Plowing drag-adaptive operation control method based on motor temperature compensation for electric tractor

Traditional plowing efficiency control methods are difficult to balance the tillage efficiency and uniform plowing depth, and the impact of the motor temperature rise on the control accuracy cannot be ignored during electric tractor operations. Therefore, a plowing drag-adaptive operation control method considering the motor temperature rise was proposed for an electric tractor equipped with a sliding battery pack. Firstly, a field-oriented control model with temperature compensation for the PMSM was developed based on the obtained winding resistances and flux links at different temperatures. Then, the driving torque and battery displacement were regulated to adapt the drag variation by the fuzzy neural network algorithm, allowing joint control of the speed and slip rate, and the simulation analysis was performed. Finally, a field plowing test was conducted. The results showed that the traction efficiency is increased by 23.33 % compared with those without control, and when the motor temperature rises, it can be compensated for temperature to output the required torque accurately, and the average relative errors in both speed and slip rate are reduced. The proposed method can improve the slip and greatly enhance the plowing operational stability, which provided technical support for the automatic precision operation of electric tractors.