CN116086367B - Battery detection method, device, storage medium and battery detection equipment - Google Patents
Battery detection method, device, storage medium and battery detection equipment Download PDFInfo
- Publication number
- CN116086367B CN116086367B CN202310371575.3A CN202310371575A CN116086367B CN 116086367 B CN116086367 B CN 116086367B CN 202310371575 A CN202310371575 A CN 202310371575A CN 116086367 B CN116086367 B CN 116086367B
- Authority
- CN
- China
- Prior art keywords
- battery
- layer
- determining
- layer structure
- boundary points
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B15/00—Measuring arrangements characterised by the use of electromagnetic waves or particle radiation, e.g. by the use of microwaves, X-rays, gamma rays or electrons
- G01B15/06—Measuring arrangements characterised by the use of electromagnetic waves or particle radiation, e.g. by the use of microwaves, X-rays, gamma rays or electrons for measuring the deformation in a solid
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02E60/10—Energy storage using batteries
Landscapes
- Physics & Mathematics (AREA)
- Electromagnetism (AREA)
- General Physics & Mathematics (AREA)
- Secondary Cells (AREA)
Abstract
The application discloses a battery detection method, a device, a storage medium and battery detection equipment, wherein the detection method comprises the following steps: detecting a radiation parameter of a radiation on a battery, wherein the battery has a multi-layer structure; determining boundary points of each layer of structure in the battery according to the radiation parameters; and acquiring three-dimensional data of the battery, and determining the deformation of the battery according to the boundary points and the three-dimensional data. According to the detection method, when the battery is bumped, the deformation condition of the battery can be accurately and rapidly detected without disassembling the battery, and the user experience is improved.
Description
Technical Field
The application relates to the technical field of batteries, in particular to a battery detection method, a device, a storage medium and battery detection equipment.
Background
The current battery structure is comparatively complicated, still can set up multilayer structure in the outside of electric core to guarantee the normal use of electric core, however, when the battery box holds in the palm the bottom and takes place the bottom and collide with the damage, can lead to the outside of battery and inside to take place to warp. In order to detect the deformation condition of the battery, the battery structure is usually required to be disassembled, and the deformation condition of the battery is detected, so that the disassembled battery is scrapped, the service life of the battery is reduced, and meanwhile, the user experience is also reduced to a certain extent.
Disclosure of Invention
In view of the above, the present application provides a method, an apparatus, a storage medium, and a device for detecting a battery, where a CT radiation is used to scan the battery, and detect radiation parameters of the radiation on the battery, and since the battery is a multi-layer structure, materials of each layer of structure are different, radiation parameters (such as emissivity and absorptivity) of the same radiation in different materials are different, so that a boundary point of each layer of structure can be determined according to the radiation parameters, three-dimensional data of the battery can be obtained when the battery is scanned by the radiation, and then, by combining with the boundary point of each layer of structure, deformation of each layer of structure in the battery can be determined, and further, deformation of the battery can be accurately and quickly detected without detaching the battery with the multi-layer structure, thereby improving user experience.
In a first aspect, the present application provides a battery detection method, including: detecting a radiation parameter of a radiation on a battery, wherein the battery has a multi-layer structure; determining boundary points of each layer of structure in the battery according to the radiation parameters; and acquiring three-dimensional data of the battery, and determining the deformation of the battery according to the boundary points and the three-dimensional data.
In the technical scheme of the embodiment of the application, the deformation of the battery is detected by adopting a mode of scanning the battery by CT rays, and the materials of each layer of structure are different based on the multi-layer structure of the battery, so that the same rays have different radiation parameters (such as the emissivity and the absorptivity) in different materials, and therefore, the boundary point of each layer of structure can be determined according to the radiation parameters of the rays in the battery. When the battery is scanned by rays, three-dimensional data of the battery can be automatically acquired, and then the deformation of each layer of structure in the battery can be determined by combining boundary points of each layer of structure, so that the deformation of the battery is determined, the battery with the multilayer structure is not required to be detached, the deformation of the battery can be accurately and rapidly detected, and the user experience is improved.
In some embodiments, the radiation parameters include transmittance and/or absorptivity of radiation, and determining boundary points of each layer structure in the cell according to the radiation parameters includes: acquiring the transmissivity and/or absorptivity of the rays in each layer of structure; and determining boundary points of each layer structure according to the transmissivity and/or the absorptivity.
Because the density of each layer of structure of the battery is different, the transmittance of the rays in each layer of structure of the battery is different, the absorptivity of each layer of structure is also different, the transmittance of the rays in each layer of structure is obtained in real time, when the transmittance changes, the rays are determined to enter the next layer of the battery, and the point of the change of the transmittance in the battery is marked as the boundary point of the multilayer structure.
In some embodiments, determining the amount of deformation of the battery from the boundary points and the three-dimensional data comprises: acquiring the thickness of a reference material corresponding to each layer of structure in the battery; and determining the deformation of the battery according to the boundary point corresponding to each layer of structure of the battery, the three-dimensional data of the boundary point and the corresponding reference material thickness.
