CN116297199B - Detection system for automatically detecting lithium battery parameters based on machine vision - Google Patents
Detection system for automatically detecting lithium battery parameters based on machine vision Download PDFInfo
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- 238000001514 detection method Methods 0.000 title claims abstract description 376
- WHXSMMKQMYFTQS-UHFFFAOYSA-N Lithium Chemical compound [Li] WHXSMMKQMYFTQS-UHFFFAOYSA-N 0.000 title claims abstract description 296
- 229910052744 lithium Inorganic materials 0.000 title claims abstract description 296
- 238000000034 method Methods 0.000 claims abstract description 28
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- 238000004458 analytical method Methods 0.000 claims description 100
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- 238000012545 processing Methods 0.000 claims description 78
- 230000005540 biological transmission Effects 0.000 claims description 49
- 238000011156 evaluation Methods 0.000 claims description 29
- 230000008859 change Effects 0.000 claims description 25
- 230000006698 induction Effects 0.000 claims description 24
- 238000001914 filtration Methods 0.000 claims description 16
- 238000009499 grossing Methods 0.000 claims description 11
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/01—Arrangements or apparatus for facilitating the optical investigation
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/94—Investigating contamination, e.g. dust
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/95—Investigating the presence of flaws or contamination characterised by the material or shape of the object to be examined
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R1/00—Details of instruments or arrangements of the types included in groups G01R5/00 - G01R13/00 and G01R31/00
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- G01R1/04—Housings; Supporting members; Arrangements of terminals
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/378—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC] specially adapted for the type of battery or accumulator
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- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/385—Arrangements for measuring battery or accumulator variables
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
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- G01N2021/8887—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges based on image processing techniques
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- 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
Abstract
The invention provides a detection system for automatically detecting parameters of a lithium battery based on machine vision, which comprises the following components: the battery conveying module conveys the lithium battery to be detected to a designated position for detection, and outputs the lithium battery to be detected after the detection is completed; the appearance detection module performs image acquisition on the lithium battery to be detected at the designated position, acquires image information of the lithium battery to be detected, and analyzes and acquires pole piece detection parameters according to the image information; the internal detection module is connected with the lithium battery to be detected into a detection circuit, and the performance parameters of the lithium battery are acquired through measuring instrument equipment in the process of switching on the detection circuit to obtain the performance detection parameters of the lithium battery; and the detection feedback module carries out detection feedback on the pole piece detection parameters acquired by the appearance detection module and the lithium battery performance detection parameters acquired by the internal detection module. According to the invention, the comprehensive detection of the lithium battery is realized through the appearance detection module and the internal detection module, the influence of artificial subjective factors is avoided, and the accuracy of a detection system is improved.
Description
Technical Field
The invention relates to the technical field of automatic detection, in particular to a detection system for automatically detecting parameters of a lithium battery based on machine vision.
Background
The invention provides a detection system for automatically detecting parameters of a lithium battery based on machine vision, which not only saves labor cost, but also has strong accuracy, high efficiency and flexibility, realizes comprehensive detection of the lithium battery through an appearance detection module and an internal detection module, avoids the influence of human subjective factors, and improves the accuracy of a detection system.
Disclosure of Invention
The invention aims to provide a detection system for automatically detecting parameters of a lithium battery based on machine vision, so as to solve the problems in the background technology.
In order to achieve the above purpose, the present invention provides the following technical solutions: a detection system for automatically detecting lithium battery parameters based on machine vision, comprising: the device comprises a battery conveying module, an appearance detection module, an internal detection module and a detection feedback module; the battery conveying module is used for conveying the lithium battery to be detected to a designated position for detection, and outputting the lithium battery to be detected after the detection is completed; the appearance detection module is used for acquiring images of the lithium batteries to be detected at the designated positions, acquiring image information of the lithium batteries to be detected, and analyzing and acquiring pole piece detection parameters according to the image information; the internal detection module is used for connecting the lithium battery to be detected into a detection circuit, and collecting performance parameters of the lithium battery through measuring instrument equipment in the process of connecting the detection circuit to obtain the performance detection parameters of the lithium battery; and the detection feedback module is used for carrying out detection feedback on the pole piece detection parameters acquired by the appearance detection module and the lithium battery performance detection parameters acquired by the internal detection module.
Further, the detection feedback module includes: the device comprises a data receiving unit, a result analysis unit and a feedback presentation unit;
The data receiving unit is used for receiving the pole piece detection parameters acquired by the appearance detection module and the lithium battery performance detection parameters acquired by the internal detection module;
the result analysis unit is used for analyzing the pole piece detection parameters acquired by the appearance detection module and the lithium battery performance detection parameters acquired by the internal detection module in combination with the qualification standard to acquire a fuzzy detection evaluation analysis result of the lithium battery;
and the feedback presentation unit is used for presenting feedback together with the pole piece detection parameters acquired by the appearance detection module, the lithium battery performance detection parameters acquired by the internal detection module and the fuzzy detection evaluation analysis result.
Further, the battery transport module includes: the lithium battery detection device comprises a sensing unit, a transmission unit and a control unit, wherein the sensing unit is arranged near the position of the transmission unit where the lithium battery to be detected is initially placed, the sensing unit is connected with the control unit, the control unit is further connected with the appearance detection module and the internal detection module, when the lithium battery to be detected is placed on the transmission unit, the sensing unit obtains sensing signals and transmits the sensing signals to the control unit, the control unit controls the transmission unit to operate, the transmission unit moves the lithium battery to be detected to a designated position through operation, and after the appearance detection module and the internal detection module transmit detection completion signals to the control unit, the control unit controls the transmission unit to output the lithium battery to be detected again.
