CN115950488B - Method, system and platform for detecting full-line production quality of lithium battery - Google Patents
Method, system and platform for detecting full-line production quality of lithium battery Download PDFInfo
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Abstract
The invention belongs to the technical field of battery production quality detection, and particularly relates to a method, a system, a platform and a storage medium for detecting the production quality of a lithium battery in a whole line. Respectively acquiring position data and image data corresponding to the lithium battery on a production line; according to the image data, respectively detecting the cell size and the rubberizing state of the lithium battery; acquiring intrinsic data information of the battery core, and detecting the pole column and the height of the lithium battery in real time according to the intrinsic data information of the battery core; the busbar welding of the lithium battery is positioned and detected, the appearance detection data of the lithium battery module are combined, after the device corresponding to the lithium battery is glued, the device is packaged and put in storage, and a system, a platform and a storage medium corresponding to the method solve the pain point of the industry, replace the eye detection of workers, and adopt the optomechanical and electrical soft comprehensive technology to ensure that the battery is safer. The device can replace the traditional human eye detection mode, reduces the workload, improves the working efficiency and improves the quality detection quality.
Description
Technical Field
The invention belongs to the technical field of battery production quality detection, and particularly relates to a method, a system, a platform and a storage medium for detecting the production quality of a lithium battery in a whole line.
Background
In the current stage, in the research and development machine vision detection battery surface flaws and tab appearance detection projects, detection is carried out through human eye recognition, and the traditional manual mode detection is large in workload and long in time consumption, and recognition detection results are inconsistent, so that the quality detection consistency of the lithium battery is poor.
Therefore, in the research and development of the machine vision detection battery surface flaw and tab appearance detection project, the detection is performed through human eye recognition, the workload of the traditional manual mode detection is large, the time consumption is long, the recognition detection results are inconsistent, the technical problem of poor consistency of lithium battery quality detection is caused, and the design and development of a lithium battery full line production quality detection method, system, platform and storage medium are urgently needed.
Disclosure of Invention
In order to overcome the defects and difficulties in the prior art, the invention aims to provide a method, a system, a platform and a storage medium for detecting the whole-line production quality of a lithium battery, which solve the pain point of the industry, replace the eye detection of workers, and adopt the opto-mechanical and electrical soft synthesis technology to ensure that the battery is safer.
The first aim of the invention is to provide a method for detecting the production quality of a lithium battery on a whole line;
the second aim of the invention is to provide a lithium battery full-line production quality detection system;
the third object of the invention is to provide a lithium battery full-line production quality detection platform;
a fourth object of the present invention is to provide a computer-readable storage medium;
the first object of the present invention is achieved by: the method comprises the steps of:
respectively acquiring position data and image data corresponding to the lithium battery on a production line;
according to the image data, respectively detecting the cell size and the rubberizing state of the lithium battery;
acquiring intrinsic data information of the battery core, and detecting the pole column and the height of the lithium battery in real time according to the intrinsic data information of the battery core;
and positioning and detecting busbar welding of the lithium battery, combining appearance detection data of the lithium battery module, gluing devices corresponding to the lithium battery, and packaging and warehousing.
Further, the step of respectively acquiring the position data and the image data corresponding to the lithium battery on the production line further comprises the steps of:
according to the system instruction, at least two pieces of data acquisition equipment are started; the data acquisition equipment is a high-definition camera;
the grabbing device is guided to conduct grabbing operation in real time through the acquired lithium battery data; wherein the gripping device is a robot or a mechanical gripper.
Further, the detecting the cell size and the rubberizing state of the lithium battery according to the image data, further includes the steps of:
and generating a battery cell size data set of the lithium battery according to the battery cell size detection data of the lithium battery.
Further, the cell size data set includes cell station layout, cell length data, and cell thickness data.
Further, the positioning and detecting the busbar welding of the lithium battery, combining the appearance detection data of the lithium battery module, gluing the device corresponding to the lithium battery, packaging and warehousing, and further comprising the steps of:
and respectively detecting the full size of the module of the lithium battery and the gluing of the lower shell.
