Load limiter configuration using multidimensional model

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.