A life estimation system for damaged solar array power system

Abstract

The present invention relates to the technical field of power supply life assessment, and specifically to a life estimation system for a damaged solar cell array power supply system, comprising: a damaged unit position data acquisition module: determining the position and damage degree of each damaged cell based on photoelectric conversion efficiency data, and constructing a damage mapping diagram of the cell array; a damaged unit association analysis module: establishing a mutual influence model between the damaged cell and the adjacent cell, and outputting a comprehensive influence coefficient; a global life impact assessment module: calculating the remaining life of the solar cell array power supply system based on the comprehensive influence coefficient output by the damaged unit association analysis module, and providing a performance degradation curve; a fault warning module: setting a life threshold, and generating a fault warning to prompt maintenance personnel to replace it. The present invention quantifies the influence of the damaged cell on the entire cell array according to its specific position, and outputs a comprehensive influence coefficient, so that the overall performance degradation of the cell array can be predicted.

Description

Technical Field

[0001] The invention relates to the technical field of power supply life assessment, and in particular to a life estimation system for a damaged solar cell array power supply system. Background Art

[0002] As an important part of renewable energy, solar power generation systems have been widely used in residential, commercial and industrial fields. As the core component of solar power generation systems, solar cell arrays are mainly composed of multiple photovoltaic cell units, and their performance directly affects the output efficiency and service life of the entire power generation system. However, during the long-term use of solar cell arrays, affected by various factors (such as temperature fluctuations, changes in radiation intensity, physical damage, etc.), the cell units may be damaged or fail, resulting in a decrease in system power output, which may seriously affect the stability and life of the entire system.

[0003] At present, there have been some research and technical applications for damage assessment and life prediction of solar cell arrays. Traditional solar cell array life estimation methods are usually based on static analysis, mainly relying on the decline trend of the overall performance of the cell array, and lacking dynamic analysis of detailed factors such as the location of damaged cells and the impact of adjacent cells. Such methods often cannot accurately capture the specific impact of a single or multiple damaged cells in the cell array on the performance of the entire cell array, so it is difficult to accurately predict the remaining life of the cell array, and it is easy to produce large errors in practical applications.

[0004] Some advanced technologies use monitoring systems based on changes in cell power output to evaluate the health of battery cells. However, most of these methods ignore the mutual influence between damaged cells and the linkage effect of adjacent battery cells. Since the battery cells in the battery array are usually connected in series or parallel, damage to a single battery cell may cause temperature imbalance, current attenuation and other problems, thereby affecting adjacent battery cells and further exacerbating the performance degradation of the entire array. Summary of the invention

[0005] The invention provides a life estimation system for a damaged solar cell array power supply system.

[0006] A system for estimating the life of a damaged solar array power system, comprising:

[0007] Damaged unit location data acquisition module: Based on the photovoltaic power generation monitoring system, the photoelectric conversion efficiency of each battery unit is obtained, and the location (obtained based on the number) and damage degree of each damaged battery unit are determined based on the photoelectric conversion efficiency data, and a damage map of the battery array is constructed;

[0008] Damaged cell association analysis module: Based on the damage map of the battery array, the comprehensive performance degradation relationship between the damaged battery cell and the adjacent battery cells is analyzed through the position association algorithm. Based on the performance degradation relationship, combined with the thermal imbalance between the damaged battery cell and the adjacent battery cell and the power output loss of the adjacent battery cell, a mutual influence model between the damaged battery cell and the adjacent battery cell is established, and the comprehensive influence coefficient is output;

[0009] Global life impact assessment module: Based on the comprehensive impact coefficient output by the damaged cell association analysis module, it predicts the impact of damaged battery cells on the life of the entire solar array power system, calculates the remaining life of the solar array power system, and gives a performance degradation curve;

[0010] Fault warning module: According to the calculated remaining life and performance degradation curve of the solar array power system, the life threshold is set and a fault warning is generated to prompt maintenance personnel to replace it.

