Battery piece power optimization system, method and device of photovoltaic curtain wall and medium

Abstract

The invention provides a battery piece power optimization system, method and device of a photovoltaic curtain wall and a medium, the method is applied to a control module of the battery piece power optimization system of the photovoltaic curtain wall, and the method comprises the following steps: acquiring battery piece structure information of each photovoltaic module, and generating monitoring information corresponding to each photovoltaic module according to the battery piece structure information; the monitoring information at least comprises one or more of monitoring voltage, monitoring current, monitoring power and monitoring temperature; in the operation process of the photovoltaic modules, real-time measurement information sent by the sensing module corresponding to each photovoltaic module is obtained; the real-time measurement information at least comprises one or more of real-time voltage, real-time current, real-time power and real-time temperature; generating a real-time monitoring result corresponding to each photovoltaic module according to the monitoring information and the real-time measurement information corresponding to each photovoltaic module; and optimizing the maximum power information corresponding to the photovoltaic module according to the real-time monitoring result corresponding to each photovoltaic module, and completing the power optimization of the photovoltaic module.

Description

Technical Field

[0001] The present application relates to the field of photovoltaic technology, and in particular to a power optimization system, method, device and medium for photovoltaic curtain wall cells. Background Art

[0002] With the growing global demand for sustainable energy, Building Integrated Photovoltaics (BIPV) technology has emerged and has become an important development direction in the future construction field. BIPV technology can not only provide the functions of traditional building materials, but also integrate photovoltaic power generation components into building structures to achieve energy self-sufficiency and reduce dependence on external power grids, thereby significantly reducing the operating costs and carbon emissions of buildings. However, the application of BIPV systems faces many challenges, one of the most prominent of which is the hot spot effect and performance degradation caused by shading.

[0003] In the built environment, shading problems are frequent and complex. Surrounding buildings, trees, antennas, chimneys, and even the structure of the building itself (such as the roof) can cause uneven lighting, causing some photovoltaic panels to fail to work effectively. This will not only reduce the overall power generation efficiency, but may also cause hot spot effects, endangering the safety of components and buildings. Although traditional photovoltaic optimizers (such as micro inverters and DC-DC optimizers) can solve performance problems to a certain extent, they have limited capabilities in component-level fault location, and the troubleshooting and maintenance costs are high. In addition, because BIPV components are embedded in the building structure, the difficulty of maintenance and replacement is significantly increased, and the system needs to minimize human intervention.

[0004] Therefore, there is an urgent need for a power optimization system for photovoltaic curtain wall cells to solve at least one of the above problems. Summary of the invention

[0005] The present application provides a photovoltaic curtain wall cell power optimization system, method, device and medium, which aims to solve the frequent and complex shading problems in the current building environment. Surrounding buildings, trees, antennas, chimneys, and even the structure of the building itself (such as the ceiling) may cause uneven lighting, resulting in some photovoltaic modules not being able to work effectively. This will not only reduce the overall power generation efficiency, but may also cause hot spot effects, endangering the safety of modules and buildings. Although traditional photovoltaic optimizers (such as micro inverters and DC-DC optimizers) can solve performance problems to a certain extent, they have limited capabilities in module-level fault location, and the troubleshooting and maintenance costs are high. In addition, because BIPV modules are embedded in the building structure, the difficulty of maintenance and replacement is significantly increased, and the system needs to minimize human intervention and other issues.

[0006] In a first aspect, the present application provides a method for optimizing the power of a photovoltaic curtain wall cell, which is applied to a control module of a photovoltaic curtain wall cell power optimization system, wherein the cell power optimization system further includes a plurality of photovoltaic modules and a sensor module disposed on the photovoltaic modules; the method includes:

[0007] Obtaining the cell structure information of each photovoltaic module, and generating monitoring information corresponding to each photovoltaic module according to the cell structure information; the monitoring information includes at least one or more of monitoring voltage, monitoring current, monitoring power and monitoring temperature;

[0008] During the operation of the photovoltaic components, real-time measurement information sent by the sensor module corresponding to each photovoltaic component is obtained; the real-time measurement information includes at least one or more of real-time voltage, real-time current, real-time power and real-time temperature;

[0009] Generate a real-time monitoring result corresponding to each photovoltaic component according to the monitoring information and real-time measurement information corresponding to each photovoltaic component;

[0010] The maximum power information corresponding to each photovoltaic module is optimized according to the real-time monitoring results corresponding to each photovoltaic module, and the power optimization of the photovoltaic module is completed.

[0011] In some embodiments, monitoring information corresponding to each photovoltaic module is generated based on the cell structure information, including: obtaining environmental information corresponding to each photovoltaic module; the environmental information includes at least ambient temperature and ambient light intensity; generating monitoring voltage, monitoring current, monitoring power and monitoring temperature corresponding to each photovoltaic module based on the ambient temperature, ambient light intensity and cell structure information.

[0012] Exemplarily, the cell structure information includes at least one or more of the cell type, cell number, cell area, cell operating parameters and cell connection method; generating a monitoring voltage, a monitoring current, a monitoring power and a monitoring temperature corresponding to each photovoltaic module according to the ambient temperature, the ambient light intensity and the cell structure information, including: obtaining a reference open circuit voltage, a reference short circuit current, a reference light intensity and a reference temperature corresponding to the photovoltaic module according to the cell structure information; generating a monitoring voltage according to the reference open circuit voltage, the reference temperature and the ambient temperature; generating a monitoring current according to the reference short circuit current, the ambient light intensity and the reference light intensity; generating a monitoring power according to the monitoring voltage and the monitoring current; generating a monitoring temperature according to the ambient temperature, the ambient light intensity and the reference light intensity.

[0013] It should be noted that, in some embodiments, generating a monitoring voltage according to a reference open circuit voltage, a reference temperature, and an ambient temperature includes: obtaining a voltage correction coefficient corresponding to the battery cell according to the battery cell structure information; generating a monitoring voltage according to the voltage correction coefficient, the reference open circuit voltage, the reference temperature, and the ambient temperature; and the expression of the monitoring voltage includes:

[0014] ;

[0015] in, To monitor the voltage, is the voltage correction factor, is the reference open circuit voltage, is the reference temperature, is the ambient temperature.

[0016] It should be noted that, in some embodiments, the monitoring temperature is generated according to the ambient temperature, the ambient light intensity and the reference light intensity, including: obtaining the temperature correction coefficient corresponding to the battery cell according to the battery cell structure information; generating the monitoring temperature according to the temperature correction coefficient, the ambient temperature, the ambient light intensity and the reference light intensity; the expression of the monitoring temperature includes:

[0017] ;

[0018] in, To monitor the temperature, is the temperature correction coefficient, is the ambient light intensity, is the reference light intensity, is the ambient temperature.

[0019] In some embodiments, the real-time monitoring results include at least one or more of temperature monitoring results, current monitoring results, voltage monitoring results and power monitoring results; the maximum power information corresponding to the photovoltaic component is generated according to the real-time monitoring results corresponding to each photovoltaic component, including: parsing the maximum power information corresponding to the photovoltaic component, and obtaining the maximum voltage and maximum current corresponding to the maximum power point of the photovoltaic component; correcting the maximum voltage and maximum current according to the temperature monitoring results, current monitoring results, voltage monitoring results and power monitoring results; and optimizing the maximum power information corresponding to the photovoltaic component according to the corrected maximum voltage and maximum current.

