Occupant Injury Response Prediction Prior to Crash Based on Pre-Crash Systems Tsinghua University

Format:

Conference/Event

Author/Creator:

Luo, Luo, author.

Contributor:

Du, Wenjing

Li, Hao

Li, Peiyu

Ma, Chunsheng

Xu, Shucai

Zhang, Jinhuan

Conference Name:

WCX 17: SAE World Congress Experience (2017-04-04 : Detroit, Michigan, United States)

Language:

English

Physical Description:

1 online resource

Place of Publication:

Warrendale, PA SAE International 2017

Summary:

AbstractOccupant restraint systems are developed based on some baseline experiments. While these experiments can only represent small part of various accident modes, the current procedure for utilizing the restraint systems may not provide the optimum protection in the majority of accident modes. This study presents an approach to predict occupant injury responses before the collision happens, so that the occupant restraint system, equipped with a motorized pretensioner, can be adjusted to the optimal parameters aiming at the imminent vehicle-to-vehicle frontal crash. The approach in this study takes advantage of the information from pre-crash systems, such as the time to collision, the relative velocity, the frontal overlap, the size of the vehicle in the front and so on. In this paper, the vehicle containing these pre-crash features will be referred to as ego vehicle. The information acquired and the basic crash test results can be integrated to predict a simplified crash pulse. The injury of the occupant in the ego vehicle can thus be predicted using this crash pulse. The approach is verified by some vehicle-to-vehicle crash tests

Notes:

Vendor supplied data

Publisher Number:

2017-01-1471

Access Restriction:

Restricted for use by site license