The thickness of the reference material corresponding to each layer of structure in the battery is basically determined before the battery leaves the factory, after the corresponding boundary point of each layer of structure is determined, the three-dimensional data of each boundary point can be obtained by combining the three-dimensional data of the battery, then the thickness of the material of each layer of structure can be calculated and obtained according to the three-dimensional data of the two boundary points of each layer of structure, and then the deformation of the layer of structure can be obtained by comparing the thickness of the material of each layer of structure with the thickness of the reference material corresponding to the layer of structure, so that the deformation of each layer of structure can be obtained, and finally the deformation of the battery is determined according to the deformation of each layer of structure.
In some embodiments, before the determining the deformation amount of the battery from the boundary point and the three-dimensional data, the method further comprises: and determining whether the multi-layer structure of the battery is degummed or not according to the multi-layer structure of the battery and the number of the boundary points.
Because the emissivity and/or the absorptivity of the same ray in different materials are different, whether the multi-layer structure of the battery is degummed or not can be determined according to the change times (namely the number of boundary points) of the emissivity and/or the absorptivity, and the subsequent maintenance of the battery is facilitated.
In some embodiments, determining whether the delamination of the multilayer structure of the battery occurs according to the multilayer structure of the battery and the number of boundary points includes: when the number of the boundary points is equal to a preset number, determining that the multi-layer structure of the battery does not come unglued, wherein the preset number is determined by the multi-layer structure of the battery; and when the number of the boundary points is larger than the preset number, determining that the multi-layer structure of the battery is degummed.
Taking the multilayer structure of the battery as an example, wherein the multilayer structure of the battery comprises a water cooling plate, a glue coating layer and a battery core layer, the glue coating layer is arranged between the water cooling plate and the battery core, under the condition that the multilayer structure of the battery is not degummed, rays have four boundary points when passing through the battery, if the number of the boundary points is four, the phenomenon that the multilayer structure of the battery is not degummed is illustrated, and if the number of the boundary points is more than four, the situation that the multilayer structure of the battery is degummed is illustrated.
In some embodiments, in the event that it is determined that debonding of the multilayer structure of the battery occurs, the method further comprises: and determining the layer where the cell is degummed according to the material information of each layer structure in the cell and the radiation parameters.
Taking the multi-layer structure of the battery as three layers as an example, determining that the multi-layer result of the battery is degummed when the number of the boundary points is greater than four, determining the number of the boundary points according to the radiation parameters, and determining the layer where the battery is degummed according to the material information of each layer structure corresponding to the boundary points, thereby being convenient for subsequent maintenance of the battery.
In some embodiments, the battery detection method further includes: and outputting the defect information of the battery, wherein the defect information comprises deformation and degumming information, so that the deformation of the battery can be known more intuitively, the deformation degree of the battery can be known, and the follow-up maintenance of the battery is facilitated.
In some embodiments, acquiring three-dimensional data of the battery includes: when the volume of the battery is larger than a preset volume, measuring the battery for a plurality of times; and synthesizing the data after the multiple measurements to obtain the three-dimensional data of the battery, so that the data acquisition can be carried out on the battery with larger volume, and the subsequent detection of the deformation condition of the battery is facilitated.
In a second aspect, the present application provides a battery detection device comprising: the detection module is used for detecting radiation parameters of rays on the battery, wherein the battery has a multi-layer structure; a first determining module for determining boundary points of each layer structure in the battery according to the radiation parameters; the acquisition module is used for acquiring the three-dimensional data of the battery; and the second determining module is used for determining the deformation of the battery according to the boundary point and the three-dimensional data.
In the technical scheme of the embodiment of the application, the deformation of the battery is detected by adopting a mode of scanning the battery by CT rays, and the materials of each layer of structure are different based on the multi-layer structure of the battery, so that the same rays have different radiation parameters (such as the emissivity and the absorptivity) in different materials, and the first determining module can determine the boundary point of each layer of structure according to the radiation parameters of the rays in the battery. When the battery is scanned by rays, the acquisition module can automatically acquire three-dimensional data of the battery, the second determination module is combined with the boundary point of each layer of structure, the deformation of each layer of structure in the battery can be determined, the deformation of the battery is further determined, the battery of the multi-layer structure is not required to be detached, the deformation of the battery can be accurately and rapidly detected, and the user experience is improved.
In a third aspect, the present application provides a computer-readable storage medium having stored thereon a battery detection program which, when executed by a processor, implements the battery detection method described above.
In a fourth aspect, the present application provides a battery detection apparatus, including a memory, a processor, and a battery detection program stored in the memory and capable of running on the processor, where the processor implements the above battery detection method when executing the battery detection program.
The foregoing description is only an overview of the present application, and is intended to be implemented in accordance with the teachings of the present application in order that the same may be more clearly understood and to make the same and other objects, features and advantages of the present application more readily apparent.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the application. Also, like reference numerals are used to designate like parts throughout the accompanying drawings. In the drawings:
FIG. 1 is a flow chart of a battery detection method according to some embodiments of the present application;
FIG. 2 is a block diagram of a battery detection device according to some embodiments of the present application;
fig. 3 is a block schematic diagram of a battery detection apparatus according to some embodiments of the present application.
Reference numerals:
the battery detection device 100, the detection module 110, the first determination module 120, the acquisition module 130, the second determination module 140, the battery detection apparatus 200, the memory 210, and the processor 220.
Detailed Description
Embodiments of the technical scheme of the present application will be described in detail below with reference to the accompanying drawings. The following examples are only for more clearly illustrating the technical aspects of the present application, and thus are merely examples, and are not intended to limit the scope of the present application.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs; the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application; the terms "comprising" and "having" and any variations thereof in the description of the application and the claims and the description of the drawings above are intended to cover a non-exclusive inclusion.