[0020] Exemplarily, the maximum voltage and maximum current are corrected according to the temperature monitoring results, current monitoring results, voltage monitoring results and power monitoring results, including: obtaining standard temperature, standard voltage, standard current and standard power according to the battery cell structure information; generating a first current correction value and a first voltage correction value according to the standard temperature and the temperature monitoring results; generating a second current correction value and a second voltage correction value according to the standard current and the current monitoring results; generating a third current correction value and a third voltage correction value according to the standard voltage and the voltage monitoring results; generating a fourth current correction value and a fourth voltage correction value according to the standard power and the power monitoring results; correcting the maximum current according to the first current correction value, the second current correction value, the third current correction value and the fourth current correction value; and correcting the maximum voltage according to the first voltage correction value, the second voltage correction value, the third voltage correction value and the fourth voltage correction value.

[0021] In some embodiments, the cell power optimization system of the photovoltaic curtain wall also includes multiple switch modules, and the switch modules are connected between the cells of the photovoltaic module; before completing the power optimization of the photovoltaic module, it also includes: parsing the real-time monitoring results to obtain the abnormal cell position corresponding to the photovoltaic module; generating detour information based on the abnormal cell position and the cell structure information of the photovoltaic module; generating switch control information based on the detour information; and controlling each switch module to be turned on or off according to the switch control information, so that the photovoltaic module bypasses the abnormal cell to operate.

[0022] Exemplarily, after completing the power optimization of the photovoltaic module, it also includes: obtaining the abnormality type corresponding to the abnormal cell position according to the real-time monitoring results; generating abnormality repair information according to the cell structure, the abnormal cell position and the abnormality type; sending the abnormal cell position, the abnormality type and the abnormality repair information to a preset maintenance terminal; after the maintenance terminal completes the maintenance of the photovoltaic module, updating the maximum power information and switch control information corresponding to the photovoltaic module.

[0023] It should be noted that, in some embodiments, the abnormality type includes at least any one of occlusion and performance degradation; abnormality repair information is generated according to the cell structure, abnormal cell position and abnormality type, including: if the abnormality type is occlusion, occlusion area information is generated according to the abnormal cell position, and occlusion clearing information is generated according to the occlusion area, so as to control the preset clearing device to perform occlusion clearing according to the occlusion clearing information; if the abnormality type is performance degradation, component replacement information is generated according to the abnormal cell position, so as to control the preset component replacement device to replace the photovoltaic component according to the component replacement information.

[0024] In a second aspect, the present application provides a cell power optimization device for a photovoltaic curtain wall, a cell power optimization device, a control module of a cell power optimization system for a photovoltaic curtain wall, the cell power optimization system also includes a plurality of photovoltaic modules and a sensor module disposed on the photovoltaic modules; the device includes:

[0025] An information acquisition unit, used to acquire the cell structure information of each photovoltaic module, and generate monitoring information corresponding to each photovoltaic module according to the cell structure information; the monitoring information includes at least one or more of monitoring voltage, monitoring current, monitoring power and monitoring temperature;

[0026] A measurement acquisition unit, used to acquire real-time measurement information sent by the sensor module corresponding to each photovoltaic module during the operation of the photovoltaic module; the real-time measurement information includes at least one or more of real-time voltage, real-time current, real-time power and real-time temperature;

[0027] A result generating unit, used for generating a real-time monitoring result corresponding to each photovoltaic component according to the monitoring information and real-time measurement information corresponding to each photovoltaic component;

[0028] The optimization completion unit is used to optimize the maximum power information corresponding to the photovoltaic component according to the real-time monitoring result corresponding to each photovoltaic component, analyze the real-time monitoring result, and obtain the abnormal battery cell position corresponding to the photovoltaic component; generate detour information according to the abnormal battery cell position and the battery cell structure information of the photovoltaic component; generate switch control information according to the detour information; control each of the switch modules to be turned on or off according to the switch control information, so that the photovoltaic component bypasses the abnormal battery cell to operate; and complete the power optimization of the photovoltaic component.

[0029] In a third aspect, the present application also provides a photovoltaic curtain wall cell power optimization system, comprising:

[0030] A plurality of photovoltaic modules, each of which has a plurality of cells connected in series and / or in parallel;

[0031] A sensor module, the sensor module is arranged on the photovoltaic module;

[0032] A control module, the control module is electrically connected to each photovoltaic module and the sensor module;

[0033] A plurality of switch modules, wherein the switch modules are connected between the cells of the photovoltaic assembly;

[0034] Wherein, the control module includes a memory and a processor, the memory is used to store a computer program, and the processor is used to execute the computer program and implement the steps of the photovoltaic curtain wall cell power optimization method as claimed in the first aspect when executing the computer program.

[0035] In a fourth aspect, the present application provides a computer-readable storage medium storing a computer program, which, when executed by a processor, enables the processor to implement the steps of the method for optimizing the power of photovoltaic curtain walls cells as described in the first aspect above.

[0036] The embodiments of the present application provide a photovoltaic curtain wall cell power optimization system, method, device and medium. The method monitors the voltage, current, power and temperature information of each photovoltaic module in real time and optimizes the maximum power information of the photovoltaic module accordingly, so as to ensure that each module can operate at the highest efficiency, thereby significantly improving the power generation efficiency of the entire photovoltaic curtain wall system. In particular, in the case of uneven illumination, the optimization method can minimize power loss.

[0037] Compared with traditional PV optimizers, this method can diagnose and locate faults at a more refined level, that is, at the module level. This not only helps to find and solve problems in a timely manner, but also reduces the time and cost consumption during troubleshooting and maintenance. Since this method can automatically adjust the maximum power point tracking (MPPT) of PV modules through optimization algorithms, the need for manual intervention in daily operation is greatly reduced. This is especially advantageous considering that BIPV modules are embedded in building structures, which makes traditional maintenance and replacement very difficult. This method can adapt to complex and changing shading conditions in building environments, whether it is static shading objects such as surrounding buildings, trees, antennas, chimneys, or shading factors that change over time (such as cloud shadows). It adjusts the optimization strategy by continuously monitoring real-time measurement information to ensure that good performance can be maintained in different environments. By performing more refined monitoring and optimization of PV modules, this method can help operators more accurately judge the working status of modules and detect potential problems in a timely manner, so as to take measures in advance to prevent failures, making maintenance work more targeted and efficient. With the help of real-time monitoring and optimization at the module level, the PV curtain wall system can maintain high stability and reliability in the face of various environmental challenges, which is crucial to ensure long-term efficient operation.

[0038] In summary, this photovoltaic curtain wall cell power optimization method not only solves the problem of reduced power generation efficiency caused by uneven lighting, but also improves the overall performance and maintenance efficiency of the system through accurate fault diagnosis and positioning, reducing manual intervention, etc., which is of great significance for promoting the widespread application of BIPV technology in architectural design.

[0039] It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0041] Figure 1 This is a structural schematic diagram of a cell power optimization system for a photovoltaic curtain wall provided in one embodiment of the present application;

[0042] Figure 2 It is a structural schematic diagram of another cell power optimization system for a photovoltaic curtain wall provided in one embodiment of the present application;

[0043] Figure 3 This is a schematic flow chart of the steps of a method for optimizing the power of photovoltaic cells of a curtain wall provided in one embodiment of the present application;

[0044] Figure 4 It is a structural schematic diagram of a cell power optimization device for a photovoltaic curtain wall provided in one embodiment of the present application;

[0045] Figure 5 It is a schematic block diagram of the structure of a control module provided in one embodiment of the present application.

