Method, device and storage medium for determining photovoltaic module formula

Abstract

The present invention provides a method for determining a photovoltaic module formula, a device for determining a photovoltaic module, and a computer-readable storage medium. The method for determining the photovoltaic module formula includes the following steps: obtaining formulas of a plurality of photovoltaic modules to respectively predict the first maximum power of the photovoltaic modules prepared from each of the formulas. The formula includes cell parameters, module layout design parameters, internal resistance parameters, optical component parameters, and external resistance parameters; respectively constructing a normal distribution model according to the first maximum power of the photovoltaic modules prepared from each of the formulas to determine the production yields of the photovoltaic modules prepared from each of the formulas at multiple power levels; and obtaining a target output power required, and combining the production yields of the photovoltaic modules prepared from each of the formulas at each of the power levels to determine a corresponding formula. The present invention can be used to selectively determine the formula of the photovoltaic module in a targeted manner to better match the power requirement of the order and improve the production efficiency according to the demand.

Description

Technical Field

[0001] The present invention relates to the technical field of solar cells, and particularly to a method for determining a photovoltaic module formula, a device for determining a photovoltaic module formula, and a computer-readable storage medium. Background Art

[0002] A photovoltaic module is an important device for converting light energy into electrical energy, and photovoltaic power generation is one of the most important clean energies at present and in the future. Generally, after a photovoltaic module is encapsulated through processes such as string soldering, lamination, and laminating, a solar simulator is used to characterize its maximum output power under STC (Standard Test Condition), and a grading program is set in a certain interval. The power generation of a photovoltaic module, the installed capacity of a power station, the selling price of a module, etc. need to be measured by the output power of the module, and the output power of the module is comprehensively affected by various factors such as battery parameters, module parameters, internal resistance parameters, optical component parameters, and external resistance parameters in its formula. Therefore, according to the formula of a photovoltaic cell, predicting the power distribution of a module and selectively choosing the battery efficiency grade in a targeted manner to make the products produced better match the order requirements is an important process technology problem in the production and manufacturing of photovoltaic modules.

[0003] In the prior art, the invention patent CN106127339A in the field of electric vehicles uses a probability model to predict the medium and long term of charging load. In terms of photovoltaic systems and power generation, the invention patent CN111711417B uses the 3ε criterion for abnormal diagnosis of power generation, the invention patent CN112380714A uses a probability distribution to establish a model for the output interval of new energy, and the invention patent CN102495858A uses the normal distribution theory and the standardization transformation method to save the time of data processing. However, the above invention contents do not involve the power prediction problem in the photovoltaic field. In addition, although the invention patent CN111666695A in the photovoltaic field constructs a loss model of a battery and extends it to a power loss model of a module, this model does not consider the influence of the formula of a photovoltaic module on power, and there is no corresponding prediction method for the corresponding output distribution ratio.

[0004] In order to overcome the above-mentioned defects existing in the prior art, there is an urgent need in the art for a method for determining a photovoltaic module formula for centralized improvement, which is used to selectively choose the formula of a photovoltaic module in a targeted manner to better match the power requirements of an order and improve the production efficiency according to demand. Summary of the Invention

[0005] A brief overview of one or more aspects is given below to provide a basic understanding of these aspects. This overview is not an exhaustive survey of all contemplated aspects and is neither intended to identify key or decisive elements of all aspects nor to define the scope of any or all aspects. Its sole purpose is to present some concepts of one or more aspects in a simplified form as a prelude to a more detailed description given later.

[0006] In order to overcome the above-mentioned defects existing in the prior art, the present invention provides a method for determining a photovoltaic cell formula, a device for determining a photovoltaic cell formula, and a computer-readable storage medium. It is possible to predict the maximum power of a photovoltaic module according to the formula of the photovoltaic module, and establish a normal distribution model to determine the yield of the photovoltaic modules prepared by each formula at multiple power levels, so as to targetedly select the formula of the photovoltaic module to better match the power demand of the order and reduce the generation of by-products.