Further, the positioning and detecting the busbar welding of the lithium battery, combining the appearance detection data of the lithium battery module, gluing the device corresponding to the lithium battery, packaging and warehousing, and further comprising the steps of:
and (5) putting the lithium battery module into a box, and performing gluing treatment on the pressing strip of the lithium battery module.
The second object of the present invention is achieved by: the system specifically comprises:
the data acquisition unit is used for respectively acquiring position data and image data corresponding to the lithium battery on the production line;
the first detection unit is used for respectively detecting the cell size and the rubberizing state of the lithium battery according to the image data;
the second detection unit is used for acquiring the inherent data information of the battery cell and detecting the pole column and the height of the lithium battery in real time according to the inherent data information of the battery cell;
and the third detection unit is used for positioning and detecting busbar welding of the lithium battery, combining appearance detection data of the lithium battery module, gluing devices corresponding to the lithium battery, and packaging and warehousing.
Further, the data acquisition unit further includes:
the first acquisition module is used for starting at least two pieces of data acquisition equipment according to the system instruction; the data acquisition equipment is a high-definition camera;
the second acquisition module is used for guiding the grabbing device to implement grabbing operation in real time through the acquired lithium battery data; wherein the grabbing device is a robot or a mechanical gripper;
and/or, the first detection unit further comprises:
the first generation module is used for generating a battery cell size data set of the lithium battery according to the battery cell size detection data of the lithium battery; the battery cell size data set comprises battery cell station layout, battery cell length data and battery cell thickness data;
and/or, the third detection unit further comprises:
the first detection module is used for respectively detecting the full size of the module of the lithium battery and the gluing of the lower shell;
and the in-box gluing treatment module is used for in-box lithium battery modules and gluing the module pressing strips.
The third object of the present invention is achieved by: comprising the following steps: the processor, the memory and the lithium battery full-line production quality detection platform control program;
executing the lithium battery full-line production quality detection platform control program on the processor, storing the lithium battery full-line production quality detection platform control program in the memory, and realizing the lithium battery full-line production quality detection method.
The fourth object of the present invention is achieved by: the computer readable storage medium stores a lithium battery full-line production quality detection platform control program, and the lithium battery full-line production quality detection platform control program realizes the lithium battery full-line production quality detection method.
The method comprises the steps of respectively obtaining position data and image data corresponding to the lithium battery on a production line; according to the image data, respectively detecting the cell size and the rubberizing state of the lithium battery; acquiring intrinsic data information of the battery core, and detecting the pole column and the height of the lithium battery in real time according to the intrinsic data information of the battery core; the busbar welding of the lithium battery is positioned and detected, the appearance detection data of the lithium battery module are combined, after the device corresponding to the lithium battery is glued, the device is packaged and put in storage, and a system, a platform and a storage medium corresponding to the method solve the pain point of the industry, replace the eye detection of workers, and adopt the optomechanical and electrical soft comprehensive technology to ensure that the battery is safer. That is, the method can replace the traditional human eye detection mode, reduces the workload, improves the working efficiency and improves the quality detection quality.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic flow chart of a method for detecting the production quality of a lithium battery in a whole line;
FIG. 2 is a schematic diagram of a system architecture for detecting the quality of a full-line production of lithium batteries according to the present invention;
FIG. 3 is a schematic diagram of a full-line production quality detection platform architecture for lithium batteries according to the present invention;
FIG. 4 is a schematic diagram of a computer-readable storage medium architecture according to an embodiment of the present invention;
FIG. 5 is a schematic diagram of a process flow of a full-line quality inspection method for lithium batteries according to the present invention;
FIG. 6 is a schematic diagram of a process flow of a full-line quality inspection method of lithium battery according to the present invention;
the achievement of the objects, functional features and advantages of the present invention will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
For a better understanding of the present invention, its objects, technical solutions and advantages, further description of the present invention will be made with reference to the drawings and detailed description, and further advantages and effects will be readily apparent to those skilled in the art from the present disclosure.
