CN106067491B - The optimization method and system of photovoltaic module power - Google Patents
The optimization method and system of photovoltaic module power Download PDFInfo
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- CN106067491B CN106067491B CN201610452492.7A CN201610452492A CN106067491B CN 106067491 B CN106067491 B CN 106067491B CN 201610452492 A CN201610452492 A CN 201610452492A CN 106067491 B CN106067491 B CN 106067491B
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- 238000000034 method Methods 0.000 title claims abstract description 89
- 238000005457 optimization Methods 0.000 title claims abstract description 29
- 238000005538 encapsulation Methods 0.000 claims abstract description 69
- 230000008569 process Effects 0.000 claims abstract description 66
- 238000001514 detection method Methods 0.000 claims abstract description 35
- 238000009826 distribution Methods 0.000 claims abstract description 19
- 238000013499 data model Methods 0.000 claims description 20
- 230000004044 response Effects 0.000 claims description 11
- 238000005070 sampling Methods 0.000 claims description 8
- 241000208340 Araliaceae Species 0.000 claims description 4
- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 claims description 4
- 235000003140 Panax quinquefolius Nutrition 0.000 claims description 4
- 235000008434 ginseng Nutrition 0.000 claims description 4
- 238000003466 welding Methods 0.000 description 41
- 239000000463 material Substances 0.000 description 16
- 239000011521 glass Substances 0.000 description 14
- 238000012360 testing method Methods 0.000 description 10
- 238000002834 transmittance Methods 0.000 description 9
- 238000004132 cross linking Methods 0.000 description 8
- 238000004519 manufacturing process Methods 0.000 description 8
- 238000003860 storage Methods 0.000 description 8
- UHOVQNZJYSORNB-UHFFFAOYSA-N Benzene Chemical compound C1=CC=CC=C1 UHOVQNZJYSORNB-UHFFFAOYSA-N 0.000 description 6
- 230000008859 change Effects 0.000 description 6
- 238000004806 packaging method and process Methods 0.000 description 6
- 230000003595 spectral effect Effects 0.000 description 5
- 238000002474 experimental method Methods 0.000 description 4
- 238000007689 inspection Methods 0.000 description 4
- 238000005259 measurement Methods 0.000 description 4
- 238000002310 reflectometry Methods 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 3
- 206010061245 Internal injury Diseases 0.000 description 2
- 238000012937 correction Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000013467 fragmentation Methods 0.000 description 2
- 238000006062 fragmentation reaction Methods 0.000 description 2
- QSHDDOUJBYECFT-UHFFFAOYSA-N mercury Chemical compound [Hg] QSHDDOUJBYECFT-UHFFFAOYSA-N 0.000 description 2
- 229910052753 mercury Inorganic materials 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
- 239000000047 product Substances 0.000 description 2
- 239000002994 raw material Substances 0.000 description 2
- 239000011265 semifinished product Substances 0.000 description 2
- 238000010998 test method Methods 0.000 description 2
- 230000008901 benefit Effects 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 238000007429 general method Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000012536 packaging technology Methods 0.000 description 1
Classifications
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- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01L—SEMICONDUCTOR DEVICES NOT COVERED BY CLASS H10
- H01L31/00—Semiconductor devices sensitive to infrared radiation, light, electromagnetic radiation of shorter wavelength or corpuscular radiation and specially adapted either for the conversion of the energy of such radiation into electrical energy or for the control of electrical energy by such radiation; Processes or apparatus specially adapted for the manufacture or treatment thereof or of parts thereof; Details thereof
- H01L31/04—Semiconductor devices sensitive to infrared radiation, light, electromagnetic radiation of shorter wavelength or corpuscular radiation and specially adapted either for the conversion of the energy of such radiation into electrical energy or for the control of electrical energy by such radiation; Processes or apparatus specially adapted for the manufacture or treatment thereof or of parts thereof; Details thereof adapted as photovoltaic [PV] conversion devices
- H01L31/042—PV modules or arrays of single PV cells
- H01L31/048—Encapsulation of modules
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/50—Photovoltaic [PV] energy
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P70/00—Climate change mitigation technologies in the production process for final industrial or consumer products
- Y02P70/50—Manufacturing or production processes characterised by the final manufactured product
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- Physics & Mathematics (AREA)
- Condensed Matter Physics & Semiconductors (AREA)
- Electromagnetism (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Computer Hardware Design (AREA)
- Microelectronics & Electronic Packaging (AREA)
- Power Engineering (AREA)
- Photovoltaic Devices (AREA)
Abstract
The present invention relates to a kind of optimization method of photovoltaic module power and system, methods described includes：Obtain successively in the photovoltaic component needed for the encapsulation process of the photovoltaic module；Obtain the parameters of operating part of the photovoltaic component；Detection corresponding component parameter in the encapsulation process of the photovoltaic module；According to the corresponding photovoltaic component of component parameter distribution.The present invention can effectively lift the CTM for adding photovoltaic module, improve the generated output of photovoltaic module.
