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首页> 外文期刊>SAE International Journal of Vehicle Dynamics, Stability, and NVH >FWD Halfshaft Angle Optimization Using 12 Degree of Freedom Analytical Model
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FWD Halfshaft Angle Optimization Using 12 Degree of Freedom Analytical Model

机译:FWD Halfshaft角优化使用12度自由的分析模型

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摘要

This paper describes the development of an analytical method to assess and optimize halfshaft joint angles to avoid excessive 3rd halfshaft order vibrations during wide-open-throttle (WOT) and light drive-away events. The objective was to develop a test-correlated analytical model to assess and optimize driveline working angles during the virtual design phase of a vehicle program when packaging tradeoffs are decided. A twelve degree-of-freedom (12DOF) system model was constructed that comprehends halfshaft dynamic angle change, axle torque, powertrain (P/T) mount rate progression and axial forces generated by tripot type constant velocity (CV) joints. Note: "tripot" and "tripod" are alternate nomenclatures for the same type of joint. Simple lumped parameter models have historically been used for P/T mount optimization; however, this paper describes a method for using a lumped parameter model to also optimize driveline working angles. The 12DOF model results enable evidence-based decisions during the virtual vehicle phase for driveline working angles, powertrain mount rate and locations relative to P/T center of gravity. Several challenges were encountered and addressed during the 12DOF model development and correlation process, including halfshaft dynamic angle determination, P/T lateral rigid body mode frequency determination and subjective rating prediction.
机译:本文描述了一个的发展分析方法来评估和优化halfshaft关节角,以避免过度的第三halfshaft阶振动时wide-open-throttle(知道)和光赶走事件。test-correlated评估和分析模型动力传动系统优化角度在工作虚拟车辆项目的设计阶段包装权衡决定。12自由度(自由度)系统模型理解halfshaft动态角变化,轴扭矩,动力系统(P / T)山发展速度和产生的轴向力过程式恒定速度(CV)关节。“过程”和“三脚架”替代术语对相同类型的关节。历史上被用于参数模型P / T优化山;描述了使用集中参数方法模型也优化动力传动系统工作角度。结果使循证的12自由度模型在虚拟车辆阶段决定的动力传动系统工作角度,动力系统挂载率和位置相对于P / T重心。遇到了一些挑战和解决在开发和12自由度模型相关流程,包括halfshaft动态刚体角决心,P / T横向模式频率的决心和主观评价预测。

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