Abstract
The aim of this paper is to propose a methodology applicable for parameters identification in vehicle dynamics, aiming at generating reduced models to be adopted for functional analyses and real time simulations with the focus on enabling a model conversion scheme, allowing building a communication bridge between the 1D and the 3D simulation domains. A detailed multibody 3D vehicle dynamics benchmark case has been defined, which has been modelled in LMS Virtual.Lab Motion. In the 1D multiphysics environment of LMS Imagine.Lab Amesim a modular simplified vehicle representation has then been adopted, tested and functionally correlated with the reference, applying a parameter estimation algorithm, extendable from linear to non linear systems. To estimate the physical and structural parameters of the detailed benchmark model for use in the functional models, it is important to make clear how and to what extent the response of the system depends on each parameter. For this purpose, an extended sensitivity analysis has been carried out to define the most effective contribution to the behaviour of the simplified model. Finally, a recommended practice has been formulated for the use of parameter estimation schemes in the vehicle dynamics engineering process.
Keywords: Vehicle dynamics, concept modelling, multibody systems, parameter estimation, system optimization.