[0011] Optionally, the damaged unit position data acquisition module specifically includes:

[0012] Photoelectric conversion efficiency calculation unit: The output voltage and current data of each battery unit are collected through the photovoltaic power generation monitoring system to calculate the photoelectric conversion efficiency of each battery unit: ,in, is the actual output power of the battery cell, is the solar radiation power received by the battery cell, is the photoelectric conversion efficiency;

[0013] Damage detection and positioning unit: Based on the difference analysis of historical data and current data of photoelectric conversion efficiency, the sliding window average method is used to identify battery cells below the preset threshold, determine them as damaged cells, and locate the position of the damaged cells according to the numbering rules of the battery array;

[0014] Damage degree assessment unit: Based on the decrease in photoelectric conversion efficiency The damage degree of the damaged battery cell is quantified by the duration T, and a damage degree score D is obtained, which is graded based on the score, including mild, moderate, and severe.

[0015] Damage map generation unit: associates the location number of the damaged battery cell with the damage degree information to construct a damage map of the solar cell array.

[0016] Optionally, the analyzing the comprehensive performance degradation relationship between the damaged battery cell and the adjacent battery cells by the position association algorithm specifically includes:

[0017] Construct an adjacency matrix A to represent the spatial connection relationship between each battery cell in the battery array, where:

[0018] , combined with damaged battery cells The degree of damage And the adjacency relationship A, calculate the comprehensive performance degradation factor of the adjacent battery cells :

[0019] ,in, It represents the comprehensive performance degradation factor of damaged battery cell i on adjacent battery cell j, including direct impact and indirect impact of adjacent cells. The coordinates of i are , Damage to battery cells The injury severity score, is the damage score of the neighboring battery cell j (calculated in accordance with the damage score of the damaged battery cell), is the adjacency matrix, describing whether the damaged battery cell i and the neighboring cell j are adjacent. is the direct impact weight coefficient, which indicates the importance of the direct impact of damaged battery cell i on adjacent battery cell j. is the neighboring cumulative influence weight coefficient, which is used to adjust the importance of the indirect influence of neighboring units on the target unit.

[0020] Optionally, the thermal imbalance between the damaged battery cell and the adjacent battery cell is collected by a temperature sensor, and the power output loss of the adjacent battery cell is calculated by the power output difference before and after the damage. Based on the thermal imbalance and power output loss, the thermal impact factor is calculated. and power loss factor :

[0021] Thermal impact factor: ,in, To reduce the temperature difference between the damaged battery cell and the adjacent battery cell, is the maximum allowable temperature difference set;

[0022] Power loss factor: ,in, is the power loss of the adjacent unit, is the base power output of the unit.

[0023] Optionally, the power loss of the neighboring unit ,in, is the power loss of the neighboring battery cell j due to the influence of the damaged battery cell i, is the actual power output of neighboring battery cell j in the presence of damaged cell i, is the reference power output of the adjacent battery cell j under normal working conditions.

[0024] Optionally, the construction of the mutual influence model is based on the comprehensive performance degradation influencing factor , thermal impact factor and power loss factor , calculate the comprehensive influence coefficient of each unit :

[0025] ,in, is the weight coefficient, which is used to adjust the contribution of different factors to the comprehensive impact coefficient.

[0026] Optionally, the global life impact assessment module specifically includes:

[0027] Recession model establishment: based on comprehensive impact coefficient , combined with the overall performance of the solar array, a power system power degradation model is constructed, taking into account the damage to the battery unit The impact on the overall power output of the battery array, and changes in the degradation rate;

[0028] Remaining life calculation: Calculate the remaining life based on the power system degradation model , remaining life The calculation is done by solving the time when the power system decays to a predetermined minimum lifetime power threshold.

[0029] Optionally, the power system degradation model is expressed as:

[0030] ,in, is the power output of the power system at time t, is the initial power output of the power system, is the comprehensive influence coefficient of damaged unit i on adjacent unit j, and t is the time.

[0031] Optionally, the remaining life ,in, is the initial power, is the predetermined minimum lifetime power threshold.

