坡度和整车质量识别及其在AMT换挡规律中的应用

Road Grad and Vehicle-mass Recognition and Its Application in AMT Shift Schedule

针对带两挡AMT变速箱的纯电动客车在实际运行时因整车质量和道路坡度的变化导致最佳换挡点发生变化的问题,采用多遗忘因子递推最小二乘法对道路坡度和整车质量进行了在线辨识,将识别的道路坡度作为换挡控制参数,制定了以加速踏板开度、车速、车辆纵向加速度和道路坡度为控制参数的四参数换挡控制策略,采用Simulink和AVLCruise软件搭建了控制策略模型和整车模型,两软件联合仿真对平路空载得到的三参数动力性换挡规律和新制定的四参数换挡策略进行了仿真计算,结果表明:多遗忘因子递推最小二乘法能准确识别道路坡度,与平路空载得到的三参数动力性换挡规律相比,新制定的四参数换挡策略能够适应道路坡度的变化。

In view of the problem that the change of vehicle mass and road gradient will lead to the change of the optimal shift point for a pure electric bus with two-speed AMT gearbox in actual operation,the recursive least squares(RLS)method with multi-forgetting factor was used to identify the road gradient and vehicle quality on-line.The identified road gradient was taken as the shift control parameter.A four-parameter shift control strategy with accelerated pedal travel,vehicle velocity,acceleration and road gradient as control parameters was developed.The control strategy model and vehicle model were built by using Simulink and AVLCruise software,the three-parameter dynamic shift rule and the new four-parameter shift strategy were simulated based on the joint simulation of two softwares.The simulation results show that the RLS method with multi-forgetting factor can accurately identify the road gradient.Comparing with the three-parameter dynamic shifting schedule obtained by no-load on the flat road,the new four-parameter shift control strategy can adapt to the change of road gradient.