- Engineering Workflow Automation
- Design Space Exploration
With Optimus, development teams set up a procedure to optimize ride & handling of a tractor-semitrailer combination, and derive the corresponding design targets for its suspension systems.
Optimus software enabled development engineers to automate the evaluation of various suspension configurations in context of full vehicle performance. Using Optimus, engineers simulated the various road test events that are required to determine the vehicle’s ride and handling metrics and to set the suspension design targets which will contribute to delivering the anticipated vehicle ride and handling properties.
The automated process includes designing the optimal set of virtual experiments and generating the surrogate models for each vehicle performance metric, as a basis for multiobjective design optimization. Using the surrogate models for vehicle performance optimization is much more efficient than sequentially running the physics simulation program in every iteration step of the optimization process - allowing to perform the optimization in seconds.
The development engineers decided to perform a probabilistic optimization that takes into account parameter variance, in addition to the mean parameter values that were considered during the deterministic design optimization. This approach enabled Optimus to successfully pull the design away from the constraint boundaries and deliver 6σ design robustness on full-vehicle level. The robust vehicle design only gave in just a tiny bit on the performance metrics achieved through deterministic optimization.