[0046] It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present application. DETAILED DESCRIPTION

[0047] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0048] The flowcharts shown in the accompanying drawings are only examples and do not necessarily include all the contents and operations / steps, nor must they be executed in the order described. For example, some operations / steps may also be decomposed, combined or partially merged, so the actual execution order may change according to actual conditions.

[0049] It should be understood that, in order to facilitate the clear description of the technical solutions of the embodiments of the present invention, in the embodiments of the present invention, the words "first", "second", etc. are used to distinguish the same items or similar items with substantially the same functions and effects. Those skilled in the art can understand that the words "first", "second", etc. do not limit the quantity and execution order, and the words "first", "second", etc. do not necessarily limit the difference.

[0050] It should be understood that the terms used in this application specification are only for the purpose of describing specific embodiments and are not intended to limit the application. As used in this application specification and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an" and "the" are intended to include plural forms.

[0051] It should also be understood that the term “and / or” used in the specification and appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.

[0052] In conjunction with the accompanying drawings, some embodiments of the present application are described in detail below. In the absence of conflict, the following embodiments and features in the embodiments can be combined with each other.

[0053] With the growing global demand for sustainable energy, Building Integrated Photovoltaics (BIPV) technology has emerged and has become an important development direction in the future construction field. BIPV technology can not only provide the functions of traditional building materials, but also integrate photovoltaic power generation components into building structures to achieve energy self-sufficiency and reduce dependence on external power grids, thereby significantly reducing the operating costs and carbon emissions of buildings. However, the application of BIPV systems faces many challenges, one of the most prominent of which is the hot spot effect and performance degradation caused by shading.

[0054] In the built environment, shading problems are frequent and complex. Surrounding buildings, trees, antennas, chimneys, and even the structure of the building itself (such as the roof) can cause uneven lighting, causing some photovoltaic panels to fail to work effectively. This will not only reduce the overall power generation efficiency, but may also cause hot spot effects, endangering the safety of components and buildings. Although traditional photovoltaic optimizers (such as micro inverters and DC-DC optimizers) can solve performance problems to a certain extent, they have limited capabilities in component-level fault location, and the troubleshooting and maintenance costs are high. In addition, because BIPV components are embedded in the building structure, the difficulty of maintenance and replacement is significantly increased, and the system needs to minimize human intervention.

[0055] Therefore, there is an urgent need for a power optimization system for photovoltaic curtain wall cells to solve at least one of the above problems.

[0056] To solve the above problems, please refer to Figure 1 and Figure 2 , Figure 1 It is a structural schematic diagram of a cell power optimization system 10 for a photovoltaic curtain wall provided in one embodiment of the present application. Figure 2It is a structural schematic diagram of another cell power optimization system 10 for a photovoltaic curtain wall provided in one embodiment of the present application. It includes: a plurality of photovoltaic modules 1, each photovoltaic module 1 has a plurality of cells connected in series and / or in parallel; a sensor module 3, the sensor module 3 is arranged on the photovoltaic module 1; a control module 2, the control module 2 is electrically connected to each photovoltaic module 1 and the sensor module 3; a plurality of switch modules, the switch modules are connected between the cells of the photovoltaic modules; wherein the control module 2 includes a memory and a processor, the memory is used to store a computer program, the processor is used to execute the computer program and implement the steps of the cell power optimization method for a photovoltaic curtain wall provided in any embodiment of the present application as claimed in the claims when executing the computer program.

[0057] Specifically, the system integrates multiple photovoltaic modules 1, sensor modules 3, switch modules and control modules 2, and realizes fully automatic management from data acquisition to power optimization. This highly integrated design not only simplifies the system structure, but also improves the reliability and stability of the system. The sensor module 3 is set on each photovoltaic module 1, which can monitor the key parameters of the battery cell such as voltage, current, power and temperature in real time, and send these data to the control module 2. This real-time monitoring capability enables the system to respond to environmental changes in a timely manner to ensure that each component is always in the best working state. The control module 2 is electrically connected to each photovoltaic module 1 and the sensor module 3, and can accurately obtain the real-time measurement information of each component. The processor executes the computer program stored in the memory to realize the dynamic adjustment of the maximum power point of each component. This component-level optimization can effectively deal with local shading problems and improve the power generation efficiency of the overall system. By monitoring the working status of each component in real time, the system can quickly detect abnormal conditions of the component, such as voltage and current fluctuations, temperature abnormalities, etc. This fault diagnosis and positioning capability helps to carry out maintenance in a timely manner, reduce the losses caused by faults, and ensure the long-term stable operation of the system. Since the system can automatically adjust the maximum power point of each component, the need for manual intervention is reduced. Especially in BIPV systems, components are embedded in building structures, and traditional maintenance and replacement methods are very difficult. Automated optimization systems can significantly reduce maintenance costs and work difficulty. The system can adapt to different environmental conditions, whether it is static obstructions (such as buildings, trees, etc.) or dynamic obstructions (such as cloud shadows), it can be adjusted through real-time monitoring and optimization algorithms. This flexibility enables the system to maintain efficient operation in various complex environments.

[0058] At the same time, through the dynamic control of the switch module, rapid detour is achieved to reduce the loss of power generation efficiency caused by abnormal cells. The detour function can effectively avoid the negative impact of abnormal cells on the overall system and improve the reliability and safety of the system.

[0059] At the same time Figure 1 and 2, multiple photovoltaic modules 1 can be connected to one control module 2 respectively, or multiple photovoltaic modules 1 can be managed by one control module 2 at the same time. The embodiment of the present application does not limit this.

[0060] Since each photovoltaic module 1 and sensor module 3 can work independently and communicate with the control module 2, the system has good scalability. After adding new photovoltaic modules 1 and sensor modules 3, the system can continue to optimize management through simple configuration without large-scale transformation of the existing system. The memory of the control module 2 can record a large amount of historical data, which can be used to further analyze and optimize system performance. Through the accumulation and analysis of data, the long-term operation trend of the system can be discovered, providing a scientific basis for future improvements.

[0061] By monitoring the temperature of the cells in real time, the system can prevent the occurrence of hot spot effects and reduce safety risks caused by local overheating. In addition, accurate fault diagnosis and location capabilities can also help to quickly eliminate potential safety hazards and ensure the safe and reliable operation of the system. Since the system can detect and handle faults in a timely manner and reduce the need for manual intervention, maintenance costs are significantly reduced. This advantage is particularly evident for photovoltaic curtain wall systems in large buildings, which can effectively control operating costs.

[0062] In summary, the photovoltaic curtain wall cell power optimization system 10 not only significantly improves the system's power generation efficiency and operational stability through highly integrated design, real-time monitoring and feedback, precise component-level optimization, powerful fault diagnosis and positioning capabilities, and good adaptability and scalability, but also effectively reduces maintenance costs and the need for manual intervention, which is of great significance to promoting the application of BIPV technology in architectural design.

[0063] See also Figure 3 , Figure 3 FIG. 1 is a schematic flow chart of a method for optimizing the power of photovoltaic cells of a photovoltaic curtain wall provided in an embodiment of the present application. The method for optimizing the power of photovoltaic cells of a photovoltaic curtain wall can be performed as follows: Figure 1 to Figure 2 The control module of any one of the corresponding embodiments may be a micro control unit (MCU).

[0064] Specifically, Figure 3 As shown, the provided photovoltaic curtain wall cell power optimization method includes steps S101 to S104. The details are as follows:

[0065] Step S101. Obtain the cell structure information of each photovoltaic module, and generate monitoring information corresponding to each photovoltaic module according to the cell structure information; the monitoring information includes at least one or more of monitoring voltage, monitoring current, monitoring power and monitoring temperature.

