Abstract: The load of the vehicle is a very important control input for the shifting rule of heavy commercial vehicles. According to the dynamic load, the gear difference is corrected. This paper takes an automatic transmission (AMT) model as the research object, through the dynamic analysis of the launch process, a self learning method of vehicle mass in the starting process is proposed. The experimental results show that this method can quickly estimate the vehicle weight, and the accuracy meets the requirements of shifting. It solves the problem of poor driving performance in the first few shifts of the new driving cycle without load, and meets the driver’s needs.

Key words: Commercial vehicle; Automatic transmission (AMT); Launch process; Self-learning method of vehicle weight; Shifting rule

摘要： 整车载荷是重型商用车换挡规律非常重要的控制输入量，可以根据动态载荷对挡位进 行差值修正。文章以一款全自动变速器（AMT）车型为研究对象，通过起步过程的动力学分 析，提出了一种在起步过程中进行车辆质量自学习的方法。试验表明，此方法可以快速估算 车辆质量，精度满足换挡规律的要求，解决了车辆空载新的驾驶循环前几次换挡驾驶性差的 问题，满足驾驶员需求。

关键词: 商用车；全自动变速器；起步过程；车重自学习方法；换挡规律