A method for simulating and simulating a heterojunction cell pattern and related equipment

Abstract

This invention relates to the field of photovoltaic cell technology, and discloses a graphical simulation method and related equipment for heterojunction cells. The method includes acquiring measurement data of the cell grid lines; constructing a simulation model of the heterojunction cell based on the acquired grid line measurement data; optimizing the number of front and back grid lines according to the simulation model, and determining the final grid line layout based on the optimization results. The simulation model, built based on accurate grid line measurement data, can accurately simulate the performance of the cell under different grid line layouts. By optimizing the number of front and back grid lines, the optimal grid line layout can be accurately found, thereby maximizing the photoelectric conversion efficiency and output power of the cell.

Description

Technical Field

[0001] This invention relates to the field of photovoltaic cell technology, specifically to a graphical simulation method and related equipment for heterojunction cells. Background Technology

[0002] With the rapid development of photovoltaic technology, high-efficiency heterojunction (HJT) cells have become a hot topic in photovoltaic industry research and application due to their excellent photoelectric conversion efficiency and outstanding long-term stability. The performance optimization of HJT cells is directly related to the overall efficiency and economy of solar power generation systems. Among them, grid line design, as a key factor affecting cell current collection efficiency and photoelectric conversion performance, is of paramount importance.

[0003] Currently, the mainstream HJT cell sizes on the market include 182mm and 210mm half-cell specifications, which play an important role in photovoltaic module manufacturing. However, different cell sizes face different challenges in grid line design. Grid line layout, including the number, width, spacing, and shape of grid lines, has a significant impact on the cell's current collection capability, light absorption efficiency, and ultimately, photoelectric conversion efficiency.

[0004] Although researchers and engineers have recognized the importance of grid line design, there is currently a lack of simulation methods and systems capable of accurately simulating the impact of different grid line layouts on battery performance. This leads to grid line design in actual production often relying on experience or trial and error, making it difficult to achieve optimal design results. Summary of the Invention

[0005] In order to overcome the defects of the prior art, the purpose of this invention is to provide a heterojunction battery graphic simulation method and related equipment to solve the technical problem of low battery efficiency caused by relying on experience or trial and error in the prior art.

[0006] This invention is achieved through the following technical solution: In a first aspect, the present invention provides a graphical simulation method for heterojunction solar cells, comprising: Acquire measurement data of the battery grid lines; A simulation model of a heterojunction cell was constructed based on the obtained measurement data of the cell grid lines. The number of front and back grid lines of the battery grid is optimized based on the simulation model of the heterojunction battery, and the final grid layout is determined based on the optimization results.

[0007] Preferably, in the step of obtaining the measurement data of the battery grid lines, the measurement data of the battery grid lines includes the width and height of the fine grid lines on the front side of the battery, the width and height of the fine grid lines on the back side of the battery, and the sheet resistance of the front and back sides of the battery.

[0008] Preferably, in the step of constructing a simulation model of a heterojunction battery based on the obtained measurement data of the battery grid lines, a three-dimensional modeling technique or an equivalent circuit model technique is used to construct the simulation model of the heterojunction battery.

[0009] Preferably, in the step of optimizing the number of front and back grid lines of the battery grid based on the simulation model of the heterojunction battery, the optimization process for the front grid lines is as follows: The number and layout of the grid lines on the back of the fixed battery grid line; Optimize the range for the number of grid lines on the front of the battery; Within the simulation model of the heterojunction battery, the number of front-side grid lines of the battery within the optimized range is simulated one by one. Based on the simulation results, the battery performance parameters under each number of front-side grid lines are evaluated, the impact of increasing the number of front-side grid lines on battery efficiency is analyzed, and the evaluation results are obtained. The number of front grid lines that optimizes battery efficiency is determined based on the evaluation results.

[0010] Preferably, in the step of optimizing the number of front and back grid lines of the battery grid based on the simulation model of the heterojunction battery, the optimization process for the back grid lines is as follows: The number and layout of the front grid lines of the fixed battery grid; Optimize the range for the number of grid lines on the back of the battery; Within the simulation model of the heterojunction battery, the number of back grid lines of the battery within the optimized range is simulated one by one. Based on the simulation results, the battery performance parameters under each number of back grid lines are evaluated, the impact of increasing the number of back grid lines on battery efficiency is analyzed, and the evaluation results are obtained. The number of back grid lines that optimizes battery efficiency is determined based on the evaluation results.

