实时高精度DCT对象模型开发研究

来源 :第19届亚太汽车工程年会暨2017中国汽车工程学会年会 | 被引量 : 0次 | 上传用户:kenmaxabc
下载到本地 , 更方便阅读
声明 : 本文档内容版权归属内容提供方 , 如果您对本文有版权争议 , 可与客服联系进行内容授权或下架
论文部分内容阅读
提出传统变速器动力经济性仿真模型的局限性,介绍了DCT物理模型开发方法基本流程,描述了某DCT基本结构,基于Modelica平台建立了其实时高精度对象模型,通过仿真数据与试验数据对比,验证了DCT对象模型的精度与实时性.
其他文献
伴随着我国基础设施建设的高速发展,城市铁路客运枢纽在国内大量出现.现有铁路客运枢纽建筑结构往往较为复杂,旅客在枢纽内部需要依靠标志寻找正确路径,而标志数量过多、过乱的问题,往往影响旅客在铁路客运枢纽内部的换乘效率.因此,本文从旅客可接受信息量角度,结合我国人体数据及标志设计物理数据确定了旅客在铁路客运枢纽内部标志设置的最大信息量水平.
The city bus,which uses CNG(Compressed Natural Gas)as fuel,is developing rapidly.However,the relative research on the test procedure and emission characteristic is relatively backward.First of all,thi
Due to the growing complexity of powertrain systems,an efficient development process increasingly hinges on early eval-uation testing of concepts under realistic conditions in the context of the whole
In order to make a reasonable vibration test condition and ensure the reliability of the hybrid module of HEV,based on the fatigue analysis,this paper compares three kinds of vibration test conditions
The 48V system which provides effective solution for fuel reduction,has received attentions from OEM(especially from China)with its advantages of safety and cost performance.Control strategies of the
The 48V system is being widely researched because of its benefit on fuel saving.The changes of the FEAD layout and the logical requirement for BSG alternator make the working condition much worse than
In order to enhance the fault diagnosis and fault tolerant ability of hybrid power system,improve reliability and stabili-ty for power system,a fault diagnosis simulation platform of three powertrain
Rear-end collision warning(RCW)is frequently triggered incorrectly in city condition,while missing alarm is also found in turning around condition.False alarm is caused by unruly driving behavior freq
Steer-by-wire(SBW)system has no mechanical linkage between steering wheel and steering gear.It can improve the handing stability,passive safety and comfort of vehicles.However,the failureof SBW system
The correct data association increases robustness and enhances accuracy in SLAM.It attracts much attention over the past decades.In this paper,an efficient data association approach for SLAM based on