CN109540967A - Weld quality prediction system and method - Google Patents
Weld quality prediction system and method Download PDFInfo
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- CN109540967A CN109540967A CN201711241816.3A CN201711241816A CN109540967A CN 109540967 A CN109540967 A CN 109540967A CN 201711241816 A CN201711241816 A CN 201711241816A CN 109540967 A CN109540967 A CN 109540967A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N25/00—Investigating or analyzing materials by the use of thermal means
- G01N25/72—Investigating presence of flaws
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Abstract
The present invention provides a kind of weld quality prediction system and method, system includes: detection microscope carrier, DC load, thermal imaging system and data processing equipment；It detects microscope carrier and carries battery modules, battery modules are connect with DC load；DC load is for doing discharge treatment to battery modules；Thermal imaging system is set on detection microscope carrier, and thermal imaging system is used to detect the temperature value of each area to be tested in battery modules, generates the temperature data for being directed to area to be tested；Data processing equipment is connect with thermal imaging system, for receiving the temperature data of thermal imaging system transmission, when the maximum temperature values in temperature data are greater than normal temperature value, determines that battery modules are damaged.The present invention can obtain the temperature value variation of the welding region of battery modules during discharge by thermal image detection, to accurately judge whether the welding quality of welding region is qualified, so that detection accuracy is higher, testing result is more acurrate.
Description
Technical field
The present invention relates to automotive inspection equipment technical field, in particular to a kind of weld quality prediction system and method.
Background technique
The power of electric car is provided by on-vehicle battery packet, and battery pack is to pass through series connection and realization design in parallel by mould group
Voltage includes battery core in the composition of mould group again, during battery core forms mould group, needs to use laser technology, specifically,
Pole outside the battery core of mould group is soldered to busbar connector by laser technology, but since the welding condition of laser welding is very harsh,
Weldment surface is dirty, gap is big, power not enough, protection gas shortcoming etc. can all lead to the appearance of failure welding, cross electric energy power and
Intensity can all reduce.
Currently, the detection scheme of the Laser Welding Quality for battery modules are as follows: carried out by video camera to welding region
Shooting, then the photo by obtaining shooting are compared with standard photographs, so that it is determined that whether welding quality is up to standard, acceptance of the bid
Quasi- photo is the photo of the welding region of welding quality battery modules up to standard.
It is the surface state phenomenon of welding region by the photo that video camera photographed but in current scheme, it can not
The case where internal weld seams in Reaction Welding region, causes to cause quality testing to the accuracy decline of the Quality estimation of welding region
As a result inaccurate.
Summary of the invention
In view of this, the present invention is directed to propose a kind of weld quality prediction system and method, are led in the prior art with solution
Cross the surface state phenomenon that the photo that video camera photographed is welding region, can not Reaction Welding region internal weld seams feelings
Condition leads to the accuracy decline to the Quality estimation of welding region, causes the problem of quality measurements inaccuracy.
In order to achieve the above objectives, the technical scheme of the present invention is realized as follows:
A kind of weld quality prediction system, the weld quality prediction system include:
Detect microscope carrier, DC load, thermal imaging system and data processing equipment；
The detection microscope carrier carries battery modules, and the battery modules are connect with the DC load；
The DC load be used for after the DC load is connect with the battery modules, according to preset period of time with
Default discharge-rate does discharge treatment to the battery modules；
The thermal imaging system is set on the detection microscope carrier, and the shooting direction of the thermal imaging system is towards the battery mould
Group；The thermal imaging system is used for when the battery modules do discharge treatment, detects each area to be tested in the battery modules
Temperature value, generate be directed to area to be tested temperature data；
The data processing equipment is connect with the thermal imaging system, the temperature data sent for receiving the thermal imaging system, when
When maximum temperature values in the temperature data are greater than normal temperature value, the battery modules damage is determined.
