Fuzzy-Logic-based Approach for Organic Solar Cell Parameters Extraction

Extraction of the organic solar cell parameters is a complex task, because of the huge number of parameters in recent models; most of them correlated, and requires global optimization methods. The optimization methods are based on calculating derivatives and are thus quite computationally expensive and difficult to code. Therefore, in the present work, a new organic solar cell parameters extraction tool is presented. This tool is based on fuzzy control techniques. These techniques allow using knowledge about the model behavior into the parameter extraction method, thus simplifying the task. The procedure is applied to extract the different parameters of a single-diode solar cell model for which results show good performance. The obtained results make the proposed approach a promising candidate for organic solar cell investigations.