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Spatial simulation of pushbelt CVTs with time-stepping schemes

机译:带时间步法的带式无级变速器空间仿真

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With a pushbelt continuously variable transmission the whole drivetrain including the engine of a passenger car can operate in an optimal state at any time. For further improvements with respect to fuel consumption, dynamic simulations of the system were investigated by Bosch and the Institute of Applied Mechanics of the Technische Universitat Miinchen in the last years. The underlying mathematical models are characterised by numerous contacts and a large degree of freedom. To avoid high numerical stiffnesses due to springs and to encourage an efficient as well as stable and robust numerical treatment, a nonsmooth contact description is chosen. Time-stepping schemes integrate the resulting measure differential inclusions. This paper deals with a spatial transient mathematical model of pushbelt continuously variable transmissions to consider also out-of-plane effects, for instance pushbelt misalignment. The equations of motion are derived using methods of multibody theory and nonlinear mechanics. Thereby, the bodies themselves are described using rigid and large deflection elastic mechanical models. In-between the bodies, all possible flexible or rigid contact descriptions namely frictionless unilateral contacts, bilateral contacts with 2D-friction and even unilateral contacts with 3D-friction occur. In comparison with the planar case the calculation time increases significantly mainly because of the large degree of freedom and the number of contact possibilities. Initial value problems are solved and parallelisation is used to reduce the computational effort.
机译:借助推带式无级变速器,包括乘用车发动机在内的整个传动系统可随时处于最佳状态。为了进一步改善燃油消耗,最近几年,博世和慕尼黑工业大学应用力学研究所对系统的动态仿真进行了研究。潜在的数学模型的特征在于大量的联系和很大的自由度。为了避免由于弹簧引起的高数值刚度,并鼓励进行有效,稳定和强大的数值处理,请选择不光滑的接触描述。时间步长方案整合了所得的度量微分包含。本文研究了推带式无级变速器的空间瞬态数学模型,以同时考虑平面外影响,例如推带未对准。运动方程是使用多体理论和非线性力学方法得出的。因此,使用刚性和大挠度弹性力学模型描述了物体本身。在主体之间,发生所有可能的柔性或刚性接触描述,即无摩擦单边接触,具有2D摩擦的双边接触,甚至具有3D摩擦的单边接触。与平面情况相比,计算时间显着增加,这主要是由于自由度大和接触可能性大。解决了初始值问题,并使用并行化来减少计算量。

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