[0066] Specifically, through pre-configuration or data input during installation, the detailed structural information of each photovoltaic module is obtained, including the number, layout, size, material properties, etc. of the cells. This information can be obtained through architectural drawings, technical parameters provided by the manufacturer, on-site measurements, etc. Based on this structural information, the initial monitoring information of each photovoltaic module is generated. The monitoring information includes at least one or more of monitoring voltage, monitoring current, monitoring power and monitoring temperature. This monitoring information can be used to evaluate the theoretical performance of photovoltaic modules under different lighting conditions. Through a comprehensive understanding of the module status: Through detailed structural information, the initial state and performance parameters of each photovoltaic module can be fully understood, providing basic data for subsequent optimization.

[0067] Personalized configuration: According to different structural information, personalized monitoring and optimization strategies can be customized for each PV module to improve the overall efficiency of the system.

[0068] Step S102. During the operation of the photovoltaic components, real-time measurement information sent by the sensor module corresponding to each photovoltaic component is obtained; the real-time measurement information includes at least one or more of real-time voltage, real-time current, real-time power and real-time temperature.

[0069] Specifically, by installing sensor modules on each photovoltaic module, these modules may include voltage sensors, current sensors, temperature sensors, etc., which are used to collect the working status data of the photovoltaic module in real time. The sensor module sends real-time measurement information regularly or continuously, including one or more of real-time voltage, real-time current, real-time power and real-time temperature. This information reflects the performance changes of the photovoltaic module in the actual working environment. Through real-time measurement information, the performance changes of the photovoltaic module can be discovered in time and various abnormal situations can be responded to quickly. The rich real-time data provides a reliable basis for subsequent analysis and optimization, and improves the accuracy and effectiveness of optimization.

[0070] Step S103: Generate a real-time monitoring result corresponding to each photovoltaic component according to the monitoring information and real-time measurement information corresponding to each photovoltaic component.

[0071] Specifically, the monitoring information generated in step S101 is compared and processed with the real-time measurement information obtained in step S102 to generate real-time monitoring results for each photovoltaic module. The real-time monitoring results include but are not limited to the current voltage, current, power and temperature status, as well as the deviation from the initial monitoring information. These results can be used to evaluate the current working status and performance of the photovoltaic module.

[0072] Real-time monitoring results can accurately assess the current performance of each PV module and promptly detect efficiency drops or potential failures. By comparing initial monitoring information with real-time measurement data, potential failures can be warned in advance, reducing system downtime.

[0073] Step S104: Optimize the maximum power information corresponding to each photovoltaic module according to the real-time monitoring result corresponding to each photovoltaic module, and complete the power optimization of the photovoltaic module.

[0074] Specifically, based on the real-time monitoring results, an algorithm (such as the MPPT algorithm, Maximum Power Point Tracking) is used to optimize the maximum power information of each photovoltaic module. The MPPT algorithm can dynamically adjust the working point of the photovoltaic module so that it always works at the maximum power point, thereby improving the power generation efficiency. The working state of the photovoltaic module is adjusted through the control module, such as adjusting the voltage, current and other parameters to achieve the tracking and optimization of the maximum power point (such as Figure 2 The maximum power of the PV modules with shadows is adjusted to 20% as shown. The maximum power of the PV modules without shadows can be adjusted to 95% or not according to actual needs).

[0075] In summary, this method can ensure that each photovoltaic module can generate the maximum power under various lighting conditions by optimizing the maximum power information in real time. By optimizing the working state, the adverse effects such as hot spot effect are reduced, and the service life of the photovoltaic module is extended. The system can automatically detect and optimize, reduce the frequency of manual inspection and maintenance, and reduce maintenance costs.

[0076] Through real-time monitoring and optimization, the photovoltaic curtain wall can generate electricity efficiently under various complex lighting conditions, improving the overall performance of the system. The system has a high degree of automation and can automatically detect, evaluate and optimize the working status of photovoltaic modules, reduce human intervention and improve management efficiency. By timely discovering and handling potential problems such as hot spot effects, the safety and reliability of the system are improved. At the same time, the troubleshooting and maintenance costs are reduced, the life of the modules is extended, and in the long run, the economy and sustainability of the system are improved.

[0077] In some embodiments, monitoring information corresponding to each photovoltaic module is generated based on the cell structure information, including: obtaining environmental information corresponding to each photovoltaic module; the environmental information includes at least ambient temperature and ambient light intensity; generating monitoring voltage, monitoring current, monitoring power and monitoring temperature corresponding to each photovoltaic module based on the ambient temperature, ambient light intensity and cell structure information.

[0078] By acquiring the environmental information corresponding to each photovoltaic module, the environmental information at least includes the ambient temperature and the ambient light intensity, and generating the monitoring voltage, monitoring current, monitoring power and monitoring temperature corresponding to each photovoltaic module according to the ambient temperature, ambient light intensity and the cell structure information.

[0079] By taking into account ambient temperature and light intensity, the performance of PV modules in actual working environments can be more comprehensively evaluated. The generated monitoring information can be personalized for the specific structure of each PV module, improving the accuracy and reliability of monitoring.

[0080] Exemplarily, the cell structure information includes at least one or more of the cell type, cell number, cell area, cell operating parameters and cell connection method; generating a monitoring voltage, a monitoring current, a monitoring power and a monitoring temperature corresponding to each photovoltaic module according to the ambient temperature, the ambient light intensity and the cell structure information, including: obtaining a reference open circuit voltage, a reference short circuit current, a reference light intensity and a reference temperature corresponding to the photovoltaic module according to the cell structure information; generating a monitoring voltage according to the reference open circuit voltage, the reference temperature and the ambient temperature; generating a monitoring current according to the reference short circuit current, the ambient light intensity and the reference light intensity; generating a monitoring power according to the monitoring voltage and the monitoring current; generating a monitoring temperature according to the ambient temperature, the ambient light intensity and the reference light intensity.

[0081] The cell structure information includes at least one or more of the cell type, cell number, cell area, cell operating parameters and cell connection method. According to the cell structure information, obtain the reference open circuit voltage, reference short circuit current, reference light intensity and reference temperature corresponding to the photovoltaic module. Generate a monitoring voltage according to the reference open circuit voltage, reference temperature and ambient temperature. Generate a monitoring current according to the reference short circuit current, ambient light intensity and reference light intensity. Generate a monitoring power according to the monitoring voltage and the monitoring current. Generate a monitoring temperature according to the ambient temperature, ambient light intensity and reference light intensity.

[0082] Through specific reference parameters and environmental information, the generated monitoring information is more accurate and can more accurately reflect the actual working status of the photovoltaic module. It takes into account the structural information of the cell type, quantity, area, etc., as well as the ambient temperature and light intensity, making the monitoring results more comprehensive and reliable.

[0083] It should be noted that, in some embodiments, generating a monitoring voltage according to a reference open circuit voltage, a reference temperature, and an ambient temperature includes: obtaining a voltage correction coefficient corresponding to the battery cell according to the battery cell structure information; generating a monitoring voltage according to the voltage correction coefficient, the reference open circuit voltage, the reference temperature, and the ambient temperature; and the expression of the monitoring voltage includes:

[0084] ;

[0085] in, To monitor the voltage, is the voltage correction factor, is the reference open circuit voltage, is the reference temperature, is the ambient temperature.