Further, the battery conveying unit further includes: the sorting unit is connected with the feedback presentation unit, and in the process that the transmission unit outputs the lithium batteries to be detected, the sorting unit obtains the fuzzy detection evaluation analysis results in the feedback presentation unit and sorts and outputs the lithium batteries with different fuzzy detection evaluation analysis results to different containers according to the fuzzy detection evaluation analysis results.
Further, the appearance detection module includes: the device comprises an image acquisition unit, an image processing unit and a parameter analysis unit;
the image acquisition unit is used for acquiring detection images of the lithium battery to be detected at the designated position through the image acquisition device to obtain a surface image of the lithium battery;
the image processing unit is used for carrying out image gray processing and target identification on the lithium battery surface image to obtain a target optimized image;
and the parameter analysis unit is used for respectively carrying out pole piece detection analysis on the target optimized image to obtain pole piece detection parameters.
Further, the images of the front and back sides of the lithium battery pole piece to be detected are obtained by rotating the manipulator through the camera in the image acquisition unit, and when the images of the front and back sides of the lithium battery pole piece to be detected are obtained, the images of the front and back sides of the lithium battery pole piece to be detected under the irradiation of the white light source and the laser are respectively obtained by adjusting the acquisition environment.
Further, the pole piece detection analysis includes: whether the electrode lug has a defect, whether the edge has a defect, whether the electrode net has a scratch foreign matter defect and an electrode net bubble defect, and when the electrode lug has a defect detection analysis, the method comprises the following steps: performing median filtering processing on the target optimized image to obtain a first processed image; performing image edge extraction on the first processed image by using a Sobel operator to obtain a second processed image; binarizing the second processed image to obtain a third processed image; determining whether the tab of the lithium battery pole piece to be detected is a non-defective tab or a tab with a damaged defect, a tab with a fold defect or a tab with a missing defect according to the third processed image analysis; carrying out defect detection analysis on the edge, carrying out scratch foreign matter defects on the polar net and polar net bubble defect detection analysis on the edge, and respectively carrying out median filtering and smoothing processing and Gaussian filtering and smoothing processing on the target optimized image when carrying out defect detection analysis on the edge or carrying out scratch foreign matter defects on the polar net and polar net bubble defect detection analysis to obtain a first comparison processing image and a second comparison processing image; performing difference analysis on the first comparison processing image and the second comparison processing image to obtain a difference processing image; performing binarization processing on the difference processing image to obtain a target analysis image; and determining whether the edge of the pole piece in the target optimized image has defects according to the detection image of the target analysis image combined with the qualified edge line, or determining whether the pole piece has scratch defects or foreign object defects or bubble defects according to the image analysis of the target analysis image combined with the qualified pole piece.
Further, the internal detection module includes: the device comprises a detection circuit unit, a control circuit unit, a connection access unit and a data reading unit;
the connection access unit is used for connecting the lithium battery to be detected at the appointed position into the detection circuit;
the detection circuit unit is used for selecting a corresponding detection circuit according to the performance parameters and forming a target parameter detection circuit by combining the lithium battery to be detected;
the control circuit unit is used for controlling variables in the process of switching on the target parameter detection circuit to obtain target parameter change data;
and the data reading unit is used for reading the target parameter change data to obtain the lithium battery performance detection parameters.
Further, the data reading unit includes: a first reading unit and a second reading unit; the first reading unit is arranged in the detection circuit unit and is used for acquiring the data change of the target parameter in the detection circuit in the process of switching on the detection circuit branch; the second reading unit is arranged at the appointed position and is used for reading data of target parameters of the lithium battery at the appointed position.
Further, the performance parameters include: the lithium battery temperature monitoring device comprises a voltage signal, a current signal, an internal resistance and temperature change, wherein the voltage signal, the current signal and the internal resistance are monitored through the detection circuit, and the temperature change is that a temperature sensor is directly arranged at the appointed position to monitor the temperature of the lithium battery at the appointed position.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims thereof as well as the appended drawings.
The technical scheme of the invention is further described in detail through the drawings and the embodiments.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
fig. 1 is a schematic diagram of a detection system for automatically detecting parameters of a lithium battery based on machine vision according to the present invention;
Fig. 2 is a schematic diagram of a detection feedback module in a detection system for automatically detecting parameters of a lithium battery based on machine vision according to the present invention;
fig. 3 is a schematic diagram of a battery conveying module in a detection system for automatically detecting parameters of a lithium battery based on machine vision according to the present invention;
fig. 4 is a schematic diagram of an appearance detection module in a detection system for automatically detecting parameters of a lithium battery based on machine vision according to the present invention;
fig. 5 is a schematic diagram of an internal detection module in a detection system for automatically detecting parameters of a lithium battery based on machine vision according to the present invention.
Detailed Description
The preferred embodiments of the present invention will be described below with reference to the accompanying drawings, it being understood that the preferred embodiments described herein are for illustration and explanation of the present invention only, and are not intended to limit the present invention.
As shown in fig. 1, an embodiment of the present invention provides a detection system for automatically detecting parameters of a lithium battery based on machine vision, including: the device comprises a battery conveying module, an appearance detection module, an internal detection module and a detection feedback module; the battery conveying module is used for conveying the lithium battery to be detected to a designated position for detection, and outputting the lithium battery to be detected after the detection is completed; the appearance detection module is used for acquiring images of the lithium batteries to be detected at the designated positions, acquiring image information of the lithium batteries to be detected, and analyzing and acquiring pole piece detection parameters according to the image information; the internal detection module is used for connecting the lithium battery to be detected into a detection circuit, and collecting performance parameters of the lithium battery through measuring instrument equipment in the process of connecting the detection circuit to obtain the performance detection parameters of the lithium battery; and the detection feedback module is used for carrying out detection feedback on the pole piece detection parameters acquired by the appearance detection module and the lithium battery performance detection parameters acquired by the internal detection module.
