关键词: 电动汽车；扭矩控制；神经网络；补偿系数

Abstract: A method for controlling the output torque of electric vehicles based on environmental compensation is proposed in this paper. Firstly, the concept of environmental impact parameters of electric vehicles is defined to realize the quantitative evaluation of the influence of environmental factors on the driving process. On this basis, an electric vehicle based on radial basis function (RBF) neural network is proposed. The environmental impact parameter calculation method uses the powerful nonlinear problem solving ability of neural network to solve the vehicle environmental impact parameters that conventional mathematical methods cannot do; finally, the environmental impact parameters calculated by the RBF neural network are used to compensate the output torque command of the drive motor. In order to ensure that the final output torque of the drive system is not affected by the environment as much as possible, the driving experience of the driver is improved. A MATLAB/Simulink model is established for the proposed control method, and the feasibility and effectiveness of the method are verified by simulation.

Key words: Electric vehicle; Torque control; Neural networks; Compensation factor