In the description of embodiments of the present application, the technical terms "first," "second," and the like are used merely to distinguish between different objects and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated, a particular order or a primary or secondary relationship. In the description of the embodiments of the present application, the meaning of "plurality" is two or more unless explicitly defined otherwise.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the application. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.
In the description of the embodiments of the present application, the term "and/or" is merely an association relationship describing an association object, and indicates that three relationships may exist, for example, a and/or B may indicate: a exists alone, A and B exist together, and B exists alone. In addition, the character "/" herein generally indicates that the front and rear associated objects are an "or" relationship.
In the description of the embodiments of the present application, the term "plurality" means two or more (including two), and similarly, "plural sets" means two or more (including two), and "plural sheets" means two or more (including two).
In the description of the embodiments of the present application, the orientation or positional relationship indicated by the technical terms "center", "longitudinal", "transverse", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", "axial", "radial", "circumferential", etc. are based on the orientation or positional relationship shown in the drawings, and are merely for convenience of description and simplification of the description, and do not indicate or imply that the apparatus or element referred to must have a specific orientation, be configured and operated in a specific orientation, and therefore should not be construed as limiting the embodiments of the present application.
In the description of the embodiments of the present application, unless explicitly specified and limited otherwise, the terms "mounted," "connected," "secured" and the like should be construed broadly and may be, for example, fixedly connected, detachably connected, or integrally formed; or may be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communicated with the inside of two elements or the interaction relationship of the two elements. The specific meaning of the above terms in the embodiments of the present application will be understood by those of ordinary skill in the art according to specific circumstances.
The current battery structure is comparatively complicated, still can set up multilayer structure in the outside of electric core to guarantee the normal use of electric core, however, when the battery box holds in the palm the bottom and takes place the bottom and collide with the damage, can lead to the outside of battery and inside to take place to warp. In order to detect the deformation condition of the battery, the battery structure is usually required to be disassembled, and the deformation condition of the battery is detected, so that the disassembled battery is scrapped, the service life of the battery is reduced, and meanwhile, the user experience is also reduced to a certain extent.
The applicant researches the multi-layer structure of the battery, combines the CT ray detection technology to detect the emissivity and/or the absorptivity of rays in each layer structure and determines the boundary point of each layer structure in the battery according to the radiation parameters, determines the material thickness of each layer structure according to the boundary point of each layer structure and the three-dimensional data of the battery, compares the material thickness of each layer structure with a corresponding reference value, and determines the deformation amount of each layer structure, thereby determining the deformation amount of the battery. In this way, the deformation condition of the battery can be accurately and rapidly detected without disassembling the multi-layer structure of the battery, so that the reliability and the safety of the battery can be evaluated according to the deformation condition of the battery. And the situation that whether the multi-layer structure of the battery is degummed or not can be determined according to the number of the boundary points so as to facilitate subsequent maintenance by considering that the absorptivity and/or the emissivity of the rays in different materials are different.
The following examples are presented for convenience of explanation, and the method of monitoring a battery according to the present application will be described with reference to fig. 1.
As shown in fig. 1, the battery detection method of the present application may include the steps of:
s1, detecting radiation parameters of rays on a battery, wherein the battery has a multi-layer structure.
S2, determining boundary points of each layer of structure in the battery according to the radiation parameters.
And S3, acquiring three-dimensional data of the battery, and determining the deformation of the battery according to the boundary points and the three-dimensional data.
Specifically, the deformation of the battery is detected by adopting a mode of scanning the battery by CT rays, and the materials of each layer of structure are different based on the multi-layer structure of the battery, so that the radiation parameters (such as the emissivity and the absorptivity) of the same rays in different materials are different, and therefore, the boundary point of each layer of structure can be determined according to the radiation parameters of the rays in the battery. When the battery is scanned by rays, three-dimensional data of the battery can be automatically acquired, and then the deformation of each layer of structure in the battery can be determined by combining boundary points of each layer of structure, so that the deformation of the battery is determined. For example, the battery has a three-layer structure including a water cooling plate, a glue coating layer and a battery cell layer, and because the three-layer structure is made of different materials and has different densities, the emissivity and/or the absorptivity of the rays on the materials with different densities are different, so that according to the change condition of the emissivity and/or the absorptivity, the boundary point of each layer of structure can be confirmed, the boundary point of the rays when just passing through the water cooling plate, the boundary point between the water cooling plate and the glue coating layer, the boundary point between the glue coating layer and the battery cell layer and the boundary point of the battery cell layer when finally emitting the battery cell layer. And the three-dimensional data of each layer of structure is acquired in real time in the process of scanning the battery by the rays, so that the three-dimensional data of the boundary points can be determined, the material thickness of each layer of structure can be determined according to the three-dimensional data of the boundary points, the deformation condition of each layer of structure can be determined, and the deformation condition of the battery can be determined. The deformation condition of the battery can be accurately and rapidly detected without detaching the battery with the multilayer structure, and the user experience is improved.
According to some embodiments of the application, the radiation parameters include transmittance and/or absorptivity of radiation, and determining boundary points of each layer structure in the cell based on the radiation parameters includes: acquiring the transmissivity and/or absorptivity of the rays in each layer of structure; boundary points for each layer structure are determined from the transmittance and/or absorbance.
