Fuzzy logic control method for deployment of inflatable restraints
First Claim
1. A control method for controlling deployment of individual stages of a vehicle inflatable restraint based on at least one measure of vehicle acceleration during a crash event and an elapsed time of the crash event, the method comprising the steps of:
- computing a change in velocity corresponding to the measured acceleration;
determining a severity of the crash event by applying fuzzy logic membership functions and predetermined fuzzy logic rules to the elapsed time and the computed change in velocity; and
controlling deployment of the individual stages of the restraint based on comparisons of the elapsed time and the determined crash severity to respective predetermined thresholds.
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Accused Products
Abstract
An improved control for the deployment of individual stages of a vehicle inflatable restraint during a crash event utilizes a fuzzy logic control to determine the crash severity, and a deployment control algorithm to control deployment of the restraints based on the determined crash severity and the elapsed time. In a preferred implementation, the crash severity is not determined until the measured acceleration and the corresponding change in velocity exceed respective thresholds, and a prediction of occupant movement due to the measured acceleration exceeds a threshold. Once the respective thresholds are exceeded, the fuzzy logic control is initiated to determine the crash severity, and the deployment control algorithm determines whether to deploy individual stages of the restraint based on comparisons of the determined crash severity and the elapsed time with respective thresholds.
2 Citations
9 Claims
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1. A control method for controlling deployment of individual stages of a vehicle inflatable restraint based on at least one measure of vehicle acceleration during a crash event and an elapsed time of the crash event, the method comprising the steps of:
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computing a change in velocity corresponding to the measured acceleration;
determining a severity of the crash event by applying fuzzy logic membership functions and predetermined fuzzy logic rules to the elapsed time and the computed change in velocity; and
controlling deployment of the individual stages of the restraint based on comparisons of the elapsed time and the determined crash severity to respective predetermined thresholds. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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Specification