[0011] Furthermore, based on the optimization results of the optimal number of front grid lines or the optimal number of back grid lines, the number of welding PAD points on each main grid is set to complete the design of the battery electrode parameters, and the final grid line layout diagram is generated based on the design of the battery electrode parameters.

[0012] Secondly, the present invention also provides a graphical simulation system for heterojunction solar cells, comprising: The data acquisition module is used to acquire measurement data of the battery grid lines; The model building module is used to build a simulation model of the heterojunction cell based on the obtained measurement data of the cell grid lines; The optimization module is used to optimize the number of front and back grid lines of the battery grid based on the simulation model of the heterojunction battery, and determine the final grid layout based on the optimization results.

[0013] Thirdly, the present invention also provides a mobile terminal, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the heterojunction battery graphical simulation method described above.

[0014] Fourthly, the present invention also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps of the heterojunction battery graphical simulation method described above.

[0015] Fifthly, the present invention also provides a computer program product, including computer instructions that instruct a computing device to perform operations corresponding to the above-described heterojunction battery graphical simulation method.

[0016] Compared with the prior art, the present invention has the following beneficial technical effects: This invention provides a graphical simulation method for heterojunction solar cells. The method involves acquiring measurement data of the cell's grid lines; constructing a simulation model of the heterojunction cell based on this data; optimizing the number of front and back grid lines according to the simulation model; and determining the final grid line layout based on the optimization results. By constructing a simulation model based on accurate grid line measurement data, the method can accurately simulate the battery's performance under different grid line layouts. By optimizing the number of front and back grid lines, the optimal grid line layout can be precisely found, thereby maximizing the battery's photoelectric conversion efficiency and output power.

[0017] Furthermore, this invention, through simulation optimization, avoids unnecessary experimental trial and error, reducing waste of materials and energy. Simultaneously, the optimized grid layout may lower production costs and improve production efficiency, making heterojunction solar cells more economical and competitive in the market. The optimized grid layout can more effectively collect and transmit photocurrent, reduce resistance loss, and improve fill factor and photoelectric conversion efficiency. This directly enhances the overall performance of the cell, making it more competitive in the photovoltaic field. Attached Figure Description

[0018] Figure 1 This is a schematic diagram of the graphical simulation method for heterojunction batteries in an embodiment of the present invention; Figure 2 This is a schematic diagram of the front grid line optimization process of the battery grid line in an embodiment of the present invention; Figure 3 This is a schematic diagram of the back grid line optimization process of the battery grid line in an embodiment of the present invention; Figure 4 This is a schematic diagram of the heterojunction battery graphical simulation system in an embodiment of the present invention; In the diagram: 1-Data acquisition module; 2-Model building module; 3-Optimization module. Detailed Implementation

[0019] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0020] The present invention will now be described in further detail with reference to the accompanying drawings: The purpose of this invention is to provide a graphical simulation method and related equipment for heterojunction batteries, so as to solve the technical problem of low battery efficiency caused by relying on experience or trial and error in the prior art.

[0021] Example 1 See Figure 1 In one embodiment of the present invention, a graphical simulation method for heterojunction solar cells is provided, comprising: Step 1: Obtain measurement data of the battery grid lines; Specifically, in the step of obtaining the measurement data of the battery grid lines, the measurement data of the battery grid lines includes the width and height of the fine grid lines on the front of the battery, the width and height of the fine grid lines on the back of the battery, and the sheet resistance of the front and back of the battery.

[0022] In this embodiment, high-precision measuring tools (such as microscopes and laser rangefinders) are used to directly measure the width and height of the battery grid lines. Simultaneously, the sheet resistance can be measured using the four-probe method or similar testing techniques. The battery surface is observed at high magnification using instruments such as optical microscopes or scanning electron microscopes, and the dimensional information of the grid lines is extracted using image processing techniques. The sheet resistance and current transport performance of the battery are indirectly evaluated using electrical testing methods such as current-voltage (IV) testing and electrochemical impedance spectroscopy (EIS).

[0023] Step 2: Construct a simulation model of the heterojunction cell based on the obtained measurement data of the cell grid lines; Specifically, a simulation model of a heterojunction cell is constructed using 3D modeling technology or equivalent circuit modeling technology; The specific process is as follows: Data preparation: Organize the acquired battery grid line measurement data (including width, height, sheet resistance, etc.) and other relevant material parameters (such as semiconductor layer thickness, doping concentration, etc.) into the format required for model input.

