This article addresses the challenge of accurately assessing the performance of perovskite solar cells (PSCs) by overcoming the issue of hysteresis in current-voltage (I-V) curves. Hysteresis, caused by complex transient phenomena, leads to unreliable power conversion efficiency (PCE) measurements due to the need for long stabilization times. The study proposes a method to predict the minimum time delay required for steady-state conditions, enabling faster and more reliable performance assessments. The research identifies the dynamic characteristics responsible for slow transient responses and uses circuit-element analysis and impedance spectroscopy to validate these findings. The results show that the transient responses in PSCs can be categorized into capacitive and inductive behaviors, which are influenced by ionic and electronic effects. By analyzing these responses, the study provides a framework for understanding the memory effects in PSCs and their impact on device performance. The study introduces a model that incorporates the dynamics of ionic and electronic charge transport, leading to a better understanding of the hysteresis mechanisms in PSCs. The model predicts the necessary time delay for steady-state conditions and demonstrates how this delay can be used to eliminate hysteresis effects in I-V measurements. The results show that the proposed method can significantly reduce the time required for performance assessments while maintaining accuracy. The study also highlights the importance of understanding the memory properties of PSCs, which are influenced by internal ionic-electronic effects. By analyzing the transient responses and using equivalent circuit models, the study provides insights into the complex behavior of PSCs and offers a systematic approach to improving their performance and stability. The findings suggest that the proposed method can be implemented as an industrial-level automatic routine to monitor real-time current during I-V measurements, allowing for continuous adaptation of measurement conditions based on the dynamic transient responses of PSCs. This approach not only improves the accuracy of performance assessments but also enhances the reliability and efficiency of PSCs in practical applications. The study concludes that the proposed method provides a disruptive solution for systematic production of photovoltaic perovskites and offers a new perspective for advancing the commercialization of PSCs.This article addresses the challenge of accurately assessing the performance of perovskite solar cells (PSCs) by overcoming the issue of hysteresis in current-voltage (I-V) curves. Hysteresis, caused by complex transient phenomena, leads to unreliable power conversion efficiency (PCE) measurements due to the need for long stabilization times. The study proposes a method to predict the minimum time delay required for steady-state conditions, enabling faster and more reliable performance assessments. The research identifies the dynamic characteristics responsible for slow transient responses and uses circuit-element analysis and impedance spectroscopy to validate these findings. The results show that the transient responses in PSCs can be categorized into capacitive and inductive behaviors, which are influenced by ionic and electronic effects. By analyzing these responses, the study provides a framework for understanding the memory effects in PSCs and their impact on device performance. The study introduces a model that incorporates the dynamics of ionic and electronic charge transport, leading to a better understanding of the hysteresis mechanisms in PSCs. The model predicts the necessary time delay for steady-state conditions and demonstrates how this delay can be used to eliminate hysteresis effects in I-V measurements. The results show that the proposed method can significantly reduce the time required for performance assessments while maintaining accuracy. The study also highlights the importance of understanding the memory properties of PSCs, which are influenced by internal ionic-electronic effects. By analyzing the transient responses and using equivalent circuit models, the study provides insights into the complex behavior of PSCs and offers a systematic approach to improving their performance and stability. The findings suggest that the proposed method can be implemented as an industrial-level automatic routine to monitor real-time current during I-V measurements, allowing for continuous adaptation of measurement conditions based on the dynamic transient responses of PSCs. This approach not only improves the accuracy of performance assessments but also enhances the reliability and efficiency of PSCs in practical applications. The study concludes that the proposed method provides a disruptive solution for systematic production of photovoltaic perovskites and offers a new perspective for advancing the commercialization of PSCs.