Identification and Extraction of Electrophysical Parameters for Solar Cell Models by Experimental Data
( Pp. 144-160)

The article summarizes the methodology of identification and extraction of electrophysical characteristics of solar cells for various models based on experimental data and equivalent one-, two-, three-diode circuits. A technique based on computer modeling in the Wolfram Mathematica analytical system and in the Mathcad computer algebra system is proposed. The technique allows to compare theoretical and experimental data and deal with different models in both directions – from experiment to theory and vice versa. Experimental work was also carried out to create solar cells based on porous silicon with antireflection coatings (ZnS, DyF3, ZnS + DyF3) and with SiC/Si heterojunctions. Measurements of the I-V and P-V of experimental photoconverters, as well as their surface resistances from the sides of phosphorus and boron doping on the formation of the p-n-junction, were carried out. The main purpose of the study is to develop a methodology for optimizing solar cells and to present modeling and analysis methods that can be used in the development of photobetaconverters to ensure maximum power.

Dolgopolov M.V., Chipura A.S., Shishkin I.A. Identification and Extraction of Electrophysical Parameters for Solar Cell Models by Experimental Data. Computational Nanotechnology. 2023. Vol. 10. No. 3. Pp. 144–160. (In Rus.) DOI: 10.33693/2313-223X-2023-10-3-144-160. EDN: TAGTVX

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current-voltage characteristic, parameter extraction, solar cells, silicon carbide, porous silicon, single crystal module, mathematical modeling, monocrystalline module, photovoltaic cell, photovoltaic system, energy efficiency, optimization, adaptive control, maximum power point tracking, GMPPT, partial shading condition, extremum seeking control, equivalent circuit.