Since the density of each layer structure of the battery is different, the transmittance of rays in each layer structure of the battery is different, and the absorptivity of each layer structure is also different. Taking the radiation parameters including the transmissivity as an example for explanation, acquiring the transmissivity of the rays in each layer of structure in real time, determining that the rays enter the next layer of the battery when the transmissivity changes, and marking the point of the change of the transmissivity in the battery as the boundary point of the multi-layer structure. Taking the three-layer structure of the battery as an example, the three-layer structure comprises a water-cooling plate, a glue coating layer and an electric core layer, the transmittance of rays before entering the water-cooling plate is different from the transmittance after entering the water-cooling plate, the change point is a boundary point of the water-cooling plate, when the rays enter the glue coating layer from the water-cooling plate, the transmittance is changed again, the change point is another boundary point of the water-cooling plate, the boundary point is also a boundary point of the glue coating layer, and the boundary point of each layer can be obtained by analogy.
It should be noted that, the boundary point may be determined by different transmittances, or may be determined according to an absorption rate, and similarly, the boundary point may also be determined according to the transmittance and the boundary point, where the foregoing embodiment is only described in detail by using the transmittance, and other manners of determining the boundary point are the same in principle and are not repeated herein.
According to some embodiments of the application, determining the deformation amount of the battery from the boundary point and the three-dimensional data includes: acquiring the thickness of a reference material corresponding to each layer of structure in the battery; and determining the deformation of the battery according to the boundary point corresponding to each layer of structure of the battery, the three-dimensional data of the boundary point and the corresponding reference material thickness.
The thickness of the reference material corresponding to each layer of structure in the battery is basically determined before the battery leaves the factory, after the corresponding boundary point of each layer of structure is determined, the three-dimensional data of each boundary point can be obtained by combining the three-dimensional data of the battery, then the thickness of the material of each layer of structure can be calculated and obtained according to the three-dimensional data of the two boundary points of each layer of structure, and then the deformation of the layer of structure can be obtained by comparing the thickness of the material of each layer of structure with the thickness of the reference material corresponding to the layer of structure, so that the deformation of each layer of structure can be obtained, and finally the deformation of the battery is determined according to the deformation of each layer of structure. For example, the deformation of the cell layer is directly used as the deformation of the battery, and for example, the deformation of the water-cooling plate layer is used as the deformation of the battery.
According to some embodiments of the application, before determining the deformation amount of the battery according to the boundary point and the three-dimensional data, the battery detection method further includes: determining whether the multi-layer structure of the battery is degummed according to the multi-layer structure of the battery and the number of boundary points.
Because the emissivity and/or the absorptivity of the same ray in different materials are different, whether the multi-layer structure of the battery is degummed or not can be determined according to the change times (namely the number of boundary points) of the emissivity and/or the absorptivity, and the subsequent maintenance of the battery is facilitated.
According to some embodiments of the present application, determining whether degluing of the multi-layered structure of the battery occurs according to the multi-layered structure of the battery and the number of boundary points includes: when the number of the boundary points is equal to the preset number, determining that the multi-layer structure of the battery is not degummed, wherein the preset number is determined by the multi-layer structure of the battery; and when the number of the boundary points is larger than the preset number, determining that the multi-layer structure of the battery is degummed.
Taking the multi-layer structure of the battery as an example, the multi-layer structure of the battery comprises a water cooling plate, a glue coating layer and a battery core layer, the glue coating layer is arranged between the water cooling plate and the battery core, and under the condition that the multi-layer structure of the battery does not come off, four boundary points exist when rays pass through the battery, namely, the preset times are four times. If the number of the boundary points is four, the phenomenon that the multi-layer structure of the battery is degummed is not shown; if the number of the boundary points exceeds four, the situation that the multi-layer structure of the battery is degummed is indicated. For example, when degumming occurs between the water-cooling plate and the glue coating layer, the rays do not directly enter the glue coating layer after leaving the water-cooling plate, and one boundary point of the glue coating layer is not coincident with the other boundary point of the water-cooling plate, namely an air layer appears in the middle, so that whether the multi-layer structure of the battery is degummed or not can be judged according to the number of the boundary points. The method and the device detect whether the multi-layer structure of the battery is degummed through rays, are not only suitable for detecting whether the battery is degummed or not when the battery is put into use, but also suitable for judging the uniformity of gluing the battery at the production line.
According to some embodiments of the application, in the event that it is determined that debonding of the multilayer structure of the battery occurs, the method further comprises: and determining the layer where the battery is degummed according to the material information and the radiation parameters of each layer structure in the battery.
Taking the multi-layer structure of the battery as three layers as an example, determining that the multi-layer result of the battery is degummed when the number of the boundary points is greater than four, determining the number of the boundary points according to the radiation parameters, and determining the layer where the battery is degummed according to the material information of each layer structure corresponding to the boundary points, thereby being convenient for subsequent maintenance of the battery.
According to some embodiments of the application, the battery detection method further includes: and outputting the defect information of the battery, wherein the defect information comprises deformation and degumming information, so that the deformation of the battery can be known more intuitively, the deformation degree of the battery can be known, and the follow-up maintenance of the battery is facilitated.