The invention may be practiced or carried out in other embodiments and details within the scope and range of equivalents of the various features and advantages of the invention.
It should be noted that, if directional indications (such as up, down, left, right, front, and rear … …) are included in the embodiments of the present invention, the directional indications are merely used to explain the relative positional relationship, movement conditions, etc. between the components in a specific posture (as shown in the drawings), and if the specific posture is changed, the directional indications are correspondingly changed.
In addition, if there is a description of "first", "second", etc. in the embodiments of the present invention, the description of "first", "second", etc. is for descriptive purposes only and is not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include at least one such feature. Secondly, the technical solutions of the embodiments may be combined with each other, but it is necessary to be based on the fact that those skilled in the art can realize the technical solutions, and when the technical solutions are contradictory or cannot be realized, the technical solutions are considered to be absent and are not within the scope of protection claimed in the present invention.
Preferably, the method for detecting the full-line production quality of the lithium battery is applied to one or more terminals or servers. The terminal is a device capable of automatically performing numerical calculation and/or information processing according to a preset or stored instruction, and its hardware includes, but is not limited to, a microprocessor, an application specific integrated circuit (Application Specific Integrated Circuit, ASIC), a programmable gate array (Field-Programmable Gate Array, FPGA), a digital processor (Digital Signal Processor, DSP), an embedded device, etc.
The terminal can be a computing device such as a desktop computer, a notebook computer, a palm computer, a cloud server and the like. The terminal can perform man-machine interaction with a client through a keyboard, a mouse, a remote controller, a touch pad or voice control equipment and the like.
The invention discloses a method, a system, a platform and a storage medium for detecting the production quality of a lithium battery on a whole line.
Fig. 1 is a flowchart of a method for detecting the quality of full-line production of lithium batteries according to an embodiment of the present invention.
In this embodiment, the method for detecting the quality of the lithium battery in the whole line production may be applied to a terminal or a fixed terminal having a display function, where the terminal is not limited to a personal computer, a smart phone, a tablet computer, a desktop computer or an integrated machine with a camera, etc.
The lithium battery full-line production quality detection method can also be applied to a hardware environment formed by a terminal and a server connected with the terminal through a network. Networks include, but are not limited to: a wide area network, a metropolitan area network, or a local area network. The method for detecting the full-line production quality of the lithium battery can be executed by a server, a terminal or both.
For example, for a terminal that needs to perform full-line production quality detection of lithium batteries, the full-line production quality detection function of lithium batteries provided by the method of the invention may be directly integrated on the terminal, or a client for implementing the method of the invention may be installed. For another example, the method provided by the invention can also be operated on a server and other devices in the form of a software development kit (Software Development Kit, SDK), an interface of the full-line production quality detection function of the lithium battery is provided in the form of the SDK, and the full-line production quality detection function of the lithium battery can be realized by the terminal or other devices through the provided interface.
The invention is further elucidated below in connection with the accompanying drawings.
As shown in fig. 1 to 6, the invention provides a method for detecting the production quality of a lithium battery on a whole line, which specifically comprises the following steps:
s1, respectively acquiring position data and image data corresponding to a lithium battery on a production line;
s2, respectively detecting the cell size and the rubberizing state of the lithium battery according to the image data;
s3, acquiring intrinsic data information of the battery cell, and detecting the pole and the height of the lithium battery in real time according to the intrinsic data information of the battery cell;
s4, positioning and detecting busbar welding of the lithium battery, combining appearance detection data of the lithium battery module, gluing devices corresponding to the lithium battery, and packaging and warehousing.
The method for respectively acquiring the position data and the image data corresponding to the lithium battery on the production line further comprises the following steps:
s11, starting at least two pieces of data acquisition equipment according to a system instruction; the data acquisition equipment is a high-definition camera;
s12, guiding the grabbing device to implement grabbing operation in real time through the acquired lithium battery data; wherein the gripping device is a robot or a mechanical gripper.
