Vehicle safety system implementing integrated active-passive front impact control algorithm

Patent metadata

Field	Value
Publication number	US-2021284091-A1
Application number	US-202016815719-A
Country	US
Kind code	A1
Filing date	Mar 11, 2020
Priority date	Mar 11, 2020
Publication date	Sep 16, 2021
Grant date	—

Abstract

A vehicle safety system for helping to protect a vehicle occupant in the event of a frontal collision includes a controller, one or more crash sensors for sensing a frontal collision, and an active sensor for detecting objects in the path of the vehicle. The controller is configured to implement crash discrimination metrics that detect the occurrence of a frontal collision in response to signals received from the crash sensors. The crash discrimination metrics implement thresholds for determining whether the signals received from the crash sensors indicate the occurrence of a frontal collision. The controller is configured to implement an algorithm that uses information obtained from the active sensor to detect an object in the path of the vehicle and to select the thresholds implemented in the crash discrimination metrics in response to detecting the object.

First claim

We claim:

1 . A vehicle safety system for helping to protect a vehicle occupant in the event of a frontal collision, comprising:
a controller; one or more crash sensors for sensing a frontal collision; and an active sensor for detecting objects in the path of the vehicle; wherein the controller is configured to implement crash discrimination metrics that detect the occurrence of a frontal collision in response to signals received from the crash sensors, the crash discrimination metrics implementing thresholds for determining whether the signals received from the crash sensors indicate the occurrence of a frontal collision; wherein the controller is configured to implement an algorithm that uses information obtained from the active sensor to detect an object in the path of the vehicle and to select the thresholds implemented in the crash discrimination metrics in response to detecting the object.

2 . The vehicle safety system recited in claim 1 , wherein the algorithm implemented by the controller is further configured to select misuse boxes associated with the selected thresholds implemented by the crash discrimination metrics based on the information obtained from the active sensor.

3 . The vehicle safety system recited in claim 1 , wherein the algorithm implemented by the controller is further configured to:
determine an object type for the object; determine an estimated severity of an impact with the object; and select the thresholds implemented in the crash discrimination metrics further in response to at least one of the object type and the estimated severity.

4 . The vehicle safety system recited in claim 3 , wherein the object type comprises one of a car, truck, barrier, and pole.

5 . The vehicle safety system recited in claim 3 , wherein the algorithm implemented by the controller is configured to determine the estimated severity by implementing a metric that determines the estimated severity based on a relative velocity between the object and the vehicle.

6 . The vehicle safety system recited in claim 5 , further comprising at least one actuatable safety device comprising an airbag with a two-stage inflator and a seatbelt pretensioner, and wherein the algorithm implemented by the controller is configured to determine one of the following actions to take in response to the estimated severity:
actuate neither the seatbelt pretensioner nor the inflator; actuate the seatbelt pretensioner only; actuate the seatbelt pretensioner and the inflator first stage; actuate the seatbelt pretensioner, inflator first stage, and the inflator second stage.

7 . The vehicle safety system recited in claim 3 , wherein the algorithm implemented by the controller is further configured to select misuse boxes associated with the selected thresholds implemented by the crash discrimination metrics in response to at least one of the object type and estimated severity.

8 . The vehicle safety system recited in claim 3 , wherein the algorithm implemented by the controller is further configured to determine the estimated severity by evaluating an estimated severity discrimination metric that compares a relative velocity of the object relative to the vehicle and displacement.

9 . The vehicle safety system recited in claim 1 :
wherein the crash sensors comprise front crush zone sensors (CZS); wherein the crash discrimination metrics comprise a CZS switching discrimination metric for evaluating CZS acceleration values to determine whether a CZS switching threshold is exceeded; wherein the crash discrimination metrics comprise individual metrics associated each object type determined by the algorithm, each individual metric comprising a normal threshold and misuse box, and a CZS switched threshold and misuse box, the CZS switched threshold and misuse box being implemented by the crash discrimination metrics when the CZS switching discrimination metric determines that the CZS switching threshold is exceeded, the normal threshold and misuse box being implemented in the absence of the CZS switching threshold being exceeded; and wherein the crash discrimination metrics further comprise a normal preset threshold and misuse box, and a CZS switched preset, wherein the CZS switched preset threshold and misuse box are implemented by the crash discrimination metrics when the CZS switching discrimination metric determines that the CZS switching threshold is exceeded and the algorithm detects the object in the path of the vehicle, the normal preset threshold and misuse box being implemented in the absence of the CZS switching threshold being exceeded and the algorithm detects the object in the path of the vehicle.

10 . The vehicle safety system recited in claim 1 , wherein the algorithm implemented by the controller is configured to detect objects in the path of the vehicle by:
identifying the object; determining whether a lateral position of the object with respect to the vehicle is within a predetermined threshold; evaluating a time-to-collision (TTC) discrimination metric to determine whether a relative velocity between the object and the vehicle exceeds a predetermined threshold dictating that a crash is imminent; and evaluating a longitudinal distance collision discrimination metric to determine whether the longitudinal position of the object relative to the vehicle exceeds a predetermined threshold dictating that a crash is imminent.

11 . The vehicle safety system recited in claim 1 , wherein the algorithm implemented by the controller is configured to detect objects in the path of the vehicle by:
identifying a state of the object; determining whether a calculated crash probability is greater than a predetermined crash probability; and evaluating a time-to-collision (TTC) discrimination metric to determine whether the relative velocity between the object and the vehicle exceeds a predetermined threshold dictating that a crash is imminent.

12 . The vehicle safety system recited in claim 1 , wherein the crash sensors are components of a passive safety system further comprising at least one actuatable safety device, the passive safety system being configured to respond to the occurrence of a vehicle collision by actuating the safety device, and wherein the active sensor is a component of an active safety system configured to anticipate the occurrence of the vehicle collision.

13 . The vehicle safety system recited in claim 1 , wherein the crash sensors comprise at least one of crush zone sensors and airbag control unit (ACU) sensors in the form of accelerometers for measuring vehicle acceleration along a longitudinal vehicle axis.

14 . The vehicle safety system recited in claim 13 , wherein the crash discrimination metrics have a value determined by comparing acceleration vs. displacement or velocity vs. displacement, as measured by the crash sensors, and the crash discrimination metrics determine the occurrence of a frontal collision in response to the value exceeding the threshold.

15 . The vehicle safety system recited in claim 1 , wherein the active sensor comprises a camera, and wherein the information obtained from the active sensor comprises the object type, an object lateral position, a time to collision (TTC) with the object, a relative velocity of the object and the vehicle, and a longitudinal position of the object relative to the vehicle.

16 . The vehicle safety system recited in claim 5 , wherein the algorithm for detecting the object in the path of the vehicle is configured to detect the object by:
determining whether the object type is a recognized object type;

Assignees

• Zahnradfabrik Friedrichshafen

Inventors

• Balasubramanian Kiran
• Pfriender Harald
• Bartlett Charles A
• Fleckner Andreas

Classifications

• B60W30/08

  Active safety systems} predicting or avoiding probable or impending collision {or attempting to minimise its consequences · CPC title

• B60R21/26 Primary

  characterised by the inflation fluid source or means to control inflation fluid flow {(arrangement or mounting thereof to the vehicle B60R21/20; blasting cartridges for producing gas under pressure in general F42B3/04; initiators or igniters therefor F42B3/10)} · CPC title

• B60R21/013 Primary

  including means for detecting collisions, impending collisions or roll-over · CPC title

• B60R2021/01034

  Controlling a plurality of restraint devices · CPC title

• B60R2021/01272

  Belt tensioners · CPC title