[0007] Specifically, the method for determining the photovoltaic module formula provided in the first aspect of the present invention includes the following steps: obtaining formulas of multiple photovoltaic modules to respectively predict the first maximum power of the photovoltaic modules prepared by each of the formulas. The formula includes cell parameters, module layout design parameters, internal resistance parameters, optical component parameters, and external resistance parameters; constructing a normal distribution model respectively according to the first maximum power of the photovoltaic modules prepared by each of the formulas to determine the yield of the photovoltaic modules prepared by each of the formulas at multiple power levels; and obtaining the target output power required, and combining the yield of the photovoltaic modules prepared by each of the formulas at each of the power levels to determine the corresponding formula.

[0008] Further, in some embodiments of the present invention, the step of obtaining formulas of multiple photovoltaic modules to respectively predict the first maximum power of the photovoltaic modules prepared by each of the formulas includes: determining the design factor, internal loss power, optical loss power, and / or external loss power of the corresponding photovoltaic module according to the formula, and the pre-established module information table, module internal resistance loss table, optical gain table, and / or module external power loss table; and determining the first maximum power of the photovoltaic modules prepared by each of the formulas according to the design factor, the internal loss power, the optical loss power, and / or the external loss power.

[0009] Further, in some embodiments of the present invention, the step of determining the design factor, internal loss power, optical loss power, and / or external loss power of the corresponding photovoltaic module according to the formula, and the pre-established component information table, component internal resistance loss table, optical gain table, and / or component external power loss table includes: determining the design factor G(x,y) of the photovoltaic module according to the cell parameters, the component layout design parameters, and the component information table; and / or determining the internal loss power P1(x,r1) of the photovoltaic module according to the cell parameters, the internal resistance parameters, and the component internal resistance loss table; and / or determining the optical gain factor of the photovoltaic module according to the cell parameters, the optical component parameters, and the optical gain table, and determining the optical loss power P2(x,i) of the photovoltaic module accordingly; and / or determining the external loss power P3(x,r2) of the photovoltaic module according to the cell parameters, the external resistance parameters, and the component external power loss table.

[0010] Further, in some embodiments of the present invention, the cell parameters include at least one of cell size, open circuit voltage, short circuit current, operating voltage at the maximum power point, operating current at the maximum power point, and fill factor. And / or the component layout design parameters include at least one of the electrical parameters of the component, the cell pitch, the string pitch, and the number of cells in a single string. And / or the internal resistance parameters include the interconnection bar resistance and / or the bus bar resistance. The interconnection bar resistance and / or the bus bar resistance are determined by at least the interconnection bar diameter, the bus bar specification, and the tin layer thickness. And / or the optical component parameters include at least one of the interconnection bar light shielding ratio, the encapsulant transmittance, and the coating process type. And / or the external resistance parameters include the cable wire resistance and / or the contact resistance. The cable wire resistance and / or the contact resistance are determined by at least the cable wire diameter.

[0011] Further, in some embodiments of the present invention, the step of determining the first maximum power of the photovoltaic modules prepared by each of the formulas according to the design factor, the internal loss power, the optical loss power, and / or the external loss power includes: calculating the first maximum power P of the photovoltaic module according to the sum of the component layout design factor, the internal loss power, the optical loss power, and the external loss power. max :

[0012] P max = G(x,y) + P1(x,r1) + P2(x,i) + P3(x,r2)

[0013] Among them, G(x, y) is the design factor of the photovoltaic module. P1(x, r1) is the internal power loss of the photovoltaic module. P2(x, i) is the optical power loss of the photovoltaic module. P3(x, r2) is the external power loss of the photovoltaic module. x is the battery parameter of the photovoltaic module. y is the module layout design parameter of the photovoltaic module. r1 is the internal resistance parameter of the photovoltaic module. i is the optical gain factor of the photovoltaic module. r2 is the external resistance parameter of the photovoltaic module.

