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作 者:侯圣栋 王磊 刘恩良 张思远 张帅帅 HOU Shengdong;WANG Lei;LIU Enliang;ZHANG Siyuan;ZHANG Shuaishuai(Institute of Automotive Engineering R&D,Shaanxi Heavy Duty Automobile Company Limited,Xi’an 710200,China)
机构地区:[1]陕西重型汽车有限公司汽车工程研究院,陕西西安710200
出 处:《汽车实用技术》2022年第23期93-97,共5页Automobile Applied Technology
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。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.
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