Continuous collision severity prediction

• US 6,816,766 B2
• Filed: 11/26/2002
• Issued: 11/09/2004
• Est. Priority Date: 11/26/2002
• Status: Active Grant

• Current Assignee: GM Global Technology Operations LLC (General Motors Company)
• Original Assignee: General Motors Corporation (Motors Liquidation Co. GUC Trust)
• Inventors: Wang, Jenne-Tai, Sala, Dorel M.
• Primary Examiner(s): Zanelli, Michael J.
• Application Number:
  US10/305,432
• Publication Number:
  US 20040102882A1
• Time in Patent Office: 714 Days
• Field of Search: 701/45, 280/728.1, 280/734, 280/735, 307/10.1
• US Class Current: 701/45
• CPC Class Codes: B60R 2021/01225 control of expansion volume
• CPC Class Codes: B60R 2021/01315 monitoring occupant displacement
• CPC Class Codes: B60R 21/0132 responsive to vehicle motion parameters , e.g. to vehicle longitudinal or transversal deceleration or speed value
• CPC Class Codes: B60R 21/0156 by deceleration

Abstract

A method for continuous collision severity prediction, the method comprising receiving vehicle acceleration data. A collision event is detected in response to receiving the vehicle acceleration data and to the acceleration data. A collision mode is determined in response to detecting the collision event. Input to the collision mode determination includes the acceleration data. A collision severity value responsive to the acceleration data and the collision mode is calculated. The collision severity value corresponds to a percentage inflation level of an airbag.

Claims

1. A method for continuous collision severity prediction, the method comprising:

receiving vehicle acceleration data from a sensing and diagnostic module (SDM) accelerometer and at least one electronic front sensor (EFS) accelerometer;

detecting a collision event in response to said receiving and to said acceleration data;

calculating velocity and displacement for said EFS and said SDM in response to said detecting, said calculating velocity and displacement responsive to said acceleration data;

determining a collision mode in response to said detecting, wherein input to said determining includes said EFS velocity, said EFS displacement, said SDM velocity and said SDM displacement;

calculating a collision severity value responsive to said SDM velocity, to said SDM displacement and to said collision mode, wherein said collision severity value corresponds to a percentage inflation level of an airbag, said percentage inflation level along a continuum ranging from not deployed to fully deployed; and

continuously monitoring said SDM velocity and said SDM displacement.

2. The method of claim 1 wherein said collision severity value is a number ranging from zero to one.

3. The method of claim 1 wherein said collision severity value is a percentage ranging from one to one-hundred.

4. The method of claim 1 wherein said continuously monitoring includes repeating said receiving vehicle acceleration data from said SDM accelerometer, said calculating said SDM velocity, said calculating said SDM displacement and said calculating a collision severity value, wherein said repeating occurs on a periodic basis for a pre-selected time interval following said detecting.

5. The method of claim 4 wherein said periodic basis is one millisecond and said pre-selected time interval is twenty milliseconds.

6. The method of claim 1 wherein said calculating a collision severity value is performed using a neural network approach.

7. The method of claim 6 wherein said calculating is performed in accordance with the function:

severity (t)=function (t, Sfd, Vfs, Vsd, Ss(t)) where,

t is elapsed time from collision detection,

Sfd is EFS displacement at initial airbag deployment time,

Vfd is EFS velocity at initial airbag deployment time,

Vsd is SDM velocity at initial airbag deployment time, and

Ss(t) is SDM displacement at time t.

8. The method of claim 7 wherein the parameters of said function correspond to said collision mode.

9. The method of claim 1 wherein said collision mode includes one of full frontal impact, angular impact, offset deformable barrier and pole impact.

10. The method of claim 1 further comprising transmitting said collision severity value to an airbag controller in response to said calculating a collision severity value.

11. The method of claim 10 wherein said airbag controller is in communication with said airbag and said airbag includes a variable output inflator responsive to said collision severity value.