Further, the DC load includes: load main body, positive discharge folder and negative discharge folder；
One end of positive discharge folder and one end of negative discharge folder respectively with the anode of the load main body and
Cathode connection；
The other end of the positive discharge folder is connect with the anode of the battery modules, the other end of the negative discharge folder
It is connect with the cathode of the battery modules；
The load main body be used for the positive discharge folder and the negative discharge press from both sides respectively with the battery modules
After anode is connected with cathode, discharge treatment is done to the battery modules according to preset period of time and default discharge-rate.
Further, the weld quality prediction system further include:
Barcode scanning device；
The barcode scanning device is set on the detection microscope carrier, and the shooting direction of the barcode scanning device is towards the battery
Mould group；
The barcode scanning device is used for before the DC load does discharge treatment to the battery modules, to the battery
Mould group carries out barcode scanning operation, obtains the characteristic information of the battery modules, and the characteristic information is sent at the data
Manage device.
Further, the weld quality prediction system further include:
Online transiting vehicle and offline transiting vehicle；
The online transiting vehicle is connect with the entrance of the detection microscope carrier, the offline transiting vehicle and the detection microscope carrier
Outlet connection；
The online transiting vehicle includes: the first microscope carrier, multiple first directive wheels and multiple first rollers；
First directive wheel is connect with first microscope carrier, and first roller is set on first microscope carrier；
The offline transiting vehicle includes: the second microscope carrier, multiple second directive wheels and multiple second tin rollers；
Second directive wheel is connect with second microscope carrier, and the second tin roller is set on second microscope carrier.
Further, the preset period of time is 10 seconds；
The default discharge-rate is 8.
A kind of welding quality detection method, the welding quality detection method include:
DC load and battery modules are attached；
The DC load does discharge treatment to the battery modules according to preset period of time and default discharge-rate；
The temperature value of each area to be tested in the battery modules is detected by thermal imaging system, is generated and is directed to area to be tested
Temperature data；
The temperature data is sent to data processing equipment；
When the maximum temperature values in the temperature data are greater than normal temperature value, described in the data processing equipment determination
Battery modules damage.
Further, described the step of being attached DC load and battery modules, comprising:
Positive discharge folder and negative discharge folder that the DC load includes are being respectively connected to the battery modules just
Pole and cathode.
Further, the battery modules are done according to preset period of time and default discharge-rate in the DC load
Before the step of discharge treatment, further includes:
Judge whether the polarity of the battery modules is correct by the DC load；
If the polarity of the battery modules is correct, the DC load is executed according to preset period of time and default electric discharge
The step of multiplying power does discharge treatment to the battery modules；
If the polarity of the battery modules is incorrect, the DC load issues warning information.
Further, before the step of being attached DC load and battery modules, further includes:
Barcode scanning operation is carried out to the battery modules by barcode scanning device, obtains the characteristic information of the battery modules；
The characteristic information is sent to the data processing equipment by the barcode scanning device.
Further, after the step of temperature data is sent to data processing equipment, further includes:
The data processing equipment is according to the characteristic information and temperature data for the battery modules received, by institute
Characteristic information and temperature data is stated to bind with corresponding battery modules.
Compared with the existing technology, a kind of weld quality prediction system of the present invention and method have the advantage that
A kind of weld quality prediction system provided in an embodiment of the present invention and method, the system comprises: detection microscope carriers, straight
Current load, thermal imaging system and data processing equipment；It detects microscope carrier and carries battery modules, battery modules are connect with DC load；Direct current
Load is for doing discharge treatment to battery modules；Thermal imaging system is set on detection microscope carrier, and thermal imaging system is for detecting in battery modules
The temperature value of each area to be tested generates the temperature data for being directed to area to be tested；Data processing equipment is connect with thermal imaging system,
For receiving the temperature data of thermal imaging system transmission, when the maximum temperature values in temperature data are greater than normal temperature value, electricity is determined
The damage of Chi Mo group.The present invention can obtain the temperature value of the welding region of battery modules during discharge by thermal image detection
Variation, to accurately judge whether the welding quality of welding region is qualified, so that detection accuracy is higher, testing result is more acurrate.
