity determination unit is used to determine the porosity of the sub-battery pole sheet sample corresponding to the sub-sample effective three-dimensional scanning image based on the grayscale distribution information of the sub-sample effective three-dimensional scanning image. The battery pole sheet sample porosity determination unit to be tested is used to determine the porosity of the battery pole sheet sample to be tested based on the porosity of each sub-battery pole sheet sample. The battery pole sheet sample porosity distribution determination unit to be tested is used to determine the porosity distribution of the battery pole sheet sample to be tested based on the porosity of the sub-battery pole sheet sample.

[0123] The battery pole piece porosity detection device provided in the embodiment of the present invention can execute the battery pole piece porosity detection method provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0124] Fig.13 A schematic diagram of the structure of an electronic device provided by an embodiment of the present invention, Fig.13 A schematic diagram of the structure of an electronic device 700 that can be used to implement an embodiment of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or required herein.

[0125] like Fig.13As shown, the electronic device 700 includes at least one processor 710, and a memory connected to the at least one processor 710 in communication, such as a read-only memory (ROM) 720, a random access memory (RAM) 730, etc., wherein the memory stores a computer program that can be executed by at least one processor, and the processor 710 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 720 or the computer program loaded from the storage unit 780 to the random access memory (RAM) 730. In the RAM 730, various programs and data required for the operation of the electronic device 700 can also be stored. The processor 710, the ROM 720, and the RAM 730 are connected to each other through a bus 740. An input / output (I / O) interface 750 is also connected to the bus 740.

[0126] A number of components in the electronic device 700 are connected to the I / O interface 750, including: an input unit 760, such as a keyboard, a mouse, etc.; an output unit 770, such as various types of displays, speakers, etc.; a storage unit 780, such as a disk, an optical disk, etc.; and a communication unit 790, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 790 allows the electronic device 700 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0127] The processor 710 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the processor 710 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The processor 710 performs the various methods and processes described above, such as a battery pole piece porosity detection method.

[0128] In some embodiments, the battery pole piece porosity detection method may be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 780. In some embodiments, part or all of the computer program may be loaded and / or installed on the electronic device 700 via the ROM 720 and / or the communication unit 790. When the computer program is loaded into the RAM 730 and executed by the processor 710, one or more steps of the battery pole piece porosity detection method described above may be performed. Alternatively, in other embodiments, the processor 710 may be configured to perform the battery pole piece porosity detection method in any other appropriate manner (e.g., by means of firmware).

[0129] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0130] Computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that when the computer program is executed by the processor, the functions / operations specified in the flow chart and / or block diagram are implemented. The computer program may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0131] In the context of the present invention, a computer-readable storage medium may be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, device, or equipment. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, or equipment, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0132] To provide interaction with a user, the systems and techniques described herein may be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form (including acoustic input, voice input, or tactile input).

[0133] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0134] A computing system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The client and server relationship is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services.

[0135] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and this document does not limit this.

[0136] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for detecting the porosity of a battery electrode, characterized in that: include: Obtaining scanning data obtained by scanning the battery electrode sample to be tested with an X-ray microscope; Determine an initial three-dimensional scan image according to the scan data; Determine a sample effective three-dimensional scanning image according to the initial three-dimensional scanning image; The porosity of the battery electrode is determined based on the gray value distribution information of the effective three-dimensional scanning image of the sample.

2. The battery pole piece porosity detection method according to claim 1, characterized in that: The initial three-dimensional scanning image includes an air three-dimensional scanning image and an initial three-dimensional scanning image of the sample; Determining a sample effective three-dimensional scanning image according to the initial three-dimensional scanning image includes: Removing the air three-dimensional scanning image from the initial three-dimensional scanning image to retain the initial three-dimensional scanning image of the sample; The initial three-dimensional scanning image of the sample is cut to obtain an effective three-dimensional scanning image of the sample, wherein the shape of the effective three-dimensional scanning image of the sample is similar to the shape of the battery pole piece sample to be tested.

3. The porosity detection method according to claim 2, characterized in that: Removing the air three-dimensional scanning image from the initial three-dimensional scanning image to retain the initial three-dimensional scanning image of the sample comprises: The initial three-dimensional scanning image is adjusted so that the air three-dimensional scanning image has the same background as the initial three-dimensional scanning image, and the sample initial three-dimensional scanning image has a different background from the initial three-dimensional scanning image.

4. The battery pole piece porosity detection method according to claim 1, characterized in that: Determining the porosity of the battery electrode sheet according to the gray value distribution information of the effective three-dimensional scanning image of the sample includes: Determine pore distribution information in the effective three-dimensional scanning image of the sample according to the grayscale distribution information of the effective three-dimensional scanning image of the sample; Determine the volume of each pore in the effective three-dimensional scanning image of the sample according to the pore distribution information; The porosity of the battery electrode sample to be tested is determined according to the sum of the volumes of the plurality of pores and the total volume of the effective three-dimensional scanning image of the sample.

5. The battery pole piece porosity detection method according to claim 1, characterized in that: The battery electrode sheet sample to be tested comprises at least two sub-battery electrode sheet samples stacked along the thickness direction of the battery electrode sheet sample to be tested; The sample effective three-dimensional scanning image includes at least two sub-sample effective three-dimensional scanning images stacked together; the sub-sample effective three-dimensional scanning images correspond one to one with the sub-battery pole piece samples; Determining the porosity of the battery electrode sheet according to the gray value distribution information of the effective three-dimensional scanning image of the sample includes: Determining the porosity of the sub-battery pole piece sample corresponding to the sub-sample effective three-dimensional scanning image according to the grayscale distribution information of the sub-sample effective three-dimensional scanning image; The porosity of the battery electrode sheet sample to be tested is determined according to the porosity of each of the sub-battery electrode sheet samples.

6. The battery pole piece porosity detection method according to claim 5, characterized in that: After determining the porosity of the battery electrode sheet sample to be tested according to the porosity of each of the sub-battery electrode sheet samples, the method further includes: The porosity distribution of the battery electrode sample to be tested is determined according to the porosity of the sub-battery electrode sample.

7. The battery pole piece porosity detection method according to claim 6, characterized in that: Determining the porosity distribution of the battery electrode sample to be tested according to the porosity of the sub-battery electrode sample includes: Determine the thickness of the sub-battery pole piece sample corresponding to the sub-sample effective three-dimensional scanning image according to the height of the sub-sample effective three-dimensional scanning image and the zoom factor of the X-ray microscope; The porosity distribution of the battery electrode sheet sample to be tested is determined according to the thickness of each of the sub-battery electrode sheet samples and the porosity of each of the sub-battery electrode sheet samples.

8. A battery pole piece porosity detection device, characterized in that: include: A scanning data acquisition unit, used to acquire scanning data obtained by scanning the battery electrode sample to be tested with an X-ray microscope; A three-dimensional scanning image determining unit, configured to determine an initial three-dimensional scanning image according to the scanning data; An effective area determination unit, used to determine a sample effective three-dimensional scanning image according to the initial three-dimensional scanning image; A porosity determination unit is used to determine the porosity of the battery electrode according to the gray value distribution information of the effective three-dimensional scanning image of the sample.

9. An electronic device, characterized in that: The electronic device comprises: one or more processors; a storage device for storing one or more programs, When the one or more programs are executed by the one or more processors, the one or more processors implement the battery electrode porosity detection method as described in any one of claims 1-7.

10. A storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the battery electrode porosity detection method as described in any one of claims 1 to 7 is implemented.

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