Fractional differential quadrature method for modeling composite halide perovskite solar cells

Area of Science:

• Materials Science
• Renewable Energy
• Computational Physics

Background:

• Composite halide perovskite solar cells are promising for renewable energy.
• Accurate device modeling is crucial for optimizing performance.
• Existing modeling methods can be computationally intensive.

Purpose of the Study:

• To introduce and validate the Fractional Differential Quadrature (FDQ) method for modeling perovskite solar cells.
• To assess the computational efficiency and accuracy of the FDQ method.
• To investigate the impact of various parameters on solar cell performance.

Main Methods:

• Solving continuity and Poisson equations using the FDQ method.
• Simulating charge transport in a PCBM/CH3NH3GeI3/CuI perovskite solar cell.
• Conducting a parametric study on temperature, layer thickness, mobilities, and bandgaps.

Main Results:

• The FDQ method achieved high accuracy (10⁻⁸ error) and computational efficiency.
• Optimal HTL thickness of 300 nm maximized short-circuit current (Jsc).
• A 50 nm increase in ETL thickness reduced power conversion efficiency (PCE) by 7.5%.

Conclusions:

• The FDQ method is a powerful and efficient tool for perovskite solar cell device modeling.
• Parametric analysis provides insights for optimizing solar cell design and fabrication.
• This work facilitates the development of high-performance perovskite solar cells.