[0014] Further, in some embodiments of the present invention, the step of respectively constructing a normal distribution model based on the first maximum power of the photovoltaic modules prepared according to each of the formulas to determine the yield of the photovoltaic modules prepared according to each of the formulas at multiple power levels includes: determining the mean μ of the normal distribution model based on the first maximum power of the photovoltaic modules prepared according to each of the formulas, and determining the standard deviation σ of the normal distribution model based on the difference between the output powers of the photovoltaic modules prepared according to each of the formulas; and constructing the normal distribution model X~N(μ, σ 2 ), and calculating the yield of the photovoltaic modules prepared according to each of the formulas at multiple power levels according to the normal distribution model.

[0015] Further, in some embodiments of the present invention, the step of obtaining the target output power required and determining the corresponding formula in combination with the yield of the photovoltaic modules prepared according to each of the formulas at each of the power levels includes: selecting a preset first formula to determine the yield of the first photovoltaic module prepared thereby at multiple power levels; and adjusting the first formula according to the difference between the power level corresponding to the first maximum yield of the first photovoltaic module and the target output power to determine a second formula, and re-determining the yield of the second photovoltaic module prepared thereby at each of the power levels until the power level corresponding to the second maximum yield of the second photovoltaic module matches the target output power.

[0016] Further, in some embodiments of the present invention, the step of adjusting the formula of the photovoltaic module according to the yield of the output power of each of the photovoltaic modules at each power level and the required power includes: setting an accurate power comparison experiment to adjust any one of the battery parameter, module layout design parameter, internal resistance parameter, optical component parameter, and external resistance parameter; predicting the second maximum power of the photovoltaic module prepared according to the re-determined formula of the photovoltaic module; and directionally adjusting one of the corresponding battery parameter, module parameter, internal resistance parameter, optical component parameter, and external resistance parameter according to the difference between the first maximum power and the second maximum power.

[0017] In addition, the determination device for the photovoltaic module formulation provided according to the second aspect of the present invention includes a memory and a processor. A computer instruction is stored on the memory. The processor is connected to the memory and is configured to execute the computer instruction stored thereon to implement the method for determining the photovoltaic module formulation provided according to the first aspect of the present invention.

[0018] In addition, the above-mentioned computer-readable storage medium provided according to the third aspect of the present invention has a computer instruction stored thereon. When the computer instruction is executed by a processor, the method for determining the photovoltaic module formulation provided according to the first aspect of the present invention is implemented. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] After reading the detailed description of the embodiments of the present disclosure in conjunction with the following drawings, the above features and advantages of the present invention can be better understood. In the drawings, the components are not necessarily drawn to scale, and components with similar related characteristics or features may have the same or similar reference numerals.

[0020] Figure 1 A schematic framework diagram of the method for determining the photovoltaic module formulation provided according to some embodiments of the present invention is shown.

[0021] Figure 2 A schematic flowchart of the method for determining the photovoltaic module formulation provided according to some embodiments of the present invention is shown.

[0022] Figure 3 A schematic diagram of the principle of the method for calculating the fill factor provided according to some embodiments of the present invention is shown.

[0023] Figure 4 A bar chart showing the output distribution of the photovoltaic module under standard conditions provided according to some embodiments of the present invention is shown.

[0024] Figure 5 A schematic diagram of the probability density curve of the normal distribution model provided according to some embodiments of the present invention is shown.

[0025] Figure 6 A schematic diagram of the principle of calculating the yield at each power level provided according to some embodiments of the present invention is shown. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0026] The following specific embodiments illustrate the implementation manners of the present invention. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. Although the description of the present invention will be introduced in combination with preferred embodiments, this does not mean that the features of this invention are limited to this implementation manner. On the contrary, the purpose of introducing the invention in combination with the implementation manner is to cover other alternatives or modifications that may be extended based on the claims of the present invention. In order to provide a deep understanding of the present invention, many specific details will be included in the following description. The present invention can also be implemented without using these details. In addition, in order to avoid confusing or obscuring the key points of the present invention, some specific details will be omitted in the description.