Detailed description of the invention
The attached drawing for constituting a part of the invention is used to provide further understanding of the present invention, schematic reality of the invention
It applies example and its explanation is used to explain the present invention, do not constitute improper limitations of the present invention.In the accompanying drawings:
Fig. 1 is a kind of structural schematic diagram of weld quality prediction system described in the embodiment of the present invention；
Fig. 2 is a kind of overlooking structure diagram of battery modules described in the embodiment of the present invention；
Fig. 3 is the overlooking structure diagram of another battery modules described in the embodiment of the present invention；
Fig. 4 is a kind of step flow chart of welding quality detection method described in the embodiment of the present invention；
Fig. 5 is a kind of specific steps flow chart of welding quality detection method described in the embodiment of the present invention.
Specific embodiment
It should be noted that in the absence of conflict, the feature in embodiment and embodiment in the present invention can phase
Mutually combination.
The present invention will be described in detail below with reference to the accompanying drawings and embodiments.
As shown in Figure 1, it illustrates a kind of structural schematic diagram of weld quality prediction system provided in an embodiment of the present invention,
The weld quality prediction system includes: that detection microscope carrier 10, DC load 20, thermal imaging system 30 and data processing equipment (do not show in figure
Out)；It detects microscope carrier 10 and carries battery modules 40, battery modules 40 are connect with DC load 20；Thermal imaging system 30 is set to detection and carries
On platform 10, and the shooting direction of thermal imaging system 30 is towards battery modules 40；Data processing equipment is connect with thermal imaging system 30.
Specifically, DC load 20 is used for after DC load 20 is connect with battery modules 40, according to preset period of time
Discharge treatment is done to battery modules 40 with default discharge-rate.
Thermal imaging system 30 is used for when battery modules 40 do discharge treatment, detects each area to be tested in battery modules 40
Temperature value generates the temperature data for being directed to area to be tested.
Data processing equipment is used to receive the temperature data of the transmission of thermal imaging system 30, when the maximum temperature values in temperature data are big
When normal temperature value, determine that battery modules 40 are damaged.
In embodiments of the present invention, specifically, referring to Fig. 2, it illustrates a kind of battery moulds provided in an embodiment of the present invention
The overlooking structure diagram of group, battery modules 40 can be made of several battery cores 401, particular by will battery core 401 it is outer
Pole is welded as a whole with busbar connector (not shown) by laser welding process, welding region 402 be it is as shown in the figure, by
Very harsh in the welding condition of laser welding, weldment surface is dirty, gap is big, and inadequate, protection gas shortcoming of power etc. can all be led
The appearance of failure welding is caused, crossing electric energy power and intensity can all reduce.
In the present invention to the detection of the welding quality of battery modules 40 primarily directed to a battery modules 40 include it is more
What a welding region 402 carried out, by being connect by DC load 20 with battery modules 40, and according to preset period of time and preset
Discharge-rate does discharge treatment to battery modules 40, so that the temperature of welding region 402 changes in battery modules 40, and sets
The coverage for the thermal imaging system 30 for being placed in 40 top of battery modules can cover entire battery modules 40, and thermal imaging system 30 is using red
External detector and optical imaging objective receive the infrared radiation energy distribution pattern reflection of measured target to the light of infrared detector
On quick element, to obtain Infrared Thermogram, this thermography is corresponding with the heat distribution field of body surface.Generally thermal imagery
Instrument 30 is exactly that the invisible infrared energy for issuing object is changed into visible thermal image, the different colours generation of the upper surface of thermal image
The different temperatures of table testee.Therefore, thermal imaging system 30 can detecte each welding region 402 in battery modules 40 and discharge
The variation of temperature value in treatment process obtains the temperature data of each welding region 402 after discharge treatment.