Description
Technical field
The present invention relates to photovoltaic art, the optimization method and system of more particularly to a kind of photovoltaic module power.
Background technology
The core of the packaging technology of photovoltaic module is increase CTM (cell to module loss, unit module loss),
CTM values are equal to the ratio of cell piece power summation used in the power and a component of component, and CTM is bigger to represent encapsulation loss more
It is small.The target of encapsulation is to reduce optical loss and electricity loss, increases CTM.
Conventional technical means is mainly the cooperation for optimizing storeroom in encapsulation.For example, the refractive index between encapsulating material
Match somebody with somebody, spectral transmittance is matched with cell piece QE responses, cell piece electric current gear is matched, battery strings electric current gear is matched, cell piece
(hidden rhegma mistake) and the ohmic loss of circuit connection material etc. are matched with welding thickness.
General general method is the cooperation of artificial optimization storeroom in encapsulation process, but the artificial operation optimization time
Long, operation difficulty is big, and accuracy is not high, causes the increased amplitudes of CTM after optimization smaller.
The content of the invention
Based on this, it is necessary to provide the optimization method and system of a kind of photovoltaic module power, increase in encapsulation process
CTM, improves the generated output of photovoltaic module.
A kind of optimization method of photovoltaic module power, including：
Obtain successively in the photovoltaic component needed for the encapsulation process of the photovoltaic module；
Obtain the parameters of operating part of the photovoltaic component；
Detection corresponding component parameter in the encapsulation process of the photovoltaic module；
According to the corresponding photovoltaic component of component parameter distribution.
In one of the embodiments, the optimization method also includes：
Corresponding photovoltaic component is arranged successively in advance according to the encapsulation process of photovoltaic module.
In one of the embodiments, the parameters of operating part for obtaining the photovoltaic component includes：
By the parameters of operating part for reading photovoltaic component described in Quick Response Code；Or
The parameters of operating part is downloaded from the database for the parameters of operating part that is stored with.
In one of the embodiments, detection corresponding component parameter bag in the encapsulation process of the photovoltaic module
Include：
The photovoltaic module is flowed into the component parameter detection means inspection being incorporated in advance during the photovoltaic component encapsulating
Survey the component parameter of the photovoltaic module；Or
The photovoltaic module is flowed into the group that the streamline with default sampling observation frequency and circuit detects the photovoltaic module
Part parameter.
In one of the embodiments, it is described to be included according to the corresponding photovoltaic component of component parameter distribution：
The matching data model corresponding with the component parameter；
Optimal photovoltaic component is obtained by the data model to combine；
The photovoltaic component is distributed according to photovoltaic component combination to be packaged.
The optimization method of photovoltaic module power described above obtains photovoltaic component and corresponding part successively in encapsulation process
Parameter, detects the component parameter of corresponding package assembling in encapsulation process, and distributes photovoltaic component according to component parameter, so that
The power of the photovoltaic module after final encapsulation is set to reach optimum efficiency, effectively lifting adds the CTM of photovoltaic module, improves
The generated output of photovoltaic module.
