This article proposes a torque optimization control strategy based on fuzzy space. Establish a fuzzy controller that takes the difference in vehicle speed and the rate of change in accelerator opening as input variables, and the vehicle driving intention coefficient as output to determine the driver’s driving intention. Design the driving mode of the vehicle into three modes: power mode, general mode, and economic mode. The power mode adopts hard throttle curve control and adds a torque compensation module based on fuzzy control to improve the acceleration performance of the vehicle; In general mode, linear throttle curve control is adopted as a transitional mode that takes into account both economy and acceleration; Adopting soft throttle curve control mode in economic mode improves the driving economy of pure electric motorcycles. The simulation results show that compared with traditional torque control strategies, the torque optimization control strategy studied in this paper can accurately identify driving intentions, and the power and economy of motorcycles have been improved.