Accurate Models for Complex Vehicle Components using Empirical Methods 2000-01-1625
Conventional computer models for complex vehicle components (like bushings and dampers) are often inadequate to represent behavior over wide frequency ranges, and/or at large amplitudes. New modeling methods circumvent these limitations by using laboratory measurements with neural networks. The new methods enable accurate simulation for nonlinear, frequency dependent components, having multiple inputs and outputs, under arbitrary excitation. This paper describes one such method, known as Empirical Dynamics Modeling. Examples are presented for vehicle shock absorbers and a rubber bushing. Benefits and limitations are discussed, along with requirements for interfacing to a conventional virtual prototyping environment.