To address the high-frequency noise generated by traction motors in
electric vehicles, it is essential to accurately characterize the dynamic stiffness
of motor-mount rubber bushings. However, this task is challenging because
rubber bushings exhibi...
To address the high-frequency noise generated by traction motors in
electric vehicles, it is essential to accurately characterize the dynamic stiffness
of motor-mount rubber bushings. However, this task is challenging because
rubber bushings exhibit strongly nonlinear and rapidly varying frequencydependent
behavior at higher frequencies. Accordingly, this study measures
the high-frequency dynamic stiffness of rubber bushings and represents it
with a compact set of parameters through a lumped-parameter modeling
approach. To this end, a jig and test bench with controlled preload were
developed, and the intrinsic dynamic response of the bushing was extracted
using Virtual Point Transformation and Inverse Substructuring. This
procedure enabled the identification of the six-DOF dynamic stiffness under
high-frequency and varying-preload conditions.
Building on these measurements, a fractional-order lumped-parameter
model was formulated for the target range below 800 Hz. The model consists
of a single mass combined with a fractional viscoelastic element, and its
parameters were identified through a hybrid PSO–NLSQ procedure. The
resulting model represents the measured complex stiffness with a compact
parameter set, indicating potential applicability in subsequent NVH analyses
of motor-mount assemblies.