According to the image data, the battery cell size and the rubberizing state of the lithium battery are detected respectively, and the method further comprises the steps of:
s21, generating a battery cell size data set of the lithium battery according to the battery cell size detection data of the lithium battery.
The cell size data set comprises cell station layout, cell length data and cell thickness data.
The positioning and detecting bus welding of the lithium battery, combining appearance detection data of a lithium battery module, gluing devices corresponding to the lithium battery, packaging and warehousing, and further comprising the steps of:
s41, respectively detecting full-size of the module of the lithium battery and gluing the lower shell.
The positioning and detecting bus welding of the lithium battery, combining appearance detection data of a lithium battery module, gluing devices corresponding to the lithium battery, packaging and warehousing, and further comprising the steps of:
s42, putting the lithium battery module into a box, and performing gluing treatment on the molding press bar.
Specifically, as shown in fig. 5 and 6, in the embodiment of the present invention, the detection requirement: two robots, each robot is provided with 2 cameras to take photos and position at the same time, and the robots are guided to grasp; positioning accuracy is 0.1mm; the feeding mode is as follows: the mechanical arm grabs 4 electric cores at a time, carries the electric cores, changes the distance and overturns, and places the electric cores on the conveying line.
Device function requirements, function: the thickness is measured by pressureless scanning, the maximum thickness of the battery cell is recorded, the battery cell is out of the set size range to be bad, and the set value can be changed. Scanning area: the upper surface and the lower surface are required to be scanned; the main parameters are as follows: the equipment precision is 0.01mm; two double-speed chains are respectively provided with 2D cameras for measuring the length of the battery cell at two ends of the battery cell, and two double-speed chains are respectively provided with 4 3D profilers (2 upper and lower) for carrying out large-surface scanning measurement on the upper and lower surfaces of the battery cell.
The cell size measurement station is distributed, 2 robots, each robot corresponds to 2 double-speed chains, each double-speed chain is matched with 2 cameras for detection, and 4 double-speed chains are provided; the number of batteries is 2×4=8, and the detection cameras are also 8.
Automatic stacking of the battery cells: identifying the direction of the assembly, positioning the battery cell, and guiding the robot to automatically transfer, pick and place for stacking; positioning accuracy is 0.1mm; two robots, each robot is provided with 2 cameras to take photos and position at the same time, and the robots are guided to grasp;
automatic code scanning of battery cell: the functions of automatically scanning the code of the battery cell, reading the information of the battery cell and eliminating the bad effect are realized; two cameras are respectively arranged on two sides of the module, automatically move the scanning code and detect bar code information. Minimum unit value accuracy: 0.05mm. Designating a code scanning gun: keyence_sr_1000 and model above.
The specific process requirements are as follows:
| technological requirements | Specification requirements |
| Code scanning position | Cover electric core two-dimensional code face body scope |
| Battery cell bar code | Bar code is correct (check: date of manufacture, type of battery cell, PN) |
| Cell storage time | Less than or equal to 30 days |
| Cell lot | The batch and the work order are consistent in issuing gear |
| Battery cell gear | The batch and the work order are consistent in issuing gear |
The process flow comprises the following steps: and reading the two-dimension code of the battery cell, comparing the two-dimension code information with data in the MES, automatically placing the battery cell which is not matched with the system information or the battery cell which cannot be read into a defective product area, and supplementing the distribution quantity by using the good product battery cell. The two-dimensional code of the battery cell cannot identify the battery cell which is inconsistent with the information after identification, and cannot be used for processing the same defective products.
Post addressing and height detection: two cameras are respectively arranged on two sides of the module to address the polar columns.