The detection system for automatically detecting the parameters of the lithium battery based on the machine vision provided by the technical scheme comprises: the lithium battery detection system comprises a battery conveying module, an appearance detection module, an internal detection module and a detection feedback module, wherein the appearance detection module and the internal detection module are respectively connected with the detection feedback module, when a lithium battery to be detected is detected, the battery conveying module conveys the lithium battery to be detected to a specified position in a detection system, when the lithium battery to be detected reaches the specified position, the appearance detection module performs image acquisition on the lithium battery to be detected at the specified position to acquire lithium battery image information, performs appearance defect analysis on the lithium battery according to the lithium battery image information, determines defects of a pole piece of the lithium battery in a digital image to obtain pole piece detection parameters of the lithium battery, and analyzes whether a pole piece has defects, whether a defect exists at an edge, whether a scratch foreign matter defect exists in a polar network, a polar network bubble defect and the like when determining the defects of the pole piece of the lithium battery in the digital image; then the internal detection module is connected with the lithium battery to be detected at the designated position into a detection circuit, the lithium battery to be detected is connected through the detection circuit, so that the detection circuit is connected and operated, and meanwhile, the state and the performance of the lithium battery to be detected in the operation process of the detection circuit are monitored by using measuring instrument equipment, so that the performance detection parameters of the lithium battery are obtained, wherein the performance detection parameters of the lithium battery comprise: voltage signal, current signal, internal resistance, temperature change, etc.; after the appearance detection module and the internal detection module respectively obtain the pole piece detection parameter and the lithium battery performance detection parameter, the pole piece detection parameter and the lithium battery performance detection parameter are transmitted to the detection feedback module, and the detection feedback module processes information on the pole piece detection parameter and the lithium battery performance detection parameter and then presents feedback.
According to the technical scheme, automatic detection of the lithium battery is achieved through the battery conveying module, the appearance detecting module, the internal detecting module and the detection feedback module, labor cost is saved, high accuracy, high efficiency and flexibility are achieved, detection of the lithium battery can be achieved rapidly in a batch production process, meanwhile, the influence of human subjective factors is avoided, accuracy of a detecting system is improved, in addition, operation of the lithium battery to be detected is achieved through the battery conveying module, the lithium battery to be detected can be conveyed to a specified position for detection when detection is conducted, then flow is output after detection is completed, detection is achieved, continuity is achieved for exchanging detection of the lithium battery to be detected, waste in time of exchanging the lithium battery to be detected is reduced, detection and internal performance are respectively conducted on the outer pole pieces of the lithium battery through the appearance detecting module and the internal detecting module, accordingly whether defects exist in the lithium battery is guaranteed, subjective analysis and processing are conducted through machine vision, and meanwhile, accuracy of subjective analysis parameters is guaranteed.
As shown in fig. 2, in one embodiment provided by the present invention, the detection feedback module includes: the device comprises a data receiving unit, a result analysis unit and a feedback presentation unit;
the data receiving unit is used for receiving the pole piece detection parameters acquired by the appearance detection module and the lithium battery performance detection parameters acquired by the internal detection module;
the result analysis unit is used for analyzing the pole piece detection parameters acquired by the appearance detection module and the lithium battery performance detection parameters acquired by the internal detection module in combination with the qualification standard to acquire a fuzzy detection evaluation analysis result of the lithium battery;
and the feedback presentation unit is used for presenting feedback together with the pole piece detection parameters acquired by the appearance detection module, the lithium battery performance detection parameters acquired by the internal detection module and the fuzzy detection evaluation analysis result.
The detection feedback module in the technical scheme comprises: the device comprises a data receiving unit, a result analysis unit and a feedback presentation unit; after the appearance detection module obtains the pole piece detection parameters and the internal detection module obtains the lithium battery performance detection parameters, the pole piece detection parameters and the lithium battery performance detection parameters are respectively transmitted to the detection feedback module and are received by the data receiving unit, then the result analysis unit respectively analyzes the pole piece detection parameters and the lithium battery performance detection parameters by combining corresponding lithium battery qualification standards so as to determine whether the lithium battery to be detected is qualified, wherein the qualification standards are set by importing the lithium battery qualification standards into a detection system in advance and are derived from the national lithium battery standard detection requirements, when the condition that the pole piece detection parameters and the lithium battery performance detection parameters cannot reach the qualification standards exists, the detection result of the lithium battery is unqualified, when the condition that the pole piece detection parameters and the lithium battery performance detection parameters cannot reach the qualification standards does not exist, the detection result of the lithium battery is qualified, when the detection result of the lithium battery is unqualified, the unqualified condition is divided into serious unqualified, medium unqualified and slightly unqualified according to the pole piece detection parameter and the lithium battery performance detection parameter, the detection result of the lithium battery is slightly unqualified when the detection result of the lithium battery is between 0 and 30 percent according to the difference percentage between the pole piece detection parameter and the qualified standard, the detection result of the lithium battery is medium unqualified when the detection result of the lithium battery is between 30 and 70 percent, the detection result of the lithium battery is serious unqualified when the detection result of the lithium battery is above 70 percent, the detection result of the lithium battery performance detection parameter and the fuzzy detection evaluation analysis result obtained by the appearance detection module are fed back together.
According to the technical scheme, the detection feedback module is used for detecting the lithium battery to obtain the more visual presentation of the parameters, the result analysis unit is used for determining the detection result of the lithium battery according to the pole piece detection parameters and the lithium battery performance detection parameters, the feedback presentation unit is used for directly and intuitively presenting the visual presentation, the feedback presentation unit is used for intuitively obtaining the detection result, and the information of each parameter causing the lithium battery detection result can be known, so that the lithium battery to be detected can be known more.
