Abstract: To remedy the big estimated value errors of rotor intelligence arising from frequent buffeting of the conventional SMO observer that leads to automotive water pump motor without sensors control channel, this paper proposes a dual sliding-mode control algorithm for automotive water pump motor with fuzzy PLL. The algorithm, in the steer of velocity loop, employs sliding mode control (SMC) to replace the traditional PI control, reducing the overtravel of the system and the impact of parameter changes. On SMO, the saturation function sat() substitutes the sign function sgn(), and the EMF adaptive law related to the rotor speed is designed, which effectively suppresses the frequent buffeting troubles of the channel. A fuzzy PID control is incorporated to replace conventional PI control in the PLL channel to reduce the estimation error of rotor intel and satisfy the dynamic requirements of the system. The simulation results show the dual sliding mode control algorithm with fuzzy PLL for automotive water pump motor achieves higher accuracy in observing the motor rotor intelligence, and the estimation errors of rotor speed and rotor position record at ±2 r/min and 0.11rad respectively.