KR0165606B1 - Battery assembling test device and the control method - Google Patents

Abstract

The present invention relates to an automated manufacturing system for spiral batteries, and in the related art, in the manufacturing process of such batteries, in the state in which various parts are mounted in the battery can, the defects and goodness of the mounting state are inspected and processed only by the naked eyes of the operator. As a result, such a decrease in productivity of the battery was of course a problem in securing the reliability of the product.

This product is to control the color signal of the battery to be inspected by receiving a light emitted from the halogen irradiator 200 and the halogen irradiator 200 to the inside of the battery can (1) to improve this problem Battery unit, characterized in that consisting of a sensor unit 300 to be sent to 400 and the control processor 400 for sorting the good or bad of the battery by comparing the detected color signal value provided from the sensor unit 300 with the reference data An assembly state detecting apparatus and a control processing method thereof are provided.

Description

Battery assembly bad state detection device and control method

1 is a reference diagram showing the structure of a spiral lithium battery according to the present invention.

2 is a reference diagram provided with a battery assembly failure state detection device of the present invention in an automated system for automatically producing the lithium battery.

3 is a block diagram of a battery assembly failure state detection circuit according to the present invention.

4 is a process flow diagram of a method for detecting a bad battery assembly state associated with FIG.

* Explanation of symbols for main parts of the drawings

200: halogen irradiator 300: sensor

301: light receiving lens 302: color separator

303: Amplifier 304: AD Converter

400: control processor 401: input / output port

402: CPU oil 403: EPROM

404: die converter 405: robot drive unit

The present invention relates to an automated manufacturing system for a spiral primary battery, and in particular, in this manufacturing process, it is possible to optically detect whether each component assembled and integrated in the battery can is properly mounted to sort out good and defective products. It would be.

Generally, batteries are classified into primary batteries that are disposable and rechargeable batteries that are used for memory (data) backup.

In recent years, as a primary battery, in addition to general primary batteries such as manganese batteries, mercury batteries, and nickel-cadmium (NiCd) batteries, lithium batteries, which are nickel metal hydride (NiMH) and lithium ion (Lithium ion) batteries, Lithium battery usage is on the rise.

This is because nickel metal hybrid and lithium ion type batteries have a long service life (including recharging), that is, their lifespan is significantly longer than other batteries, and they are lightweight.

In particular, the life of the battery is long because, first of all, the contents of the battery itself are almost never leaked.

In addition, in mobile computing environments (anytime, anywhere the computer can be used), depending on the conditions of use of the system, but the universal primary battery is generally not used because of its low average life.

On the other hand, such a primary battery is known in a variety of types of the lithium ion battery cells related to the present invention has the lightest metal properties of atomic weight 6.94g, specific gravity 0.59g / 1, melting point 180 ℃, boiling point 1400 ℃ and hardness 0.6. Therefore, it is mainly used for manufacturing, and it is widely used for various electronic devices such as imaging devices, communication devices, optical devices, medical devices, computers and peripherals, and according to its shape, spiral type, bobbin type ( Bobbin Type) and Coin Type.

The form of the spiral type lithium battery is shown in FIG. 1.

Here, a can 1 having a nickel-chromium plated upper surface opened on the surface of the battery main body, a separator 2 embedded in a state in which the can 1 is wound with a predetermined number of turns, and a lower side of the separator 2. An anode terminal 3 spot-welded to the inner bottom surface of the can 1 so that the lower side of the can 1 has a negative electrode and a separator 2 so that the upper side of the can 1 has a positive electrode. A ring washer coupled to the upper side of the cathode terminal 4 protruding upward of the separator 2 and fixed by the recess 1a of the can 1 and supporting the separator 2. (5), a gasket 6 embedded thereon on the basis of the recess 1a of the can 1, supported by the gasket 6, laminated inside the can 1, and respectively gas A lower cap 7 in which the discharge holes 7a, 8a and 9a are perforated, a PTC element 8 and an upper cap 9, a ring washer 10 stacked on the lower cap 7, Usually carbon (1 The subplate 11b was crimped to the upper and lower surfaces of 1a).

The lower cap 7 is spot welded at one end of the cathode terminal 4 on the lower side thereof, and the upper peripheral portion of the lower cap 7 is bent to be connected to the PTC element 8, and the The upper peripheral portion was bent to connect to the gasket 6 supporting the upper cap 9.

The PTC element 8 blocks the commercial voltage of the battery itself, that is, the overcurrent by the area resistance, so that the short-circuit generated when the overcurrent passes through the PTC element, the heat generation, and the temperature rise, The battery 1 was configured to prevent explosion of the battery due to oxidation with nickel-chromium component plated on the can 1.

