The detection of accident scenarios is essential for a timely deployment of restraint devices and therefore for optimum protection of the vehicle occupants. Based on an innovative concept for crash detection, which involves measuring component-related local decelerations, this paper presents an entirely new method for the simulation and evaluation and estimates this with of a comprehensive set of crash load cases. With this approach, decelerations are detected directly at numerous individual components in the vehicle front end and are integrated in a velocity reduction using small time intervals. An evaluation based on multivariate statistical methods shows that the information content which results from exceedance of one defined velocity reduction threshold per measuring point is sufficient to safely distinguish between and classify all relevant load cases with a high level of independence. The concept has therefore proven to be functional and will be transferred to initial test series.

中文翻译：

---

基于局部分量减量的乘用车正面碰撞事件分类方法

事故场景的检测对于及时部署约束装置并因此对车辆乘员提供最佳保护至关重要。基于碰撞检测的创新概念（涉及测量与组件相关的局部减速度），本文提出了一种全新的仿真和评估方法，并通过一组全面的碰撞载荷情况对其进行了估算。通过这种方法，可以直接在车辆前端的多个独立组件处检测到减速，并以较小的时间间隔将其整合到速度降低中。基于多变量统计方法的评估表明，每个测量点超过一个定义的速度降低阈值所产生的信息内容足以安全地区分所有相关载荷工况并对其进行分类，并且具有很高的独立性。因此，该概念已被证明是可行的，并将被转移到初始测试系列中。