As shown in fig. 3, in one embodiment provided by the present invention, the battery conveying module includes: the lithium battery detection device comprises a sensing unit, a transmission unit and a control unit, wherein the sensing unit is arranged near the position of the transmission unit where the lithium battery to be detected is initially placed, the sensing unit is connected with the control unit, the control unit is further connected with the appearance detection module and the internal detection module, when the lithium battery to be detected is placed on the transmission unit, the sensing unit obtains sensing signals and transmits the sensing signals to the control unit, the control unit controls the transmission unit to operate, the transmission unit moves the lithium battery to be detected to a designated position through operation, and after the appearance detection module and the internal detection module transmit detection completion signals to the control unit, the control unit controls the transmission unit to output the lithium battery to be detected again.
The battery conveying module in the technical scheme comprises: the lithium battery detection device comprises an induction unit, a transmission unit and a control unit, wherein the induction unit is arranged near the position of the transmission unit where the lithium battery to be detected is initially placed, the induction unit is connected with the control unit, the control unit is further connected with an appearance detection module and an internal detection module, when the lithium battery to be detected is placed on the transmission unit, the induction unit obtains induction signals and transmits the induction signals to the control unit, the control unit controls the transmission unit to operate, the transmission unit moves the lithium battery to be detected to a designated position through operation, and after the appearance detection module and the internal detection module all transmit detection completion signals to the control unit, the control unit controls the transmission unit to output the lithium battery to be detected again.
The primary analysis and judgment processing are performed on the sensing unit aiming at the lithium battery to be detected on the transmission unit, and the primary analysis and judgment processing comprise the following steps:
parameter setting is carried out on a target lithium battery in advance, and parameters of the target lithium battery are led into an induction unit to obtain the parameters of the target lithium battery; the parameters here include: battery size, weight, etc.;
when the lithium battery to be detected is placed on the transmission unit, acquiring parameters of the lithium battery to be detected on the transmission unit, and obtaining the parameters of the lithium battery to be detected;
Matching and comparing the parameters of the lithium battery to be detected with the parameters of the target lithium battery, and determining the difference between the parameters of the battery to be detected and the parameters of the target lithium battery to obtain preliminary induction data of the lithium battery to be detected;
generating and transmitting an induction signal according to the preliminary induction data of the lithium battery to be detected, generating an induction signal if and only if the preliminary induction data of the lithium battery to be detected is within the error allowable range, and transmitting the induction signal to the control unit.
According to the technical scheme, automatic transmission of the lithium battery is achieved through the sensing unit and the control unit, manual participation is not needed, the accuracy is high, the lithium battery can be effectively prevented from being conveyed for a long time after being placed on the transmission unit, meanwhile, the situation that the lithium battery cannot be accurately stopped when the transmission unit conveys the lithium battery to a designated position can be avoided, and therefore detection errors caused by inaccurate positions to the appearance detection unit and the internal detection unit are effectively reduced. In addition, the induction unit can generate and transmit induction signals only when the lithium battery to be detected is placed on the transmission unit through preliminary analysis and judgment processing on the lithium battery to be detected on the transmission unit, so that the induction signals are prevented from being triggered by errors when other things are placed on the transmission unit or the things fall on the transmission unit, the operation of the detection system is triggered, and therefore the effective operation of the detection system based on the automatic detection of the lithium battery parameters by machine vision and the loss caused by invalid detection of the detection system based on the automatic detection of the lithium battery parameters by machine vision are ensured.
In one embodiment of the present invention, the battery conveying unit further includes: the sorting unit is connected with the feedback presentation unit, and in the process that the transmission unit outputs the lithium batteries to be detected, the sorting unit obtains the fuzzy detection evaluation analysis results in the feedback presentation unit and sorts and outputs the lithium batteries with different fuzzy detection evaluation analysis results to different containers according to the fuzzy detection evaluation analysis results.
The battery conveying unit in the above technical scheme further comprises: the sorting unit is connected with the feedback presentation unit, and in the process that the transmission unit outputs the lithium batteries to be detected, the sorting unit obtains fuzzy detection evaluation analysis results in the feedback presentation unit and sorts and outputs lithium batteries with different fuzzy detection evaluation analysis results into different containers according to the fuzzy detection evaluation analysis results.
Wherein the letter sorting unit includes: the system comprises a grabbing device, a telescopic arm, a sorting control center, a first identification device and a second identification device, wherein the grabbing device is connected with the telescopic arm, the grabbing device, the telescopic arm, the first identification device and the second identification device are respectively connected with the sorting control center, a sorting unit obtains fuzzy detection evaluation analysis results in a feedback presentation unit, and when lithium batteries with different fuzzy detection evaluation analysis results are sorted and output to different containers according to the fuzzy detection evaluation analysis results, the first identification device identifies the lithium batteries to be detected on a transmission unit, so as to obtain shape parameter information of the lithium batteries to be detected, the shape parameter information of the lithium batteries to be detected is transmitted to the sorting control center, the sorting control center controls the grabbing device to grab the lithium batteries to be detected on the transmission unit according to the shape parameter information of the lithium batteries to be detected, and meanwhile, the second identification device identifies corresponding containers according to the fuzzy detection evaluation analysis results, so as to obtain position information of the corresponding containers, and transmits the position information of the corresponding containers to the sorting control center, wherein the position information comprises: azimuth, distance, etc.; the sorting control center controls the telescopic boom according to the position information of the corresponding container, so that the telescopic boom can control and adjust the lithium battery to be detected, which is grabbed by the grabbing device, to be placed in the corresponding container after the grabbing device grabs the lithium battery to be detected on the transmission unit.
