Accurate prediction of the initial position of the permanent magnet synchronous motor has an important impact on the control of motor starting process, but identification of the rotor′s initial position without sensor has many advantages on the motor control. In this paper, an initial position prediction method for high precision PMSM based on pulse voltage vector method is proposed. Based on the analysis of the relationship between the magnetic circuit saturation with rotor position of the PMSM, by adding the forward and reverse pulse voltages to any two phases of the motor, the induced voltage without the current phase is measured, and the relationship between the magnitude of the induced voltage and the rotor position is obtained. The neural network is trained the test data to fit this relationship to form a rotor initial position estimating device. The simulation experimental results verify that the method can overcome various errors caused by the motor centralized parament model and has extremely high prediction accuracy.