基于环境补偿的电动汽车输出扭矩控制方法  

Electric Vehicle Output Torque Control Method Based on Environmental Compensation

作　　者：王晶[1] WANG Jing(Department of Mechanical and Electrical Engineering,Langfang Polytechnic Institute,Langfang 065000,China)

机构地区：[1]廊坊职业技术学院机电工程系,河北廊坊065000

出　　处：《汽车实用技术》2023年第13期9-13,共5页Automobile Applied Technology

基　　金：河北省教育厅科学技术研究项目(ZC2023094)。

摘　　要：论文提出一种基于环境补偿的电动汽车输出扭矩控制方法,首先定义电动汽车环境影响参数的概念,实现环境因素对行车过程影响的量化评估;在此基础上,提出一种基于径向基函数(RBF)神经网络的电动汽车环境影响参数计算方法,利用神经网络强大的非线性问题解决能力,来解决常规数学方法无能为力的车辆环境影响参数计算问题;最后利用RBF神经网络计算得到的环境影响参数对驱动电机的输出扭矩指令进行补偿,确保驱动系统最终输出的扭矩尽可能地不受环境影响,以此提高驾驶员的驾驶体验。针对所提出的控制方法建立MATLAB/Simulink模型,通过仿真验证对该方法的可行性及有效性进行了验证。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.

关 键 词：电动汽车 扭矩控制 神经网络 补偿系数 

分 类 号：U461.8[机械工程—车辆工程]