【摘要】 针对电动汽车急加速过程中引起加速转矩亏损的特性，在考虑传动轴超速旋转的激励源的影响下，提出基于基准转矩的电动汽车传动轴超速旋转控制。基于电动汽车传动轴的几何形状及边界等条件，建立有限元仿真模型，获取2阶激励下的低频振动与加速转矩的耦合约束关系。在此基础上利用卷积循环神经网络进行电动汽车传动轴超速工况识别；当CRNN识别到传动轴处于约束关系时，根据电动汽车在运行时的基准转矩设定合适的阈值和判据，采用加速转矩补偿控制策略完成传动轴的超速旋转的转矩补偿控制。仿真结果表明：这种控制方法的电动汽车传动轴超速旋转控制精度高、响应时间短，较为适合应用于实际控制中。更多还原

【Abstract】 In this article, as for the characteristic of torque loss caused by the electric vehicle’s rapid acceleration, an overspeed rotation control of the electric vehicle’s transmission shaft is proposed based on the reference torque, with the influence of the excitation source on the transmission shaft’s overspeed rotation. According to the geometric shape and the boundary conditions of the electric vehicle’s transmission shaft, a finite-element simulation model is set up to identify the coupling constraint relationship between low-frequency vibration and the acceleration torque with second-order excitation. On this basis, the convolutional recurrent neural network is used to identify the overspeed conditions of the electric vehicle’s transmission shaft. When CRNN recognizes that the transmission shaft is in a constraint relationship, appropriate thresholds and criteria are set based on the reference torque when the electric vehicle is in operation; an acceleration-torque compensation control strategy is adopted for torque compensation control of the transmission’s overspeed rotation. The control-based simulation results show that this method has high accuracy and short response time in overspeed rotation control of the electric vehicle’s transmission shaft, which is applicable in practical engineering.更多还原