According to some embodiments of the application, obtaining three-dimensional data of the battery comprises: when the volume of the battery is larger than a preset volume, measuring the battery for a plurality of times; and synthesizing the data after the multiple measurements to obtain the three-dimensional data of the battery, so that the data acquisition can be carried out on the battery with larger volume, and the subsequent detection of the deformation condition of the battery is facilitated.
As a specific example, a noncontact CT-ray detection method is adopted, the detection precision is 50 μm to 500 μm, and the penetration depth of the object to be detected is 150mm to 200mm. When the volume of the battery is large, the movable workbench is matched, the battery is integrally transmitted to the workbench, three-dimensional information in the battery is detected in a segmented mode through CT rays, and the CT three-dimensional information is synthesized to obtain complete three-dimensional data of the battery. Based on the multi-layer structure of the battery, the materials of each layer structure are different, so that the radiation parameters (such as the emissivity and the absorptivity) of the same ray in different materials are different, and therefore, the boundary point of each layer structure can be determined according to the radiation parameters of the ray in the battery. The three-dimensional data of the boundary points can be obtained according to the three-dimensional data of the battery, the material thickness (or depth) of each layer of structure can be obtained according to the three-dimensional data of the boundary points, and then the deformation condition of each layer of structure can be determined according to the reference material thickness of each layer of structure, so that the deformation amount of the battery can be obtained. The chassis collision event detection is accurate and rapid, nondestructive detection is achieved without disassembly, safety and reliability assessment are facilitated, after-sales service of the vehicle is improved, and user experience is improved.
And determining the damage degree of the battery according to the deformation of the battery, further judging whether the battery needs to be replaced or not, and avoiding safety accidents in the driving process. In addition, according to the number of boundary points, whether the multi-layer structure of the battery has degumming conditions can be determined, and under the condition that the multi-layer structure has degumming, the position of the battery in which layer has degumming can be determined according to the material information and the radiation parameters of the multi-layer structure, so that the data monitoring of the battery is realized, and convenience is provided for subsequent maintenance. The method can be applied to the condition that the battery is delivered and put into use, and can also be applied to the production process of the battery, so that the delivery quality of the battery can be improved, and the probability of defective products flowing into the market can be reduced.
In summary, in the technical solution of the embodiment of the present application, the deformation of the battery is detected by scanning the battery with the CT radiation, and based on the multi-layer structure of the battery, the materials of each layer of structure are different, so that the same radiation has different radiation parameters (such as emissivity and absorptivity) in different materials, and therefore, the boundary point of each layer of structure can be determined according to the radiation parameters of the radiation in the battery. When the battery is scanned by rays, three-dimensional data of the battery can be automatically acquired, and then the deformation of each layer of structure in the battery can be determined by combining boundary points of each layer of structure, so that the deformation of the battery is determined, the battery with the multilayer structure is not required to be detached, the deformation of the battery can be accurately and rapidly detected, and the user experience is improved.
Corresponding to the embodiment, the application also provides a battery monitoring device.
As shown in fig. 2, the battery detection device 100 of the present application may include: the detection module 110 is used for detecting radiation parameters of rays on a battery, wherein the battery has a multi-layer structure. A first determining module 120 is configured to determine a boundary point of each layer structure in the battery according to the radiation parameters. And the acquisition module 130 is used for acquiring the three-dimensional data of the battery. The second determining module 140 is configured to determine a deformation amount of the battery according to the boundary point and the three-dimensional data.
Specifically, the deformation of the battery is detected by scanning the battery with CT rays, and based on the multi-layer structure of the battery, the materials of each layer structure are different, so that the radiation parameters (such as the emissivity and the absorptivity) of the same ray in different materials are different, and therefore, the first determining module 120 can determine the boundary point of each layer structure according to the radiation parameters of the ray in the battery. When the battery is scanned by the rays, the acquiring module 130 automatically acquires three-dimensional data of the battery, and the second determining module 140 can determine the deformation of each layer of structure in the battery by combining the boundary points of each layer of structure, thereby determining the deformation of the battery. For example, the battery has a three-layer structure including a water cooling plate, a glue coating layer and a battery cell layer, and because the three-layer structure is made of different materials and has different densities, the emissivity and/or the absorptivity of the rays on the materials with different densities are different, so that according to the change condition of the emissivity and/or the absorptivity, the boundary point of each layer of structure can be confirmed, the boundary point of the rays when just passing through the water cooling plate, the boundary point between the water cooling plate and the glue coating layer, the boundary point between the glue coating layer and the battery cell layer and the boundary point of the battery cell layer when finally emitting the battery cell layer. And the three-dimensional data of each layer of structure is acquired in real time in the process of scanning the battery by the rays, so that the three-dimensional data of the boundary points can be determined, the material thickness of each layer of structure can be determined according to the three-dimensional data of the boundary points, the deformation condition of each layer of structure can be determined, and the deformation condition of the battery can be determined. The deformation condition of the battery can be accurately and rapidly detected without detaching the battery with the multilayer structure, and the user experience is improved.
According to some embodiments of the application, the radiation parameters include transmittance and/or absorptivity of radiation, and the first determining module 120 determines boundary points of each layer structure in the battery according to the radiation parameters, specifically for: acquiring the transmissivity and/or absorptivity of the rays in each layer of structure; boundary points for each layer structure are determined from the transmittance and/or absorbance.