[0032] Beneficial effects of the present invention:

[0033] The present invention captures the propagation effect of damaged cells on adjacent battery cells and the performance degradation of the entire battery array by constructing a damage map of the battery array, and proposes a damage impact assessment method based on a position association algorithm by combining multi-dimensional data such as thermal imbalance, power output loss, and environmental factors of the damaged cells. The method can quantify the impact of the damaged cells on the entire battery array according to their specific locations, and output a comprehensive impact coefficient, so that the overall performance degradation of the battery array can be accurately predicted. The damage association model significantly improves the accuracy of damage prediction and has stronger adaptability and accuracy than traditional methods.

[0034] The present invention introduces multiple influencing factors such as thermal imbalance and power loss on the basis of traditional life prediction methods, and dynamically predicts the life of the battery array by combining these factors with a comprehensive influencing coefficient. Based on the decay rate model, the remaining life of the battery array can be accurately calculated according to the impact of different damaged cells on adjacent battery cells. This multi-dimensional analysis method can better reflect the complex decay laws of the battery array in actual use than a single environment or power loss model, greatly improving the reliability and accuracy of life estimation.

[0035] The fault warning module proposed in the present invention calculates the remaining life of the battery array in real time and generates a performance degradation curve, providing maintenance personnel with a data-based scientific decision-making basis. Combined with the life threshold setting, it can issue fault warning prompts in advance to help operation and maintenance personnel replace the battery array when it is about to reach the predetermined life or has significant performance degradation. This improves the operating efficiency of the battery array, reduces downtime, optimizes the allocation of maintenance resources, and significantly reduces operation and maintenance costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only for the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0037] Figure 1 A schematic diagram of a system module according to an embodiment of the present invention;

[0038] Figure 2 Schematic diagram of a damaged unit position data acquisition module according to an embodiment of the present invention. DETAILED DESCRIPTION

[0039] The present invention is described in detail below in conjunction with the accompanying drawings and specific embodiments. At the same time, it is explained here that in order to make the embodiments more detailed, the following embodiments are the best and preferred embodiments, and those skilled in the art may also adopt other alternatives to implement some known technologies; and the accompanying drawings are only for more specific description of the embodiments, and are not intended to specifically limit the present invention.

[0040] It should be noted that the references to "one embodiment", "embodiment", "exemplary embodiments", "some embodiments" and the like in the specification indicate that the embodiments described may include specific features, structures or characteristics, but not every embodiment may include the specific features, structures or characteristics. In addition, when a specific feature, structure or characteristic is described in conjunction with an embodiment, it should be within the knowledge of a person skilled in the art to implement such feature, structure or characteristic in conjunction with other embodiments (whether or not explicitly described).

[0041] In general, a term can be understood, at least in part, from its use in context. For example, depending, at least in part, on the context, the term "one or more" as used herein can be used to describe any feature, structure, or characteristic in the singular sense, or can be used to describe a combination of features, structures, or characteristics in the plural sense. Additionally, the term "based on" can be understood as not necessarily intended to convey an exclusive set of factors, but can instead, depending, at least in part, on the context, allow for the presence of other factors that are not necessarily explicitly described.

[0042] like Figure 1-Figure 2 As shown, a damaged solar cell array power system life estimation system includes:

[0043] Damaged unit location data acquisition module: Based on the photovoltaic power generation monitoring system, the photoelectric conversion efficiency of each battery unit is obtained, and the location (obtained based on the number) and damage degree of each damaged battery unit are determined based on the photoelectric conversion efficiency data, and a damage map of the battery array is constructed;

[0044] Damaged cell association analysis module: Based on the damage map of the battery array, the comprehensive performance degradation relationship between the damaged battery cell and the adjacent battery cells is analyzed through the position association algorithm. Based on the performance degradation relationship, combined with the thermal imbalance between the damaged battery cell and the adjacent battery cell and the power output loss of the adjacent battery cell, a mutual influence model between the damaged battery cell and the adjacent battery cell is established, and the comprehensive influence coefficient is output;

[0045] Global life impact assessment module: Based on the comprehensive impact coefficient output by the damaged cell association analysis module, it predicts the impact of damaged battery cells on the life of the entire solar array power system, calculates the remaining life of the solar array power system, and gives a performance degradation curve;

[0046] Fault warning module: According to the calculated remaining life and performance degradation curve of the solar array power system, the life threshold is set and a fault warning is generated to prompt maintenance personnel to replace it.