[0086] The voltage correction coefficient corresponding to the battery cell is obtained based on the battery cell structure information. The monitoring voltage is generated based on the voltage correction coefficient, reference open circuit voltage, reference temperature and ambient temperature. The voltage correction coefficient is used to compensate for changes in ambient temperature to ensure that the accuracy of the monitoring voltage is not affected by temperature. The monitoring voltage can be dynamically adjusted according to changes in ambient temperature to improve the adaptability and stability of the system.

[0087] It should be noted that, in some embodiments, the monitoring temperature is generated according to the ambient temperature, the ambient light intensity and the reference light intensity, including: obtaining the temperature correction coefficient corresponding to the battery cell according to the battery cell structure information; generating the monitoring temperature according to the temperature correction coefficient, the ambient temperature, the ambient light intensity and the reference light intensity; the expression of the monitoring temperature includes:

[0088] ;

[0089] in, To monitor the temperature, is the temperature correction coefficient, is the ambient light intensity, is the reference light intensity, is the ambient temperature.

[0090] The temperature correction coefficient is used to compensate for changes in ambient light intensity to ensure the accuracy of the monitored temperature. The monitored temperature can be dynamically adjusted according to changes in ambient temperature and light intensity to improve the environmental adaptability and reliability of the system.

[0091] In some embodiments, the real-time monitoring results include at least one or more of temperature monitoring results, current monitoring results, voltage monitoring results and power monitoring results; the maximum power information corresponding to the photovoltaic component is generated according to the real-time monitoring results corresponding to each photovoltaic component, including: parsing the maximum power information corresponding to the photovoltaic component, and obtaining the maximum voltage and maximum current corresponding to the maximum power point of the photovoltaic component; correcting the maximum voltage and maximum current according to the temperature monitoring results, current monitoring results, voltage monitoring results and power monitoring results; and optimizing the maximum power information corresponding to the photovoltaic component according to the corrected maximum voltage and maximum current.

[0092] The real-time monitoring results include at least one or more of the temperature monitoring results, the current monitoring results, the voltage monitoring results, and the power monitoring results. By parsing the maximum power information corresponding to the photovoltaic module, the maximum voltage and the maximum current corresponding to the maximum power point of the photovoltaic module are obtained. According to the temperature monitoring results, the current monitoring results, the voltage monitoring results, and the power monitoring results, the maximum voltage and the maximum current are corrected. According to the corrected maximum voltage and maximum current, the optimization of the maximum power information corresponding to the photovoltaic module is completed.

[0093] Furthermore, through real-time monitoring results, the actual working status of photovoltaic modules can be accurately evaluated to ensure that the optimization is based on current real data. The maximum voltage and maximum current are corrected in real time to ensure that photovoltaic modules always work in the optimal state and improve power generation efficiency. Real-time monitoring results can detect abnormal situations in time, reduce the occurrence of potential failures, and improve the safety of the system.

[0094] Exemplarily, the maximum voltage and maximum current are corrected according to the temperature monitoring results, current monitoring results, voltage monitoring results and power monitoring results, including: obtaining standard temperature, standard voltage, standard current and standard power according to the battery cell structure information; generating a first current correction value and a first voltage correction value according to the standard temperature and the temperature monitoring results; generating a second current correction value and a second voltage correction value according to the standard current and the current monitoring results; generating a third current correction value and a third voltage correction value according to the standard voltage and the voltage monitoring results; generating a fourth current correction value and a fourth voltage correction value according to the standard power and the power monitoring results; correcting the maximum current according to the first current correction value, the second current correction value, the third current correction value and the fourth current correction value; and correcting the maximum voltage according to the first voltage correction value, the second voltage correction value, the third voltage correction value and the fourth voltage correction value.

[0095] According to the cell structure information, the standard temperature, standard voltage, standard current and standard power are obtained. According to the standard temperature and the temperature monitoring results, the first current correction value and the first voltage correction value are generated. According to the standard current and the current monitoring results, the second current correction value and the second voltage correction value are generated. According to the standard voltage and the voltage monitoring results, the third current correction value and the third voltage correction value are generated. According to the standard power and the power monitoring results, the fourth current correction value and the fourth voltage correction value are generated. According to the first, second, third and fourth current correction values, the maximum current is comprehensively corrected. According to the first, second, third and fourth voltage correction values, the maximum voltage is comprehensively corrected. Then, the correction value is generated by the data of the four dimensions of temperature, current, voltage and power, so as to ensure that the correction of the maximum current and the maximum voltage is more comprehensive and accurate. The comparison between the real-time monitoring results and the standard parameters enables the correction value to be dynamically adjusted according to the environmental changes, thereby improving the adaptability and reliability of the system. The use of the comprehensive correction value can reduce the error caused by the correction of a single parameter and improve the accuracy of the maximum power point tracking. Through the corrected maximum voltage and maximum current, the photovoltaic module can always operate at the maximum power point in various environments, thereby improving the overall performance and power generation efficiency of the system.

[0096] In some embodiments, the cell power optimization system of the photovoltaic curtain wall also includes multiple switch modules, and the switch modules are connected between the cells of the photovoltaic module; before completing the power optimization of the photovoltaic module, it also includes: parsing the real-time monitoring results to obtain the abnormal cell position corresponding to the photovoltaic module; generating detour information based on the abnormal cell position and the cell structure information of the photovoltaic module; generating switch control information based on the detour information; and controlling each switch module to be turned on or off according to the switch control information, so that the photovoltaic module bypasses the abnormal cell to operate.

[0097] The cell power optimization system of the photovoltaic curtain wall also includes a plurality of switch modules, which are connected between the cells of the photovoltaic module. Before completing the power optimization of the photovoltaic module, the real-time monitoring results are analyzed to obtain the abnormal cell position corresponding to the photovoltaic module. According to the abnormal cell position and the cell structure information of the photovoltaic module, the detour information is generated. The detour information indicates how to bypass the abnormal cell through the switch module. The switch control information is generated according to the detour information, and the information is used to control the conduction or closing of each switch module. According to the switch control information, each switch module is controlled to be turned on or off respectively, so that the photovoltaic module bypasses the abnormal cell.

[0098] The real-time monitoring results can quickly identify the location of abnormal cells, and through the dynamic control of the switch module, rapid detours can be achieved to reduce the loss of power generation efficiency caused by abnormal cells. The detour function can effectively avoid the negative impact of abnormal cells on the overall system and improve the reliability and safety of the system. With the detour function, the system can continue to operate efficiently without immediate maintenance, reducing downtime and costs caused by maintenance.

[0099] Exemplarily, after completing the power optimization of the photovoltaic module, it also includes: obtaining the abnormality type corresponding to the abnormal cell position according to the real-time monitoring results; generating abnormality repair information according to the cell structure, the abnormal cell position and the abnormality type; sending the abnormal cell position, the abnormality type and the abnormality repair information to a preset maintenance terminal; after the maintenance terminal completes the maintenance of the photovoltaic module, updating the maximum power information and switch control information corresponding to the photovoltaic module.

[0100] After completing the power optimization of the photovoltaic module, the abnormal type corresponding to the abnormal cell position is obtained according to the real-time monitoring results. According to the cell structure, the abnormal cell position and the abnormal type, the abnormal repair information is generated. The abnormal cell position, the abnormal type and the abnormal repair information are sent to the preset maintenance terminal. After the maintenance terminal completes the maintenance of the photovoltaic module, the maximum power information and switch control information corresponding to the photovoltaic module are updated.

