Simulation based optimization of torsional vibration dampers in automotive powertrains

In this paper, an approach for the automated design of isolation elements as used in automotive powertrains is presented. The method is based on 1D-MBS models representing various drivetrain configurations and damper concepts. This allows for a dynamical analysis in typical design relevant driving situations like full load acceleration or engine start. The concept design is carried out in a numerical optimization process in order to find a set of geometric parameters with minimal design space requirements and weight. Especially the specifications imposed on the drivetrain's vibrational behavior lead to a complex optimization problem which requires robust and carefully tuned algorithms. A search method that has been successfully applied to constrained design problems in engineering is the Augmented Lagrangian Particle Swarm Optimization procedure. The dimensioning of a dual mass flywheel with an additional internal damper for an all-wheel drive sports car is used as a test case to evaluate the algorithm's suitability for this particular application. Several control parameter settings are compared regarding their influence on the optimizer performance.