[0024] Model Building: Using professional 3D modeling software (such as SolidWorks, AutoCAD, etc.), the 3D model of the battery is built layer by layer according to its actual structure. During the modeling process, special attention needs to be paid to the layout and dimensions of the grid lines to ensure the accuracy of the model.

[0025] Material property settings: Assign corresponding material properties to various parts of the model, including electrical conductivity, optical properties, and thermal properties. These properties will directly affect the battery's performance during the simulation.

[0026] Meshing: Dividing the model into multiple small mesh elements enables accurate calculations during simulation. Meshing should take into account variations in the model's geometry and material properties to ensure the accuracy of the calculation results.

[0027] Simulation Run: Set the necessary operating parameters (such as light intensity, temperature, etc.) in the simulation software and start the simulation program. The simulation program will simulate the battery's operation under different conditions based on the model's structure and material properties, and calculate the corresponding performance parameters.

[0028] Step 3: Optimize the number of front and back grid lines of the battery grid based on the simulation model of the heterojunction battery, and determine the final grid layout based on the optimization results.

[0029] Specifically, according to Figure 2 As shown, the optimization process for the front grid lines of the battery grid is as follows: S1, fixes the number and layout of the grid lines on the back of the battery grid; Specifically, before optimizing the front grid lines, it is necessary to first fix the number and layout of the back grid lines. This is because the back grid lines also have a significant impact on battery performance, but their impact is treated as a constant during the front grid line optimization process. Fixing the back grid lines ensures that other variables remain constant when evaluating changes in the front grid lines, thus accurately reflecting the impact of changes in the number of front grid lines on battery efficiency.

[0030] S2, setting the optimization range for the number of grid lines on the front of the battery; Specifically, based on battery design and performance requirements, a reasonable optimization range for the number of front-side grid lines should be set. This range should be determined based on current technological conditions, production costs, and performance expectations. Setting an optimization range helps reduce unnecessary simulations while ensuring coverage of possible optimal solutions.

[0031] S3. Simulate the number of front grid lines of the battery within the optimization range one by one in the simulation model of the heterojunction battery, and evaluate the battery performance parameters under each number of front grid lines based on the simulation results, analyze the impact of increasing the number of front grid lines on battery efficiency, and obtain the evaluation results. Specifically, using the established heterojunction battery simulation model, various scenarios with the number of front-side grid lines within the optimized range are simulated one by one. During the simulation, it is necessary to ensure that other parameters (such as light intensity, temperature, and battery materials) remain constant in order to accurately assess the impact of changes in the number of front-side grid lines on battery performance. The simulation results will provide detailed data on battery performance parameters, such as conversion efficiency, open-circuit voltage, and short-circuit current.

[0032] S4, and determine the number of front grid lines to achieve optimal battery efficiency based on the evaluation results.

[0033] Specifically, by analyzing the simulation results, the battery performance parameters under each number of front-side grid lines are evaluated. The focus is on the trend of conversion efficiency, as it is a crucial indicator of battery performance. The impact of increasing the number of front-side grid lines on battery efficiency is analyzed to identify the optimal number of front-side grid lines for achieving the best battery efficiency. This process may require multiple iterations and comparisons of different schemes to ensure that the final selected scheme is optimal.

[0034] Among them, according to Figure 3 As shown, the optimization process for the back grid lines of the battery grid is as follows: L1, the number and layout of the front grid lines of the fixed battery grid; Specifically, the front grid lines are fixed to ensure that other variables remain constant when optimizing the back grid lines.

[0035] L2 sets the optimization range for the number of grid lines on the back of the battery; Specifically, the optimal range for the number of back grid lines is set based on battery design and performance requirements.

[0036] L3, within the simulation model of the heterojunction cell, simulate the number of back grid lines of the cell within the optimized range one by one, and evaluate the cell performance parameters under each number of back grid lines based on the simulation results, analyze the impact of increasing the number of back grid lines on cell efficiency, and obtain the evaluation results. Specifically, simulation models are used to simulate various scenarios where the number of back-side gate lines is within the optimization range, ensuring that other parameters remain constant.