[0101] Real-time monitoring results and abnormal type information can be sent to the maintenance terminal in a timely manner to ensure that abnormal cells are repaired in time and reduce system downtime. The generated abnormal repair information provides maintenance personnel with specific repair guidance, improving maintenance efficiency and accuracy. After the maintenance is completed, the update of system information ensures the continued effectiveness of the optimization strategy and improves the overall performance of the system.

[0102] It should be noted that, in some embodiments, the abnormality type includes at least one of occlusion and performance degradation; abnormality repair information is generated according to the battery cell structure, abnormal battery cell position and abnormality type, including: if the abnormality type is occlusion, occlusion area information is generated according to the abnormal battery cell position, and occlusion clearing information is generated according to the occlusion area, so as to control the preset clearing device to perform occlusion clearing according to the occlusion clearing information; if the abnormality type is performance degradation, component replacement is generated according to the abnormal battery cell position.

[0103] The abnormality type includes at least one of shading and performance degradation. According to the location of the abnormal battery cell, the shading area information is generated. According to the shading area information, the shading clearing information is generated. Through the shading clearing information, the preset clearing device is controlled to perform shading clearing. According to the location of the abnormal battery cell, the component replacement information is generated. Through real-time monitoring results, the location of the abnormal battery cell can be accurately identified to ensure the pertinence and effectiveness of the repair measures. The system can handle a variety of abnormality types, including shading and performance degradation, which improves the adaptability and reliability of the system. The generation and transmission of abnormal repair information can quickly guide maintenance personnel or dedicated maintenance equipment to perform repairs, reduce system downtime, and improve power generation efficiency. Specific shading area information and component replacement information provide clear guidance for maintenance personnel and improve the accuracy and efficiency of maintenance.

[0104] The method provided in this application can ensure that each component can operate at the highest efficiency by monitoring the voltage, current, power and temperature information of each photovoltaic module in real time and optimizing the maximum power information of the photovoltaic module accordingly, thereby significantly improving the power generation efficiency of the entire photovoltaic curtain wall system. In particular, in the case of uneven illumination, the optimization method can minimize power loss.

[0105] Compared with traditional PV optimizers, this method can diagnose and locate faults at a more refined level, that is, at the module level. This not only helps to find and solve problems in a timely manner, but also reduces the time and cost consumption during troubleshooting and maintenance. Since this method can automatically adjust the maximum power point tracking (MPPT) of PV modules through optimization algorithms, the need for manual intervention in daily operation is greatly reduced. This is especially advantageous considering that BIPV modules are embedded in building structures, which makes traditional maintenance and replacement very difficult. This method can adapt to complex and changing shading conditions in building environments, whether it is static shading objects such as surrounding buildings, trees, antennas, chimneys, or shading factors that change over time (such as cloud shadows). It adjusts the optimization strategy by continuously monitoring real-time measurement information to ensure that good performance can be maintained in different environments. By performing more refined monitoring and optimization of PV modules, this method can help operators more accurately judge the working status of modules and detect potential problems in a timely manner, so as to take measures in advance to prevent failures, making maintenance work more targeted and efficient. With the help of real-time monitoring and optimization at the module level, the PV curtain wall system can maintain high stability and reliability in the face of various environmental challenges, which is crucial to ensure long-term efficient operation.

[0106] In summary, this photovoltaic curtain wall cell power optimization method not only solves the problem of reduced power generation efficiency caused by uneven lighting, but also improves the overall performance and maintenance efficiency of the system through accurate fault diagnosis and positioning, reducing manual intervention, etc., which is of great significance for promoting the widespread application of BIPV technology in architectural design.

[0107] See also Figure 4 As shown, Figure 4 1 is a schematic diagram of the structure of the photovoltaic curtain wall cell power optimization device 200 provided in the embodiment of the present application. The photovoltaic curtain wall cell power optimization device 200 is used to execute the steps of the photovoltaic curtain wall cell power optimization method shown in the above embodiments. The photovoltaic curtain wall cell power optimization device 200 can be a single server or a server cluster, or the photovoltaic curtain wall cell power optimization device 200 can be a terminal, which can be a handheld terminal, a laptop computer, a wearable device or a robot, etc.

[0108] like Figure 4 As shown, the photovoltaic curtain wall cell power optimization device 200 includes:

[0109] The information acquisition unit 201 is used to acquire the cell structure information of each photovoltaic module, and generate the monitoring information corresponding to each photovoltaic module according to the cell structure information; the monitoring information includes at least one or more of the monitoring voltage, the monitoring current, the monitoring power and the monitoring temperature;

[0110] The measurement acquisition unit 202 is used to acquire real-time measurement information sent by the sensor module corresponding to each photovoltaic component during the operation of the photovoltaic component; the real-time measurement information includes at least one or more of the real-time voltage, real-time current, real-time power and real-time temperature;

[0111] A result generating unit 203, used to generate a real-time monitoring result corresponding to each photovoltaic component according to the monitoring information and real-time measurement information corresponding to each photovoltaic component;

[0112] The optimization completion unit 204 is used to optimize the maximum power information corresponding to the photovoltaic component according to the real-time monitoring results corresponding to each photovoltaic component, analyze the real-time monitoring results, and obtain the abnormal cell position corresponding to the photovoltaic component; generate detour information according to the abnormal cell position and the cell structure information of the photovoltaic component; generate switch control information according to the detour information; control each of the switch modules to be turned on or off according to the switch control information, so that the photovoltaic component bypasses the abnormal cell to operate; and complete the power optimization of the photovoltaic component.

[0113] It should be noted that technical personnel in the relevant field can clearly understand that, for the convenience and conciseness of description, the specific working processes of the cell power optimization device and each module of the photovoltaic curtain wall described above can refer to the corresponding processes in the embodiments of the cell power optimization method for the photovoltaic curtain wall described in the above embodiments, and will not be repeated here.

[0114] The above photovoltaic curtain wall cell power optimization method can be implemented in the form of a computer program. The computer program can be used in Figure 4 Run on the device shown.

[0115] See also Figure 5 , Figure 5 : is a schematic block diagram of the structure of a control module provided in an embodiment of the present application. The control module includes a processor, a memory and a network interface connected via a device bus, wherein the memory may include a storage medium and an internal memory.

[0116] The storage medium can store an operating device and a computer program. The computer program includes program instructions, and when the program instructions are executed, the processor can execute any method for optimizing the power of photovoltaic curtain wall cells.

[0117] The processor is used to provide computing and control capabilities and support the operation of the entire control module.

[0118] The internal memory provides an environment for the operation of the computer program in the non-volatile storage medium. When the computer program is executed by the processor, the processor can execute any method for optimizing the power of photovoltaic curtain wall cells.

[0119] The network interface is used for network communication, such as sending assigned tasks, etc. Those skilled in the art will appreciate that Figure 5 The structure shown in the figure is only a block diagram of a partial structure related to the scheme of the present application, and does not constitute a limitation on the terminal to which the scheme of the present application is applied. The specific control module may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0120] It should be understood that the processor may be a central processing unit (CPU), and the processor may also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. Among them, the general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0121] In one embodiment, the processor is used to run a computer program stored in the memory to implement the following steps:

[0122] Obtaining the cell structure information of each photovoltaic module, and generating monitoring information corresponding to each photovoltaic module according to the cell structure information; the monitoring information includes at least one or more of monitoring voltage, monitoring current, monitoring power and monitoring temperature;

[0123] During the operation of the photovoltaic components, real-time measurement information sent by the sensor module corresponding to each photovoltaic component is obtained; the real-time measurement information includes at least one or more of real-time voltage, real-time current, real-time power and real-time temperature;

[0124] Generate a real-time monitoring result corresponding to each photovoltaic component according to the monitoring information and real-time measurement information corresponding to each photovoltaic component;

[0125] The maximum power information corresponding to each photovoltaic module is optimized according to the real-time monitoring results corresponding to each photovoltaic module, and the power optimization of the photovoltaic module is completed.

