Triboelectric nanogenerators (TENGs) are gaining recognition as a promising technology for self-powered energy generation due to their ability to efficiently convert mechanical energy into electrical energy [1]. This study presents an optimized equivalent circuit model of TENGs to achieve better knowledge of their electrical performance under varying operating conditions, thereby supporting device design for diverse applications. A combined approach using simulation models and experimental validation is employed to investigate key parameters influencing TENG output, including capacitance, internal resistance, and output power. The simulation results provide critical insights into device architecture, leading to significant improvements in energy conversion efficiency. The electrical response of the TENG is further evaluated under different load conditions to validate the predictive accuracy of the optimized circuit model. The proposed framework offers a reliable basis for the design and development of high-performance TENGs, with strong potential for applications in self-powered systems and renewable energy technologies.