According to the technical scheme, the sorting unit is used for distinguishing different fuzzy detection evaluation analysis results in the output process of the lithium battery, so that the corresponding lithium battery can be output differently by directly acquiring the fuzzy detection evaluation analysis results in the feedback presentation unit when the sorting unit sorts the lithium battery, and convenience is provided for the subsequent process steps. In addition, the recognition of the lithium battery to be detected and the container on the transmission unit is realized through the first recognition device and the second recognition device, so that the change of the lithium battery to be detected and the container on the transmission unit can be followed, wrong sorting and invalid sorting are avoided, the sorting control center can grasp the lithium battery to be detected according to the appearance parameter information of the lithium battery to be detected obtained through the recognition of the first recognition device, the lithium battery to be detected can be accurately grasped, grasping damage can not be caused to the lithium battery, damage to the lithium battery to be detected is avoided, the sorting control center can control the telescopic arm according to the position information of the corresponding container obtained by the second recognition device, the telescopic arm can carry the grasping lithium battery to be detected into the corresponding container safely, manpower is saved, the error is not prone to high in accuracy, and the container and the lithium battery to be detected can be prevented from being collided by falling when the lithium battery to be detected enters the container, so that damage to the container and the lithium battery to be detected is avoided.
As shown in fig. 4, in one embodiment of the present invention, the appearance detection module includes: the device comprises an image acquisition unit, an image processing unit and a parameter analysis unit;
the image acquisition unit is used for acquiring detection images of the lithium battery to be detected at the designated position through the image acquisition device to obtain a surface image of the lithium battery;
the image processing unit is used for carrying out image gray processing and target identification on the lithium battery surface image to obtain a target optimized image;
and the parameter analysis unit is used for respectively carrying out pole piece detection analysis on the target optimized image to obtain pole piece detection parameters.
The appearance detection module in the technical scheme comprises: the device comprises an image acquisition unit, an image processing unit and a parameter analysis unit; when the appearance detection module acquires the detection parameters of the pole piece, firstly, an image acquisition unit is used for acquiring detection images of the lithium battery to be detected at a specified position by deploying an image acquisition device, so as to acquire a surface image of the lithium battery; then the image processing unit carries out image gray processing on the lithium battery surface image obtained by the image acquisition unit, and then identifies the image of the pole piece of the lithium battery in the image after gray processing to obtain a target optimized image; and then the parameter analysis unit respectively performs pole piece detection analysis on the target optimized image to obtain pole piece detection parameters.
When the image processing unit processes the image gray scale of the lithium battery surface image obtained by the image acquisition unit, the image processing unit comprises:
dividing the lithium battery surface image into a plurality of image blocks according to a dividing rule, wherein the dividing rule is to identify images in the lithium battery surface image, divide the same part in adjacent areas into one block, and if the area formed into one block exceeds one sixth of the lithium battery surface image, the division is reduced again, wherein one sixth of the area is only one preset parameter, other preset parameters can be set according to requirements, and the dividing rule can also select other rules according to actual conditions;
obtaining pixels of the image block to obtain pixel data of the image block on the surface of the lithium battery;
wherein U is i Pixel data representing the i-th lithium battery surface image block, n k Represents the number of pixel points in the ith lithium battery surface image block, d k Pixel data representing a kth pixel point in an ith lithium battery surface image block;
pixel data U according to the ith lithium battery surface image block i Component data of each pixel in RGB color space is obtained, and gray value H is determined by the following formula:
and further performing gray scale processing according to the determined gray scale value H.
According to the technical scheme, the image acquisition unit is used for acquiring the image of the lithium battery to be detected at the designated position, so that the comprehensive image information of the lithium battery is obtained, the appearance of the lithium battery can be detected, and the image is processed in the image processing unitThe acquired lithium battery surface image is converted into a gray image by performing image gray processing and target identification, and a target object is reserved, so that redundancy of irrelevant images is removed, the quality of target optimized images is improved, and further the complexity and the error probability are reduced for a parameter analysis unit. In addition, the lithium battery surface image is divided into a plurality of image blocks according to the division rule when the gray processing is carried out, so that the gray processing can be carried out on the lithium battery surface image, the gray processing efficiency can be improved, the image blocks are the same parts in the lithium battery surface image and can effectively represent the image blocks, the effect is not influenced under the condition of facilitating the subsequent processing, and in addition, the gray processing method has the advantages thatThe determined gray value can reduce the saturation of the image, so that the image is more clear and attractive, and further, the contrast can be better formed, the identification accuracy is improved, and the image of the pole piece of the lithium battery can be more accurately identified in the image after gray processing.
In one embodiment provided by the invention, the images of the front and back sides of the lithium battery pole piece to be detected are obtained by rotating the manipulator through the camera in the image acquisition unit, and when the images of the front and back sides of the lithium battery pole piece to be detected are obtained, the images of the front and back sides of the lithium battery pole piece to be detected under the irradiation of the white light source and the laser are respectively obtained by adjusting the acquisition environment.
In the above technical scheme, the images of the front and back sides of the lithium battery pole piece to be detected are obtained by rotating the manipulator through the camera, and when the images of the front and back sides of the lithium battery pole piece to be detected are obtained, the images of the front and back sides of the lithium battery pole piece to be detected under the irradiation of the white light source and the laser are respectively obtained by adjusting the acquisition environment.
According to the technical scheme, the images of the front side and the back side of the lithium battery pole piece to be detected are obtained through the camera through rotation of the manipulator, so that automatic control can be performed on the manipulator, further, image acquisition is automatically achieved, the images of the front side and the back side of the lithium battery pole piece to be detected under the irradiation of the white light source and the laser are respectively obtained through adjustment of the acquisition environment, the image information of the pole piece can be comprehensively obtained, the optimal image shooting effect can be obtained, noise is reduced as much as possible, defect characteristics are analyzed more accurately, and the detection accuracy is improved.