Again in concrete application, for example, the maximum specification of the battery modules usually detected is 800 millimeters multiplied by 350 millis
Rice is multiplied by 200 millimeters, and the maximum coverage of thermal imaging system 30 is similarly above-mentioned specification, if having less than above-mentioned size battery cell mould group 40
When being detected, coverage is adjusted to and matches with battery modules 40 by the coverage of adjustable thermal imaging system 30.
It should be noted that data processing equipment can be mobile terminal, such as mobile phone, computer equipment, data processing
Device can be independent equipment, be connect by data line or wireless network with thermal imaging system 30 or DC load 20, in addition, data
Processing unit can also become one with thermal imaging system 30 or DC load 20, to save occupied space.
Specifically, data processing equipment can receive the temperature data of the transmission of thermal imaging system 30, and the data are analyzed
Processing, obtains temperature change table, and data processing equipment can judge that the temperature value of which welding region 402 is greater than normal temperature
Value, so that it is determined that the unqualified welding region 402 of welding quality out, wherein normal temperature value is the battery modules of requisite quality
The value in temperature change table during discharge, can be used as contrasting foundation, in battery modules technical field of laser welding,
When soldered solder joint heat up during discharge it is too fast, when the temperature is excessively high, the solder joint i.e. there are hidden danger of quality.
In conclusion a kind of weld quality prediction system provided in an embodiment of the present invention, comprising: detection microscope carrier, direct current are negative
Load, thermal imaging system and data processing equipment；It detects microscope carrier and carries battery modules, battery modules are connect with DC load；DC load
For doing discharge treatment to battery modules；Thermal imaging system is set on detection microscope carrier, and thermal imaging system is each in battery modules for detecting
The temperature value of area to be tested generates the temperature data for being directed to area to be tested；Data processing equipment is connect with thermal imaging system, is used for
The temperature data that thermal imaging system is sent is received, when the maximum temperature values in temperature data are greater than normal temperature value, determines battery mould
Group damage.The present invention can be obtained the temperature value of the welding region of battery modules during discharge by thermal image detection and be become
Change, to accurately judge whether the welding quality of welding region is qualified, so that detection accuracy is higher, testing result is more acurrate.
Optionally, referring to Fig.1, DC load 20 includes: load main body 201, positive discharge folder 202 and negative discharge folder
203；One end of positive discharge folder 202 and one end of negative discharge folder 203 connect with the anode of load main body 201 and cathode respectively
It connects；With further reference to Fig. 3, it illustrates the overlooking structure diagrams of another battery modules provided in an embodiment of the present invention, just
The other end of pole electric discharge folder 202 is connect with the anode 404 of battery modules 40, the other end and battery modules of negative discharge folder 203
40 cathode 403 connects；Load main body 201 be used for positive discharge folder 202 and negative discharge folder 203 respectively with battery modules 40
Anode 404 and cathode 403 connect after, battery modules 40 are done at electric discharge according to preset period of time and default discharge-rate
Reason.
Optionally, preset period of time is 10 seconds；Default discharge-rate is 8.
In embodiments of the present invention, battery modules 40 are commonly used in providing electric energy to electric car, so battery modules 40
It is in discharge condition in actual use, is attached simultaneously discharge treatment by DC load 20 and battery modules 40,
Can be with the real use state of simulated battery mould group 40, if welding region 402 heats up too fast during discharge, temperature is excessively high
When, i.e. there are hidden danger of quality for the solder joint, in addition, obtained according to experiment, when the preset period of time of discharge treatment is 10 seconds, preset
When discharge-rate is 8C, the detection accuracy and effect are best.
Optionally, referring to Fig.1, weld quality prediction system further include: barcode scanning device (not shown)；Barcode scanning device is set
It is placed on detection microscope carrier 10, and the shooting direction of barcode scanning device is towards battery modules 40；Barcode scanning device is used in DC load 20
Before doing discharge treatment to battery modules 40, barcode scanning operation is carried out to battery modules 40, obtains the characteristic information of battery modules 40,
And characteristic information is sent to data processing equipment.
