Methylammonium tin iodide (CH₃NH₃SnI₃) has attracted significant attention in recent years as a promising lead-free material for perovskite solar cells (PSCs), offering an environmentally friendly alternative to traditional lead-based compounds. With a direct band gap of approximately 1.3 eV, high hole mobility, and favorable charge transport properties, CH₃NH₃SnI₃ possesses strong theoretical potential for high-efficiency solar energy conversion [1-3].

However, further development of devices based on this material is limited by several fundamental challenges, most notably the pronounced hysteresis in current–voltage (J–V) characteristics. This behavior is associated with slow internal dynamic processes, including ion migration and interfacial charge relaxation [4].

In this study, numerical simulations based on the drift-diffusion model were conducted to investigate the role of ion-mediated recombination and ionic mobility in the formation of hysteresis in CH₃NH₃SnI₃-based devices. Particular attention was paid to the influence of carrier lifetime (τ), a key parameter governing the efficiency of photogenerated carrier generation, transport, and extraction. The simulation results show that increasing τ significantly reduces bulk and interfacial recombination losses, minimizes the hysteresis index (HI), enhances the short-circuit current density (J_sc = 31.62 mA/cm²), and improves the operational stability of the device under both forward and reverse scan directions. Analysis of the J–V characteristics as a function of carrier lifetime confirmed that longer lifetimes lead to improved photovoltaic performance, reduced impact of ion migration, and enhanced output stability. Thus, this study highlights the critical importance of precise control over carrier lifetime and ionic mobility in improving the efficiency and long-term stability of CH₃NH₃SnI₃-based PSCs. It also demonstrates the potential of numerical modeling as an effective tool for the engineering optimization of perovskite photovoltaic devices.

This work was supported by the Grant No. AP19174728 of the Ministry of Science and Higher Education of the Republic of Kazakhstan.