[0047] A damaged battery cell will have a significant impact on adjacent battery cells, as shown in the following:

[0048] Power loss: A damaged unit increases the power loss of adjacent units, especially when a local hot spot effect occurs, the adjacent units may be damaged due to overheating; in a parallel connection, a damaged unit may cause circuit imbalance, increase the load of adjacent units, and thus accelerate aging or damage; a damaged unit may cause a local temperature increase, and the adjacent units are affected by heat conduction and their efficiency decreases.

[0049] Neighboring battery cells refer to battery cells that are physically close to the damaged cell. These neighboring cells are interconnected in the battery array and within the range affected by the damaged cell. The thermal imbalance effect caused by the damaged cell will attenuate the impact on the surrounding cells. Therefore, it is defined that battery cells within 3 cells from the damaged cell will be significantly affected, that is, the neighboring battery cells.

[0050] The damaged unit location data acquisition module specifically includes:

[0051] Photoelectric conversion efficiency calculation unit: The output voltage and current data of each battery unit are collected through the photovoltaic power generation monitoring system to calculate the photoelectric conversion efficiency of each battery unit: ,in, is the actual output power of the battery cell, is the solar radiation power received by the battery cell, is the photoelectric conversion efficiency; ,in, is the output voltage of the battery cell, is the output current of the battery cell; , where G is the solar radiation intensity per unit area, and A is the light-receiving area of ​​the battery unit;

[0052] Damage detection and positioning unit: Based on the difference analysis of historical data and current data of photoelectric conversion efficiency, the sliding window average method is used to identify battery cells below the preset threshold, determine them as damaged cells, and locate the position of the damaged cells according to the numbering rules of the battery array;

[0053] The numbering rule of the battery array is to assign a position identifier to each battery cell in the battery array through a set of standardized numbering methods. This numbering system not only helps to locate the position of the cell; it adopts matrix numbering. The solar cell array is a matrix structure composed of several rows and columns. The common numbering rule is to use the row and column numbering method to assign the number of each battery cell in the order of rows and columns. The specific rules are as follows:

[0054] Row number: Indicated by "R" (for example, R1, R2, R3...), indicating the row in the battery array, each row represents a horizontal distribution of the battery array.

[0055] Column number: Indicated by "C" (for example, C1, C2, C3...), indicating the column in the battery array, each column represents a vertical distribution of the battery array.

[0056] Battery cell numbering: The number of each battery cell is a combination of the row number and the column number, such as R1C1, R1C2, R2C1, R2C2, etc. In this way, each battery cell has a unique number.

[0057] Example:

[0058] Assuming that the battery array consists of 5 rows and 5 columns of battery cells, the numbering rule would be:

[0059] The battery cell number in the first row and first column is R1C1;

[0060] The battery cell in the second row and third column is numbered R2C3;

[0061] The battery cell in the fifth row and fifth column is numbered R5C5;

[0062] This numbering convention can clearly locate the position of each battery cell, making it easier to monitor and analyze.

[0063] The photoelectric conversion efficiency data of each battery cell is collected in real time by the monitoring system and associated with the numbering system. The sliding window averaging method is used to identify battery cells below the preset threshold. After determining that they are damaged cells, the damaged cells are located according to the number.

[0064] The difference in photoelectric conversion efficiency is calculated and compared with a preset threshold: ,in, is the decrease in photoelectric conversion efficiency, is the benchmark value of historical photoelectric conversion efficiency, calculated by sliding average: , where n is the time length of the sliding window, is the photoelectric conversion efficiency at the first s time points, is the photoelectric conversion efficiency currently collected. If the preset threshold (5%) is exceeded, the unit can be marked as a damaged unit, and its number and location can be located through the records in the monitoring system;

[0065] Damage degree assessment unit: Based on the decrease in photoelectric conversion efficiency and duration T, quantifying the damage degree of the damaged battery cell, and obtaining a damage degree score D, which is graded based on the score, including mild, moderate, and severe;