Since the density of each layer structure of the battery is different, the transmittance of rays in each layer structure of the battery is different, and the absorptivity of each layer structure is also different. Taking the example that the radiation parameters include transmittance as an example, the detection module 110 acquires the transmittance of the radiation in each layer structure in real time, and when the transmittance changes, the first determination module 120 determines that the radiation enters the next layer of the battery, and the point where the transmittance changes in the battery is marked as the boundary point of the multilayer structure. Taking the three-layer structure of the battery as an example, the three-layer structure comprises a water-cooling plate, a glue coating layer and an electric core layer, the transmittance of rays before entering the water-cooling plate is different from the transmittance after entering the water-cooling plate, the change point is a boundary point of the water-cooling plate, when the rays enter the glue coating layer from the water-cooling plate, the transmittance is changed again, the change point is another boundary point of the water-cooling plate, the boundary point is also a boundary point of the glue coating layer, and the boundary point of each layer can be obtained by analogy.
It should be noted that, the boundary point may be determined by different transmittances, or may be determined according to an absorption rate, and similarly, the boundary point may also be determined according to the transmittance and the boundary point, where the foregoing embodiment is only described in detail by using the transmittance, and other manners of determining the boundary point are the same in principle and are not repeated herein.
According to some embodiments of the application, the second determining module 140 determines the deformation amount of the battery according to the boundary point and the three-dimensional data, specifically for: acquiring the thickness of a reference material corresponding to each layer of structure in the battery; and determining the deformation of the battery according to the boundary point corresponding to each layer of structure of the battery, the three-dimensional data of the boundary point and the corresponding reference material thickness.
The thickness of the reference material corresponding to each layer of structure in the battery is basically determined before the battery leaves the factory, after the corresponding boundary point of each layer of structure is determined, the three-dimensional data of each boundary point can be obtained by combining the three-dimensional data of the battery, then the thickness of the material of each layer of structure can be calculated and obtained according to the three-dimensional data of the two boundary points of each layer of structure, and then the deformation of the layer of structure can be obtained by comparing the thickness of the material of each layer of structure with the thickness of the reference material corresponding to the layer of structure, so that the deformation of each layer of structure can be obtained, and finally the deformation of the battery is determined according to the deformation of each layer of structure. For example, the deformation of the cell layer is directly used as the deformation of the battery, and for example, the deformation of the water-cooling plate layer is used as the deformation of the battery.
According to some embodiments of the application, the second determining module 140 is further configured to: before the deformation amount of the battery is determined according to the boundary points and the three-dimensional data, determining whether the multi-layer structure of the battery comes to be degummed according to the number of the multi-layer structure of the battery and the boundary points.
Because the emissivity and/or the absorptivity of the same ray in different materials are different, whether the multi-layer structure of the battery is degummed or not can be determined according to the change times (namely the number of boundary points) of the emissivity and/or the absorptivity, and the subsequent maintenance of the battery is facilitated.
According to some embodiments of the present application, the second determining module 140 determines whether the multi-layered structure of the battery is degummed according to the multi-layered structure of the battery and the number of boundary points, specifically for: when the number of the boundary points is equal to the preset number, determining that the multi-layer structure of the battery is not degummed, wherein the preset number is determined by the multi-layer structure of the battery; and when the number of the boundary points is larger than the preset number, determining that the multi-layer structure of the battery is degummed.
Taking the multi-layer structure of the battery as an example, the multi-layer structure of the battery comprises a water cooling plate, a glue coating layer and a battery core layer, the glue coating layer is arranged between the water cooling plate and the battery core, and under the condition that the multi-layer structure of the battery does not come off, four boundary points exist when rays pass through the battery, namely, the preset times are four times. If the number of the boundary points is four, the phenomenon that the multi-layer structure of the battery is degummed is not shown; if the number of the boundary points exceeds four, the situation that the multi-layer structure of the battery is degummed is indicated. For example, when degumming occurs between the water-cooling plate and the glue coating layer, the rays do not directly enter the glue coating layer after leaving the water-cooling plate, and one boundary point of the glue coating layer is not coincident with the other boundary point of the water-cooling plate, namely an air layer appears in the middle, so that whether the multi-layer structure of the battery is degummed or not can be judged according to the number of the boundary points. The method and the device detect whether the multi-layer structure of the battery is degummed through rays, are not only suitable for detecting whether the battery is degummed or not when the battery is put into use, but also suitable for judging the uniformity of gluing the battery at the production line.
In accordance with some embodiments of the present application, in the event that it is determined that the multi-layered structure of the battery has come to be degummed, the second determination module 140 is further configured to: and determining the layer where the battery is degummed according to the material information and the radiation parameters of each layer structure in the battery.
Taking the multi-layer structure of the battery as three layers as an example, determining that the multi-layer result of the battery is degummed when the number of the boundary points is greater than four, determining the number of the boundary points according to the radiation parameters, and determining the layer where the battery is degummed according to the material information of each layer structure corresponding to the boundary points, thereby being convenient for subsequent maintenance of the battery.
According to some embodiments of the present application, the battery detection device 100 further includes: the output module is used for outputting the defect information of the battery, wherein the defect information comprises deformation and degumming information, so that the deformation of the battery can be known more intuitively, the deformation degree of the battery can be known, and the follow-up maintenance of the battery is facilitated.