[0037] L4, and determine the number of back grid lines to achieve optimal battery efficiency based on the evaluation results.

[0038] Specifically, the simulation results are analyzed to evaluate the impact of changes in the number of back grid lines on battery efficiency, and the optimal number of back grid lines is determined.

[0039] Specifically, based on the optimization results of the optimal number of front grid lines or the optimal number of back grid lines, the number of welding PAD points on each main grid is set to complete the design of the battery electrode parameters, and the final grid line layout diagram is generated based on the design of the battery electrode parameters.

[0040] In summary, this invention provides a graphical simulation method for heterojunction solar cells. It involves acquiring measurement data of the cell's grid lines; constructing a simulation model of the heterojunction solar cell based on this data; optimizing the number of front and back grid lines according to the simulation model; and determining the final grid line layout based on the optimization results. By constructing a simulation model based on accurate grid line measurement data, the method can accurately simulate the performance of the cell under different grid line layouts. By optimizing the number of front and back grid lines, the optimal grid line layout can be precisely found, thereby maximizing the photoelectric conversion efficiency and output power of the cell.

[0041] Example 2 according to Figure 4 As shown, the present invention also provides a graphical simulation system for heterojunction solar cells, comprising: Data acquisition module 1 is used to acquire measurement data of the battery grid lines; Model building module 2 is used to build a simulation model of the heterojunction cell based on the obtained measurement data of the cell grid lines; The optimization module 3 is used to optimize the number of front and back grid lines of the battery grid based on the simulation model of the heterojunction battery, and determine the final grid layout based on the optimization results.

[0042] Example 3 The present invention also provides a mobile terminal, including a memory, a processor, and a computer program stored in the memory and executable on the processor, such as a heterojunction battery graphical simulation program.

[0043] When the processor executes the computer program, it implements the steps of the above-described heterojunction battery graphical simulation method, for example: Acquire measurement data of the battery grid lines; A simulation model of a heterojunction cell was constructed based on the obtained measurement data of the cell grid lines. The number of front and back grid lines of the battery grid is optimized based on the simulation model of the heterojunction battery, and the final grid layout is determined based on the optimization results.

[0044] Alternatively, when the processor executes the computer program, it implements the functions of each module in the above system, for example: Data acquisition module 1 is used to acquire measurement data of the battery grid lines; Model building module 2 is used to build a simulation model of the heterojunction cell based on the obtained measurement data of the cell grid lines; The optimization module 3 is used to optimize the number of front and back grid lines of the battery grid based on the simulation model of the heterojunction battery, and determine the final grid layout based on the optimization results.

[0045] For example, the computer program may be divided into one or more modules / units, which are stored in the memory and executed by the processor to complete the present invention. The one or more modules / units may be a series of computer program instruction segments capable of performing a specific function, which describe the execution process of the computer program in the mobile terminal.

[0046] For example, the computer program can be divided into a data acquisition module 1, a model building module 2, and an optimization module 3; The specific functions of each module are as follows: Data acquisition module 1 is used to acquire measurement data of the battery grid lines; Model building module 2 is used to build a simulation model of the heterojunction cell based on the obtained measurement data of the cell grid lines; The optimization module 3 is used to optimize the number of front and back grid lines of the battery grid based on the simulation model of the heterojunction battery, and determine the final grid layout based on the optimization results.

[0047] The mobile terminal can be a computing device such as a desktop computer, laptop, handheld computer, or cloud server. The mobile terminal may include, but is not limited to, a processor and memory.

[0048] The processor can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or any conventional processor. The processor is the control center of the mobile terminal, connecting various parts of the mobile terminal via various interfaces and lines.

[0049] The memory can be used to store the computer program and / or module. The processor implements various functions of the mobile terminal by running or executing the computer program and / or module stored in the memory and calling the data stored in the memory.

[0050] The memory may primarily include a program storage area and a data storage area. The program storage area may store the operating system and at least one application program required for a function (such as sound playback, image playback, etc.); the data storage area may store data created based on the use of the mobile phone (such as audio data, phonebook, etc.). Furthermore, the memory may include high-speed random access memory, and may also include non-volatile memory, such as hard disks, RAM, plug-in hard disks, SmartMediaCards (SMC), Secure Digital (SD) cards, FlashCards, at least one disk storage device, flash memory device, or other volatile solid-state storage devices.

