1998-09-29

Airbag Sensor System Evaluation Methods 982357

This paper presents testing methodologies used for the evaluation of airbag sensor systems. The methods are geared towards the analysis of airbag deployment/non-deployment situations through the use of harsh and abusive tests that include both driving and stationary impact conditions. Readers of the paper will gain a broad understanding of the testing options that are available to develop suitable airbag sensor systems and deployment algorithms.
The methodologies presented in this paper address only the issue of preventing deployment in certain environments. The vehicle conditions are critical when developing the threshold of the deployment algorithm. The Rough Road and Abuse tests are an important part of developing this algorithm.
With airbag deployment threshold levels being such an important issue in the safety field, the test methods used to simulate real world conditions become an integral aspect to overall airbag development. The procedures presented in this paper are based upon numerous projects conducted for both auto manufacturers and airbag suppliers. The information about these tests, as well as the data presented in this paper, will be of great assistance to engineers involved in airbag development.

SAE MOBILUS

Subscribers can view annotate, and download all of SAE's content. Learn More »

Access SAE MOBILUS »

Members save up to 16% off list price.
Login to see discount.
Special Offer: Download multiple Technical Papers each year? TechSelect is a cost-effective subscription option to select and download 12-100 full-text Technical Papers per year. Find more information here.
We also recommend:
TECHNICAL PAPER

Optimization of Single-Point Frontal Airbag Fire Threshold

2000-01-1009

View Details

TECHNICAL PAPER

Crash Sensing and Algorithm Development for Frontal Airbag Systems Using CAE Methods and Mechanical Tests

2004-01-1633

View Details

STANDARD

The Effects of Front-Mounted Accessories on Air Bag Sensors and Crashworthiness

J2431_201910

View Details

X