The specific process requirements are as follows:
| sequential order | Name of the name | Specification of specification | Remarks |
| 1 | Incoming material | Grouping feed | Automatic machine |
| 2 | Addressing of cell poles | The repetition accuracy is less than or equal to 0.2mm | The addressing number satisfies the maximum compatible number of trays |
| 3 | Discharging | Automatic machine |
The process requirements and the precision are as follows:
| sequential order | Name of the name | Specification of specification | Remarks |
| 1 | Addressing accuracy | Grouping feed | Less than or equal to 0.2mm (30 times repeated addressing result accuracy) |
| 2 | Finding a location | The repetition accuracy is less than or equal to 0.2mm | Pole edge or pole center, TBD |
| 3 | Number of addresses | The number is uploaded to MES for monitoring | |
| 4 | Cell length recording And give an alarm | Cell length data is retrieved and the same bus is installed in the stacking process The length of the adjacent battery cells is required to be less than or equal to 0.4mm, if the length exceeds the length of the adjacent battery cells, the length of the adjacent battery cells is required to be less than or equal to 0.4mm Alarm, manual confirmation and interception module |
Welding and positioning a busbar: the robot is provided with 2 cameras for module positioning, and the robot is guided to weld by precisely positioning according to pole addressing data. Minimum unit pixel precision: 0.05mm.
Post-bus welding detection: the welding seam detection data are stored locally and can be uploaded to an MES system in real time, and each module welding seam appearance picture is required to correspond to a module bar code. And two sides of the module are respectively provided with a 2D camera and 1 3D profiler, and the length, width and residual height of the weld joint are detected, and defects such as collapse, hole explosion and the like are detected.
Lower shell gluing detection: the robot is provided with a camera, firstly, the box body is photographed and positioned, the robot is guided to glue, and after the glue is coated, photographing is carried out to detect the glue length, width, spacing and position degree. The measurement value of the equipped Master system is compared with the inherent value of the Master, and the system has the functions of a shift-on spot inspection program.
The module is automatically put into a box, and 4 Mark points at the side of the box body are shot for positioning; each robot is provided with 2 cameras, and the modules and the box body are respectively positioned to guide the robots to position; the positioning accuracy is 0.15mm.
And (3) gluing a module pressing bar: the large surface of the pressing strip is coated with structural adhesive, the quality of the adhesive tape is visually detected, and the unqualified product is detected to flow to the next procedure for rechecking and adhesive supplementing. The robot is provided with 1 camera, the box body is photographed and positioned firstly, the robot is guided to glue, and after glue is coated, the length, width, spacing and position degree of glue are detected.
The upper cover is automatically screwed up: positioning the bolts and guiding the robot to a screwing position; detection precision: + -0.15 mm;2 robots are respectively provided with 2 cameras for photographing at the same time, positioning the bolts and guiding the robots to the screwing positions. The operation flow is as follows: the upper cover of the manual material taking frame with the lifting appliance is assembled in the lower shell, and 8 diagonal bolts are manually pre-screwed. The AGV takes the PACK of pretension lid to get into automatic station of screwing up, and the robot takes to screw up the axle and leads to the automatic nail equipment that send of cooperation, screws up case lid set screw according to predetermined order.
The technical requirements are as follows: the upper cover collides in the assembly process, and the position is not deviated. The screws are tightened according to given tightening parameters (sequence/position, torque, tightening angle, etc.).
In order to achieve the above objective, the present invention further provides a system for detecting the quality of full-line production of lithium batteries, as shown in fig. 2, wherein the system specifically comprises:
the data acquisition unit is used for respectively acquiring position data and image data corresponding to the lithium battery on the production line;
the first detection unit is used for respectively detecting the cell size and the rubberizing state of the lithium battery according to the image data;
the second detection unit is used for acquiring the inherent data information of the battery cell and detecting the pole column and the height of the lithium battery in real time according to the inherent data information of the battery cell;
and the third detection unit is used for positioning and detecting busbar welding of the lithium battery, combining appearance detection data of the lithium battery module, gluing devices corresponding to the lithium battery, and packaging and warehousing.
