Browse Publications Technical Papers 2024-01-2918
2024-06-12

Electric Vehicle Ride & Vibrations Analysis - Full electric vehicle MBD model development for NVH studies 2024-01-2918

The NVH performance of electric vehicles is a key indicator of vehicle quality, being the structure-borne transmission predominating at low frequencies. Many issues are typically generated by high vibrations, transmitted through different paths, and then radiated acoustically into the cabin. A combined analysis, with both finite-element and multi-body models, enables to predict the interior vehicle noise and vibration earlier in the development phases, to reduce the development time and moreover to optimize components with an increased efficiency level. In the present work, a simulation of a Hyundai electric vehicle has been performed in IDIADA VPG with a full vehicle multibody (MBD) model, followed by vibration/acoustic simulations with a Finite elements model (FEM) in MSC. Nastran to analyze the comfort. Firstly, a full vehicle MBD model has been developed in MSC. ADAMS/Car including representative flexible bodies (generated from FEM part models). The usage of a physical tire model and proper suspensions modelling has allowed to cascade time series loads induced by tire/road interaction to the body. Once derived, loads have been directly converted into frequency domain and back applied into the body FE structure, to predict the vibration response at main occupant tactile points: steering wheel, floor and seats. A sequential approach (gradual validation: Component → Subsystem → Full vehicle) has been followed to validate coupled model up to 100 Hz for full vehicle modal response (for modal identification, both body and powertrain modes) and stationary maneuvers (constant velocity events) while driving over deterministic inputs. The final part of the project has been dedicated to achieve proper correlation levels of the models in a global validation scenario, using different random road surfaces to identify appropriate vibration amplitudes as well as main running modes.

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