A kind of optimization system of photovoltaic module power, including：
Component retrieval module, for obtaining successively in the photovoltaic component needed for the encapsulation process of the photovoltaic module；
Parameter acquisition module, the parameters of operating part for obtaining the photovoltaic component；
Parameter detection module, for detecting the corresponding component parameter in the encapsulation process of the photovoltaic module；
Distribute module, for distributing the corresponding photovoltaic component according to the component parameter.
In one of the embodiments, in addition to：
Preset module, corresponding photovoltaic component is arranged for the encapsulation process according to photovoltaic module successively in advance.
In one of the embodiments, the parameter acquisition module is joined by reading the part of photovoltaic component described in Quick Response Code
Number, or download the parameters of operating part from the database for the parameters of operating part that is stored with.
In one of the embodiments, parameter detection module detection correspondence in the encapsulation process of the photovoltaic module
Component parameter include：
The photovoltaic module is flowed into the component parameter detection means inspection being incorporated in advance during the photovoltaic component encapsulating
Survey the component parameter of the photovoltaic module；Or
The photovoltaic module is flowed into the group that the streamline with default sampling observation frequency and circuit detects the photovoltaic module
Part parameter.
In one of the embodiments, the distribute module includes：
Model Matching unit, for matching the data model corresponding with the component parameter；
Acquiring unit is combined, is combined for obtaining optimal photovoltaic component by the data model；
Allocation unit, is packaged for distributing the photovoltaic component according to photovoltaic component combination.
The optimization system of photovoltaic module power described above obtains photovoltaic component and corresponding part successively in encapsulation process
Parameter, detects the component parameter of corresponding package assembling in encapsulation process, and distributes photovoltaic component according to component parameter, so that
The power of the photovoltaic module after final encapsulation is set to reach optimum efficiency, effectively lifting adds the CTM of photovoltaic module, improves
The generated output of photovoltaic module.
Brief description of the drawings
Fig. 1 is the schematic flow sheet of the optimization method of an embodiment photovoltaic module power；
The schematic flow sheet that Fig. 2 is step S180 in Fig. 1；
Fig. 3 is the structural representation of the optimization system of an embodiment photovoltaic module power；
Fig. 4 is the structural representation of distribute module 180 in Fig. 3.
Embodiment
In order to make the purpose , technical scheme and advantage of the present invention be clearer, it is right below in conjunction with drawings and Examples
The present invention is further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, and
It is not used in the restriction present invention.
As shown in figure 1, the optimization method of the photovoltaic module power of an embodiment includes step S120 to step S180.
Step S120, obtains the photovoltaic component needed for the encapsulation process in photovoltaic module successively；
Step S140, obtains the parameters of operating part of photovoltaic component；
Step S160, detection corresponding component parameter in the encapsulation process of photovoltaic module；
Step S180, corresponding photovoltaic component is distributed according to component parameter.
The optimization method of photovoltaic module power described above obtains photovoltaic component and corresponding part successively in encapsulation process
Parameter, detects the component parameter of corresponding package assembling in encapsulation process, and distributes photovoltaic component according to component parameter, so that
The power of the photovoltaic module after final encapsulation is set to reach optimum efficiency, effectively lifting adds the CTM of photovoltaic module, improves
The generated output of photovoltaic module.
In the whole encapsulation process of photovoltaic module, in order to realize the encapsulation process of automation, it is necessary to by encapsulation process
The photovoltaic component needed is presetted, such as in advance according to used in encapsulation process to be subsequently placed at conveyer belt first-class.Therefore,
, it is necessary to arrange corresponding photovoltaic component successively in advance according to the encapsulation process of photovoltaic module between step S120 is performed.