It in embodiments of the present invention, all can be each battery modules 40 distribution one in the production process of battery modules 40
A bar code, bar code are attached to 40 surface of battery modules, and bar code includes the characteristic information of each battery modules 40, feature letter
Breath includes: the parameters such as coding, model, the specification of battery modules 40, and the bar code of each battery modules 40 is different, and barcode scanning device can
To obtain the characteristic information of battery modules 40 and be sent to data processing equipment by scanning bar code, data processing equipment root
According to the characteristic information and temperature data of battery modules 40, bar code and testing result are bound, so that staff identifies.
It should be noted that barcode scanning device can become one with thermal imaging system 30, barcode scanning device can also be independently arranged
On detection microscope carrier 10, this is not limited by the present invention.
Optionally, referring to Fig.1, weld quality prediction system further include: online transiting vehicle 50 and offline transiting vehicle 60；It is online
Transiting vehicle 50 is connect with the entrance of detection microscope carrier 10, and offline transiting vehicle 60 is connect with the outlet of detection microscope carrier 10；Online transiting vehicle
50 include: the first microscope carrier 501, multiple first directive wheels 502 and multiple first rollers 503；First directive wheel 502 and the first microscope carrier
501 connections, the first roller 503 are set on the first microscope carrier 501；Offline transiting vehicle 60 includes: the second microscope carrier 601, multiple second
Directive wheel 602 and multiple second tin rollers 603；Second directive wheel 602 is connect with the second microscope carrier 601, and second tin roller 603 is set to
On two microscope carriers 601.
In embodiments of the present invention, online transiting vehicle 50 is set and offline transiting vehicle 60 can be convenient removing for power supply mould group 40
Fortune and handling, online transiting vehicle 50 and offline transiting vehicle 60 can be by guiding wheel drives, by manually pushing its movement, multiple rollings
Cylinder, which is arranged side by side to be capable of forming, loads surface, and for placing power supply mould group 40, also, roller can be rolled along axis, so that electric
Source mould group 40 is moved by the rolling of roller along surface is loaded, and Welding quality test process is simplified.
In conclusion a kind of weld quality prediction system provided in an embodiment of the present invention, comprising: detection microscope carrier, direct current are negative
Load, thermal imaging system and data processing equipment；It detects microscope carrier and carries battery modules, battery modules are connect with DC load；DC load
For doing discharge treatment to battery modules；Thermal imaging system is set on detection microscope carrier, and thermal imaging system is each in battery modules for detecting
The temperature value of area to be tested generates the temperature data for being directed to area to be tested；Data processing equipment is connect with thermal imaging system, is used for
The temperature data that thermal imaging system is sent is received, when the maximum temperature values in temperature data are greater than normal temperature value, determines battery mould
Group damage.The present invention can be obtained the temperature value of the welding region of battery modules during discharge by thermal image detection and be become
Change, to accurately judge whether the welding quality of welding region is qualified, so that detection accuracy is higher, testing result is more acurrate.
Referring to Fig. 4, a kind of step flow chart of welding quality detection method provided by the invention, the method packet are shown
Include following steps:
Step 110, DC load and battery modules are attached.
It referring to Figure 1 and Figure 3, in this step, is mainly needle to the detection of the welding quality of battery modules 40 in the present invention
Multiple welding regions 402 that one battery modules 40 includes are carried out, by being connect by DC load 20 with battery modules 40,
And discharge treatment is done to battery modules 40 according to preset period of time and default discharge-rate, so that welding section in battery modules 40
The temperature in domain 402 changes.
Step 120, the DC load puts the battery modules according to preset period of time and default discharge-rate
Electric treatment.