[0027] In the description of the present invention, it should be noted that unless otherwise clearly specified and limited, the terms "install", "connect", and "couple" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be directly connected or indirectly connected through an intermediate medium, and it can be the communication inside two components. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific situations.

[0028] In addition, the "upper", "lower", "left", "right", "top", "bottom", "horizontal", and "vertical" used in the following description should be understood as the orientations shown in this paragraph and the related drawings. This relative term is only for convenience of description and does not mean that the device described needs to be manufactured or operated in a specific orientation. Therefore, it should not be construed as a limitation to the present invention.

[0029] It can be understood that although the terms "first", "second", "third", etc. can be used herein to describe various components, regions, layers, and / or parts, these components, regions, layers, and / or parts should not be limited by these terms, and these terms are only used to distinguish different components, regions, layers, and / or parts. Therefore, the first component, region, layer, and / or part discussed below can be referred to as the second component, region, layer, and / or part without departing from some embodiments of the present invention.

[0030] As described above, in the prior art, in the field of electric vehicles, the invention patent CN106127339A in the field of electric vehicles uses a probability model to predict the medium and long term of the charging load. In terms of the photovoltaic system and power generation, the invention patent CN111711417B uses the 3ε criterion for abnormal diagnosis of power generation, the invention patent CN112380714A uses a probability distribution to establish a model for the new energy output interval, and the invention patent CN102495858A uses the normal distribution theory and the standardization transformation method to save the time of data processing. However, the above invention contents do not involve the power prediction problem in the photovoltaic field. In addition, although the invention patent CN111666695A in the photovoltaic field constructs a loss model of the battery and extends it to the power loss model of the component end, this model does not consider the influence of the formula of the photovoltaic component on the power, and there is no corresponding prediction method for the corresponding output distribution ratio.

[0031] In order to overcome the above defects existing in the prior art, the present invention provides a method for determining a photovoltaic cell formula, a device for determining a photovoltaic cell formula, and a computer-readable storage medium. The maximum power of a photovoltaic module can be predicted according to the formula of the photovoltaic module, and a normal distribution model can be established to determine the yield of the photovoltaic modules prepared by each formula at multiple power levels, so as to select the formula of the photovoltaic module in a targeted manner to better match the power demand of the order and reduce the generation of by-products.

[0032] In some non-limiting embodiments, the method for determining a photovoltaic cell formula provided in the first aspect of the present invention can be implemented based on the device for determining a photovoltaic cell formula provided in the second aspect of the present invention. Specifically, the device for determining a photovoltaic cell formula is configured with a memory and a processor. The memory includes, but is not limited to, the computer-readable storage medium provided in the third aspect of the present invention, on which computer instructions are stored. The processor is connected to the memory and is configured to execute the computer instructions stored on the memory to implement the method for determining a photovoltaic cell formula provided in the first aspect of the present invention.

[0033] Hereinafter, the working principle of the device for determining a photovoltaic cell formula will be described in conjunction with some embodiments of the method for determining a photovoltaic cell formula. Those skilled in the art can understand that these embodiments of the method for determining a photovoltaic cell formula are only some non-limiting implementation manners provided by the present invention, aiming to clearly show the main concept of the present invention and provide some specific solutions convenient for the public to implement, rather than limiting all functions or all working modes of the device for determining a photovoltaic cell formula. Similarly, the device for determining a photovoltaic cell formula is also a non-limiting implementation manner provided by the present invention, and does not limit the execution subject or execution order of each step in these methods for determining a photovoltaic cell formula.

[0034] Specifically, please refer toFigure 1 , Figure 2 and Table 1 Figure 1 show a schematic framework diagram of a method for determining a photovoltaic module formulation provided according to some embodiments of the present invention. Figure 2 show a schematic flow diagram of a method for determining a photovoltaic module formulation provided according to some embodiments of the present invention. Table 1 shows a battery information table of a photovoltaic module provided according to some embodiments of the present invention.