[0066] , where D is the injury severity score (0-1), is the decrease in photoelectric conversion efficiency, is the benchmark photoelectric conversion efficiency, is the duration of the photoelectric conversion efficiency decline, is the maximum drop tolerance time preset by the system. is the weight coefficient of the decline, is the weight coefficient of duration, , The value range of is [0, 1]. ,generally The value is 0.7. The value of 0.3 is used to balance the effect of the efficiency drop and time on the damage degree. By combining the drop in photoelectric conversion efficiency and the duration, the damage degree score D can be used to grade the damage, such as:

[0067] : Mild injury;

[0068] : Moderate injury;

[0069] : Severe injury.

[0070] Damage map generation unit: associates the location number of the damaged battery cell with the damage degree information to construct a damage map of the solar cell array;

[0071] The damage map is a visualization method that associates the damage of each battery cell in the solar array and its impact in terms of spatial position and degree, helping to effectively understand and analyze the overall health status of the battery array. The damage map can intuitively show which battery cells are damaged and the degree of damage. The construction process of the damage map is as follows:

[0072] 1. Determine the number and damage degree of the battery cell: Through the aforementioned numbering rules, each battery cell is assigned a unique number to indicate its position in the battery array.

[0073] 2. Construct damage degree association: For each battery cell, a two-dimensional matrix can be formed by obtaining the damage degree score D, in which each element represents the damage degree of the battery cell at that position.

[0074] For example, if there is a battery array with 5 rows and 5 columns, the damage level of each cell can form a 5×5 matrix:

[0075] ,

[0076] In this matrix In , each element corresponds to the damage degree of a battery cell in a row or column of the battery array, for example It represents the damage degree of the battery cell in the 5th row and 5th column of the battery array. This matrix becomes the preliminary component of the damage map.

[0077] 3. Associate the damage map with the battery cell location: Map the damage degree matrix with the physical location of the battery cell to form a graphical damage map. The location of each battery cell in the map can be represented by color and size to indicate its damage degree.

[0078] Example:

[0079] Assuming that the damage level of a cell in the battery array is 0.5, the cell is displayed as light red on the damage map.

[0080] If the damage level of another unit is 0.9, it means that the damage is more serious and it will be displayed in dark red.

[0081] The damage map intuitively displays the damage status of each battery cell in the battery array through changes in color depth and size.

[0082] The damage map visualizes the number and location of damaged elements and the damage extent as a two-dimensional matrix:

[0083] ,in, It represents the damage degree score D of the battery cell in the ath row and the bth column in the solar cell array.

[0084] The comprehensive performance degradation relationship between the damaged battery cell and the adjacent battery cells is analyzed by the position association algorithm, including:

[0085] Construct an adjacency matrix A to represent the spatial connection relationship between each battery cell in the battery array, where:

[0086] , combined with the damage degree of damaged battery cell i And the adjacency relationship A, calculate the comprehensive performance degradation factor of the adjacent battery cells :

[0087] ,in, It represents the comprehensive performance degradation factor of damaged battery cell i on adjacent battery cell j, including direct impact and indirect impact of adjacent cells. The coordinates of i are , is the damage severity score of damaged battery cell i, is the damage score of the neighboring battery cell j (calculated in accordance with the damage score of the damaged battery cell), is the adjacency matrix, describing whether the damaged battery cell i and the neighboring cell j are adjacent. is the direct impact weight coefficient, which indicates the importance of the direct impact of damaged battery cell i on adjacent battery cell j. is the neighboring cumulative influence weight coefficient, which is used to adjust the importance of the indirect influence of neighboring units on the target unit. , The value range of is [0, 1]. + =1, usually The value is 0.8. The value is 0.2.

