Case Study: Autoliv achieves 95%+ faster crash simulation with Hexagon ODYSSEE CAE

Method for efficient combined avoidance maneuver and crash analysis using active human body modeling

Autoliv, the world's largest automotive safety supplier, faced the challenge of enhancing its crash simulations. Conventional modeling used a rigid human body and did not account for pre-crash maneuvers like swerving or braking, which tense a passenger's muscles and alter their position. The company's new, more realistic approach that included these factors was so computationally heavy that a single simulation took days, making parameter optimization impossible. Autoliv turned to Hexagon to use machine learning techniques to reduce this time.

Hexagon implemented its ODYSSEE CAE solution to create a reduced order model (ROM) of the complex simulations. This allowed Autoliv to run comprehensive crash models on a standard laptop instead of a large research cluster. The solution delivered a dramatic reduction in computation time; one complex simulation's run time decreased from over 47 hours on a 32-core cluster to under 2 hours on a 4-core laptop, a reduction of more than 96%. This enabled Autoliv to perform crucial parametric optimization to improve vehicle safety and set new trends in safety analysis.

Autoliv

Bengt Pipkorn

Director of Simulation