Abstract: This paper aims to study the parameters optimization of seat subsystem which plays the role of occupant protection in frontal crash. Firstly, a simulation model of driver‘s seat subsystem in a commercial vehicle for a frontal impact sled test is established and verified by sled test. Then, a sensitivity analysis is conducted on 11 design parameters with the design of experiment of optimal Latin hypercube, and 6 relatively most sensitive parameters are selected to construct a Kriging model for analyzing the influence of seat parameters on occupant protection effect in frontal crash. Finally, NSGA-II genetic algorithm is adopted to perform multi-objective optimization with minimizing the forward displacement and submergence of dummy’s H-point as objective. The results show that after optimization the forward displacement and submergence of dummy‘s H-point is reduced by 2.98% and 10.47% respectively, demonstrating the apparent effects of optimized seat subsystem in occupant protection.

Key words: frontal crash, sensitivity analysis, Kriging model, multi-objective optimization