The data acquisition unit further includes:
the first acquisition module is used for starting at least two pieces of data acquisition equipment according to the system instruction; the data acquisition equipment is a high-definition camera;
the second acquisition module is used for guiding the grabbing device to implement grabbing operation in real time through the acquired lithium battery data; wherein the grabbing device is a robot or a mechanical gripper;
and/or, the first detection unit further comprises:
the first generation module is used for generating a battery cell size data set of the lithium battery according to the battery cell size detection data of the lithium battery; the battery cell size data set comprises battery cell station layout, battery cell length data and battery cell thickness data;
and/or, the third detection unit further comprises:
the first detection module is used for respectively detecting the full size of the module of the lithium battery and the gluing of the lower shell;
and the in-box gluing treatment module is used for in-box lithium battery modules and gluing the module pressing strips.
In the embodiment of the system scheme of the present invention, the specific details of the method steps involved in the full-line production quality detection of the lithium battery are set forth above, and are not repeated here.
In order to achieve the above objective, the present invention further provides a full-line production quality detection platform for lithium batteries, as shown in fig. 3, including: the processor, the memory and the lithium battery full-line production quality detection platform control program;
executing the lithium battery full-line production quality detection platform control program on the processor, wherein the lithium battery full-line production quality detection platform control program is stored in the memory, and the lithium battery full-line production quality detection platform control program realizes the steps of the lithium battery full-line production quality detection method, such as:
s1, respectively acquiring position data and image data corresponding to a lithium battery on a production line;
s2, respectively detecting the cell size and the rubberizing state of the lithium battery according to the image data;
s3, acquiring intrinsic data information of the battery cell, and detecting the pole and the height of the lithium battery in real time according to the intrinsic data information of the battery cell;
s4, positioning and detecting busbar welding of the lithium battery, combining appearance detection data of the lithium battery module, gluing devices corresponding to the lithium battery, and packaging and warehousing.
The details of the steps are set forth above and are not repeated here.
In the embodiment of the invention, the processor built in the full-line production quality detection platform of the lithium battery can be composed of integrated circuits, for example, can be composed of single packaged integrated circuits, can also be composed of a plurality of integrated circuits packaged with the same function or different functions, and comprises one or a plurality of central processing units (Central Processing unit, CPU), a microprocessor, a digital processing chip, a graphics processor, a combination of various control chips and the like. The processor utilizes various interfaces and circuit connections to take various components, and executes various functions and processes data of the full line production quality detection of the lithium battery by running or executing programs or units stored in the memory and calling data stored in the memory;
the memory is used for storing program codes and various data, is arranged in a lithium battery full-line production quality detection platform, and realizes high-speed and automatic program or data access in the running process.
The Memory includes Read-Only Memory (ROM), random-access Memory (Random Access Memory, RAM), programmable Read-Only Memory (Programmable Read-Only Memory, PROM), erasable programmable Read-Only Memory (EPROM), one-time programmable Read-Only Memory (OTPROM), electrically erasable programmable Read-Only Memory (EEPROM), compact disc Read-Only Memory (Compact Disc Read-Only Memory, CD-ROM) or other optical disc Memory, magnetic disk Memory, tape Memory, or any other medium from which a computer can be used to carry or store data.
In order to achieve the above objective, the present invention further provides a computer readable storage medium, as shown in fig. 4, where the computer readable storage medium stores a full-line quality detection platform control program for lithium batteries, and the full-line quality detection platform control program for lithium batteries implements the steps of the full-line quality detection method for lithium batteries, for example:
s1, respectively acquiring position data and image data corresponding to a lithium battery on a production line;
s2, respectively detecting the cell size and the rubberizing state of the lithium battery according to the image data;
s3, acquiring intrinsic data information of the battery cell, and detecting the pole and the height of the lithium battery in real time according to the intrinsic data information of the battery cell;
s4, positioning and detecting busbar welding of the lithium battery, combining appearance detection data of the lithium battery module, gluing devices corresponding to the lithium battery, and packaging and warehousing.
The details of the steps are set forth above and are not repeated here.
In the description of embodiments of the invention, it should be noted that any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and that scope of preferred embodiments of the invention includes additional implementations in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order from that shown or discussed, as would be understood by those reasonably skilled in the art of the embodiments of the invention.
Logic and/or steps represented in the flowcharts or otherwise described herein, e.g., a ordered listing of executable instructions for implementing logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, system that includes a processing module, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM).