In one embodiment of the present invention, the pole piece detection analysis includes: whether the electrode lug has a defect, whether the edge has a defect, whether the electrode net has a scratch foreign matter defect and an electrode net bubble defect, and when the electrode lug has a defect detection analysis, the method comprises the following steps: performing median filtering processing on the target optimized image to obtain a first processed image; performing image edge extraction on the first processed image by using a Sobel operator to obtain a second processed image; binarizing the second processed image to obtain a third processed image; determining whether the tab of the lithium battery pole piece to be detected is a non-defective tab or a tab with a damaged defect, a tab with a fold defect or a tab with a missing defect according to the third processed image analysis; carrying out defect detection analysis on the edge, carrying out scratch foreign matter defects on the polar net and polar net bubble defect detection analysis on the edge, and respectively carrying out median filtering and smoothing processing and Gaussian filtering and smoothing processing on the target optimized image when carrying out defect detection analysis on the edge or carrying out scratch foreign matter defects on the polar net and polar net bubble defect detection analysis to obtain a first comparison processing image and a second comparison processing image; performing difference analysis on the first comparison processing image and the second comparison processing image to obtain a difference processing image; performing binarization processing on the difference processing image to obtain a target analysis image; and determining whether the edge of the pole piece in the target optimized image has defects according to the detection image of the target analysis image combined with the qualified edge line, or determining whether the pole piece has scratch defects or foreign object defects or bubble defects according to the image analysis of the target analysis image combined with the qualified pole piece.
The pole piece detection analysis in the technical scheme comprises the following steps: when the detection analysis of whether the electrode lug has defects, whether the electrode net has scratch foreign matter defects and electrode net bubble defects is carried out, firstly, carrying out MEDIAN filtering treatment on a target optimization image to obtain a first treatment image, adopting a cvSmooth function for MEDIAN filtering, selecting a MEDIAN filter CV_MEDIAN as a smoothing function, and carrying out MEDIAN filtering with a kernel size of 15 multiplied by 15 on the image; then, an image edge is extracted by applying a Sobel operator to the first processed image to obtain a second processed image, wherein the Sobel operator is a common edge detection operator and detects edges by using a discrete difference method. The Sobel operator comprises differentiation and fusion partial derivatives of any order, brightness information gradient in the image is obtained through differentiation and partial derivative operation, the function cvSobel is used, the first-order difference is formed in the x direction and the y direction, and the size of a Sobel core is 7; then, binarizing the second processed image, using a function cvThreshold, selecting a threshold T as 150, and selecting a threshold type CV_THRESH_BINARY_INV to obtain a third processed image; finally, determining whether the tab of the lithium battery pole piece to be detected is a non-defective tab or a tab with a broken defect, a tab with a fold defect or a tab with a missing defect according to the third processing image analysis; the method comprises the steps of carrying out defect detection analysis on whether edges exist, carrying out scratch foreign matter defects on polar nets and carrying out polar net bubble defect detection analysis, and respectively carrying out median filtering and smoothing processing and Gaussian filtering and smoothing processing on target optimization images when the defect detection analysis is carried out on the edges to obtain a first comparison processing image and a second comparison processing image; performing difference analysis on the first comparison processing image and the second comparison processing image to obtain a difference processing image; performing binarization processing on the difference processing image to obtain a target analysis image; determining whether the edge of the pole piece in the target optimized image has defects according to the target analysis image and the detection image of the qualified edge line; when detecting and analyzing whether the polar net has scratch foreign matter defects and polar net bubble defects, respectively carrying out median filtering and smoothing processing and Gaussian filtering and smoothing processing on the target optimized image to obtain a first comparison processing image and a second comparison processing image; performing difference analysis on the first comparison processing image and the second comparison processing image to obtain a difference processing image; performing binarization processing on the difference processing image to obtain a target analysis image; and determining whether scratch defects, foreign object defects or bubble defects exist on the polar net according to the target analysis image and the image analysis of the qualified polar net.
In the production and processing process of the pole piece, two pole lugs of the positive pole and the negative pole are thermally sealed to two ends of one side of the diaphragm, and as the pole lugs are in a dense thin net shape, the damage or edge damage of the pole lugs is easy to cause during operation, and meanwhile, the problems that the pole lugs are not adhered to the diaphragm and the like are also likely to exist.
As shown in fig. 5, in one embodiment provided by the present invention, the internal detection module includes: the device comprises a detection circuit unit, a control circuit unit, a connection access unit and a data reading unit;
the connection access unit is used for connecting the lithium battery to be detected at the appointed position into the detection circuit;
the detection circuit unit is used for selecting a corresponding detection circuit according to the performance parameters and forming a target parameter detection circuit by combining the lithium battery to be detected;
the control circuit unit is used for controlling variables in the process of switching on the target parameter detection circuit to obtain target parameter change data;
And the data reading unit is used for reading the target parameter change data to obtain the lithium battery performance detection parameters.
The internal detection module in the above technical scheme includes: the device comprises a detection circuit unit, a control circuit unit, a connection access unit and a data reading unit; when the internal detection module obtains the performance detection parameters of the lithium battery, the connection access unit connects the lithium battery to be detected at the appointed position into the detection circuit; and then the detection circuit unit selects a corresponding detection circuit according to the performance parameters and combines the lithium battery to be detected to form a target parameter detection circuit, the control circuit unit controls variables in the target parameter detection circuit to obtain target parameter change data, and the data reading unit reads the target parameter change data in the target parameter detection circuit to obtain the performance detection parameters of the lithium battery.
