Abstract

Some of the technical problems that appear are obtaining solar cell parameters from I-V curve measurement data. One simple method is using linear graphical fit at zero current or voltage conditions. Although the accuracy of the obtained values is acceptable, other problems may arise regarding the number of parameters which could be obtained. We report a comparison between manual or graphical fit and fit using Shockley’s equation. The single I-V curve under the lighting was inferred to obtain the intrinsic parameters of the solar cells’ performance. The fittings were performed using the nonlinear equation of Shockley by determining some initial values of fittings such as Rs, Rsh, n, I0, Iph, and T. In the case of the Shockley equation fit, the iteration was performed several times to obtain the least possible inferred parameters. We have successfully obtained a better result of nonlinear Shockley fitting compared to the manual linear fit.

Highlights

  • IntroductionTechnology, and industry has increased electric energy needs

  • Rapid growth in science, technology, and industry has increased electric energy needs

  • Solar energy can be converted into electric energy with a solar cell [3]

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Summary

Introduction

Technology, and industry has increased electric energy needs. Parameters Rs and Rsh correspond to the fill factor (FF) of energy conversion in the solar cell. The intrinsic solar cell parameters have been extracted from any method, such as a manual method with ideality factor approximation [17]. Rs and Rsh values correspond to the slope near Voc and Isc, respectively. By using this technique, many other parameters have not been found, such as. Many researchers have done extraction of the solar cell parameter from the I-V curve. To extract the solar cell parameters like Iph, I0, Rs, Rsh, and n, the orthogonal distance regression with implicit equation model of the Shockley equation using origin lab was implemented

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