【摘要】 为提高汽车安全带约束系统的安全防护能力,通过实车碰撞实验对安全带约束系统数值模型进行校正;基于径向基函数建立安全带约束系统的近似模型,运用IP-GA遗传算法对安全带约束系统的动态特性参数进行优化。优化中为控制由近似模型所致误差,通过模型管理更新近似模型,并将误差达到允许范围内优化解作为实际问题的解。结果表明,该方法能快速有效获得安全带约束系统的最佳匹配参数,确保汽车乘员的安全性。更多还原

【Abstract】 In order to improve the protection capability of seat belt restraint systems,a numerical model of seat belt restraint systems was calibrated by vehicle crash experiments and an approximation model was constructed according to the radial basis function. The IP-GA genetic algorithm was employed to optimize the key parameters of the seat belt restraint system dynamic characteristics. To reduce the error from the approximate model,the management framework was used to update the approximate model and control the error in the optimization process. The optimal solutions with errors in given range can be treated as solutions to the problem. It was demonstrated that the proposed method could effectively find the optimal parameters of seat belt restraint systems and ensure their safety.更多还原