Method for setting, calibrating, and verifying an occupation classification system threshold
First Claim
1. A method for setting an occupant classification system threshold for a vehicle occupant detection system, the method comprising:
- collecting occupant classification system data for a seat, the data being indicative of occupant weight;
analyzing the data to determine where a separation exists between an occupant for which a restraint should be suppressed and an occupant for which the restraint should be deployed; and
analyzing the data to determine a worst case child suppression weight and shape, which is based at least on where the separation exists;
wherein the worst case child suppression weight and shape define the occupant classification system threshold.
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Accused Products
Abstract
The invention is directed to a method for setting an occupant classification system threshold for a vehicle occupant detection system, the method comprising collecting occupant classification system data for a seat, the data being indicative of occupant weight, analyzing the data to determine where a separation exists between an occupant for which a restraint should be suppressed and an occupant for which the restraint should be deployed, and analyzing the data to determine a worst case child suppression weight and shape, which is based at least on where the separation exists. The worst case child suppression weight and shape define the occupant classification system threshold.
12 Citations
18 Claims
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1. A method for setting an occupant classification system threshold for a vehicle occupant detection system, the method comprising:
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collecting occupant classification system data for a seat, the data being indicative of occupant weight; analyzing the data to determine where a separation exists between an occupant for which a restraint should be suppressed and an occupant for which the restraint should be deployed; and analyzing the data to determine a worst case child suppression weight and shape, which is based at least on where the separation exists; wherein the worst case child suppression weight and shape define the occupant classification system threshold. - View Dependent Claims (2, 3, 4, 5, 6)
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7. A method for calibrating an occupant classification system threshold for a vehicle occupant detection system, the method comprising:
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collecting occupant classification system data for a seat, the data being indicative of occupant weight; analyzing the data to determine where a separation exists between an occupant for which a restraint should be suppressed and an occupant for which the restraint should be deployed; analyzing the data to determine a worst case child suppression weight and shape, which is based at least on where the separation exists; providing a weight drop head having the worst case child suppression shape; applying the worst case child suppression weight to a seat of the type for which the occupant classification system data was collected using the weight drop head having the worst case child suppression shape; recording a signal indicative of the applied worst case child suppression weight and shape; and recording the occupant classification system threshold based on the signal. - View Dependent Claims (8, 9, 10, 11, 12, 13, 14)
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15. A method for verifying an occupant classification system threshold for a vehicle occupant detection system, the method comprising:
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collecting occupant classification system data for a seat, the data being indicative of occupant weight; analyzing the data to determine where a separation exists between an occupant for which a restraint should be suppressed and an occupant for which the restraint should be deployed; analyzing the data to determine a worst case child suppression weight and shape, which is based at least on where the separation exists; providing a weight drop head having the worst case child suppression shape; applying the worst case child suppression weight to a seat of the type for which the occupant classification system data was collected using the weight drop head having the worst case child suppression shape; recording a first signal indicative of the applied worst case child suppression weight and shape; applying the worst case child suppression weight to the seat using the weight drop head having the worst case child suppression shape; recording a second signal indicative of the applied worst case child suppression weight and shape; and verifying that the first and second signals are within a specified tolerance. - View Dependent Claims (16, 17, 18)
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Specification