The Combination of Testing and 1D Modeling for Booming Noise Prediction in the Model Based System Testing Framework

Nowadays, many of the proposed solutions to improve automotive vehicle efficiency, such as downsized engines and advanced torque lock-up strategies (for automatic transmissions), can lead to worse noise and vibration characteristics. A typical phenomenon that occurs in such situations is low-frequency booming noise, which happens because of the irregular torque vibrations that are transferred through the flexible driveline elements. This paper presents a combined test and 1D modelling approach used to analyze and predict driveline torsional oscillations and their effect on low frequency booming noise and vibration. In this context, Model Based System Testing (MBST) can be defined as the framework that combines physical testing and simulation with the objective of validating and improving the behavior of 1D multiphysical models. Tests are carried out to obtain insight in the dynamical system behavior, as well as to obtain specific component parameters. This data is then used to create and improve 1D models of the full vehicle driveline, and to predict booming noise characteristics.