Data analysis based crystalline silica cell production process monitoring method

A crystalline silicon battery and production process technology, which is applied to circuits, electrical components, semiconductor devices, etc., can solve problems such as the inability to monitor the production process stably, and achieve the effect of improving the battery production process, effectively controlling and eliminating process influencing factors

Active Publication Date: 2016-08-31
盐城阿特斯阳光能源科技有限公司
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AI Technical Summary

Problems solved by technology

[0005] The existing production process or equipment control methods include statistical process monitoring Statistical Process Control (SPC), but each process monitoring is relative

Method used

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Embodiment 1

[0041] A method for monitoring the production process of crystalline silicon batteries based on data analysis. The finished battery products are tested continuously. The performance parameters obtained from the test are divided into multiple subgroups, and each performance parameter in each subgroup includes the performance parameter values ​​of 1500 finished battery products. In practical applications, the number of performance parameter values ​​of finished batteries in each subgroup can be any value in the range of 800-10000, such as 1000, 2000, 5000, etc.; including the following steps:

[0042] Step 1: Calculate the standard deviation of each performance parameter of each subgroup to judge whether the production process is abnormal, and use the SPC data of process control to determine the production process that caused the abnormal parameters and eliminate the influencing factors of the production process;

[0043] When the judgment basis is the standard deviation, compare...

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Abstract

The invention provides a data analysis based crystalline silica cell production process monitoring method which comprises the following step of performing a test on a finished cell product that is obtained from continuous productions with the consequence that parameters for various performances obtained from the test are divided into a plurality of sub-set groups. and the step further contains four steps: firstly, calculating the standard deviations on the parameters of various performances in each sub-set group and/or observing the frequency distribution graphs of the parameters of various performances and marking the outlier parameters; and through the process controlled SPC data, determining the production process that caused the outlier parameters and removing the influential factors for the production process; secondly, calculating the changing ratios of the parameters of various performances and determining the main factors that influence the standard deviations of outlier parameters among the finished cells; thirdly, controlling the influential factors in the production process that are relevant to the main factors so as to enhance the consistency between the performances of finished cells; and fourthly, repeating step 2 and step 3 until the standard deviations of the parameters of various performances come to zero.

Description

technical field [0001] The invention relates to the field of production of crystalline silicon batteries, in particular to a method for monitoring the production process of crystalline silicon batteries based on data analysis. Background technique [0002] Conventional fossil fuels are increasingly depleted. Among all sustainable energy sources, solar energy is undoubtedly the cleanest, most common and most potential alternative energy source. At present, among all solar cells, crystalline silicon solar cells are one of the solar cells that have been widely commercialized. This is due to the extremely abundant reserves of silicon materials in the earth's crust. Cells have excellent electrical and mechanical properties, therefore, crystalline silicon solar cells occupy an important position in the field of photovoltaics. [0003] In the production process of crystalline silicon solar cells, if the state of each process or equipment is stable, the data obtained from productio...

Claims

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Application Information

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IPC IPC(8): H01L31/18H01L21/66
CPCH01L22/30H01L31/1804H01L31/1876Y02P70/50
Inventor 张高洁吴坚王栩生邢国强
Owner 盐城阿特斯阳光能源科技有限公司
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