Sensor based occupant protection system

• US 9,598,037 B2
• Filed: 09/03/2014
• Issued: 03/21/2017
• Est. Priority Date: 09/03/2014
• Status: Active Grant

• Current Assignee: GM Global Technology Operations LLC (General Motors Company)
• Original Assignee: GM Global Technology Operations LLC (General Motors Company)
• Inventors: Neal, Mark O., Wang, Jenne-Tai, Lin, Chin-Hsu, Dong, Ke, Sala, Dorel M.
• Primary Examiner(s): Shafi, Muhammad
• Application Number:
  US14/476,435
• Publication Number:
  US 20160059813A1
• Time in Patent Office: 930 Days
• Field of Search: 701/45
• US Class Current: 1/1
• CPC Class Codes: B60R 2021/01211 Expansion of air bags
• CPC Class Codes: B60R 2021/01279 Load limiters
• CPC Class Codes: B60R 21/01516 using force or pressure sensing means
• CPC Class Codes: B60R 21/01546 using belt buckle sensors
• CPC Class Codes: B60R 21/01554 Seat position sensors
• CPC Class Codes: B60W 40/08 related to drivers or passengers

Abstract

A system and method for optimizing various vehicle safety systems, such as airbags and seat belt load tensioning limiters, for a particular occupant of a vehicle seat, such as the vehicle driver or passenger, based on the weight of the occupant and the fore-aft position of the seat. The method senses the mass of the occupant and the position of the seat and classifies the combination of the mass and position. The method then determines the optimized setting of the safety systems for that combination classification, and automatically sets the safety systems to that setting. The method can also determine the optimized setting of the safety systems based on whether the occupant is wearing a seat belt.

Claims

1. A method for automatically optimizing settings for one or more safety systems on a vehicle for a particular occupant in a seat of the vehicle, said method comprising:

determining, using a mass sensor, a mass of the occupant while seated in the seat;

determining, using a seat position sensor, a fore-aft position of the seat;

classifying, using a controller including a processor and memory, a combination of the mass of the occupant and the position of the seat, where the mass of the occupant is classified as small, medium or large, and the position of the seat is classified as fore, mid or aft, resulting in nine possible classification combinations;

determining, using the controller, which of a plurality of safety system settings the classification combination falls in, where the classification combination is assigned to one of three safety system settings, and the safety system settings include small mass-fore seat, large mass-aft seat, and all-other; and

setting the vehicle safety systems for that classification combination.

2. The method according to claim 1 further comprising determining whether a seat belt for the seat has been buckled, wherein determining the setting of the vehicle safety systems includes determining different settings for whether the occupant is wearing the seat belt or not.

3. The method according to claim 1 wherein determining which of a plurality of safety system settings the classification combination falls in includes identifying classification areas for each of the safety settings where the classification areas include a plurality of combinations of occupant mass and seat position.

4. The method according to claim 3 wherein boundaries of the classification areas are determined by creating a large number of crash simulation models with different occupant mass and occupant seat positions that span the range of all of the plurality of combinations of occupant mass and seat position, performing crash simulations for each of these occupants, where each simulation is for one of the safety system settings, and using known measures of injury probability to calculate an overall injury probability for each occupant for each safety system setting.

5. The method according to claim 1 wherein the three different system settings include settings for a fifth percentile female for the small mass-fore seat, a fiftieth percentile male for the all-other and a ninety-fifth percentile male for the large mass-aft seat.

6. The method according to claim 1 wherein the vehicle safety systems include vehicle airbag systems and vehicle seat belt load-limiters.

7. The method according to claim 1 wherein the seat is a driver seat or a passenger seat.

8. A method for automatically optimizing settings for one or more safety systems on a vehicle for a particular occupant in a seat of the vehicle, said method comprising:

determining, using a mass sensor, a mass of the occupant while seated in the seat;

determining, using a seat position sensor, a fore-aft position of the seat;

classifying, using a controller including a processor and memory, a combination of the mass of the occupant and the position of the seat, where the mass of the occupant is classified as small, medium or large, and the position of the seat is classified as fore, mid or aft, resulting in nine possible classification combinations;

determining, using the controller, which of a plurality of safety system settings the classification combination falls in, where the classification combination is assigned to one of three safety system settings, and the safety system settings include small mass-fore seat, large mass-aft seat, and all-other;

determining, using a seat belt engagement sensor, whether a seat belt for the seat has been buckled; and

setting the vehicle safety systems for that classification combination and whether the seat belt is buckled.

9. The method according to claim 8 wherein the three different safety system settings include settings for a fifth percentile female for the small mass-fore seat, a fiftieth percentile male for the all-other and a ninety-fifth percentile male for the large mass-aft seat.

10. The method according to claim 8 wherein the vehicle safety systems include vehicle airbag systems and vehicle seat belt load-limiters.

11. The method according to claim 8 wherein the seat is a driver seat or a passenger seat.

12. An optimization system for automatically optimizing settings for one or more safety systems on a vehicle for a particular occupant in a seat of the vehicle, said optimization system comprising:

a mass sensor for determining a mass of the occupant while seated in the seat;

a seat position sensor for determining a fore-aft position of the seat;

a controller including a processor and memory, said controller including a first algorithm for classifying a combination of the mass of the occupant and the position of the seat, where the mass of the occupant is classified as small, medium or large, and the position of the seat is classified as fore, mid or aft, resulting in nine possible classification combinations;

a second algorithm on the controller for determining which of a plurality of safety system settings the classification combination falls in, where the classification combination is assigned to one of three safety system settings, and the safety system settings include small mass-fore seat, large mass-aft seat, and all-other; and

a communications path between the controller and the vehicle safety systems for setting the vehicle safety systems for that classification combination.

13. The optimization system according to claim 12 further comprising a seat belt engagement sensor for determining whether a seat belt for the seat has been buckled, wherein the second algorithm includes determining different settings for whether the occupant is wearing the seat belt or not.

14. The optimization system according to claim 12 wherein the three different system settings include settings for a fifth percentile female for the small mass-fore seat, a fiftieth percentile male for the all-other and a ninety-fifth percentile male for the large mass-aft seat.

15. The optimization system according to claim 12 wherein the vehicle safety systems include vehicle airbag systems and vehicle seat belt load-limiters.