On the other hand, Figure 2 shows part of the automated manufacturing system process of the spiral battery according to the present invention.

Here, the electrolyte by the electrolyte injection device in a state where the lower cap 7, the PTC element 8, the ring washer 10, the gasket 6, and the like are assembled in the battery can 1 in a path flowing through the conveyor line. The finished battery product was obtained through this process of injecting, the can assembly process of joining the upper cap 9, and the pre-discharge process.

However, in the conventional battery manufacturing process, the tab of the cathode terminal 4, the aluminum foil 11 made of the subplate 11b, carbon 11a, etc., the PTC element 8, the lower cap 7, etc. In the process of assembling with the gasket 6, they are often not assembled properly and are often assembled incorrectly.

In this case, when batteries were manufactured in an assembled state out of these parts, they had problems in performing their functions properly and, as a result, they had to be defectively processed.

However, in the related art, there is no suitable method for inspecting a defective state of a battery that has already been assembled, causing a decrease in reliability of the product.

Accordingly, the present invention has been made to solve the above problems, it is optically accurate and quickly detect whether the assembly state is assembled in place while the other parts such as the gasket and PTC element in the battery can In addition, it is possible to automatically perform good and defective product sorting according to the detected result, thereby improving the productivity of such a system and ensuring good reliability of the product.

The present invention for achieving the above object is a halogen irradiator for irradiating a halogen light to the battery can, a sensor unit for receiving the light emitted from the halogen irradiator, and a control for processing a predetermined signal received from the sensor unit It is characterized by a configuration including a battery assembly failure state detection device consisting of a processor and a control method thereof.

Hereinafter, specific features of the present invention will be understood by describing the same in more detail with the accompanying drawings.

That is, Figure 2 shows an example of a battery assembly failure state detection apparatus according to the present invention.

Here, the first step of assembling various parts directly in the battery can 1, the second step of coupling the upper cap 9 in the state where the various parts are integrated in the first step, and the third step of the preliminary discharge operation. In the battery manufacturing process, the assembly failure state detection process of the battery is interposed between the first step and the second step.

The circuit of the defective state detecting device used in the battery assembly defective state detecting process is, as shown in Fig. 2, a halogen irradiator 200 which is installed above the battery can 1 and irradiates halogen rays toward internal parts, and the halogen The sensor unit 300 for receiving the light beams reflected by the assembled parts inside the battery can and the halogen rays irradiated with the irradiator 200 and the signals received in connection with the sensor unit 300 are analyzed and analyzed. It is composed of a control processing unit 400 for judging and generating a control signal.

The sensor unit 300 is connected to the light receiving lens 301 and the light receiving lens 301 to receive the reflected halogen rays, as shown in FIG. 3, red, green, blue A color signal separator 302 which is separated by a power amplifier), an amplifier 303 connected to the color signal separator 302 to amplify the separated color signal, and an analog color signal amplified by being connected to the amplifier 303 to convert a digital signal into a digital signal. It consists of a transducer 304.

In addition, the control processing unit 400 is connected to the converter 304 and inputs the converted signal and the input and output port 401 for inputting and outputting the result signal of the processing process 402, the input and output port 401 and The sipe oil 402 which is connected and analyzes and processes the color difference of the input signal, an EPROM 403 which is connected to the sipe oil 402 and stores the color difference information, and the sipe oil 402 is described above. By comparing the reference data stored in the pyramid 403 and the detection data of the battery under inspection, it is determined whether the assembly state of the battery under inspection is normal. If it is normal, it sends a signal for sending the battery to the next process or if it is abnormal. A die converter 404 for converting the output signal into a die converter 404 as the robot sends a robot operation signal to pick up the battery, and is connected to the die converter 404 to drive the robot. The robot driver 405 is formed.

In addition, Figure 4 shows an embodiment of a battery bad assembly state detection method according to the present invention.

In this case, the steps of setting the number of inspections and initializing the counter coefficients (501), irradiating the inside of the battery can with halogen light (502), receiving the reflected halogen light with a light receiving lens (503), Color separation of the optical signal into red, green, and blue signals (504), amplification of the decomposed color signal (505), and conversion of the amplified signal to digital data through an AD converter (506). And receiving the converted signal and comparing the CSI with the reference data stored in the pyramid (507). When the input data differs from the reference data by a predetermined value or more, the battery is regarded as defective and the corresponding battery is regarded as defective. If the bad data is sent to the robot to pick up the robot operation signal 509 and the input data is the same as the reference data, the battery is regarded as a good battery and the battery Moving to step 508, next adding step 510 to the counter, determining step 511 whether the counter has reached the set number of inspections, and if the set number of times is reached, If it is not reached after the completion of the step consists of returning to the halogen light irradiation step.

