Load limiter configuration using multidimensional model

• US 10,668,884 B2
• Filed: 12/21/2017
• Issued: 06/02/2020
• Est. Priority Date: 01/12/2016
• Status: Active Grant

• Current Assignee: Tesla Inc.
• Original Assignee: Tesla Inc.
• Inventors: Cooper, John, Gopal, Madan, Luz, Bruno A., Zhang, Honglu
• Primary Examiner(s): To, Tuan C
• Application Number:
  US15/849,831
• Publication Number:
  US 20180111576A1
• Time in Patent Office: 894 Days
• Field of Search: 701 45
• CPC Class Codes: B60R 21/01516 using force or pressure sensing means
• CPC Class Codes: B60R 21/01544 detecting seat belt parameters, e.g. length, tension or height-adjustment
• CPC Class Codes: B60R 21/01554 Seat position sensors

Abstract

A vehicle seat restraint system includes a control system and a second-row restraint system. The control system receives a first-row seat value and a second-row seat value from seat sensors. The control system generates relative position data for a first-row seat and a second-row seat based upon the first-row seat value and the second-row seat value. The control system selects a load limiter setting value using a multidimensional load limiter model based upon body impact values as a function of load limiter setting values and the relative position data, a selected load limiter setting value outside a value avoidance zone for the body impact values. The second-row restraint system is configured by the control system with the selected load limiter setting value. The control system may also determine an occupant weight value and select the load limiter setting value using the occupant weight value.

Claims

1. A vehicle seat restraint system comprising:

a control system configured to;

receive a first-row seat value from a first seat sensor;

receive a second-row seat value from a second seat sensor;

generate relative position data for a first-row seat and a second-row seat based upon the first-row seat value and the second-row seat value; and

select a load limiter setting value using a multidimensional load limiter model based upon body impact values as a function of load limiter setting values and the relative position data, a selected load limiter setting value outside a value avoidance zone for the body impact values; and

a second-row restraint system configured by the control system with the selected load limiter setting value.

2. The vehicle seat restraint system of claim 1, wherein the multidimensional load limiter model is further based on restraint interaction values as a function of the relative position data.

3. The vehicle seat restraint system of claim 1, wherein the selected load limiter setting value includes a force value and the second-row restraint system performs belt payout when a force on the second-row restraint system is approximately equal to the force value.

4. The vehicle seat restraint system of claim 1, wherein at least one of the first-row seat value and the second-row seat value includes one or more of:

a lift height value;

a back recline position value;

a tilt position value;

a pitch position value;

or

a headrest position value.

5. The vehicle seat restraint system of claim 1, wherein the value avoidance zone corresponds to the body impact values being above a limit.

6. The vehicle seat restraint system of claim 1, wherein the value avoidance zone indicates expected body contact with the first-row seat.

7. The vehicle seat restraint system of claim 1, wherein the multidimensional load limiter model considers expected crash severity.

8. A method for operating a vehicle seat restraint system comprising:

receiving a first-row seat value from a first seat sensor;

receiving a second-row seat value from a second seat sensor;

generating relative position data for a first-row seat and a second-row seat based upon the first-row seat value and the second-row seat value; and

selecting a load limiter setting value using a multidimensional load limiter model based upon body impact values as a function of load limiter setting values and the relative position data, a selected load limiter setting value outside a value avoidance zone for the body impact values; and

configuring a second-row restraint system with the selected load limiter setting value.

9. The method of claim 8, wherein the multidimensional load limiter model is further based on restraint interaction values as a function of the relative position data.

10. The method of claim 8, further comprising:

determining an occupant weight value for an occupant in the second-row seat based upon data received from an occupant weight sensor; and

selecting the load limiter setting value further based upon the occupant weight value.

11. The method of claim 8, wherein the selected load limiter setting value includes a force value and the second-row restraint system performs belt payout when a force on the second row restraint system is approximately equal to the force value.

12. The method of claim 8, wherein at least one of the first-row seat value and the second-row seat value includes at least one of:

a lift height value;

a back recline position value;

a tilt position value;

a pitch position value;

or

a headrest position value.

13. The method of claim 8, wherein the value avoidance zone corresponds to the body impact values being above a limit.

14. The method of claim 13, wherein the value avoidance zone indicates expected body contact with the first-row seat.

15. The method of claim 8, wherein the multidimensional load limiter model considers expected crash severity.

16. A vehicle seat restraint system comprising:

a control system configured to;

receive a first-row seat value from a first seat sensor;

receive a second-row seat value from a second seat sensor;

generate relative position data for a first-row seat and a second-row seat based upon the first-row value and the second-row seat value;

determine an occupant weight value for an occupant in the second-row seat based upon data received from an occupant weight sensor; and

select a load limiter setting value using a multidimensional load limiter model based upon body impact values as a function of load limiter setting values, the relative position data, and the occupant weight value, a selected load limiter setting value outside a value avoidance zone for the body impact values; and

a second-row restraint system configured by the control system with the selected load limiter setting value.

17. The vehicle seat restraint system of claim 16, wherein the multidimensional load limiter model is further based on restraint interaction values as a function of the relative position data.

18. The vehicle seat restraint system of claim 16, wherein the multidimensional load limiter model depends on occupant weight categories.

19. The vehicle seat restraint system of claim 16, wherein the value avoidance zone corresponds to the body impact values being above a limit.

20. The vehicle seat restraint system of claim 16, wherein the value avoidance zone indicates expected body contact with the first-row seat.