Abstract:

Presented an optimization matching method for vehicle front-end stiffness that focused on two vehicles with difference mass to improve the collision compatibility of vehicles and reduce the risk of occupant damage in actual traffic accidents. Based on the statistics of domestic sales data of 270 kinds of vehicles for 6.5 years between 2011-01—2017-07 in the mainland of China, established a probabilistic model of vehicle mass  distribution and a configuration of vehicle mass ratio. Proposed an optimization formula of front-end stiffness of single mass vehicle based on the statistical analysis for domestic vehicles. Built a finite element models (FEM) for double car collision by sleds and by vehicles by using software Hyperworks and Primer, and calculated to simulate by using software LS_DYNA. The simulation results show that the damage risk of the occupants is greater when the mass difference of two cars is greater. Optimizing the stiffness matching of the two vehicles will effectively reduce the vehicle peak acceleration during double car collision; as a result, reduce the occupant
injury risk in both vehicles.

Key words: automotive safety, passive safety,  double car collision, vehicle front-end stiffness, collision compatibility, digital simulation