基于多目标优化的儿童座椅匹配方法

基于一款已获得国家专利的集成式儿童安全座椅约束系统参数可调的特征,选择座椅高度、靠背角度、安全带限力器限力值为优化变量,以儿童乘员头部损伤、胸部损伤、颈部损伤为优化目标,采用多项式回归近似模型和多目标进化算法相结合的方法对该集成式儿童座椅在保护3岁、6岁、10岁儿童乘员时的可调约束参数进行了多目标优化.结果表明:优化后的约束参数能对上述儿童乘员提供更好的保护作用,优化效果显著.最后在得到的3组优化约束参数的基础上,提出了一种针对3～10岁不同身材儿童的自适应匹配方法.

Study of Matching Method for a Child Seat Based on Multi-objective Optimization

According to the adjustable restraint parameters of an integrated child safety seat, the seat height, seatback angle and force limiter value of the seat belt were chosen as optimization variables.This integrated child safety seat has obtained a national patent.The values of injury criteria of the head, the chest and the neck were chosen as optimization goals.Approximate model of polynomial regression and multi-objective evolutionary algorithm were adopted to optimize the restraint parameters of the integrated child safety for the protection of 3-year-old, 6-year-old and 10-year-old child occupants.The results demonstrated that the effect of optimization was significant.Finally, an adaptive matching method for seats for 3~10-year-old children passengers was proposed on the basis of three optimal restraint parameters.