[0035] Table 1 Battery Information Table

[0036]

[0037] As Figure 1 , Figure 2 and shown in Table 1, the processor can first obtain formulations of multiple photovoltaic modules from a pre-established battery information table to respectively predict the first maximum power of the photovoltaic modules prepared from each formulation. Here, the formulations of the above-mentioned photovoltaic modules include battery parameters, module layout design parameters, internal resistance parameters, optical component parameters, and external resistance parameters. Here, the battery parameters optionally include the cell size, the conversion efficiency Eta of the cell, and at least one of the open-circuit voltage Uoc, short-circuit current Isc, maximum power Pmax, operating voltage Umpp at the maximum power point, operating current Impp at the maximum power point, and fill factor FF tested under standard conditions of AM1.5, 25 °C, and 1000 W / m 2 .

[0038] Here, the conversion efficiency Eta of the cell can be calculated as follows to characterize the photoelectric conversion efficiency of the solar cell:

[0039]

[0040] where a is the area of the cell, in m 2 .

[0041] Please further refer to Figure 3 , Figure 3 which shows a schematic principle diagram of a method for calculating the fill factor provided according to some embodiments of the present invention.

[0042] As Figure 3 shown, the fill factor FF can be calculated as follows to characterize the photoelectric conversion quality of the solar device:

[0043]

[0044] where P max is Figure 3 the maximum power point of the photovoltaic module in

[0045] Please refer to Table 2-1, Table 2-2, and Table 2-3. Table 2-1 shows the production information of the component information table of the photovoltaic module provided according to some embodiments of the present invention. Table 2-2 shows the component product size and spacing of the component information table of the photovoltaic module provided according to some embodiments of the present invention. Table 2-3 shows the component product loss data of the component information table of the photovoltaic module provided according to some embodiments of the present invention.

[0046] Production information of the component information table in Table 2-1

[0047]

[0048] Component product size and spacing of the component information table in Table 2-2

[0049]

[0050] Component product loss data of the component information table in Table 2-3

[0051]

[0052] Specifically, the processor can determine the design factor, internal loss power, optical loss power, and / or external loss power of the corresponding photovoltaic module according to the formula of the photovoltaic module, as well as the pre-established component information table, component internal resistance loss table, optical gain table, and / or component external power loss table.

[0053] Further, in some embodiments, the processor can determine the design factor G(x,y) of the photovoltaic module according to the battery parameters, component layout design parameters, and the component information table. Here, the component layout design parameters optionally include at least one of the electrical parameters of the component, the cell spacing, the string spacing, and the number of cells in a single string.

[0054] Similarly, in some embodiments, the processor can determine the internal loss power P1(x,r1) of the photovoltaic module according to the battery parameters, internal resistance parameters, and the component internal resistance loss table. Here, the internal resistance parameters optionally include the interconnection bar resistance and / or the bus bar resistance, where the interconnection bar resistance and / or the bus bar resistance are at least determined by the diameter of the interconnection bar, the specification of the bus bar, and the thickness of the tin layer.

[0055] Similarly, in some embodiments, the processor can determine the optical gain factor of the photovoltaic module according to the battery parameters, optical component parameters, and the optical gain table, and accordingly determine the optical loss power P2(x,i) of the photovoltaic module. Here, the optical component parameters optionally include at least one of the shading ratio of the interconnection bar, the light transmittance of the encapsulant, and the type of coating process.

[0056] Similarly, in some embodiments, the processor may determine the external loss power P3(x, r2) of the photovoltaic module according to the battery parameters, external resistance parameters, and the external power loss table of the components. Here, the external resistance parameters optionally include the wire resistance of the cable and / or the contact resistance, where the wire resistance of the cable and / or the contact resistance is at least determined by the wire diameter of the cable.