According to the technical scheme, the lithium battery is connected into the detection circuit through the connection access unit, so that the visual data acquisition is carried out on parameters such as voltage signals, current signals, internal resistance and temperature change in the lithium battery through the target parameter detection circuit, whether the internal performance of the lithium battery is qualified or not is reflected, and the safety of the lithium battery is ensured.
In one embodiment of the present invention, the data reading unit includes: a first reading unit and a second reading unit; the first reading unit is arranged in the detection circuit unit and is used for acquiring the data change of the target parameter in the detection circuit in the process of switching on the detection circuit branch; the second reading unit is arranged at the appointed position and is used for reading data of target parameters of the lithium battery at the appointed position.
The data reading unit in the above technical solution includes: a first reading unit and a second reading unit; the first reading unit is arranged in the detection circuit unit and is used for acquiring the data change of the target parameter in the detection circuit in the process of switching on the detection circuit branch; the second reading unit is arranged at the designated position and is used for reading data of target parameters for the lithium battery at the designated position.
According to the technical scheme, the side face of the parameter condition inside the lithium battery can be reflected through the target parameter detection circuit through the first reading unit, so that the internal performance of the lithium battery is clear, visual data can be obtained according to the change of the parameters such as the temperature of the surface of the lithium battery in the target parameter detection process after the lithium battery is connected into the target parameter detection circuit through the second reading unit, and the performance detection parameters of the lithium battery are visualized visually.
In one embodiment provided by the present invention, the performance parameters include: the lithium battery temperature monitoring device comprises a voltage signal, a current signal, an internal resistance and temperature change, wherein the voltage signal, the current signal and the internal resistance are monitored through the detection circuit, and the temperature change is that a temperature sensor is directly arranged at the appointed position to monitor the temperature of the lithium battery at the appointed position.
The performance parameters in the technical scheme comprise: the voltage signal, the current signal, the internal resistance and the temperature change are monitored through the detection circuit, and the temperature change is to directly set a temperature sensor at a specified position to monitor the temperature of the lithium battery at the specified position.
According to the technical scheme, the performance parameters are embodied and processed in an intuitive mode through the detection circuit, so that the internal condition of the lithium battery to be detected can be more intuitively embodied, the internal condition of the lithium battery to be detected can be clearly known, the problem of the internal performance of the lithium battery is avoided, the normal use of the lithium battery is prevented from being influenced, or the dangerous condition of the lithium battery is caused, in addition, the temperature change is directly caused by the fact that the temperature sensor is arranged at the appointed position to monitor the temperature of the lithium battery at the appointed position, so that the temperature monitoring analysis can be carried out on the key position of the lithium battery, the phenomenon that the temperature of the lithium battery is too high or too low is avoided, and meanwhile, the dangerous condition caused by the temperature of the lithium battery can be avoided.
It will be appreciated by those skilled in the art that the first and second aspects of the present invention refer only to different phases of application.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any adaptations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It is to be understood that the present disclosure is not limited to the precise arrangements and instrumentalities shown in the drawings, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
Claims (7)
1. A detection system for automatically detecting parameters of a lithium battery based on machine vision, the detection system comprising: the device comprises a battery conveying module, an appearance detection module, an internal detection module and a detection feedback module;
the battery conveying module is used for conveying the lithium battery to be detected to a designated position for detection, outputting the lithium battery to be detected after detection is completed, and comprises the following components: the lithium battery detection device comprises a sensing unit, a transmission unit and a control unit, wherein the sensing unit is arranged near the position of the transmission unit where the lithium battery to be detected is initially placed, the sensing unit is connected with the control unit, the control unit is also connected with the appearance detection module and the internal detection module, when the lithium battery to be detected is placed on the transmission unit, the sensing unit obtains a sensing signal and transmits the sensing signal to the control unit, the control unit controls the transmission unit to operate, the transmission unit moves the lithium battery to be detected to a designated position through operation, and after the appearance detection module and the internal detection module transmit detection completion signals to the control unit, the control unit controls the transmission unit to output the lithium battery to be detected again;
The induction unit performs preliminary analysis and judgment processing on the lithium battery to be detected on the transmission unit, and the method comprises the following steps: parameter setting is carried out on a target lithium battery in advance, and parameters of the target lithium battery are led into an induction unit to obtain the parameters of the target lithium battery; when the lithium battery to be detected is placed on the transmission unit, acquiring parameters of the lithium battery to be detected on the transmission unit, and obtaining the parameters of the lithium battery to be detected; matching and comparing the parameters of the lithium battery to be detected with the parameters of the target lithium battery, and determining the difference between the parameters of the lithium battery to be detected and the parameters of the target lithium battery to obtain preliminary induction data of the lithium battery to be detected; generating and transmitting an induction signal according to the preliminary induction data of the lithium battery to be detected, generating an induction signal if and only if the preliminary induction data of the lithium battery to be detected is within an error allowable range, and transmitting the induction signal to a control unit;
the appearance detection module is used for acquiring images of the lithium batteries to be detected at the designated positions, acquiring image information of the lithium batteries to be detected, and analyzing and acquiring pole piece detection parameters according to the image information;
The internal detection module is used for connecting the lithium battery to be detected into a detection circuit, and collecting performance parameters of the lithium battery through measuring instrument equipment in the process of connecting the detection circuit to obtain the performance detection parameters of the lithium battery;
