Multi-objective optimization model in the vehicle suspension system development process

Goran Šagi, Zoran Lulić, Petar Ilinčić (University of Zagreb)

CHALLENGE - This research is focused on the development of a multi-objective optimization model for a vehicle suspension system design. The aim is to efficiently combine a detailed kinematics model for the suspension system and a full vehicle simulation to evaluate vehicle handling, stability, ride comfort and meet legislative requirements in specific maneuvers.

SOLUTION - modeFRONTIER has been used to create a workflow to automate the analysis procedure. Lotus Suspension Analysis tool is used to model the suspension kinematics, results are then transferred to the CarSIM software to compute the full vehicle simulation. Several algorithms have been evaluated and results compared. Among these, the best results have been achieved with the FMOGA-II algorithm, which combines real and virtual individuals. 

BENEFITS - The proposed methodology enables to optimize a suspension system combining detailed kinematics and full vehicle dynamics. Results show how using the FMOGA-II algorithm short computational time, fast convergence and feasible solutions are achieved.