Abstract: Accurate identification of electrical parameters such as stator resistance and inductance of permanent magnet synchronous motors (PMSMs) is fundamental to achieving high-performance vector control. To address the degradation of identification accuracy caused by measurement noise, inverter nonlinearity, and parameter perturbations in high-frequency impedance identification, this paper proposes a robust parameter identification strategy for PMSM high-frequency impedance that incorporates an ESO. This method employs the ESO to observe and compensate for the total disturbance in the high-frequency response current in real time, thereby enhancing signal purity. High-precision extraction of amplitude and phase is achieved by combining synchronous carrier quadrature demodulation, which in turn enables high-frequency impedance calculation and parameter identification. Simulation results demonstrate that the proposed method can accurately identify stator resistance and inductance, providing a highly robust solution for PMSM electrical parameter identification.