[0051] Example 4 The present invention also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps of the graphical simulation method for heterojunction batteries.

[0052] If the modules / units integrated in the mobile terminal are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium.

[0053] Based on this understanding, all or part of the processes in the above method can also be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium. When executed by a processor, the computer program can implement the steps of the above-described aggregated reinforcement learning resource scheduling method. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or some intermediate form.

[0054] The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording media, USB flash drive, portable hard drive, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal, and software distribution medium, etc.

[0055] It should be noted that the content contained in the computer-readable medium may be appropriately added to or subtracted from the content as required by the legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, the computer-readable medium may not include electrical carrier signals and telecommunication signals.

[0056] Example 5 A computer program product includes computer instructions that instruct a computing device to perform operations corresponding to the above-described heterojunction battery graphical simulation.

[0057] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A graphical simulation method for heterojunction solar cells, characterized in that, include: Acquire measurement data of the battery grid lines; A simulation model of a heterojunction cell was constructed based on the obtained measurement data of the cell grid lines. The number of front and back grid lines of the battery grid is optimized based on the simulation model of the heterojunction battery, and the final grid layout is determined based on the optimization results.

2. The method for graphical simulation of heterojunction batteries according to claim 1, characterized in that, In the step of obtaining measurement data of the battery grid lines, the measurement data of the battery grid lines includes the width and height of the fine grid lines on the front of the battery, the width and height of the fine grid lines on the back of the battery, and the sheet resistance of the front and back of the battery.

3. The method for graphical simulation of heterojunction batteries according to claim 1, characterized in that, In the step of constructing a simulation model of a heterojunction battery based on the obtained measurement data of the battery grid lines, a three-dimensional modeling technique or an equivalent circuit model technique is used to construct the simulation model of the heterojunction battery.

4. The method for graphical simulation of heterojunction batteries according to claim 1, characterized in that, In the step of optimizing the number of front and back grid lines of the battery grid based on the simulation model of the heterojunction battery, the optimization process of the front grid lines is as follows: The number and layout of the grid lines on the back of the fixed battery grid line; Optimize the range for the number of grid lines on the front of the battery; Within the simulation model of the heterojunction battery, the number of front-side grid lines of the battery within the optimized range is simulated one by one. Based on the simulation results, the battery performance parameters under each number of front-side grid lines are evaluated, the impact of increasing the number of front-side grid lines on battery efficiency is analyzed, and the evaluation results are obtained. The number of front grid lines that optimizes battery efficiency is determined based on the evaluation results.

5. The method for graphical simulation of heterojunction batteries according to claim 1, characterized in that, In the step of optimizing the number of front and back grid lines of the battery grid based on the simulation model of the heterojunction battery, the optimization process for the back grid lines is as follows: The number and layout of the front grid lines of the fixed battery grid; Optimize the range for the number of grid lines on the back of the battery; Within the simulation model of the heterojunction battery, the number of back grid lines of the battery within the optimized range is simulated one by one. Based on the simulation results, the battery performance parameters under each number of back grid lines are evaluated, the impact of increasing the number of back grid lines on battery efficiency is analyzed, and the evaluation results are obtained. The number of back grid lines that optimizes battery efficiency is determined based on the evaluation results.

6. The method for graphical simulation of heterojunction batteries according to claim 4 or 5, characterized in that, Based on the optimization results of the optimal number of front grid lines or the optimal number of back grid lines, the number of welding PAD points on each main grid is set to complete the design of the battery electrode parameters, and the final grid line layout diagram is generated based on the design of the battery electrode parameters.

7. A graphical simulation system for heterojunction solar cells, characterized in that, include: Data acquisition module 1 is used to acquire measurement data of the battery grid lines; Model building module 2 is used to build a simulation model of the heterojunction cell based on the obtained measurement data of the cell grid lines; The optimization module 3 is used to optimize the number of front and back grid lines of the battery grid based on the simulation model of the heterojunction battery, and determine the final grid layout based on the optimization results.

8. A mobile terminal, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the heterojunction battery graphical simulation method as described in any one of claims 1-6.

9. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the steps of the heterojunction battery graphical simulation method as described in any one of claims 1-6.

10. A computer program product comprising computer instructions, characterized in that, The computer instructions instruct the computing device to perform the operations corresponding to the heterojunction battery graphical simulation method as described in any one of claims 1-6.

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