Referring to Figure 1 and Figure 3, in this step, battery modules 40 are commonly used in providing electric energy to electric car, so battery
Mould group 40 is in discharge condition in actual use, is attached and discharges with battery modules 40 by DC load 20
Processing, can be with the real use state of simulated battery mould group 40, too fast, the temperature if welding region 402 heats up during discharge
When excessively high, i.e. there are hidden danger of quality for the solder joint, in addition, obtained according to experiment, when the preset period of time of discharge treatment is 10 seconds,
When default discharge-rate is 8C, the detection accuracy and effect are best.
Step 130, detect the temperature value of each area to be tested in the battery modules by thermal imaging system, generate for
The temperature data of detection zone.
In embodiments of the present invention, the coverage for being set to the thermal imaging system 30 of 40 top of battery modules can cover entirely
Battery modules 40, thermal imaging system 30 are the infrared energies point for receiving measured target using infrared detector and optical imaging objective
The reflection of cloth figure is on the light-sensitive element of infrared detector, to obtain Infrared Thermogram, this thermography and body surface
Heat distribution field is corresponding.Therefore, thermal imaging system 30 can detecte in battery modules 40 each welding region 402 in discharge treatment mistake
The variation of temperature value in journey obtains the temperature data of each welding region 402 after discharge treatment.
Step 140, the temperature data is sent to data processing equipment.
Step 150, when the maximum temperature values in the temperature data are greater than normal temperature value, the data processing equipment
Determine the battery modules damage.
In this step, data processing equipment can receive the temperature data of the transmission of thermal imaging system 30, and carry out to the data
Analysis processing, obtains temperature change table, and data processing equipment can judge that the temperature value of which welding region 402 is greater than standard
Temperature value, so that it is determined that the unqualified welding region 402 of welding quality out, wherein normal temperature value is the battery of requisite quality
Value in the temperature change table of mould group during discharge, can be used as contrasting foundation, lead in battery modules laser welding technology
In domain, when soldered solder joint heat up during discharge it is too fast, when the temperature is excessively high, the solder joint i.e. there are hidden danger of quality.
In conclusion a kind of welding quality detection method provided in an embodiment of the present invention, comprising: by DC load and battery
Mould group is attached；DC load does discharge treatment to battery modules according to preset period of time and default discharge-rate；Pass through
Thermal imaging system detects the temperature value of each area to be tested in battery modules, generates the temperature data for being directed to area to be tested；It will be warm
Degree evidence is sent to data processing equipment；When the maximum temperature values in temperature data are greater than normal temperature value, data processing dress
Set determining battery modules damage.The present invention can obtain the welding region of battery modules by thermal image detection during discharge
Temperature value variation, to accurately judge whether the welding quality of welding region qualified so that detection accuracy is higher, testing result
It is more acurrate.
Referring to Fig. 5, a kind of specific steps flow chart of welding quality detection method provided by the invention, the side are shown
Method the following steps are included:
Step 210, barcode scanning operation is carried out to the battery modules by barcode scanning device, obtains the feature of the battery modules
Information.
Step 220, the characteristic information is sent to the data processing equipment by the barcode scanning device.
It in embodiments of the present invention, all can be each battery modules 40 distribution one in the production process of battery modules 40
A bar code, bar code are attached to 40 surface of battery modules, and bar code includes the characteristic information of each battery modules 40, feature letter
Breath includes: the parameters such as coding, model, the specification of battery modules 40, and the bar code of each battery modules 40 is different, and barcode scanning device can
To obtain the characteristic information of battery modules 40 and be sent to data processing equipment by scanning bar code, data processing equipment root
According to the characteristic information and temperature data of battery modules 40, bar code and testing result are bound, so that staff identifies.
It should be noted that barcode scanning device can become one with thermal imaging system 30, barcode scanning device can also be independently arranged
On detection microscope carrier 10, this is not limited by the present invention.
Step 230, positive discharge folder and negative discharge folder that the DC load includes are respectively connected to the battery
The anode and cathode of mould group.
The step is referred to above-mentioned steps 110, and details are not described herein again.
Step 240, judge whether the polarity of the battery modules is correct by the DC load.
