The performance of sensorless control in synchronous reluctance motors (SynRMs) can be significantly affected by the nonlinear characteristics of inductance. To resolve this challenge, a method that employs high-frequency square-wave voltage signals for estimating inductance in real-time has been introduced. Considering the substantial variation of SynRM inductance with current, a motor model is developed that incorporates inductance variation as a function of current, providing a more accurate representation of real-world conditions. Injecting high-frequency voltages in the crossed and straight axes responds to corresponding high-frequency currents. A simple calculation of the current signal yields the inductance. The effectiveness for online inductance identification of the proposed method is validated through MATLAB simulations, demonstrating computational simplicity, accurate tracking, and high precision.