[0126] In some embodiments, monitoring information corresponding to each photovoltaic module is generated based on the cell structure information, including: obtaining environmental information corresponding to each photovoltaic module; the environmental information includes at least ambient temperature and ambient light intensity; generating monitoring voltage, monitoring current, monitoring power and monitoring temperature corresponding to each photovoltaic module based on the ambient temperature, ambient light intensity and cell structure information.

[0127] Exemplarily, the cell structure information includes at least one or more of the cell type, cell number, cell area, cell operating parameters and cell connection method; generating a monitoring voltage, a monitoring current, a monitoring power and a monitoring temperature corresponding to each photovoltaic module according to the ambient temperature, the ambient light intensity and the cell structure information, including: obtaining a reference open circuit voltage, a reference short circuit current, a reference light intensity and a reference temperature corresponding to the photovoltaic module according to the cell structure information; generating a monitoring voltage according to the reference open circuit voltage, the reference temperature and the ambient temperature; generating a monitoring current according to the reference short circuit current, the ambient light intensity and the reference light intensity; generating a monitoring power according to the monitoring voltage and the monitoring current; generating a monitoring temperature according to the ambient temperature, the ambient light intensity and the reference light intensity.

[0128] It should be noted that, in some embodiments, generating a monitoring voltage according to a reference open circuit voltage, a reference temperature, and an ambient temperature includes: obtaining a voltage correction coefficient corresponding to the battery cell according to the battery cell structure information; generating a monitoring voltage according to the voltage correction coefficient, the reference open circuit voltage, the reference temperature, and the ambient temperature; and the expression of the monitoring voltage includes:

[0129] ;

[0130] in, To monitor the voltage, is the voltage correction factor, is the reference open circuit voltage, is the reference temperature, is the ambient temperature.

[0131] It should be noted that, in some embodiments, the monitoring temperature is generated according to the ambient temperature, the ambient light intensity and the reference light intensity, including: obtaining the temperature correction coefficient corresponding to the battery cell according to the battery cell structure information; generating the monitoring temperature according to the temperature correction coefficient, the ambient temperature, the ambient light intensity and the reference light intensity; the expression of the monitoring temperature includes:

[0132] ;

[0133] in, To monitor the temperature, is the temperature correction coefficient, is the ambient light intensity, is the reference light intensity, is the ambient temperature.

[0134] In some embodiments, the real-time monitoring results include at least one or more of temperature monitoring results, current monitoring results, voltage monitoring results and power monitoring results; the maximum power information corresponding to the photovoltaic component is generated according to the real-time monitoring results corresponding to each photovoltaic component, including: parsing the maximum power information corresponding to the photovoltaic component, and obtaining the maximum voltage and maximum current corresponding to the maximum power point of the photovoltaic component; correcting the maximum voltage and maximum current according to the temperature monitoring results, current monitoring results, voltage monitoring results and power monitoring results; and optimizing the maximum power information corresponding to the photovoltaic component according to the corrected maximum voltage and maximum current.

[0135] Exemplarily, the maximum voltage and maximum current are corrected according to the temperature monitoring results, current monitoring results, voltage monitoring results and power monitoring results, including: obtaining standard temperature, standard voltage, standard current and standard power according to the battery cell structure information; generating a first current correction value and a first voltage correction value according to the standard temperature and the temperature monitoring results; generating a second current correction value and a second voltage correction value according to the standard current and the current monitoring results; generating a third current correction value and a third voltage correction value according to the standard voltage and the voltage monitoring results; generating a fourth current correction value and a fourth voltage correction value according to the standard power and the power monitoring results; correcting the maximum current according to the first current correction value, the second current correction value, the third current correction value and the fourth current correction value; and correcting the maximum voltage according to the first voltage correction value, the second voltage correction value, the third voltage correction value and the fourth voltage correction value.

[0136] In some embodiments, the cell power optimization system of the photovoltaic curtain wall also includes multiple switch modules, and the switch modules are connected between the cells of the photovoltaic module; before completing the power optimization of the photovoltaic module, it also includes: parsing the real-time monitoring results to obtain the abnormal cell position corresponding to the photovoltaic module; generating detour information based on the abnormal cell position and the cell structure information of the photovoltaic module; generating switch control information based on the detour information; and controlling each switch module to be turned on or off according to the switch control information, so that the photovoltaic module bypasses the abnormal cell to operate.

[0137] Exemplarily, after completing the power optimization of the photovoltaic module, it also includes: obtaining the abnormality type corresponding to the abnormal cell position according to the real-time monitoring results; generating abnormality repair information according to the cell structure, the abnormal cell position and the abnormality type; sending the abnormal cell position, the abnormality type and the abnormality repair information to a preset maintenance terminal; after the maintenance terminal completes the maintenance of the photovoltaic module, updating the maximum power information and switch control information corresponding to the photovoltaic module.

[0138] It should be noted that, in some embodiments, the abnormality type includes at least any one of occlusion and performance degradation; abnormality repair information is generated according to the cell structure, abnormal cell position and abnormality type, including: if the abnormality type is occlusion, occlusion area information is generated according to the abnormal cell position, and occlusion clearing information is generated according to the occlusion area, so as to control the preset clearing device to perform occlusion clearing according to the occlusion clearing information; if the abnormality type is performance degradation, component replacement information is generated according to the abnormal cell position, so as to control the preset component replacement device to replace the photovoltaic component according to the component replacement information.

[0139] The present application also provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, the processor implements the steps of the photovoltaic curtain wall cell power optimization method as described in the first aspect above.

[0140] The computer-readable storage medium may be an internal storage unit of the control module described in the above embodiment, such as a hard disk or memory of the control module. The computer-readable storage medium may also be an external storage device of the control module, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc. equipped on the control module.

[0141] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of various equivalent modifications or replacements within the technical scope disclosed in the present application, and these modifications or replacements should be included in the protection scope of the present application. Therefore, the protection scope of the present application shall be based on the protection scope of the claims.

Claims

1. A method for optimizing the power of photovoltaic cells of a curtain wall, characterized in that: A control module for a cell power optimization system applied to a photovoltaic curtain wall, wherein the cell power optimization system further comprises a plurality of photovoltaic modules, a sensor module disposed on the photovoltaic modules, and a plurality of switch modules connected between the cells of the photovoltaic modules; the method comprises: Acquire the cell structure information of each photovoltaic module, and generate monitoring information corresponding to each photovoltaic module according to the cell structure information; the monitoring information includes at least one or more of monitoring voltage, monitoring current, monitoring power and monitoring temperature; During the operation of the photovoltaic components, real-time measurement information sent by the sensor module corresponding to each photovoltaic component is obtained; the real-time measurement information includes at least one or more of real-time voltage, real-time current, real-time power and real-time temperature; Generate a real-time monitoring result corresponding to each photovoltaic component according to the monitoring information and the real-time measurement information corresponding to each photovoltaic component; According to the real-time monitoring results corresponding to each photovoltaic component, the maximum power information corresponding to the photovoltaic component is optimized, the real-time monitoring results are analyzed, and the abnormal cell position corresponding to the photovoltaic component is obtained; according to the abnormal cell position and the cell structure information of the photovoltaic component, detour information is generated; according to the detour information, switch control information is generated; according to the switch control information, each switch module is controlled to be turned on or off, so that the photovoltaic component bypasses the abnormal cell to operate; and the power optimization of the photovoltaic component is completed.