In this step, DC load can be by releasing of short duration test electric current, to determine that the polarity of battery modules is
No correct, which can be used as the safety inspection process of welding quality detection method, prevent because of staff because carelessness will be electric
The positive and negative anodes wrong of Chi Mo group, avoids damaging battery modules.
Step 250, if the polarity of the battery modules is incorrect, the DC load issues warning information.
In embodiments of the present invention, alarm lamp can be set on detection microscope carrier 10, and by DC load 20 and reported
Alert indicator light connection, when the polarity for determining battery modules is incorrect, electricity alarm lamp is alerted.Can also equally it pacify
Buzzer is filled, sound alarm is provided.
Step 260, if the polarity of the battery modules is correct, 270 are thened follow the steps.
Step 270, detect the temperature value of each area to be tested in the battery modules by thermal imaging system, generate for
The temperature data of detection zone.
The step is referred to above-mentioned steps 130, and details are not described herein again.
Step 280, the temperature data is sent to data processing equipment.
It optionally, can be comprising steps of the data processing equipment be directed to according to what is received after step 280
The characteristic information and temperature data of the battery modules tie up the characteristic information and temperature data with corresponding battery modules
It is fixed.
Specifically, characteristic information and temperature data of the data processing equipment according to battery modules 40, by bar code and detection
As a result it binds, so that staff identifies.
Step 290, when the maximum temperature values in the temperature data are greater than normal temperature value, the data processing equipment
Determine the battery modules damage.
The step is referred to above-mentioned steps 150, and details are not described herein again.
In conclusion a kind of welding quality detection method provided in an embodiment of the present invention, comprising: by DC load and battery
Mould group is attached；DC load does discharge treatment to battery modules according to preset period of time and default discharge-rate；Pass through
Thermal imaging system detects the temperature value of each area to be tested in battery modules, generates the temperature data for being directed to area to be tested；It will be warm
Degree evidence is sent to data processing equipment；When the maximum temperature values in temperature data are greater than normal temperature value, data processing dress
Set determining battery modules damage.The present invention can obtain the welding region of battery modules by thermal image detection during discharge
Temperature value variation, to accurately judge whether the welding quality of welding region qualified so that detection accuracy is higher, testing result
It is more acurrate.
It is apparent to those skilled in the art that for convenience and simplicity of description, the system of foregoing description,
The specific work process of device and unit, can refer to corresponding processes in the foregoing method embodiment, and details are not described herein.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all in essence of the invention
Made any modifications, equivalent replacements, and improvements etc., should all be included in the protection scope of the present invention within mind and principle.
The above description is merely a specific embodiment, but scope of protection of the present invention is not limited thereto, any
Those familiar with the art in the technical scope disclosed by the present invention, can easily think of the change or the replacement, and should all contain
Lid is within protection scope of the present invention.Therefore, protection scope of the present invention should be subject to the protection scope in claims.
Claims (10)
1. a kind of weld quality prediction system, which is characterized in that the weld quality prediction system includes:
Detect microscope carrier, DC load, thermal imaging system and data processing equipment；
The detection microscope carrier carries battery modules, and the battery modules are connect with the DC load；
The DC load is used for after the DC load is connect with the battery modules, according to preset period of time and is preset
Discharge-rate does discharge treatment to the battery modules；
The thermal imaging system is set on the detection microscope carrier, and the shooting direction of the thermal imaging system is towards the battery modules；Institute
Thermal imaging system is stated for detecting the temperature of each area to be tested in the battery modules when the battery modules do discharge treatment
Value generates the temperature data for being directed to area to be tested；
The data processing equipment is connect with the thermal imaging system, the temperature data sent for receiving the thermal imaging system, when described
When maximum temperature values in temperature data are greater than normal temperature value, the battery modules damage is determined.
