Title :
Implementation of a levenberg-marquardt algorithm to perform regression to I-V curves
Author :
Risinger, Andrew
Author_Institution :
Appl. Phys. Lab., Johns Hopkins Univ., Laurel, MD, USA
Abstract :
Testing the physical properties of a solar cell will generate a data set following the format of an I-V curve. This data is useful in its raw form, but finding its equation can provide additional information, such as the short circuit current and open circuit voltage. The curve-fitting process can be done manually, but it lacks the precision and ease-of-use of a computer program. Some existing programs assume a vertical error estimator. These are ineffective for an I-V curve because they unduly weight the area around the short circuit current due to less variation. A better method is to use the perpendicular distance between the experimental data and a theoretical fit to optimize the fit to the data. This creates an accurate model of the characteristics of the solar cell over its entire I-V domain, instead of only at the few points sampled for the initial data set.
Keywords :
curve fitting; regression analysis; short-circuit currents; solar cells; I-V curves; Levenberg-Marquardt algorithm; curve-fitting process; open circuit voltage; regression; short circuit current; solar cell; Accuracy; Equations; Estimation; Fitting; Mathematical model; Photovoltaic cells; Testing; i-v curves; levenberg-marquardt fitting; nonlinear regression; perpendicular fitting; photovoltaic cells;
Conference_Titel :
Photovoltaic Specialists Conference (PVSC), 2013 IEEE 39th
Conference_Location :
Tampa, FL
DOI :
10.1109/PVSC.2013.6744250