The present embodiment is when realizing, in encapsulation process, and the photovoltaic component for acquisition is, it is necessary to obtain the ginseng of itself
Number.Typically for the section components in photovoltaic module, such as cell piece, supplier has the ability to carry out full inspection for these materials,
Comprehensive parameter can be provided.Therefore, usual supplier is in class wrapping, can successively will be such as cell piece according to placement order
Deng the Data Enter Quick Response Code of material, and it is printed upon in packaging.And when these raw material are put in storage, same batch of these 2 D code informations
Secondary number, storage location, the relation of quantity can together input database.And for the larger material of information content, such as glass it is complete
Spectral transmittance curve etc., the full spectral transmittance curve of a usual glass drawing can not be logged on a Quick Response Code, this implementation
Example can press support number when realizing, by supplier and go these Data Enters in the databases such as end, when its supplied materials is put in storage, then
Its information can be downloaded to by database by high in the clouds according to identification codes such as supports number.
Therefore, can be by reading Quick Response Code photovoltaic when obtaining the parameters of operating part of photovoltaic component by the step S140
The parameters of operating part of part；Or download parameters of operating part from the database for the parameters of operating part that is stored with.It is appreciated that the present embodiment
The acquisition modes of components described above parameter are only the preferred implementations that the present embodiment is taken according to actual package process,
For other optional implementations, the present embodiment no longer example is stated.
In the encapsulation process of photovoltaic module, in addition it is also necessary to the one of the photovoltaic module of corresponding semi-finished product is detected in encapsulation process
A little component parameters, when only these component parameters meet optimal conditions, can just enter the encapsulation process of next step, lift photovoltaic
The CTM of component.For example, it is necessary to light transmittance (or reflectivity), the resistivity of photovoltaic module, the EVA of glass in encapsulation process
Degree of cross linking etc. is detected.Therefore, the present embodiment is when realizing, can be by corresponding detection device, such as light transmittance (reflectivity)
Test equipment, Resistivity testing equipment, EVA degrees of cross linking detection device (heat monitoring) etc. are directly incorporated into production line, or realize experiment
Room equipment is shared with production line, and the control system read test data of final access device.It is used as the another of the present embodiment
Preferred embodiment, can also be realized by way of increasing streamline, while setting the sampling observation frequency and circuit of streamline, will be surveyed
The photovoltaic module of examination flows into laboratory, and production line is again returned to after the completion of test.For example, offline EVA degrees of cross linking test (diformazan
Benzene), degree of cross linking sample making plan is set, the sample being made is flowed into laboratory, input system.
Therefore, detecting the corresponding component parameter in the encapsulation process of photovoltaic module by the step S160 of the present embodiment
When, photovoltaic module can be flowed into the component parameter detection means detection photovoltaic module being incorporated in advance during photovoltaic component encapsulating
Component parameter；Or photovoltaic module is flowed into the component that the streamline with default sampling observation frequency and circuit detects photovoltaic module
Parameter.
In the present embodiment, for some component parameters, detection components parameter can also be improved to existing equipment.Example
Such as, can be directly by welding thickness and width for needing the welding thickness and width of detection in the encapsulation process of photovoltaic module
The measurement apparatus of degree is directly incorporated into series welding machine, and by electric-resistivity method structure (when mercury pressure is with welding thickness change, according to
Resistance variations draw welding thickness) or capacitance method structure (float electrode of electric capacity changes with welding thickness change, can survey
Amount welding thickness) measure.Measure parameters obtained can the control system of typing in real time, compared to traditional test methods acquisition from
Dissipate type data, the data of the present embodiment measurement are more accurate, can also monitor after series welding cell piece arch deformation quantity (cell piece
Arch deformation quantity is determined by cell piece, welding and welding condition), prevent cell piece to be laminated by the size of deformation quantity
Process is hidden to split fragmentation.
For the component parameter obtained by step S160, specific light can be distributed according to component parameter by step S180
Lie prostrate part and carry out execute encapsulation process, optimize encapsulation process, reduce encapsulation loss.As shown in Fig. 2 step S180 includes step
S181 to step S183.
Step S181, matches the data model corresponding with component parameter；
Step S182, obtains optimal photovoltaic component by data model and combines；
Step S183, is packaged according to photovoltaic component combination distribution photovoltaic component.