2. weld quality prediction system according to claim 1, which is characterized in that
The DC load includes: load main body, positive discharge folder and negative discharge folder；
One end of positive discharge folder and one end of the negative discharge folder anode and cathode with the load main body respectively
Connection；
The other end of the positive discharge folder is connect with the anode of the battery modules, the other end of the negative discharge folder and institute
State the cathode connection of battery modules；
The load main body is used to press from both sides the anode with the battery modules respectively in positive discharge folder and the negative discharge
After connecting with cathode, discharge treatment is done to the battery modules according to preset period of time and default discharge-rate.
3. weld quality prediction system according to claim 1, which is characterized in that the weld quality prediction system also wraps
It includes:
Barcode scanning device；
The barcode scanning device is set on the detection microscope carrier, and the shooting direction of the barcode scanning device is towards the battery mould
Group；
The barcode scanning device is used for before the DC load does discharge treatment to the battery modules, to the battery modules
Barcode scanning operation is carried out, obtains the characteristic information of the battery modules, and the characteristic information is sent to the data processing and is filled
It sets.
4. weld quality prediction system according to claim 1, which is characterized in that the weld quality prediction system also wraps
It includes:
Online transiting vehicle and offline transiting vehicle；
The online transiting vehicle is connect with the entrance of the detection microscope carrier, the outlet of the offline transiting vehicle and the detection microscope carrier
Connection；
The online transiting vehicle includes: the first microscope carrier, multiple first directive wheels and multiple first rollers；
First directive wheel is connect with first microscope carrier, and first roller is set on first microscope carrier；
The offline transiting vehicle includes: the second microscope carrier, multiple second directive wheels and multiple second tin rollers；
Second directive wheel is connect with second microscope carrier, and the second tin roller is set on second microscope carrier.
5. weld quality prediction system according to claim 1, which is characterized in that
The preset period of time is 10 seconds；
The default discharge-rate is 8.
6. a kind of welding quality detection method, which is characterized in that the method is applied to weld quality prediction system, the welding
Quality detecting system includes system as claimed in claim 1 to 5, and the welding quality detection method includes:
DC load and battery modules are attached；
The DC load does discharge treatment to the battery modules according to preset period of time and default discharge-rate；
The temperature value of each area to be tested in the battery modules is detected by thermal imaging system, generates the temperature for being directed to area to be tested
Degree evidence；
The temperature data is sent to data processing equipment；
When the maximum temperature values in the temperature data are greater than normal temperature value, the data processing equipment determines the battery
The damage of mould group.
7. welding quality detection method according to claim 6, which is characterized in that described by DC load and battery modules
The step of being attached, comprising:
By positive discharge that the DC load includes folder and negative discharge folder be respectively connected to the battery modules anode and
Cathode.
8. welding quality detection method according to claim 6, which is characterized in that the DC load according to it is default when
Between before period and default discharge-rate the step of doing discharge treatment to the battery modules, further includes:
Judge whether the polarity of the battery modules is correct by the DC load；
If the polarity of the battery modules is correct, the DC load is executed according to preset period of time and default discharge-rate
The step of discharge treatment is done to the battery modules；
If the polarity of the battery modules is incorrect, the DC load issues warning information.
9. welding quality detection method according to claim 6, which is characterized in that by DC load and battery modules into
Before the step of row connection, further includes:
Barcode scanning operation is carried out to the battery modules by barcode scanning device, obtains the characteristic information of the battery modules；
The characteristic information is sent to the data processing equipment by the barcode scanning device.
10. welding quality detection method according to claim 9, which is characterized in that be sent to by the temperature data
After the step of data processing equipment, further includes:
The data processing equipment is according to the characteristic information and temperature data for the battery modules received, by the spy
Reference breath and temperature data are bound with corresponding battery modules.
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| CN201711241816.3A CN109540967A (en) | 2017-11-30 | 2017-11-30 | Weld quality prediction system and method |
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| CN201711241816.3A CN109540967A (en) | 2017-11-30 | 2017-11-30 | Weld quality prediction system and method |
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