2. The method according to claim 1, characterized in that: The generating of monitoring information corresponding to each photovoltaic assembly according to the cell structure information includes: Acquire environmental information corresponding to each photovoltaic module; the environmental information at least includes ambient temperature and ambient light intensity; The monitoring voltage, monitoring current, monitoring power and monitoring temperature corresponding to each photovoltaic component are generated according to the ambient temperature, ambient light intensity and cell structure information.

3. The method according to claim 2, characterized in that The cell structure information includes at least one or more of the cell type, cell number, cell area, cell operating parameters and cell connection mode; the monitoring voltage, monitoring current, monitoring power and monitoring temperature corresponding to each photovoltaic module are generated according to the ambient temperature, ambient light intensity and cell structure information, including: Acquire a reference open circuit voltage, a reference short circuit current, a reference light intensity and a reference temperature corresponding to the photovoltaic module according to the cell structure information; Generate the monitoring voltage according to the reference open circuit voltage, reference temperature, and ambient temperature; Generate the monitoring current according to the reference short-circuit current, the ambient light intensity and the reference light intensity; generating the monitoring power according to the monitoring voltage and the monitoring current; The monitoring temperature is generated according to the ambient temperature, ambient light intensity and reference light intensity.

4. The method according to claim 3, characterized in that The step of generating the monitoring voltage according to the reference open circuit voltage, the reference temperature, and the ambient temperature includes: Acquire a voltage correction coefficient corresponding to the battery cell according to the battery cell structure information; The monitoring voltage is generated according to the voltage correction coefficient, the reference open circuit voltage, the reference temperature, and the ambient temperature; the expression of the monitoring voltage includes: ; in, is the monitoring voltage, is the voltage correction factor, is the reference open circuit voltage, is the reference temperature, is the ambient temperature.

5. The method according to claim 3, characterized in that: The step of generating the monitoring temperature according to the ambient temperature, the ambient light intensity and the reference light intensity comprises: Acquire a temperature correction coefficient corresponding to the battery cell according to the battery cell structure information; The monitoring temperature is generated according to the temperature correction coefficient, the ambient temperature, the ambient light intensity and the reference light intensity; the expression of the monitoring temperature includes: ; in, is the monitoring temperature, is the temperature correction coefficient, is the ambient light intensity, is the reference light intensity, is the ambient temperature.

6. The method according to claim 1, characterized in that The real-time monitoring result includes at least one or more of a temperature monitoring result, a current monitoring result, a voltage monitoring result, and a power monitoring result; and generating the maximum power information corresponding to each photovoltaic component according to the real-time monitoring result corresponding to each photovoltaic component includes: Analyze the maximum power information corresponding to the photovoltaic module, and obtain the maximum voltage and maximum current corresponding to the maximum power point of the photovoltaic module; Correcting the maximum voltage and the maximum current according to the temperature monitoring result, the current monitoring result, the voltage monitoring result and the power monitoring result; The maximum power information corresponding to the photovoltaic component is optimized according to the corrected maximum voltage and maximum current.

7. The method according to claim 6, characterized in that The correcting the maximum voltage and the maximum current according to the temperature monitoring result, the current monitoring result, the voltage monitoring result and the power monitoring result includes: Acquire standard temperature, standard voltage, standard current and standard power according to the battery cell structure information; generating a first current correction value and a first voltage correction value according to the standard temperature and the temperature monitoring result; generating a second current correction value and a second voltage correction value according to the standard current and the current monitoring result; generating a third current correction value and a third voltage correction value according to the standard voltage and the voltage monitoring result; generating a fourth current correction value and a fourth voltage correction value according to the standard power and the power monitoring result; Correcting the maximum current according to the first current correction value, the second current correction value, the third current correction value, and the fourth current correction value; The maximum voltage is corrected according to the first voltage correction value, the second voltage correction value, the third voltage correction value, and the fourth voltage correction value.

8. The method according to claim 1, characterized in that: After the power optimization of the photovoltaic module is completed, the method further includes: Acquire the abnormality type corresponding to the abnormal battery cell position according to the real-time monitoring result; Generate abnormality repair information according to the battery cell structure, the abnormal battery cell position and the abnormality type; Sending the abnormal battery cell position, abnormality type and abnormality repair information to a preset maintenance terminal; After the maintenance terminal completes maintenance of the photovoltaic assembly, the maximum power information and switch control information corresponding to the photovoltaic assembly are updated.

9. The method according to claim 8, characterized in that The abnormality type includes at least one of shading and performance degradation; the generating of abnormality repair information according to the cell structure, the abnormal cell position and the abnormality type includes: If the abnormality type is occlusion, occlusion area information is generated according to the abnormal battery cell position, and occlusion clearing information is generated according to the occlusion area, so as to control a preset clearing device to perform occlusion clearing according to the occlusion clearing information; If the abnormality type is performance degradation, component replacement information is generated according to the abnormal cell position, so as to control a preset component replacement device to replace the photovoltaic component according to the component replacement information.

10. A battery cell power optimization device, characterized in that: A control module for a cell power optimization system applied to a photovoltaic curtain wall, wherein the cell power optimization system further comprises a plurality of photovoltaic modules, a sensor module disposed on the photovoltaic modules, and a plurality of switch modules connected between the cells of the photovoltaic modules; the device comprises: An information acquisition unit, used to acquire the cell structure information of each photovoltaic module, and generate monitoring information corresponding to each photovoltaic module according to the cell structure information; the monitoring information includes at least one or more of monitoring voltage, monitoring current, monitoring power and monitoring temperature; A measurement acquisition unit, used to acquire real-time measurement information sent by the sensor module corresponding to each photovoltaic component during the operation of the photovoltaic component; the real-time measurement information includes at least one or more of real-time voltage, real-time current, real-time power and real-time temperature; A result generating unit, configured to generate a real-time monitoring result corresponding to each photovoltaic component according to the monitoring information and the real-time measurement information corresponding to each photovoltaic component; The optimization completion unit is used to optimize the maximum power information corresponding to the photovoltaic assembly according to the real-time monitoring results corresponding to each photovoltaic assembly, analyze the real-time monitoring results, and obtain the abnormal battery cell position corresponding to the photovoltaic assembly; generate detour information according to the abnormal battery cell position and the battery cell structure information of the photovoltaic assembly; generate switch control information according to the detour information; control each switch module to be turned on or off according to the switch control information, so that the photovoltaic assembly bypasses the abnormal battery cell to operate; and complete the power optimization of the photovoltaic assembly.

11. A photovoltaic curtain wall cell power optimization system, characterized in that: include: A plurality of photovoltaic modules, each of which has a plurality of cells connected in series and / or in parallel; A sensor module, wherein the sensor module is disposed on the photovoltaic assembly; A control module, the control module is electrically connected to each of the photovoltaic components and the sensor module; A plurality of switch modules, wherein the switch modules are connected between the cells of the photovoltaic assembly; The control module comprises a memory and a processor, wherein the memory is used to store a computer program, and the processor is used to execute the computer program and implement the method according to any one of claims 1 to 9 when executing the computer program.

12. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, which, when executed by a processor, causes the processor to implement the method according to any one of claims 1 to 9.

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