In addition, the computer readable medium may even be paper or other suitable medium on which the program is printed, as the program may be electronically captured, via, for instance, optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner, if necessary, and then stored in a computer memory.
In an embodiment of the present invention, to achieve the above object, the present invention further provides a chip system, where the chip system includes at least one processor, and when program instructions are executed in the at least one processor, the chip system is caused to perform the steps of the method for detecting quality of full-line production of lithium batteries, for example:
s1, respectively acquiring position data and image data corresponding to a lithium battery on a production line;
s2, respectively detecting the cell size and the rubberizing state of the lithium battery according to the image data;
s3, acquiring intrinsic data information of the battery cell, and detecting the pole and the height of the lithium battery in real time according to the intrinsic data information of the battery cell;
s4, positioning and detecting busbar welding of the lithium battery, combining appearance detection data of the lithium battery module, gluing devices corresponding to the lithium battery, and packaging and warehousing.
The details of the steps are set forth above and are not repeated here.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application. It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, and are not repeated herein.
The method comprises the steps of respectively obtaining position data and image data corresponding to the lithium battery on a production line; according to the image data, respectively detecting the cell size and the rubberizing state of the lithium battery; acquiring intrinsic data information of the battery core, and detecting the pole column and the height of the lithium battery in real time according to the intrinsic data information of the battery core; the busbar welding of the lithium battery is positioned and detected, the appearance detection data of the lithium battery module are combined, after the device corresponding to the lithium battery is glued, the device is packaged and put in storage, and a system, a platform and a storage medium corresponding to the method solve the pain point of the industry, replace the eye detection of workers, and adopt the optomechanical and electrical soft comprehensive technology to ensure that the battery is safer. That is, the method can replace the traditional human eye detection mode, reduces the workload, improves the working efficiency and improves the quality detection quality.
The foregoing examples illustrate only a few embodiments of the invention and are described in detail herein without thereby limiting the scope of the invention. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the invention, which are all within the scope of the invention. Accordingly, the scope of protection of the present invention is to be determined by the appended claims.
Claims (4)
1. The method for detecting the production quality of the lithium battery on the whole line is characterized by comprising the following steps:
respectively acquiring position data and image data corresponding to the lithium battery on a production line; comprising the following steps: according to the system instruction, at least two data acquisition devices are started to simultaneously take photos and position; the direction of the assembly is identified, and the battery cell is positioned to guide the robot to automatically transfer, pick and place for stacking; wherein the data acquisition device is a high definition camera; the grabbing device is guided to conduct grabbing operation in real time through the acquired lithium battery data; wherein the grabbing device is a robot or a mechanical gripper;
according to the image data, respectively detecting the cell size and the rubberizing state of the lithium battery; comprising the following steps: generating a battery cell size data set of the lithium battery according to the battery cell size detection data of the lithium battery; the battery cell size data set comprises battery cell station layout, battery cell length data and battery cell thickness data;
acquiring intrinsic data information of the battery core, and detecting the pole column and the height of the lithium battery in real time according to the intrinsic data information of the battery core; comprising the following steps: positioning and addressing the polar column;
positioning and detecting busbar welding of the lithium battery, combining appearance detection data of a lithium battery module, gluing devices corresponding to the lithium battery, packaging and warehousing, wherein the method comprises the following steps of: detecting the full size of the module of the lithium battery and the gluing of the lower shell respectively; putting the lithium battery module into a box, and performing gluing treatment on a pressing strip of the lithium battery module;
and in the gluing process of the lower shell, the box body is photographed and positioned firstly, the robot is guided to glue, and after the gluing is finished, photographing is performed to detect the glue length, width, spacing and position degree.
