Multi-objective-optimization-based approach to improve the electrical efficiency for organic solar cells

Abstract

In this paper, new electrical scheme modeling and optimization approaches are proposed to improve the conversion efficiency of the organic solar cells. The electrical parameters such as shunt resistance, series resistance, saturation current, ideality factors, photo-current density and open-circuit voltage of the device have been ascertained using the Trust-Region Method (TR) for the double exponential solar cell model. The developed double exponential solar cell model is used to formulate the objective functions, which are the pre-requisite of genetic algorithm computation, to improve the conversion efficiency. The problem is then presented as a multi-objective optimization one where the electrical parameters are considered simultaneously. Therefore, the developed approach is used to search of the optimal electrical parameters to obtain better conversion efficiency of the organic solar cells. The proposed approach may provide a theoretical basis and physical insights for organic solar cells design.