针对某开发车型在整车移动可变形壁障碰撞（Mobile Deformable Barrier Crash,MPDB）摸底试验中,THOR假人胸部压缩量（54mm）远超C-NCAP高性能限值（35mm）的问题,本文开展优化研究。首先,基于对标合格的约束系统仿真模型,增加安全带端片预紧器与动态锁止锁舌,将胸压降至 46.4mm,损伤降低近 14%。为达成满分目标,以安全带限力等级等5个参数为设计变量,以胸部压缩量最小化为目标、以头部伤害（HIC≤400、3ms加速度≤64g）为约束,依托LSOPT软件构建径向基函数响应面模型,结合遗传算法进行多参数协同优化。最优参数组合下,仿真验证胸压降至 32.73mm;灵敏度分析明确安全带限力等级对胸压影响最显著。最终整车试验显示胸压为33.4mm,满足满分目标,证实优化策略有效可靠,为汽车碰撞乘员保护开发提供参考。

Aiming at the problem that the chest compression amount (54mm) of the THOR dummy far exceeded the high-performance limit (35mm) of C-NCAP in the Mobile Deformable Barrier Crash (MPDB) test of a certain developed vehicle model, this paper conducts an optimization study. Firstly, based on the simulation model of the qualified restraint system for benchmarking, the safety belt end plate pretensioner and the dynamic locking tongue were added, reducing the chest pressure to 46.4mm and the damage by nearly 14%. To achieve the full score goal, five parameters such as the force limiting level of the seat belt were taken as design variables, with the goal of minimizing chest compression and the constraint of head injury (HIC≤400, 3ms acceleration≤64g). The radial basis function response surface model was constructed relying on the LSOPT software, and multi-parameter collaborative optimization was carried out in combination with the genetic algorithm. Under the optimal parameter combination, the simulation verified that the chest pressure dropped to 32.73mm. Sensitivity analysis clearly indicates that the force limiting grade of the seat belt has the most significant impact on chest pressure. The final vehicle test showed that the chest pressure was 33.4mm, meeting the full score target. It confirmed that the optimization strategy was effective and reliable, providing a reference for the development of occupant protection in vehicle collisions.