In the present embodiment, data model include encapsulating material index matching data model (can with reasonable distribution glass,
EVA, cell piece combination), QE effect curves model after battery sheet packaging (can with reasonable distribution glass, EVA, cell piece group
Close), welding thickness and width and all kinds of cell pieces (cell piece producer, technology type) welding are hidden splits work(failure model (i.e. cell piece
Welding internal injury is simulated, can be with the combination of reasonable distribution welding, cell piece), cell piece arch deformation quantity and cell piece, welding
And the correlation model of welding condition (can be with reasonable distribution welding, cell piece combination with selecting reasonable welding procedure to join
Number), each component product type power by interior resistance variations model (can with reasonable distribution glass, EVA, cell piece, welding group
Close), battery sheet packaging component power gear hit rate model (can order with reasonable distribution glass, EVA, cell piece, welding and business
Single combination), correction model (actual output can be fed back to control system, amendment component production material formula) etc. it is different
Data model.In the present embodiment, by data above model, can further combined with statistics science contrived experiment scheme, it is excellent
Change model.With reference to data above model, storage information is provided by ERP system, it is clear according to data model computation module order material
It is single, then dispensing is performed by automatic batching system, whole process is monitored by MES system, and according to output amendment proportion scheme.
As shown in figure 3, the optimization system of an embodiment photovoltaic module power includes component retrieval module 120, parameter acquiring
Module 140, parameter detection module 160 and distribute module 180.
Component retrieval module 120, for obtaining the photovoltaic component needed for the encapsulation process in photovoltaic module successively；
Parameter acquisition module 140, the parameters of operating part for obtaining photovoltaic component；
Parameter detection module 160, for detecting the corresponding component parameter in the encapsulation process of photovoltaic module；
Distribute module 180, for distributing corresponding photovoltaic component according to component parameter.
The optimization system of photovoltaic module power described above obtains photovoltaic component and corresponding part successively in encapsulation process
Parameter, detects the component parameter of corresponding package assembling in encapsulation process, and distributes photovoltaic component according to component parameter, so that
The power of the photovoltaic module after final encapsulation is set to reach optimum efficiency, effectively lifting adds the CTM of photovoltaic module, improves
The generated output of photovoltaic module.
In the whole encapsulation process of photovoltaic module, in order to realize the encapsulation process of automation, it is necessary to by encapsulation process
The photovoltaic component needed is presetted, such as in advance according to used in encapsulation process to be subsequently placed at conveyer belt first-class.Therefore,
The optimization system of the present embodiment also includes preset module, and correspondence is arranged successively in advance for the encapsulation process according to photovoltaic module
Photovoltaic component.
The present embodiment is when realizing, in encapsulation process, and the photovoltaic component for acquisition is, it is necessary to obtain the ginseng of itself
Number.Typically for the section components in photovoltaic module, such as cell piece, supplier has the ability to carry out full inspection for these materials,
Comprehensive parameter can be provided.Therefore, usual supplier is in class wrapping, can successively will be such as cell piece according to placement order
Deng the Data Enter Quick Response Code of material, and it is printed upon in packaging.And when these raw material are put in storage, same batch of these 2 D code informations
Secondary number, storage location, the relation of quantity can together input database.And for the larger material of information content, such as glass it is complete
Spectral transmittance curve etc., the full spectral transmittance curve of a usual glass drawing can not be logged on a Quick Response Code, this implementation
Example can press support number when realizing, by supplier and go these Data Enters in the databases such as end, when its supplied materials is put in storage, then
Its information can be downloaded to by database by high in the clouds according to identification codes such as supports number.
Therefore, can be by reading Quick Response Code light when obtaining the parameters of operating part of photovoltaic component by parameter acquisition module 140
Lie prostrate the parameters of operating part of part；Or download parameters of operating part from the database for the parameters of operating part that is stored with.It is appreciated that this implementation
The acquisition modes of example components described above parameter are only the preferred implementation sides that the present embodiment is taken according to actual package process
Formula, for other optional implementations, the present embodiment no longer example is stated.