[0088] The thermal imbalance between the damaged battery cell and the adjacent battery cell is collected by the temperature sensor. The power output loss of the adjacent battery cell is calculated by the power output difference before and after the damage. Based on the thermal imbalance and power output loss, the thermal impact factor is calculated. and power loss factor :

[0089] Thermal impact factor: ,in, To reduce the temperature difference between the damaged battery cell and the adjacent battery cell, is the maximum allowable temperature difference set;

[0090] Power loss factor: ,in, is the power loss of the adjacent unit, is the base power output of the unit, obtained using the sliding average of historical data , select the power output data of the battery cell during the healthy period, and use the sliding average method to calculate its benchmark power:

[0091] ,in, is the power output at the tth moment in the historical operation data, and N is the length of the selected time window.

[0092] Power loss in adjacent units ,in, Is adjacent to the battery cell The power loss is caused by the damage to the battery cell i. is the actual power output of neighboring battery cell j in the presence of damaged cell i, is the reference power output of the adjacent battery cell j under normal working conditions.

[0093] The construction of the mutual influence model is based on the comprehensive performance degradation influencing factors , thermal impact factor and power loss factor , calculate the comprehensive influence coefficient of each unit :

[0094] ,in, is the weight coefficient, which is used to adjust the contribution of different factors to the comprehensive impact coefficient.

[0095] The global life impact assessment module specifically includes:

[0096] Recession model establishment: based on comprehensive impact coefficient , combined with the overall performance of the solar array, a power system power degradation model is constructed, considering the impact of damaged battery cell i on the overall power output of the battery array and the change of the degradation rate;

[0097] Remaining life calculation: Calculate the remaining life based on the power system degradation model , remaining life The calculation is done by solving the time when the power system decays to a predetermined minimum lifetime power threshold:

[0098] The performance degradation curve P(t) of the solar array power system is generated through the remaining life prediction results. This curve describes the change trend of the solar array power output over time and provides a basis for system maintenance and replacement decisions.

[0099] The power system degradation model is expressed as:

[0100] , where P(t) is the power output of the power system at time t, is the initial power output of the power system, is the comprehensive influence coefficient of damaged unit i on adjacent unit j, and t is the time.

[0101] Remaining life ,in, is the initial power, is the predetermined minimum lifetime power threshold;

[0102] The life threshold in the fault warning module uses the predetermined minimum life power threshold ,when achieve , that is, generate early warning information.

[0103] The present invention covers any substitution, modification, equivalent method and scheme made on the essence and scope of the present invention. In order to make the public have a thorough understanding of the present invention, specific details are described in detail in the following preferred embodiments of the present invention, but those skilled in the art can fully understand the present invention without the description of these details. In addition, in order to avoid unnecessary confusion about the essence of the present invention, well-known methods, processes, procedures, components and circuits are not described in detail.

[0104] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principle of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A system for estimating the life of a damaged solar array power system, characterized in that: include: Damaged unit location data acquisition module: Based on the photovoltaic power generation monitoring system, the damaged unit location data of each battery unit is acquired. Photoelectric conversion efficiency: Based on the photoelectric conversion efficiency data, the location and damage degree of each damaged battery cell are determined, and a damage map of the battery array is constructed; Damaged cell association analysis module: Based on the damage map of the battery array, the comprehensive performance degradation relationship between the damaged battery cell and the adjacent battery cells is analyzed through the position association algorithm. Based on the comprehensive performance degradation relationship, combined with the thermal imbalance between the damaged battery cell and the adjacent battery cell and the power output loss of the adjacent battery cell, a mutual influence model between the damaged battery cell and the adjacent battery cell is established, and the comprehensive influence coefficient is output; The analyzing the comprehensive performance degradation relationship between the damaged battery cell and the adjacent battery cells by the position correlation algorithm specifically includes: Construct an adjacency matrix A to represent the spatial connection relationship between each battery cell in the battery array, combined with the damage degree of damaged battery cell i And the adjacency matrix A, calculate the comprehensive performance degradation factor of adjacent battery cells : ,in, It represents the comprehensive performance degradation factor of damaged battery cell i on adjacent battery cell j, including direct impact and indirect impact of adjacent cells. is the damage severity score of damaged battery cell i, is the damage level score of the adjacent battery cell j, is the adjacency matrix describing the damaged battery cell i and the adjacent battery cell j, is the direct impact weight coefficient, which indicates the importance of the direct impact of damaged battery cell i on adjacent battery cell j. is the neighboring cumulative influence weight coefficient, which is used to adjust the importance of the indirect influence of neighboring units on the target unit; The thermal imbalance between the damaged battery cell and the adjacent battery cell is collected by a temperature sensor, the power output loss of the adjacent battery cell is calculated by the power output difference before and after the damage, and the thermal impact factor and the power loss factor are calculated based on the thermal imbalance and the power output loss; Global life impact assessment module: Based on the comprehensive impact coefficient output by the damaged cell association analysis module, it predicts the impact of damaged battery cells on the life of the entire solar array power system, calculates the remaining life of the solar array power system, and gives a performance degradation curve; Fault warning module: According to the calculated remaining life and performance degradation curve of the solar array power system, the life threshold is set and a fault warning is generated to prompt maintenance personnel to replace it.