the detection feedback module is used for carrying out detection feedback on the pole piece detection parameters acquired by the appearance detection module and the lithium battery performance detection parameters acquired by the internal detection module, and comprises the following components: the device comprises a data receiving unit, a result analysis unit and a feedback presentation unit; the data receiving unit is used for receiving the pole piece detection parameters acquired by the appearance detection module and the lithium battery performance detection parameters acquired by the internal detection module; the result analysis unit is used for analyzing the pole piece detection parameters acquired by the appearance detection module and the lithium battery performance detection parameters acquired by the internal detection module in combination with the qualification standard to acquire a fuzzy detection evaluation analysis result of the lithium battery; the feedback presentation unit is used for presenting feedback together with the pole piece detection parameters acquired by the appearance detection module, the lithium battery performance detection parameters acquired by the internal detection module and the fuzzy detection evaluation analysis result;
The battery delivery module further includes: the sorting unit is connected with the feedback presentation unit, and in the process that the transmission unit outputs the lithium batteries to be detected, the sorting unit obtains fuzzy detection evaluation analysis results in the feedback presentation unit and sorts and outputs lithium batteries with different fuzzy detection evaluation analysis results into different containers according to the fuzzy detection evaluation analysis results; the sorting unit includes: the system comprises a grabbing device, a telescopic arm, a sorting control center, a first identification device and a second identification device, wherein the grabbing device is connected with the telescopic arm, the grabbing device, the telescopic arm, the first identification device and the second identification device are respectively connected with the sorting control center, a sorting unit acquires fuzzy detection evaluation analysis results in a feedback presentation unit, and when lithium batteries with different fuzzy detection evaluation analysis results are sorted and output to different containers according to the fuzzy detection evaluation analysis results, the first identification device identifies the lithium batteries to be detected on a transmission unit, so as to obtain shape parameter information of the lithium batteries to be detected, the shape parameter information of the lithium batteries to be detected is transmitted to the sorting control center, the sorting control center controls the grabbing device to grab the lithium batteries to be detected on the transmission unit according to the shape parameter information of the lithium batteries to be detected, and meanwhile, the second identification device identifies the corresponding containers according to the fuzzy detection evaluation analysis results, so as to obtain position information of the corresponding containers, and transmits the position information of the corresponding containers to the sorting control center; the sorting control center controls the telescopic boom according to the position information of the corresponding container, so that the telescopic boom can control and adjust the lithium battery to be detected, which is grabbed by the grabbing device, to be placed in the corresponding container after the grabbing device grabs the lithium battery to be detected on the transmission unit.
2. The detection system of claim 1, wherein the appearance detection module comprises: the device comprises an image acquisition unit, an image processing unit and a parameter analysis unit;
the image acquisition unit is used for acquiring detection images of the lithium battery to be detected at the designated position through the image acquisition device to obtain a surface image of the lithium battery;
the image processing unit is used for carrying out image gray processing and target identification on the lithium battery surface image to obtain a target optimized image;
and the parameter analysis unit is used for respectively carrying out pole piece detection analysis on the target optimized image to obtain pole piece detection parameters.
3. The detection system according to claim 2, wherein the image acquisition unit acquires images of the front and back sides of the lithium battery pole piece to be detected by rotating the manipulator through the camera, and when the images of the front and back sides of the lithium battery pole piece to be detected are acquired, the images of the front and back sides of the lithium battery pole piece to be detected under the irradiation of the white light source and the laser are respectively acquired by adjusting the acquisition environment.
4. The detection system of claim 2, wherein the pole piece detection analysis comprises: whether the electrode lug has a defect, whether the edge has a defect, whether the electrode net has a scratch foreign matter defect and an electrode net bubble defect, and when the electrode lug has a defect detection analysis, the method comprises the following steps: performing median filtering processing on the target optimized image to obtain a first processed image; performing image edge extraction on the first processed image by using a Sobel operator to obtain a second processed image; binarizing the second processed image to obtain a third processed image; determining whether the tab of the lithium battery pole piece to be detected is a non-defective tab or a tab with a damaged defect, a tab with a fold defect or a tab with a missing defect according to the third processed image analysis; carrying out defect detection analysis on the edge, carrying out scratch foreign matter defects on the polar net and polar net bubble defect detection analysis on the edge, and respectively carrying out median filtering and smoothing processing and Gaussian filtering and smoothing processing on the target optimized image when carrying out defect detection analysis on the edge or carrying out scratch foreign matter defects on the polar net and polar net bubble defect detection analysis to obtain a first comparison processing image and a second comparison processing image; performing difference analysis on the first comparison processing image and the second comparison processing image to obtain a difference processing image; performing binarization processing on the difference processing image to obtain a target analysis image; and determining whether the edge of the pole piece in the target optimized image has defects according to the detection image of the target analysis image combined with the qualified edge line, or determining whether the pole piece has scratch defects or foreign object defects or bubble defects according to the image analysis of the target analysis image combined with the qualified pole piece.
5. The detection system of claim 1, wherein the internal detection module comprises: the device comprises a detection circuit unit, a control circuit unit, a connection access unit and a data reading unit;
the connection access unit is used for connecting the lithium battery to be detected at the designated position to the detection circuit;
the detection circuit unit is used for selecting a corresponding detection circuit according to the performance parameters and forming a target parameter detection circuit by combining the lithium battery to be detected;
the control circuit unit is used for controlling variables in the process of switching on the target parameter detection circuit to obtain target parameter change data;
and the data reading unit is used for reading the target parameter change data to obtain the lithium battery performance detection parameters.
6. The detection system according to claim 5, wherein the data reading unit includes: a first reading unit and a second reading unit; the first reading unit is arranged in the detection circuit unit and is used for acquiring the data change of the target parameter in the detection circuit in the process of switching on the detection circuit; the second reading unit is arranged at the appointed position and is used for reading data of target parameters of the lithium battery at the appointed position.
7. The detection system of claim 6, wherein the performance parameters include: the lithium battery temperature monitoring device comprises a voltage signal, a current signal, an internal resistance and temperature change, wherein the voltage signal, the current signal and the internal resistance are monitored through the detection circuit, and the temperature change is that a temperature sensor is directly arranged at the appointed position to monitor the temperature of the lithium battery at the appointed position.
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