Parameter Extraction of Schottky Solar Cell in Wide Temperature Range Using Genetic Algorithms

Abstract

This paper proposes a new method based on a genetic algorithm (GA) approach to optimize the electrical parameters such as height barrier, ideality factor, fill factor, open-circuit voltage and power conversion efficiency, in order to improve the electrical performance of Schottky solar cells in an over wide range of temperature. Thus the parameters research process called objective function is used to find the optimal electrical parameters providing greater conversion efficiency. The proposed model results are also compared to experimental and analytical I-V data, where a good agreement has been found between them. Therefore, this approach may provide a theoretical basis and physical insights for Schottky solar cells.

Extraction and Analysis of the Characteristic Parameters in Back‐to‐Back Connected Asymmetric Schottky Diode

“…All it needs is to select a certain range of forward bias to solve a system of linear equations . In recent years, nevertheless, parameter extraction techniques based on artificial intelligence using all kinds of algorithms have been developed, such as genetic algorithm, simulated annealing algorithm, and differential evolution method, providing us a more accurate fitting scheme . In addition, some methods for parameter extraction in back‐to‐back connected Schottky contacts were also developed in the last few years .…”