12. The method of claim 10 wherein said airbag controller is in communication with a dual stage airbag.

13. A method for continuous collision severity prediction, the method comprising:

receiving vehicle acceleration data from a sensing and diagnostic module (SDM) accelerometer and at least one electronic front sensor (EFS) accelerometer;

detecting a collision event in response to said receiving and to said acceleration data;

calculating velocity and displacement data for said SDM and said EFS in response to said detecting, said calculating velocity and displacement data responsive to said acceleration data;

determining a collision mode in response to said detecting, wherein input to said determining includes said velocity and said displacement data;

comparing said velocity data and said displacement data with corresponding velocity and displacement threshold values to determine if an airbag requires activation;

activating the airbag if said comparing results in a determination that said activation is required;

transmitting an initial airbag inflation level to an airbag controller connected to the airbag in response to said activating;

calculating a collision severity value responsive to said SDM accelerometer data and to said collision mode, wherein said collision severity value corresponds to a percentage inflation level of the airbag, said percentage inflation level along a continuum ranging from not deployed to fully deployed; and

transmitting said collision severity value to said airbag controller in response to said calculating.

14. A system for continuous collision severity prediction, the system comprising:

a SDM accelerometer;

at least one EFS accelerometer; and

a collision detection controller in communication with airbag controller, said SDM accelerometer and said at least one EFS accelerometer, said collision controller including instructions to implement a method comprising;

receiving vehicle acceleration data from said SDM accelerometer and said EFS accelerometer;

detecting a collision event in response to said receiving and to said acceleration data;

calculating velocity and displacement for said EFS and said SDM in response to said detecting, said calculating velocity and displacement responsive to said acceleration data;

determining a collision mode in response to said detecting, wherein input to said determining includes said EFS velocity, said EFS displacement, said SDM velocity and said SDM displacement;

calculating a collision severity value responsive to said SDM velocity, to said SDM displacement and to said collision mode, wherein said collision severity value corresponds to a percentage inflation level of an airbag, said percentage inflation level along a continuum ranging from not deployed to fully deployed; and

continuously monitoring said SDM velocity and said SDM displacement.

15. The system of claim 14 wherein said collision detection controller includes instructions to implement a method further comprising transmitting said collision severity value to an airbag controller.

16. The system of claim 15 wherein said airbag controller is in communication with said airbag and said airbag includes a variable output inflator responsive to said collision severity value.

17. The system of claim 14 wherein said communication is over a network.

18. The method of claim 16 wherein said continuously monitoring includes repeating said receiving vehicle acceleration data from said SDM accelerometer, said calculating said SDM velocity, said calculating said SDM displacement and said calculating a collision severity value, wherein said repeating occurs on a periodic basis for a selected time interval following said detecting.

19. A method for continuous collisions severity prediction, the method comprising:

receiving vehicle acceleration data;

detecting a collision event in response to said receiving and to said acceleration data;

determining a collision mode in response to said detecting, wherein input to said determining includes said acceleration data; and

calculating a collision severity value responsive to said acceleration data and to said collision mode wherein said collision severity value corresponds to a percentage inflation level of an airbag and said calculating is performed using a regression approach.

20. A method for continuous collisions severity prediction, the method comprising:

receiving vehicle acceleration data including;

an elapsed time from collision detection, t;

a SDM coefficient of displacement, ks;

a SDM coefficient of velocity, kv;

a SDM velocity at initial airbag deployment time, Vsd; and

a SDM displacement at lime t, Ss(t);

detecting a collision event in response to said receiving and to said acceleration data;

determining a collision mode in response to said detecting, wherein input to said determining includes said acceleration data; and

calculating a collision severity value responsive to said acceleration data and to said collision mode wherein said collision severity value corresponds to a percentage inflation level of an airbag and said calculating is performed in accordance with the equation;

severity (t)=(ks·

{Ss(t)/t²})−

(kv·

{Vsd/t}).

21. The method of claim 20 wherein said SDM coefficient of velocity and said SDM coefficient of displacement correspond to said collision mode.