Method of characterizing an adult occupant of a vehicle seat based on a measure of seated weight

• US 20050072618A1
• Filed: 10/07/2003
• Published: 04/07/2005
• Est. Priority Date: 10/07/2003
• Status: Active Grant

• Current Assignee: Aptiv Technologies AG
• Original Assignee: Delphi Technologies, Inc. (BorgWarner Incorporated)
• Inventors: Higbee, Jay W., Gray, Charles A., Patterson, James F.
• Granted Patent: US 7,133,752 B2
• Time in Patent Office: Days
• US Class Current: 180/274
• CPC Class Codes: B60R 21/01512 Passenger detection systems

Abstract

A weight-based occupant characterization method reliably distinguishes between large and small adult occupants by dynamically adjusting a threshold used to distinguish between large and small adult occupants. The threshold adjustments effectively increase the separation between the detected weight and the threshold, minimizing oscillation of the determined characterization following an initial occupant characterization. A learning routine gradually adjusts the threshold up to a predefined maximum adjustment so long as the detected weight is within a tolerance or hysteresis band, or a locking routine produces a step change adjustment of the threshold when the detected weight is outside the tolerance or hysteresis band for at least a predefined time.

Claims

1. A method of distinguishing between large adult and small adult occupants of a vehicle seat based on a comparison of a measured seated weight of an occupant to a weight threshold having an initial calibrated value, comprising the steps of:

detecting a condition for which the measured seated weight is consistently above the weight threshold or consistently below the weight threshold for at least a predefined time interval; and

adjusting the threshold in response to the detected condition so as to increase a separation between the threshold and the measured seated weight.

2. The method of claim 1, including the steps of:

defining a tolerance window about said threshold, and detecting a threshold learning condition for which the measured seated weight is consistently above the weight threshold or consistently below the weight threshold, but within said tolerance window, for at least said predefined time interval; and

carrying out a progressive adjustment of the threshold in a direction to increase the separation between the threshold and the measured seated weight so long as the threshold learning condition is detected.

3. The method of claim 2, including the step of:

interrupting the progressive adjustment of the threshold when a difference between the threshold and said calibrated value reaches a maximum adjustment value.

4. The method of claim 1, including the steps of:

defining a tolerance window about said threshold, and detecting a threshold locking condition for which the measured seated weight is consistently above the weight threshold or consistently below the weight threshold, and outside said tolerance window, for at least said predefined time interval; and

carrying out a step adjustment of the threshold to immediately increase the separation between the threshold and the measured seated weight in response to detection of the threshold locking condition.

5. The method of claim 1, including the steps of:

defining a tolerance window about said threshold;

detecting a threshold locking condition for which the measured seated weight is consistently above the weight threshold or consistently below the weight threshold, and outside said tolerance window, for at least a first predefined time interval; and

if said threshold locking condition is not detected, detecting a threshold learning condition for which the measured seated weight is consistently above the weight threshold or consistently below the weight threshold, but within said tolerance window, for at least a second predefined time interval.

6. The method of claim 5, including the steps of:

carrying out a step adjustment of the threshold to immediately increase the separation between the threshold and the measured seated weight if the threshold locking condition is detected; and

carrying out a progressive adjustment of the threshold in a direction to increase the separation between the threshold and the measured seated weight if the threshold locking condition is not detected and the threshold learning condition is detected.

7. The method of claim 6, including the step of:

interrupting said progressive adjustment of the threshold when a difference between the threshold and said calibrated value reaches a maximum adjustment value.