2. A damaged solar array power system life estimation system according to claim 1, characterized in that: The damaged unit position data acquisition module specifically includes: Photoelectric conversion efficiency calculation unit: The output voltage and current data of each battery unit are collected through the photovoltaic power generation monitoring system to calculate the photoelectric conversion efficiency of each battery unit: ,in, is the actual output power of the battery cell, is the solar radiation power received by the battery cell, is the photoelectric conversion efficiency; Damage detection and positioning unit: Based on the difference analysis of historical data and current data of photoelectric conversion efficiency, the sliding window average method is used to identify battery cells below the preset threshold, determine them as damaged cells, and locate the position of the damaged cells according to the numbering rules of the battery array; Damage degree assessment unit: Based on the decrease in photoelectric conversion efficiency and duration T, quantifying the damage degree of the damaged battery cell, and obtaining a damage degree score D, which is graded based on the score, including mild, moderate, and severe; Damage map generation unit: associates the location number of the damaged battery cell with the damage degree information to construct a damage map of the solar cell array.

3. A damaged solar array power system life estimation system according to claim 2, characterized in that: The adjacency matrix describing the damaged battery cell i and the adjacent battery cell j is It is expressed as: 。 4. A damaged solar array power system life estimation system according to claim 3, characterized in that: The thermal impact factor Calculated as: ,in, To reduce the temperature difference between the damaged battery cell and the adjacent battery cell, is the maximum allowable temperature difference set; The power loss factor Calculated as: ,in, is the power loss of the adjacent unit, is the base power output of the unit.

5. A damaged solar array power system life estimation system according to claim 4, characterized in that: The power loss of the neighboring unit ,in, is the power loss of the neighboring battery cell j due to the influence of the damaged battery cell i, is the actual power output of neighboring battery cell j in the presence of damaged cell i, is the reference power output of the adjacent battery cell j under normal working conditions.

6. A damaged solar array power system life estimation system according to claim 4, characterized in that: The construction of the interaction model is based on the comprehensive performance degradation influencing factor , thermal impact factor and power loss factor , calculate the comprehensive influence coefficient of each unit : ,in, is the weight coefficient, which is used to adjust the contribution of different factors to the comprehensive impact coefficient.

7. A damaged solar array power system life estimation system according to claim 6, characterized in that: The global life impact assessment module specifically includes: Recession model establishment: based on comprehensive impact coefficient , combined with the overall performance of the solar array, a power system power degradation model is constructed, considering the impact of damaged battery cell i on the overall power output of the battery array and the change of the degradation rate; Remaining life calculation: Calculate the remaining life based on the power system degradation model , remaining life The calculation is done by solving the time when the power system decays to a predetermined minimum lifetime power threshold.

8. A damaged solar array power system life estimation system according to claim 7, characterized in that: The power system degradation model is expressed as: ,in, is the power output of the power system at time t, is the initial power output of the power system, is the comprehensive influence coefficient of damaged unit i on adjacent unit j, and t is the time.

9. A damaged solar array power system life estimation system according to claim 8, characterized in that: The remaining life ,in, is the initial power, is the predetermined minimum lifetime power threshold.

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