An Investigation of Dynamic Behavior of Electric Vehicle Gear Trains

火车 汽车工程 工程类 控制理论(社会学) 结构工程 计算机科学 人工智能 地图学 地理 控制(管理)
作者
Ata Donmez,Ahmet Kahraman
出处
期刊:Journal of Computational and Nonlinear Dynamics [ASM International]
卷期号:: 1-23 被引量:1
标识
DOI:10.1115/1.4067153
摘要

Abstract The automotive industry has been experiencing a significant transition towards electrified powertrains in recent years. A torsional model of a common type of electric vehicle (EV) drivetrains is proposed to demonstrate certain dynamic behaviors that are unique to such high-speed applications. This two-stage helical gear drive train is supported by three shafts and connects the electric motor to the vehicle axle. The gear mesh interfaces are modeled by periodically time-varying stiffnesses subjected to backlash and displacement excitations to represent gear tooth errors and modifications. In addition to these internal excitations, torque fluctuations caused by electric motor are included as the external excitations. Two different operating conditions are studied here: (i) steady-state response as the vehicle is operated under steady torque conditions, and (ii) transient response during EV system transitions between the drive and regenerative (regen) braking modes of operation. The torsional model predictions are verified through comparisons to simulations from a deformable-body contact model. Parameter sensitivity studies are performed to demonstrate nonlinear behavior of a helical gear train caused by external torque fluctuations as well as the interactions between external and internal excitations. Finally, drivetrain structural modes are shown to respond to drive-regen transitions resulting in certain transient (vibro-impact) behavior with elevated dynamic mesh forces.

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