Research on Road Load Simulation Technology of Commercial Vehicle Driveline Based on Chassis Dynamometer
Wenli Li, Yu Lu, Dong Guo, Zheng Weidong, Haiyan Yan, Rui Xu
Abstract
Wenli Li, Yu Lu, Dong Guo, Zheng Weidong, Haiyan Yan, Rui Xu
Abstract
In this article, a new road load simulation technology is presented for commercial vehicle driveline. In order to assess the performance of vehicle driveline, the chassis dynamometer system is introduced on the basis of the traditional vehicle driveline test bench, which improves the accuracy of the simulation system without the need of complex modeling of commercial vehicle tire dynamics. The vertical load of the vehicle is emulated by the hydraulic loading mechanism, and the influence of the vertical load on commercial vehicle driveline is emulated when the vehicle passes the bumpy road. The evaluate control method of commercial vehicle acceleration inertia based on wheel rotational speed and vehicle dynamics model is designed. A method of speed incremental prediction filtering based on gradient descent algorithm (GDA) is developed to suppress the error of speed brought by system delay and torque noise signal, and the test results are presented to demonstrate successful simulation.
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In this article, a new road load simulation technology is presented for commercial vehicle driveline. In order to assess the performance of vehicle driveline, the chassis dynamometer system is introduced on the basis of the traditional vehicle driveline test bench, which improves the accuracy of the simulation system without the need of complex modeling of commercial vehicle tire dynamics. The vertical load of the vehicle is emulated by the hydraulic loading mechanism, and the influence of the vertical load on commercial vehicle driveline is emulated when the vehicle passes the bumpy road. The evaluate control method of commercial vehicle acceleration inertia based on wheel rotational speed and vehicle dynamics model is designed. A method of speed incremental prediction filtering based on gradient descent algorithm (GDA) is developed to suppress the error of speed brought by system delay and torque noise signal, and the test results are presented to demonstrate successful simulation.
Key concepts: Automotive engineering, Powertrain, Commercial vehicle, Dynamometer, Chassis, Engineering, Computer science, Torque