In the encapsulation process of photovoltaic module, in addition it is also necessary to the one of the photovoltaic module of corresponding semi-finished product is detected in encapsulation process
A little component parameters, when only these component parameters meet optimal conditions, can just enter the encapsulation process of next step, lift photovoltaic
The CTM of component.For example, it is necessary to light transmittance (or reflectivity), the resistivity of photovoltaic module, the EVA of glass in encapsulation process
Degree of cross linking etc. is detected.Therefore, the present embodiment is when realizing, can be by corresponding detection device, such as light transmittance (reflectivity)
Test equipment, Resistivity testing equipment, EVA degrees of cross linking detection device (heat monitoring) etc. are directly incorporated into production line, or realize experiment
Room equipment is shared with production line, and the control system read test data of final access device.It is used as the another of the present embodiment
Preferred embodiment, can also be realized by way of increasing streamline, while setting the sampling observation frequency and circuit of streamline, will be surveyed
The photovoltaic module of examination flows into laboratory, and production line is again returned to after the completion of test.For example, offline EVA degrees of cross linking test (diformazan
Benzene), degree of cross linking sample making plan is set, the sample being made is flowed into laboratory, input system.
Therefore, detecting in the encapsulation process of photovoltaic module corresponding group by the parameter detection module 160 of the present embodiment
During part parameter, photovoltaic module can be flowed into the component parameter detection means detection light being incorporated in advance during photovoltaic component encapsulating
Lie prostrate the component parameter of component；Or photovoltaic module is flowed into the streamline detection photovoltaic module with default sampling observation frequency and circuit
Component parameter.
In the present embodiment, for some component parameters, detection components parameter can also be improved to existing equipment.Example
Such as, can be directly by welding thickness and width for needing the welding thickness and width of detection in the encapsulation process of photovoltaic module
The measurement apparatus of degree is directly incorporated into series welding machine, and by electric-resistivity method structure (when mercury pressure is with welding thickness change, according to
Resistance variations draw welding thickness) or capacitance method structure (float electrode of electric capacity changes with welding thickness change, can survey
Amount welding thickness) measure.Measure parameters obtained can the control system of typing in real time, compared to traditional test methods acquisition from
Dissipate type data, the data of the present embodiment measurement are more accurate, can also monitor after series welding cell piece arch deformation quantity (cell piece
Arch deformation quantity is determined by cell piece, welding and welding condition), prevent cell piece to be laminated by the size of deformation quantity
Process is hidden to split fragmentation.
, can be according to component parameter point by distribute module 180 for the component parameter obtained by parameter detection module 160
Execute encapsulation process is carried out with specific photovoltaic component, optimizes encapsulation process, encapsulation loss is reduced.As shown in figure 4, distribute module
180 include Model Matching unit 181, combination acquiring unit 182 and allocation unit 183.
Model Matching unit 181, for matching the data model corresponding with component parameter；
Acquiring unit 182 is combined, is combined for obtaining optimal photovoltaic component by data model；
Allocation unit 183, for being packaged according to photovoltaic component combination distribution photovoltaic component.
In the present embodiment, data model include encapsulating material index matching data model (can with reasonable distribution glass,
EVA, cell piece combination), QE effect curves model after battery sheet packaging (can with reasonable distribution glass, EVA, cell piece group
Close), welding thickness and width and all kinds of cell pieces (cell piece producer, technology type) welding are hidden splits work(failure model (i.e. cell piece
Welding internal injury is simulated, can be with the combination of reasonable distribution welding, cell piece), cell piece arch deformation quantity and cell piece, welding
And the correlation model of welding condition (can be with reasonable distribution welding, cell piece combination with selecting reasonable welding procedure to join
Number), each component product type power by interior resistance variations model (can with reasonable distribution glass, EVA, cell piece, welding group
Close), battery sheet packaging component power gear hit rate model (can order with reasonable distribution glass, EVA, cell piece, welding and business
Single combination), correction model (actual output can be fed back to control system, amendment component production material formula) etc. it is different
Data model.In the present embodiment, by data above model, can further combined with statistics science contrived experiment scheme, it is excellent
Change model.With reference to data above model, storage information is provided by ERP system, it is clear according to data model computation module order material
It is single, then dispensing is performed by automatic batching system, whole process is monitored by MES system, and according to output amendment proportion scheme.