According to some embodiments of the application, obtaining three-dimensional data of a battery includes: when the volume of the battery is larger than the preset volume, measuring the battery for a plurality of times; and synthesizing the data after the multiple measurements to obtain three-dimensional data of the battery, so that the data acquisition can be carried out on the battery with larger volume, and the subsequent detection of the deformation condition of the battery is facilitated.
The computer-readable storage medium of the present application has stored thereon a battery detection program that, when executed by a processor, implements the battery detection method described above.
Corresponding to the embodiment, the application also provides battery detection equipment.
As shown in fig. 3, the battery detection apparatus 200 of the present application includes a memory 210, a processor 220, and a battery detection program stored in the memory 210 and executable on the processor 220, and when the processor executes the battery detection program, the battery detection method in the above embodiment is implemented.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present application, and not for limiting the same; although the application has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the application, and are intended to be included within the scope of the appended claims and description. In particular, the technical features mentioned in the respective embodiments may be combined in any manner as long as there is no structural conflict. The present application is not limited to the specific embodiments disclosed herein, but encompasses all technical solutions falling within the scope of the claims.
Claims (10)
1. A battery detection method, characterized by comprising:
detecting a radiation parameter of a radiation on a battery, wherein the battery has a multi-layer structure;
determining boundary points of each layer of structure in the battery according to the radiation parameters;
acquiring three-dimensional data of the battery, and determining the deformation of the battery according to the boundary points and the three-dimensional data;
before the determining of the deformation amount of the battery from the boundary point and the three-dimensional data, the method further includes:
determining whether the multi-layer structure of the battery is degummed according to the multi-layer structure of the battery and the number of boundary points, wherein determining whether the multi-layer structure of the battery is degummed according to the multi-layer structure of the battery and the number of boundary points comprises the following steps:
and when the number of the boundary points is equal to a preset number, determining that the multi-layer structure of the battery does not come off, wherein the preset number is determined by the multi-layer structure of the battery.
2. The method of claim 1, wherein the radiation parameters include transmittance and/or absorptivity of radiation, and determining boundary points of each layer structure in the cell based on the radiation parameters comprises:
acquiring the transmissivity and/or absorptivity of the rays in each layer of structure;
and determining boundary points of each layer structure according to the transmissivity and/or the absorptivity.
3. The battery detection method according to claim 1 or 2, characterized in that determining the deformation amount of the battery from the boundary point and the three-dimensional data includes:
acquiring the thickness of a reference material corresponding to each layer of structure in the battery;
and determining the deformation of the battery according to the boundary point corresponding to each layer of structure of the battery, the three-dimensional data of the boundary point and the corresponding reference material thickness.
4. The battery detection method according to claim 1, wherein determining whether or not the multi-layered structure of the battery has degummed based on the multi-layered structure of the battery and the number of boundary points, comprises:
and when the number of the boundary points is larger than the preset number, determining that the multi-layer structure of the battery is degummed.
5. The battery detection method according to claim 4, wherein in the case where it is determined that the multi-layered structure of the battery is degummed, the method further comprises:
and determining the layer where the cell is degummed according to the material information of each layer structure in the cell and the radiation parameters.
6. The battery detection method according to claim 5, characterized by further comprising:
and outputting defect information of the battery, wherein the defect information comprises deformation and degumming information.
7. The battery detection method according to claim 1, wherein acquiring three-dimensional data of the battery comprises:
when the volume of the battery is larger than a preset volume, measuring the battery for a plurality of times;
and synthesizing the data after the multiple measurements to obtain the three-dimensional data of the battery.
8. A battery detection device, characterized by comprising:
the detection module is used for detecting radiation parameters of rays on the battery, wherein the battery has a multi-layer structure;
a first determining module for determining boundary points of each layer structure in the battery according to the radiation parameters;
the acquisition module is used for acquiring the three-dimensional data of the battery;
a second determining module for determining a deformation amount of the battery according to the boundary point and the three-dimensional data;
the second determining module is further configured to determine, before determining the deformation amount of the battery according to the boundary point and the three-dimensional data, whether the multi-layer structure of the battery is degummed according to the multi-layer structure of the battery and the number of boundary points, where the second determining module determines, according to the multi-layer structure of the battery and the number of boundary points, whether the multi-layer structure of the battery is degummed, specifically configured to: and when the number of the boundary points is equal to a preset number, determining that the multi-layer structure of the battery does not come off, wherein the preset number is determined by the multi-layer structure of the battery.
9. A computer-readable storage medium, characterized in that a battery detection program is stored thereon, which when executed by a processor implements the battery detection method according to any one of claims 1 to 7.