[0057] After that, the processor may determine the first maximum power P of the photovoltaic module according to the above design factors, internal loss power, optical loss power, and / or external loss power. max :

[0058] P max = G(x, y) + P1(x, r1) + P2(x, i) + P3(x, r2)

[0059] Wherein, G(x, y) is the design factor of the photovoltaic module, which is used to indicate the influence of the battery parameters and component parameters of the photovoltaic module on its output power, P1(x, r1) is the internal loss power of the photovoltaic module, P2(x, i) is the optical loss power of the photovoltaic module, P3(x, r2) is the external loss power of the photovoltaic module, x is the battery parameter of the photovoltaic module, y is the component parameter of the photovoltaic module, r1 is the internal resistance parameter of the photovoltaic module, i is the optical gain factor of the photovoltaic module, and r2 is the external resistance parameter of the photovoltaic module.

[0060] Please refer to Figures 4 to 6 , Figure 4 which shows a bar chart of the output distribution of the photovoltaic module under standard conditions provided by some embodiments of the present invention. Figure 5 which shows a schematic curve diagram of the normal distribution model provided by some embodiments of the present invention. Figure 6 which shows a schematic diagram of the principle of calculating the yield at each power level provided by some embodiments of the present invention.

[0061] As Figure 4 shown, under the standard conditions of AM1.5, 25°C, and 1000 W / m 2 , the output distribution of the photovoltaic modules produced from the solar cells with the same formula and the same efficiency at different power levels is tested, and it can be seen that it basically conforms to the normal distribution. Therefore, the processor may respectively construct a normal distribution model according to the first maximum power of the photovoltaic modules prepared by each formula to determine the yields of the photovoltaic modules prepared by each formula at multiple power levels.

[0062] Specifically, as Figure 5 shown, the processor may, according to the first maximum power P of the photovoltaic modules prepared by each formula max, determine the mean μ of the normal distribution model, and determine the standard deviation σ of the normal distribution model based on the differences between the output powers of the photovoltaic modules prepared with each formulation.

[0063] After that, as Figure 6 shown, the processor can construct a normal distribution model X~N(μ,σ 2 ) according to the above mean μ and standard deviation σ, and calculate the yields of the photovoltaic modules prepared with each formulation at multiple power levels according to the normal distribution model. The processor can calculate the area of the corresponding shaded part in the normal distribution model according to the method of calculating probability in the normal distribution model, based on the maximum and minimum values of the corresponding power level, which is the yield at the corresponding power level.

[0064] For example, if the first maximum power P max = 662W of the photovoltaic modules prepared with each formulation, the yield of the 655W level (652.5W - 657.5W) can be calculated as 9.12%, the yield of the 660W level (657.5W - 662.5W) is 88.60%, the yield of the 665W level (662.5W - 667.5W) is 2.28%, and the yield of the 670W level (667.5W - 672.5W) is 0.00%.

[0065] After that, the processor can obtain the target output power required, and determine the corresponding formulation in combination with the yields of the photovoltaic modules prepared with each formulation at each power level.

[0066] Specifically, the processor can select a preset first formulation to determine the yields of the first photovoltaic modules prepared with it at multiple power levels. After that, the processor can adjust the first formulation according to the difference between the power level corresponding to the first maximum yield of the first photovoltaic modules and the target output power to determine a second formulation, and re-determine the yields of the second photovoltaic modules prepared with it at each power level until the power level corresponding to the second maximum yield of the second photovoltaic modules matches the target output power.

[0067] In addition, in some preferred embodiments, the processor can set up a precise power comparison experiment during the process of adjusting the formulation of the photovoltaic modules to adjust any one of the battery parameters, component layout design parameters, internal resistance parameters, optical component parameters, and external resistance parameters. After that, the processor can predict the second maximum power of the photovoltaic modules prepared with the re-determined formulation of the photovoltaic modules, and directionally adjust one of the corresponding battery parameters, component parameters, internal resistance parameters, optical component parameters, and external resistance parameters according to the difference between the first maximum power and the second maximum power.

