Numerically Robust Methodology for Fitting Current-Voltage Characteristics of Solar Devices with the Single-Diode Equivalent-Circuit Model

TL;DR

This paper presents a numerically robust method for fitting current-voltage data of solar devices using the single-diode model, effective even with noisy data, and provides open-source code for implementation.

Contribution

It introduces a new robust fitting methodology with a formulated initial guess and leverages the Levenberg-Marquardt algorithm, along with open-source code for practical use.

Findings

Effective fitting of noisy data achieved

Method improves robustness over traditional approaches

Open-source implementation available

Abstract

For experimental and simulated solar cells and modules discrete current-voltage data sets are measured. To evaluate the quality of the device, this data needs to be fitted, which is often achieved within the single-diode equivalent-circuit model. This work offers a numerically robust methodology, which also works for noisy data sets due to its generally formulated initial guess. A Levenberg-Marquardt algorithm is used afterwards to finalize the fitting parameters. The source code and an executable version of the methodology are published under https://github.com/Pixel-95/SolarCell_DiodeModel_Fitting on GitHub. This work explains the underlying methodology and basic functionality of the program.