10. A battery detection apparatus comprising a memory, a processor and a battery detection program stored on the memory and executable on the processor, the processor implementing the battery detection method according to any one of claims 1-7 when executing the battery detection program.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310371575.3A CN116086367B (en) | 2023-04-10 | 2023-04-10 | Battery detection method, device, storage medium and battery detection equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310371575.3A CN116086367B (en) | 2023-04-10 | 2023-04-10 | Battery detection method, device, storage medium and battery detection equipment |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN116086367A CN116086367A (en) | 2023-05-09 |
| CN116086367B true CN116086367B (en) | 2023-08-15 |
Family
ID=86210564
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310371575.3A Active CN116086367B (en) | 2023-04-10 | 2023-04-10 | Battery detection method, device, storage medium and battery detection equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116086367B (en) |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7550737B1 (en) * | 2008-05-16 | 2009-06-23 | The Gillette Company | Battery |
| CN102232844A (en) * | 2010-04-23 | 2011-11-09 | 东芝It·控制系统株式会社 | CT device and image pickup method of CT device |
| CN108387594A (en) * | 2018-02-09 | 2018-08-10 | 中国电力科学研究院有限公司 | A kind of method and system of non-destructive testing stack type lithium ion battery |
| CN112378331A (en) * | 2020-11-09 | 2021-02-19 | 维沃移动通信有限公司 | Electronic device, battery deformation detection method, and readable storage medium |
| CN113566730A (en) * | 2021-07-29 | 2021-10-29 | 广东电网有限责任公司 | Battery expansion deformation detection system and method |
| CN115587987A (en) * | 2022-10-19 | 2023-01-10 | 中国长江三峡集团有限公司 | Storage battery defect detection method and device, storage medium and electronic equipment |
| CN218272118U (en) * | 2022-08-29 | 2023-01-10 | 小米汽车科技有限公司 | Gluing detection device for battery pack |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20150357660A1 (en) * | 2009-11-26 | 2015-12-10 | Kia Motors Corporation | Pinhole detection system of fuel cell |
| CN103210482B (en) * | 2010-08-09 | 2016-06-22 | Bt成像股份有限公司 | Persistency feature detection |
| US9618458B2 (en) * | 2013-01-08 | 2017-04-11 | Bloom Energy Corporation | Optical measurement method and apparatus for fuel cell components |
| EP3859829B1 (en) * | 2020-01-29 | 2025-02-26 | LG Energy Solution, Ltd. | Method for analyzing swelling behavior of lithium secondary battery |
-
2023
- 2023-04-10 CN CN202310371575.3A patent/CN116086367B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7550737B1 (en) * | 2008-05-16 | 2009-06-23 | The Gillette Company | Battery |
| CN102232844A (en) * | 2010-04-23 | 2011-11-09 | 东芝It·控制系统株式会社 | CT device and image pickup method of CT device |
| CN108387594A (en) * | 2018-02-09 | 2018-08-10 | 中国电力科学研究院有限公司 | A kind of method and system of non-destructive testing stack type lithium ion battery |
| CN112378331A (en) * | 2020-11-09 | 2021-02-19 | 维沃移动通信有限公司 | Electronic device, battery deformation detection method, and readable storage medium |
| CN113566730A (en) * | 2021-07-29 | 2021-10-29 | 广东电网有限责任公司 | Battery expansion deformation detection system and method |
| CN218272118U (en) * | 2022-08-29 | 2023-01-10 | 小米汽车科技有限公司 | Gluing detection device for battery pack |
| CN115587987A (en) * | 2022-10-19 | 2023-01-10 | 中国长江三峡集团有限公司 | Storage battery defect detection method and device, storage medium and electronic equipment |
Non-Patent Citations (1)
| Title |
|---|
| 戎咏华.材料组织结构的表征.上海：上海交通大学出版社,2017,第81页. * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN116086367A (en) | 2023-05-09 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US20230251752A1 (en) | Roll Map for Electrode Coating Process and Roll Map Creation Method and System | |
| CN113325001B (en) | Automatic distinguishing and detecting equipment and method for appearance flaws on surface of copper foil | |
| JP7438382B2 (en) | Method and testing device for testing bipolar plates of electrochemical cells, especially fuel cells | |
| JP7218723B2 (en) | Foreign matter inspection method, inspection device, film roll, and film roll manufacturing method | |
| KR20120030053A (en) | Method for operating a battery | |
| CN103293163A (en) | Small-piece tinplate double-face quality detection method and system | |
| US9115979B2 (en) | Web thickness measuring equipment and method of measuring thickness of a web | |
| CN108469375A (en) | A kind of stiffened panel buckling load determination method and pilot system | |
| CN116086367B (en) | Battery detection method, device, storage medium and battery detection equipment | |
| WO2020153063A1 (en) | Inspection method and manufacturing method for structure and inspection apparatus and manufacturing apparatus for structure | |
| US20240230546A9 (en) | Methods for Analyzing an Electrode Layer of a Battery Cell Using a KI Engine, Training a KI Engine, Producing a Battery Storage Device, and Production Units | |
| CN117848222B (en) | Edge detection method and device for battery insulator and battery production line | |
| CN114839224A (en) | Coating quality detection method, detection device, detection system and storage medium | |
| CN111966062A (en) | Automatic judgment method for quality state of self-piercing riveting process | |
| CN203518957U (en) | Detection system of laser scribing morphology | |
| US20230408594A1 (en) | Method for diagnosing battery pack | |
| CN118358102B (en) | Internal cooling control method for precoating film production | |
| CN113036249A (en) | Battery module and method and device for predicting battery core temperature | |
| CN117723551B (en) | Battery detection device, point detection method, battery production device and detection method | |
| CN109540967A (en) | Weld quality prediction system and method | |
| CN117252486A (en) | Auto parts defect detection method and system based on Internet of Things | |
| CN113369712B (en) | Laser cutting method, laser cutting device and computer readable storage medium | |
| CN115453373A (en) | Online detection method for mechanical damage of power battery | |
| CN110057330B (en) | Line width measuring method and line width measuring system | |
| CN117157808A (en) | Control method and device for thermal runaway of power battery and power battery |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |