Accurate Predictive Algorithm for Air Bag Expansion by Fusing the Conventional Predictive Algorithm and Proximity Sensor

Abstract

This paper is aimed at describing a new airbag scheme that might be categorized in the 1.5 generation. The airbag system always needs some delay time between the triggering and complete expanding. The existence of the delay time is the main cause of difficulty for accurate airbag triggering. The predictive airbag expanding algorithm that compensates the delay time was proposed and the validity was examined in the first generation development. Development of the 1.5 generation airbag systems with the higher performance is the authors' next problem. Airbag equipped in automobiles must receive driver's body at the optimal timing when collision by which the effect of airbag is extremely improved. The more accurate predictive airbag system is required. The algorithm combines the signal from the conventional acceleration sensor and that from a proximity sensor which provides the preview information of collision, and provides the accurate timing. The predictive algorithm based only on the signal from the acceleration sensor can predict driver's motion only after collision. The assistance of the proximity sensor to the conventional predictive algorithm provides the prediction before and after collision. It is considered theoretically how the proximity sensor use improves the prediction accuracy. Simulations are carried out to show the validity of the new method. (A) For the covering abstract of the conference see IRRD 492347.