[0068] For example, two control groups are set up. In one group, the product of the photovoltaic module uses bus bar A, and in the other group, the product of the photovoltaic module uses bus bar B, with other specifications remaining unchanged. In this way, the processor can accurately track the maximum power values of the two groups and obtain P max B and P max The difference between A is +1W. The processor can obtain that the change in the material of the bus bar causes a change in the fill factor FF in the battery parameters.

[0069] In this way, the processor can accurately track the verification and comparison results of the experimental group and the control group, obtain the influence of a certain material / specification change on the relevant parameters of the module, and adjust the corresponding relevant parameters directionally.

[0070] In summary, the method for determining the photovoltaic module formula, the device for determining the photovoltaic module formula, and the computer-readable storage medium provided by the present invention can all predict the maximum power of the photovoltaic module according to the formula of the photovoltaic module, establish a normal distribution model to determine the yield of the photovoltaic modules prepared by each formula at multiple power levels, and be used to select the formula of the photovoltaic module targeted to better match the power requirements of the order and reduce the generation of by-products.

[0071] Although the above methods are illustrated and described as a series of actions for simplicity of explanation, it should be understood and appreciated that these methods are not limited by the order of the actions, because according to one or more embodiments, some actions may occur in a different order and / or concurrently with other actions not illustrated and described herein but understood by those skilled in the art.

[0072] The various illustrative logical modules and circuits described in connection with the embodiments disclosed herein can be implemented or executed using a general-purpose processor, a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or any combination thereof designed to perform the functions described herein. The general-purpose processor can be a microprocessor, but in an alternative, the processor can be any conventional processor, controller, microcontroller, or state machine. The processor can also be implemented as a combination of computing devices, such as a combination of a DSP and a microprocessor, multiple microprocessors, one or more microprocessors cooperating with a DSP core, or any other such configuration.

[0073] The prior description of the present disclosure is provided to enable any person skilled in the art to make or use the present disclosure. Various modifications to the present disclosure will be apparent to those skilled in the art, and the general principles defined herein can be applied to other variations without departing from the spirit or scope of the present disclosure. Thus, the present disclosure is not intended to be limited to the examples and designs described herein, but should be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for determining a photovoltaic module formula, characterized in that, Including the following steps: Obtain the formulations of multiple photovoltaic modules to respectively predict the first maximum power of the photovoltaic modules prepared from each of the formulations. Among them, the formulation includes cell parameters, module layout design parameters, internal resistance parameters, optical component parameters, and external resistance parameters. The step of obtaining the formulations of multiple photovoltaic modules to respectively predict the first maximum power of the photovoltaic modules prepared from each of the formulations includes: according to the formulation, as well as a pre-established module information table, module internal resistance loss table, optical gain table, and module external power loss table, determine the design factor, internal loss power, optical loss power, and external loss power of the corresponding photovoltaic module; and according to the design factor, the internal loss power, the optical loss power, and the external loss power, determine the first maximum power of the photovoltaic modules prepared from each of the formulations; Construct a normal distribution model respectively based on the first maximum power of the photovoltaic modules prepared according to each of the said formulations, so as to determine the yields of the photovoltaic modules prepared according to each of the said formulations at multiple power levels. Among them, the steps of constructing a normal distribution model respectively based on the first maximum power of the photovoltaic modules prepared according to each of the said formulations to determine the yields of the photovoltaic modules prepared according to each of the said formulations at multiple power levels include: determining the mean of the normal distribution model based on the first maximum power of the photovoltaic modules prepared according to each of the said formulations , and determining the standard deviation of the normal distribution model according to the differences between the output powers of the photovoltaic modules prepared according to each of the said formulations ; and constructing the normal distribution model according to the mean and the standard deviation , and calculating the yields of the photovoltaic modules prepared according to each of the said formulations at multiple power levels according to the normal distribution model; and ​ Obtain the required target output power, and combine the yields of the photovoltaic modules prepared from each of the formulations at each power level to determine the corresponding formulation.