2. A lithium battery full line quality detection system, the system comprising:
the data acquisition unit is used for respectively acquiring position data and image data corresponding to the lithium battery on the production line;
the first detection unit is used for respectively detecting the cell size and the rubberizing state of the lithium battery according to the image data;
the second detection unit is used for acquiring the inherent data information of the battery cell and detecting the pole column and the height of the lithium battery in real time according to the inherent data information of the battery cell;
the third detection unit is used for positioning and detecting busbar welding of the lithium battery, combining appearance detection data of the lithium battery module, gluing devices corresponding to the lithium battery, and packaging and warehousing;
the data acquisition unit further includes:
the first acquisition module is used for starting at least two pieces of data acquisition equipment according to the system instruction; the data acquisition equipment is a high-definition camera;
the second acquisition module is used for guiding the grabbing device to implement grabbing operation in real time through the acquired lithium battery data; wherein the grabbing device is a robot or a mechanical gripper;
and/or, the first detection unit further comprises: the first generation module is used for generating a battery cell size data set of the lithium battery according to the battery cell size detection data of the lithium battery; the battery cell size data set comprises battery cell station layout, battery cell length data and battery cell thickness data;
and/or, the third detection unit further comprises: the first detection module is used for respectively detecting the full size of the module of the lithium battery and the gluing of the lower shell; and the in-box gluing treatment module is used for in-box lithium battery modules and gluing the module pressing strips.
3. The full-line production quality detection platform for the lithium battery is characterized by comprising a processor, a memory and a full-line production quality detection platform control program for the lithium battery;
the processor executes the full-line production quality detection platform control program of the lithium battery, the full-line production quality detection platform control program of the lithium battery is stored in the memory, and the full-line production quality detection platform control program of the lithium battery realizes the full-line production quality detection method of the lithium battery according to claim 1.
4. A computer readable storage medium, wherein the computer readable storage medium stores a lithium battery full line production quality detection platform control program, and the lithium battery full line production quality detection platform control program implements the lithium battery full line production quality detection method according to claim 1.
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| CN108539243A (en) * | 2018-02-25 | 2018-09-14 | 深圳市联赢激光股份有限公司 | A kind of battery modules automatically welding workstation |
| CN109443418A (en) * | 2018-08-31 | 2019-03-08 | 广州超音速自动化科技股份有限公司 | Pole piece film-making rubberizing and naked battery core detection method, equipment, storage medium and system |
| CN109585935B (en) * | 2018-11-28 | 2021-07-23 | 江西安驰新能源科技有限公司 | Assembling process of lithium battery module |
| CN109888363A (en) * | 2019-03-29 | 2019-06-14 | 广东利元亨智能装备股份有限公司 | A kind of battery core automatic production line |
| CN110632088A (en) * | 2019-08-09 | 2019-12-31 | 广州超音速自动化科技股份有限公司 | Battery edge sealing and gluing detection equipment and detection method |
| CN110571401A (en) * | 2019-09-20 | 2019-12-13 | 江西优特汽车技术有限公司 | Lithium battery tab welding structure and welding firmness degree detection method thereof |
| CN111398296A (en) * | 2020-04-27 | 2020-07-10 | 浙江尚特新能源科技有限公司 | System and method for detecting welding quality of tab of battery module of soft-package battery cell |
| CN112331900A (en) * | 2020-11-26 | 2021-02-05 | 江苏逸飞激光设备有限公司 | Battery module production line |
| CN114566692A (en) * | 2020-11-27 | 2022-05-31 | 中车时代电动汽车股份有限公司 | Preparation system and preparation method of packaged battery |
| CN115200489A (en) * | 2022-06-16 | 2022-10-18 | 岳阳耀宁新能源科技有限公司 | Detection tool, lithium battery industry module PACK range finder and camera calibration method |
| CN115236074A (en) * | 2022-06-21 | 2022-10-25 | 广州超音速自动化科技股份有限公司 | Detection method, system and platform for lithium battery pole piece lamination |
| CN115049659A (en) * | 2022-08-15 | 2022-09-13 | 江苏时代新能源科技有限公司 | Gluing quality detection method, control device and system |
| CN115661040B (en) * | 2022-09-28 | 2023-07-14 | 广州市易鸿智能装备有限公司 | Lithium battery cell gluing detection method and device and electronic equipment |
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