Photovoltaic cell non-destructive detection method and photovoltaic cell non-destructive detection system based on induction photothermal radiation

A photovoltaic cell and non-destructive testing technology, applied in the monitoring of photovoltaic systems, photovoltaic power generation, photovoltaic modules, etc., can solve problems such as high failure rate, grid line interface failure, photoelectric performance degradation, etc., and achieve multiple evaluation parameters and rapid detection means , Improve the effect of innovation ability

Active Publication Date: 2017-09-22
HUNAN UNIV
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  • Abstract
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  • Application Information

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Problems solved by technology

[0004] Among them, the performance evaluation of photovoltaic modules according to international standards such as IEC61646 and IEC61215 shows that test environments such as hot spots, humid heat aging, and high and low temperature cycles cause high failure rates of modules, while in practical applications of photovoltaics, it often shows bypass Diode failure, grid line interface failure, encapsulation film delamination, bus bar c

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  • Photovoltaic cell non-destructive detection method and photovoltaic cell non-destructive detection system based on induction photothermal radiation
  • Photovoltaic cell non-destructive detection method and photovoltaic cell non-destructive detection system based on induction photothermal radiation

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specific Embodiment approach

[0041] A specific embodiment, a method for non-destructive testing of photovoltaic cells based on inductive photothermal radiation, comprising the following steps:

[0042] 1) Under a given light and temperature condition, place the photovoltaic cell on the test platform, and apply a pulse signal to the excitation coil 11 by using the electromagnetic induction excitation module 10 .

[0043] 2) After the photovoltaic cells and components 8 are electromagnetically excited by the excitation coil 11, eddy current field distribution is generated on the surface, which breaks the internal carrier balance and generates light radiation and heat radiation.

[0044] 3) The temperature distribution data on the surface of the photovoltaic cell is collected by the infrared thermal imager 2 to form a thermal image, and the position of the damage is judged by using the abnormality of the temperature field near the damage or the defect 6; and the photodetector 3 is controlled by the scanning m...

Embodiment approach

[0057] Specific implementation methods: such as figure 2As shown, a metal plate is set on an insulating test platform, and the test platform is made of insulating and heat-preserving materials. Short-wave infrared camera or CCD camera 1, thermal imager 2, defect detection and performance evaluation module. The defect detection and performance evaluation module includes drive acquisition and image processing circuits. In a period of time, there are damage or defect 6 regions, the temperature rises significantly, and the radiative recombination of carriers is less. The light and heat radiation distribution data of photovoltaic cells and components 8 are collected through the imaging system, and the light and heat distribution images can be generated after being processed by the drive acquisition and image processing circuit. Make judgments based on local defects to avoid failure problems during actual use. Secondly, use the planar array induction coil 7 composed of multiple ...

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Abstract

The invention discloses a photovoltaic cell non-destructive detection method and a photovoltaic cell non-destructive detection system based on induction photothermal radiation. According to the present invention, electromagnetic induction excitation is performed with an excitation coil, and the electricity, the magnetism, the light, the heat and other information of the photovoltaic cell and the assembly are subjected to high-speed and precision measurement in a completely non-contact manner; the attribute, the defect and the health degree of the photovoltaic cell and the assembly are subjected to subtle and quantitative evaluation by fusing machine learning and an artificial neural network algorithm, such that the disadvantages that the subtle defect cannot be detected, the in-service detection cannot be achieved, the detection is slow and the like in the existing contact type detection are solved; the performance, the defect type and the whole health degree of the photovoltaic cell are subjected to quantitative evaluation by comprehensively utilizing the multi-frequency impedance information, the optical radiation information and the thermal radiation information so as to provide the theory, the method and the technical support for the ordered operation of the photovoltaic cell industry chain; and the method can be used for the online diagnosis of the failure of the photovoltaic cell and the assembly installed in the photovoltaic power plant so as to substantially improve the detection efficiency and the safety of the photovoltaic cell and the assembly.

Description

technical field [0001] The invention particularly relates to a photovoltaic cell non-destructive detection method and system based on induced photothermal radiation, which belongs to the technical field of photovoltaic cell detection. Background technique [0002] With the rapid development of the domestic photovoltaic industry and the rapid growth of photovoltaic system installation capacity in recent years, the operational safety and reliability of photovoltaic systems have gradually emerged. Photovoltaic cells and components have become the key equipment for my country's energy transformation, so the quality inspection and performance evaluation of photovoltaic cells and components is particularly important. [0003] The operating environment of photovoltaic cells varies widely, and different environmental factors such as radiation, temperature, humidity, etc. have different impact mechanisms on the working efficiency of photovoltaic cells and modules in service. Moreove...

Claims

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Application Information

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IPC IPC(8): G01N27/90G01N25/72G01N21/95H02S50/10
CPCG01N21/95G01N25/72G01N27/90G01N27/9006G01N27/9046H02S50/10Y02E10/50
Inventor 何赟泽杜博伦杨瑞珍
Owner HUNAN UNIV
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