2. The determination method according to claim 1, characterized in that The step of determining the design factor, internal loss power, optical loss power, and external loss power of the corresponding photovoltaic module according to the formulation, as well as a pre-established module information table, module internal resistance loss table, optical gain table, and module external power loss table, includes: Determine the design factor of the photovoltaic module according to the battery parameters, the component layout design parameters, and the component information table ; Determine the internal loss power of the photovoltaic module according to the battery parameters, the internal resistance parameters, and the internal resistance loss table of the components ; Determine the optical gain factor of the photovoltaic module according to the battery parameters, the optical component parameters, and the optical gain table, and determine the optical loss power of the photovoltaic module accordingly ; and Determine the external loss power of the photovoltaic module according to the battery parameters, the external resistance parameters, and the external power loss table of the component .

3. The determination method according to claim 2, wherein The cell parameters include at least one of cell size, open circuit voltage, short circuit current, working voltage at the maximum power point, working current at the maximum power point, and fill factor. The module layout design parameters include at least one of the electrical parameters of the module, cell pitch, string pitch, and number of cells in a single string. The internal resistance parameters include interconnection bar resistance and bus bar resistance. Among them, the interconnection bar resistance and the bus bar resistance are determined by at least the diameter of the interconnection bar, the specification of the bus bar, and the thickness of the tin layer. The optical component parameters include at least one of the shading ratio of the interconnection bar, the light transmittance of the encapsulant, and the type of coating process. The external resistance parameters include cable line resistance and contact resistance. Among them, the cable line resistance and the contact resistance are determined by at least the cable diameter.

4. The determination method according to claim 2, characterized in that The step of determining the first maximum power of the photovoltaic modules prepared from each of the formulations according to the design factor, the internal loss power, the optical loss power, and the external loss power includes: Calculate the first maximum power of the photovoltaic module according to the component layout design factor and the sum of the internal loss power, the optical loss power, and the external loss power : Among them, is the design factor of the photovoltaic module, is the internal loss power of the photovoltaic module, is the optical loss power of the photovoltaic module, is the external loss power of the photovoltaic module, is the battery parameter of the photovoltaic module, is the module layout design parameter of the photovoltaic module, is the internal resistance parameter of the photovoltaic module, is the optical gain factor of the photovoltaic module, is the external resistance parameter of the photovoltaic module.

5. The determination method according to claim 1, characterized in that, The step of obtaining the required target output power, and combining the yields of the photovoltaic modules prepared from each of the formulations at each power level to determine the corresponding formulation includes: Select a preset first formulation to determine the yields of the first photovoltaic module prepared therefrom at multiple power levels; and According to the difference between the power level corresponding to the first maximum yield of the first photovoltaic module and the target output power, adjust the first formulation to determine a second formulation, and re-determine the yields of the second photovoltaic module prepared therefrom at each power level until the power level corresponding to the second maximum yield of the second photovoltaic module is consistent with the target output power.

6. The determination method according to claim 5, characterized in that The step of adjusting the formulation of the photovoltaic module according to the yields of the output power of each photovoltaic module at each power level and the required power includes: Set up an accurate power comparison experiment to adjust any one of the battery parameters, component layout design parameters, internal resistance parameters, optical component parameters, and external resistance parameters; Predict the second maximum power of the photovoltaic module prepared according to the re-determined formula of the photovoltaic module; and According to the difference between the first maximum power and the second maximum power, directionally adjust one of the corresponding battery parameters, component parameters, internal resistance parameters, optical component parameters, and external resistance parameters.

7. A device for determining a photovoltaic module formula, characterized in that, Comprising: A memory storing computer instructions thereon; and A processor connected to the memory and configured to execute the computer instructions stored thereon to implement the method for determining the formula of the photovoltaic module according to any one of claims 1 to 6.

8. A computer-readable storage medium having computer instructions stored thereon, characterized in that, When the computer instructions are executed by the processor, the method for determining the formula of the photovoltaic module according to any one of claims 1 to 6 is implemented.

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