As autonomous vehicles (AVs) are introduced to the market, it is expected that the customers’ focus while commuting will shift from driver-related to non-driver-related tasks and, as a result, more isolation from road noise, component noise and the environment may be required. Furthermore, with a fully symmetric AV, one must consider that there is no front or back of the vehicle and that there is no seat position that is considered “the most important”; in other words, all seating positions are equally important. As a result, a major focus on airborne noise isolation must be considered early in the vehicle development phase to avoid either costly changes late in the program or dissatisfied customers in the market. To achieve this, a Statistical Energy Analysis (SEA) model was utilized to support the development of a “new” vehicle platform for an autonomous electric vehicle. It is well known that traditional SEA models are developed from existing prototypes or mule vehicles; however, as a new incumbent original equipment manufacturer (OEM) this is not an option. This paper will highlight how existing and well-established computer-aided engineering (CAE) methodologies, such as SEA and Finite Element Method (FEM), can support the NVH design and development of a new vehicle architecture. The initial application of loads in the SEA model based solely on virtual models will be described, the challenges of unique load paths for an AV architecture, and the limitations of surface areas to be utilized for sound absorption within the cabin of an AV will be presented. Finally, the simulation results are validated against test results. The utilization of the SEA model in the virtual development phase in the program enabled the right targets to be set early on, avoid surprises with such a unique vehicle, and a reduction of turnaround time for countermeasure development.
Acoustic Package Development and Target Setting of an Autonomous Vehicle
Proceedings
International ATZ Conference on Vehicle Acoustics ; 2021 November 16, 2021 - November 17, 2021
30.08.2023
25 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Deutsch
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