Method and control system for predictive deployment of side-impact restraints

• US 20050206142A1
• Filed: 03/05/2004
• Published: 09/22/2005
• Est. Priority Date: 03/05/2004
• Status: Active Grant

• Current Assignee: Ford Global Technologies, LLC (Ford Motor Company)
• Original Assignee: Ford Global Technologies, LLC (Ford Motor Company)
• Inventors: Prakah-Asante, Kwaku O., Rao, Manoharprasad K., Strumolo, Gary S.
• Granted Patent: US 7,712,776 B2
• Time in Patent Office: Days
• US Class Current: 280/735
• CPC Class Codes: B60R 2021/0006 Lateral collision
• CPC Class Codes: B60R 2021/01034 Controlling a plurality of restraint devices
• CPC Class Codes: B60R 21/013 including means for detecting collisions, impending collisions or roll-over
• CPC Class Codes: B60R 21/0134 responsive to imminent contact with an obstacle , e.g. using radar systems
• CPC Class Codes: B60R 21/01512 Passenger detection systems

Abstract

A side-impact control system (10) for a vehicle (12) includes an adaptive restraint (15). A side sensor (30) is configured to detect an object, in a restraint dependent detection zone (60) along a side (13) of the vehicle (12), and generates an object detection signal. A controller (16) determines an activation time for and a deployment status of the adaptive restraint (15), and activates the adaptive restraint (15) before or after contact between the object and the side (13).

Claims

1. A side-impact adaptive restraints control system for a vehicle comprising:

at least one adaptive restraint;

at least one side sensor configured to detect at least one object, in at least one restraint dependent detection zone along a side of the vehicle, and generating object detection signals; and

a controller determining a restraint dependent decision-making zone within said at least one restraint dependent detection zone, an activation time for and a deployment status of the adaptive restraint, and activating said at least one adaptive restraint before contact between said at least one object and said side.

2. A system as in claim 1 wherein said at least one adaptive restraint is an electronically augmented restraint selected from at least one of a side airbag, a side curtain, an internal restraint, an external restraint, an airbag, a pretensioner, a seatbelt controller, a head restraint controller, and a load limiting device.

3. A system as in claim 1 wherein said at least one object detection sensor is selected from at least one of a radar sensor, a lidar sensor, a vision sensor, an ultrasonic sensor, and an infrared sensor configured in response to adaptive restraint deployment characteristics.

4. A system as in claim 1 wherein said at least one restraint dependent detection zone and said restraint dependent decision-making zone comprise:

a first detection zone approximately covering a first area between 2 o'"'"'clock and 4 o'"'"'clock relative to the vehicle, and a variable decision-making zone determined in response to adaptive restraint time constants and trajectory of the vehicle; and

a second detection zone approximately covering a second area between 8 o'"'"'clock and 10 o'"'"'clock relative to the vehicle, and a variable decision-making zone determined in response to said adaptive restraint time constants and trajectory of the vehicle.

5. A system as in claim 1 wherein said controller in determining a deployment time determines and verifies plausibility of at least one of range, change in range, range-rate, position, last predicted closest position, and heading of said at least one object relative to the vehicle.

6. A system as in claim 1 wherein said controller in determining a deployment time determines an amount of time said at least one object is in said at least one restraint dependent detection zone and generates an in-zone time signal.

7. A system as in claim 6 wherein said controller in determining a deployment time tracks objects in said at least one decision zone and confirms that a number of sampled returns is greater than

$\frac{R_{\max }}{V_{\mathrm{rel}}}$

T sens , ⁢

 

where V_rel is a relative velocity, R_max is a maximum range threshold for decision-making, and T_sens is a sampling time.

8. A system as in claim 1 wherein said controller determines a minimum relative velocity and filters objects that are parallel to the vehicle and determines a potential collision severity given by

${\lambda }_{}$

sev = G rs ⁢

G 1 ⁡

( V rel V 0 )

where G_rs is an object detection sensor reliability gain, G₁ is a relative velocity regulatory gain, V_rel is a relative velocity, and V₀ is a threshold velocity.

9. A system as in claim 1 further comprising a yaw rate sensor generating a yaw rate signal, said controller determining said activation time and said deployment status in response to said yaw rate signal.

10. A system as in claim 1 further comprising a steering angle sensor generating a heading signal, said controller determining said activation time and said deployment status in response to said heading signal.

11. A system as in claim 1 wherein said controller in determining said activation time determines a lateral velocity of the vehicle and compares said lateral velocity with a relative velocity and a tolerance value to determine potential collision with a stationary object.

12. A system as in claim 1 further comprising at least one occupant characteristic sensor generating occupant characteristic signals, said controller determining said activation time and said deployment status, and activating said at least one adaptive restraint in response to said occupant characteristic signals.

13. A system as in claim 1 wherein said controller in activating said at least one adaptive restraint compares a predicted contact time with said activation time in addition to a time-delay, and synchronizes a time difference between said predicted contact time and said activation time with an internal counter to assure precise deployment time.

14. A system as in claim 1 wherein said controller performs a side-collision confirmation and in response thereto prevents inadvertent activation of at least one front restraint.

15. A method of controlling activation of adaptive restraints within a vehicle comprising:

detecting at least one object, in a restraint dependent detection and decision-making zone along a side of the vehicle, and generating object detection signals;

generating a collision confirmation signal indicative of contact between said at least one object and the vehicle;

determining an activation time for and a deployment status of said at least one adaptive restraint before contact between said at least one object and said side; and

activating said at least one adaptive restraint in response to said collision confirmation signal.

16. A method as in claim 15 wherein activating said at least one adaptive restraint comprises:

comparing a predicted contact time with said activation time in addition to a time-delay;

determining a time difference between said predicted contact time and said activation time for sensor and microprocessor sampling rate synchronization; and

comparing said collision confirmation signal with a threshold value.

17. A method as in claim 16 wherein said threshold value is equal to

$K_s$

V cal V rel ⁢

δ

cal

where K_s is a gain-scheduled parameter, V_cal is a threshold velocity, δ

_cal is a calibrated confirmation signal constant, and V_rel is a relative velocity.

18. A method as in claim 16 wherein said threshold value is adjusted when said at least one object is determined to be a stationary object.

19. An adaptive restraint control system for a vehicle comprising:

at least one adaptive restraint;

at least one side sensor configured to detect at least one object, in at least one restraint dependent detection and decision-making zone along a side of the vehicle, and generating object detection signals; and

a controller determining a deployment time for and a deployment status of said at least one adaptive restraint, and activating said at least one adaptive restraint before or after contact between said at least one object and said vehicle side, and in response to a multi-stage deployment algorithm.

20. A system as in claim 19 wherein said multi-stage deployment algorithm is an airbag multi-stage deployment algorithm with a restraint determining value given by

${\mathrm{Res}}_{\det }=G_{\mathrm{ws}}$

G 2 ⁡

( W occ W 0 ) ⁢

λ

sev + G ps ⁡

( p occ - p 0 )

where G_ws is a weight sensor reliability gain, G₂ is a weight regulatory gain, W_occ is an occupant weight, W₀ is a weight threshold, G_ps is an occupant proximity sensor reliability gain, p_occ is an occupant position relative to interior side of the vehicle, and p₀ is a threshold position.