Each technical characteristic of embodiment described above can be combined arbitrarily, to make description succinct, not to above-mentioned reality
Apply all possible combination of each technical characteristic in example to be all described, as long as however, the combination of these technical characteristics is not deposited
In contradiction, the scope of this specification record is all considered to be.
Embodiment described above only expresses the several embodiments of the present invention, and it describes more specific and detailed, but simultaneously
Can not therefore it be construed as limiting the scope of the patent.It should be pointed out that coming for one of ordinary skill in the art
Say, without departing from the inventive concept of the premise, various modifications and improvements can be made, these belong to the protection of the present invention
Scope.Therefore, the protection domain of patent of the present invention should be determined by the appended claims.
Claims (8)
1. a kind of optimization method of photovoltaic module power, it is characterised in that including：
Obtain successively in the photovoltaic component needed for the encapsulation process of the photovoltaic module；
Obtain the parameters of operating part of the photovoltaic component；
Detection corresponding component parameter in the encapsulation process of the photovoltaic module；
According to the corresponding photovoltaic component of component parameter distribution；
It is described to be included according to the corresponding photovoltaic component of component parameter distribution：
The matching data model corresponding with the component parameter；
Optimal photovoltaic component is obtained by the data model to combine；
The photovoltaic component is distributed according to photovoltaic component combination to be packaged.
2. optimization method according to claim 1, it is characterised in that the optimization method also includes：
Corresponding photovoltaic component is arranged successively in advance according to the encapsulation process of photovoltaic module.
3. optimization method according to claim 1, it is characterised in that the parameters of operating part bag of the acquisition photovoltaic component
Include：
By the parameters of operating part for reading photovoltaic component described in Quick Response Code；Or
The parameters of operating part is downloaded from the database for the parameters of operating part that is stored with.
4. optimization method according to claim 1, it is characterised in that encapsulation process of the detection in the photovoltaic module
In corresponding component parameter include：
The photovoltaic module is flowed into the component parameter detection means detection institute being incorporated in advance during the photovoltaic component encapsulating
State the component parameter of photovoltaic module；Or
The photovoltaic module is flowed into the component ginseng that the streamline with default sampling observation frequency and circuit detects the photovoltaic module
Number.
5. a kind of optimization system of photovoltaic module power, it is characterised in that including：
Component retrieval module, for obtaining successively in the photovoltaic component needed for the encapsulation process of the photovoltaic module；
Parameter acquisition module, the parameters of operating part for obtaining the photovoltaic component；
Parameter detection module, for detecting the corresponding component parameter in the encapsulation process of the photovoltaic module；
Distribute module, for distributing the corresponding photovoltaic component according to the component parameter；
The distribute module includes：
Model Matching unit, for matching the data model corresponding with the component parameter；
Acquiring unit is combined, is combined for obtaining optimal photovoltaic component by the data model；
Allocation unit, is packaged for distributing the photovoltaic component according to photovoltaic component combination.
6. optimization system according to claim 5, it is characterised in that also include：
Preset module, corresponding photovoltaic component is arranged for the encapsulation process according to photovoltaic module successively in advance.
7. optimization system according to claim 5, it is characterised in that the parameter acquisition module is by reading Quick Response Code institute
The parameters of operating part of photovoltaic component is stated, or the parameters of operating part is downloaded from the database for the parameters of operating part that is stored with.
8. optimization system according to claim 5, it is characterised in that the parameter detection module detection is in the photovoltaic group
Corresponding component parameter includes in the encapsulation process of part：
The photovoltaic module is flowed into the component parameter detection means detection institute being incorporated in advance during the photovoltaic component encapsulating
State the component parameter of photovoltaic module；Or
The photovoltaic module is flowed into the component ginseng that the streamline with default sampling observation frequency and circuit detects the photovoltaic module
Number.
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