Abstract
In the solar industry, estimating the solar transferring rate is an important issue because the estimate can be used to understand the quality of a solar crystal ingot. Also, the estimated value greatly influences the manufacture process, such as the material recipes of the crystal ingot in such industry. Minority carrier lifetimes can be used to measure the quality of solar crystal ingot and further to estimate the solar transferring rate. To our knowledge, there does not exist any effectively implementable formula measuring the solar transferring rate as functions of Minority carrier lifetimes. This research proposes a regression function used to estimate the solar transferring rate as functions of minority carrier’s lifetimes. The proposed three significant factors in the regression function are (1) the average of the tail probability of four corners of a crystal ingot, (2) the fourth moment of the tail probability of all the crystal bars in a crystal ingot, and (3) the fourth moment of carrier lifetimes of all the cells in a same crystal bar. The accuracy of the proposed regression model via the coefficient of determination R-square, the fraction of variances of the response variable (the solar transferring rate) explained by the regression line (via the proposed three factors), is 88%.