The present invention as described above is as follows.

That is, as shown in FIG. 2 and FIG. 3, when the halogen light is irradiated while the parts are assembled in the battery can 1 in the correct position, the color signal reflected by the parts inside the battery and input to the sensor unit 300 is shown. If the color signal data of the scattered light obtained by investigating the battery to be inspected in the state of memorizing in the pyramid as the reference data is more than the predetermined value by the reference data, it is judged that the component is installed incorrectly, and the battery is treated badly. When there is no difference between the two parts, the battery will be moved to the next process.

In this case, when the halogen light is irradiated into the battery can 1 at a close distance in the halogen irradiator 200 of FIGS. 2 and 3, light incident through the light receiving lens 301 of the controller 300 is collected. The light is transmitted to the color separator 302, and the color separation of the light incident from the color separator 302 is performed to provide the detected signal to the AD converter 304 via the amplifier 303.

The AD converter 304 converts an input analog signal into a digital signal and provides the input / output port 400 to the input / output port 401 of the control processor 400.

The sipe oil 402 extracts the reference data stored in the ipyrom 403, which is a memory, and compares the detected data with the detection data to determine whether the assembled battery of the inspection target battery is good or bad.

If it is determined that the defective in the above process, the robot driving unit 405 is driven to pick up and remove the defective battery.

This operation is performed together with the battery bad assembly state detection program of FIG. 4, in which the system sipe oil 402 initializes the counter of the number of inspection batteries to 1 and receives a predetermined detection beam from the light receiving lens 301. The analysis is then compared with reference data (steps 501 to 507).

After that, the sorting process is performed according to the determination of good or bad goods (steps 508 to 511).

The present invention automatically detects whether or not a component mounted in the can is properly mounted after the process of assembling and mounting various components inside the battery can in the battery automated manufacturing system using optical means, and automatically delivers the goods according to the detected result. Defective sorting can be done to improve the productivity of these systems and ensure the reliability of the product.

Claims (4)

In an automated manufacturing system of spiral batteries, a halogen irradiator 200 that irradiates halogen rays into the battery can 1 and light emitted from the halogen irradiator 200 are reflected by components inside the battery to be inspected. The sensor unit 300 that receives the color signal and sends the color signal to the control processor 400, and a control processor 400 for sorting the good or bad parts of the battery by comparing the detected color signal value provided by the sensor unit with reference data. Battery bad assembly state detection device, characterized in that consisting of. According to claim 1, wherein the sensor unit 300 is a light receiving lens 301 for receiving the reflected halogen rays, and a color signal separator connected to the light receiving lens 301 to separate the received color signal into red, green, blue 302, an amplifier 303 connected to the color signal separator 302 to amplify the separated color signal, and a converter 304 connected to the amplifier 303 to convert the amplified analog color signal into a digital signal. Battery bad assembly state detection device, characterized in that. The input / output port (401) of claim 1, wherein the control processor (400) is connected to the converter (304) for inputting a converted signal and for inputting and outputting a signal processed by the sipe oil (402). A sipe oil 402 which is connected to the 401 to analyze and process the color difference of the input signal, an epiphym 403 which is connected to the sipe oil 402 and stores the color difference information, and the sipe oil 402 Delay converter for determining whether the assembly of the battery parts is normal or not if the normal sends a signal to send the battery to the next process or if the robot sends a robot operation signal to pick up the battery if the abnormal ( 404 and a robot drive unit 405 connected to the die converter 404 to drive the robot. In an automated manufacturing system for spiral batteries, a step (501) of setting a test frequency and initializing a counter coefficient, a step (502) of irradiating the inside of the battery can with halogen light, and receiving the reflected halogen light with a light receiving lens Step 503, color separation of the received signal into red, green, and blue signals (504), amplification of the decomposed color signal (505), and the amplified signal through the analog converter digital data A step 506 of converting the data into the data; a step 507 of receiving the converted signal and comparing the reference signal with reference data stored in the pyramid; and when the input data differs from the reference data by a predetermined value or more, If the battery is regarded as defective and the robot operation signal is sent to the robot to pick up the battery, the bad operation step 509 and a good battery when the input data are the same as the reference data A step 508 of moving the battery to the next process, a step 510 of adding a counter count next to the step 510, a step 511 of determining whether the counter count has reached a set test count value, If the set number of times is reached, the process is completed, if not reached, the step of returning to the halogen light irradiation step comprising the step of detecting a bad assembly state of the battery.