A Particle-Swarm-Optimization-Based Parameter Extraction Routine for Three-Diode Lumped Parameter Model of Organic Solar Cells

A parameter extraction routine for three-diode lumped parameter model of organic solar cells (OSCs) based on particle swarm optimization (PSO) is presented in this letter. In the process of parameter extraction by using PSO, we overcome the problem of encountering locally optimal solutions, where such a problem results from the similar effects of some parameters on ${I} - {V}$ characteristics. Combining with the analytical solution algorithm of OSCs’ three-diode lumped parameter model, our parameter extraction routine can efficiently acquire the accurate fitting parameters to complete simulations for ${I} - {V}$ characteristics. Furthermore, this routine is valid for the different algorithms of the solution to OSCs’ ${I} - {V}$ properties. Finally, we use the experimental data measured from OSCs to verify the parameter extraction routine. As a result, such a parameter extraction routine can perform as an important tool to extract the fitting parameters of OSCs’ lumped parameter model.