Optical Modelling of Solution Processed All-Perovskite Triple Junction Solar Cells

In this research work, we present the development of two sophisticated coding algorithms grounded in the transfer matrix method using MATLAB. These algorithms, characterized by their generality, offer a versatile tool for optimizing a wide range of solution-processed triple junction solar cells (TJSC). The focal point of our investigation involves the application of these algorithms to enhance the performance of solution-processed all-perovskite (all-OIHP) TJSC. The algorithms leverage the wavelength-dependent complex refractive indices of all layers, obtained from existing literature, as input parameters. Our findings showcase a remarkable improvement in the maximum matched photocurrent density for the high, middle, and low bandgap sub-cells, reaching values of 8.86, 8.86, and 8.76 mA.cm(-2), respectively. A pivotal outcome is the calculated minimum reflection loss of 8.96 mA.cm(-2), representing a substantial reduction of 2.50 mA.cm(-2) compared to literature values. Delving deeper into our analysis, we unveil the intricacies of parasitic absorption loss, quantified at 8.14 mA.cm(-2). Notably, this absorption loss is predominantly attributed to the PTAA in the middle sub-cells and C-60 in the high bandgap sub-cell. Our comprehensive approach not only optimizes the overall performance of the all-OIHP TJSC but also sheds light on the specific contributions of various layers to parasitic absorption.