Vehicle suspension system and method of using the same

Patent metadata

Field	Value
Publication number	US-9533539-B2
Application number	US-201113277795-A
Country	US
Kind code	B2
Filing date	Oct 20, 2011
Priority date	Oct 20, 2011
Publication date	Jan 3, 2017
Grant date	Jan 3, 2017

Abstract

A system and method that may inspect an upcoming road segment and use that information to control certain aspects of a vehicle suspension system. In an exemplary embodiment, several cameras are used to evaluate an upcoming road segment and to provide road information to a control module so that damping and/or other aspects of an active or semi-active suspension system can be controlled in a feed-forward manner. Because the vehicle suspension system assesses a segment of the road that is ahead of the vehicle, as opposed to one currently being encountered by the vehicle, the system may improve ride performance by anticipating and preparing for road conditions before they are actually encountered.

First claim

The invention claimed is:

1. A method for use with a vehicle suspension system, comprising the steps of:
a) receiving road information from a plurality of cameras that are part of a stereo vision system,
the plurality of cameras are arranged to provide the stereo vision system with camera output of a common image of an upcoming road segment that is taken from different perspectives, and the road information pertains to the upcoming road segment and is extracted from a blended digital image that is stitched, blended or otherwise combined from the camera output of the plurality of cameras of the stereo vision system;
b) evaluating the road information from the blended digital image to determine whether the vehicle is expected to encounter a plurality of items in the upcoming road segment;
c) when the vehicle is expected to encounter a plurality of items in the upcoming road segment,
then measuring a distance between different points on each item in the blended digital image and including the measured distance with the road information,
calculating an expected effect that is at least partially based on the road information from the blended image and is a quantitative estimate of the impact that the each item will have on the vehicle suspension system, and determining a plurality of preemptive adjustments for the vehicle suspension system that is at least partially based on the calculated expected effect and is a customized adjustment for the each specific item in the upcoming road segment so as to counteract the expected effect:
combining the plurality of preemptive adjustments in order to generate a command signal for the vehicle suspension system, wherein a first preemptive adjustment is given a higher weighting than a second preemptive adjustment when the first and the second preemptive adjustments are combined in order to generate the command signal for the vehicle suspension system; and
d) making a preemptive adjustment to the vehicle suspension system in accordance with the command signal before the vehicle encounters one of the items in the upcoming road segment.

2. The method of claim 1 , wherein step (a) further comprises receiving road information from the blended digital image in the form of a collection of coordinates for different points on the upcoming road segment.

3. The method of claim 1 , wherein step (a) further comprises receiving road information that pertains to an object located in the upcoming road segment, and the road information includes at least one of the following pieces of information: a position of the object, a size of the object, a distance to the object, or a projected wheel path as it relates to the object.

4. The method of claim 1 , wherein step (a) further comprises receiving road information that pertains to a road surface change in the upcoming road segment, and the road information includes at least one of the following pieces of information: a description of the road surface change, a position of the road surface change, a distance to the road surface change, or a projected wheel path as it relates to the road surface change.

5. The method of claim 4 , wherein step (a) further comprises receiving road information that pertains to a road surface change and includes a qualitative description of the road surface change that uses different categories of road surfaces.

6. The method of claim 1 , wherein step (a) further comprises receiving road information that pertains to a road feature change in the upcoming road segment, and the road information includes at least one of the following pieces of information: a description of the road feature change, a position of the road feature change, a distance to the road feature change, or a projected wheel path as it relates to the road feature change.

7. The method of claim 6 , wherein step (a) further comprises receiving road information that pertains to a road feature change and includes a qualitative description of the road feature change that uses different categories of road features.

8. The method of claim 1 , wherein step (a) further comprises receiving road information from a vision system and a navigation system; and step (c) further comprises using the road information from the vision system and the navigation system to determine at least one of the preemptive adjustments for the vehicle suspension system.

9. The method of claim 1 , wherein step (c) further comprises using one or more pieces of information from the road information to assign a predetermined value to at least one of the preemptive adjustments for the vehicle suspension system.

10. The method of claim 9 , wherein step (c) further comprises using at least one of the following pieces of information as input to a look-up table in order to assign a predetermined value to at least one of the preemptive adjustments for the vehicle suspension system: a position of an item, a size of an item, a distance to an item, or a projected wheel path.

11. The method of claim 10 , wherein step (c) further comprises using a size of an object located in the upcoming road segment and a vehicle speed as input to a look-up table in order to assign a predetermined value to at least one of the preemptive adjustments for the vehicle suspension system.

12. The method of claim 1 , wherein step (c) further comprises using one or more pieces of information from the road information to calculate an expected effect that each item will have on the vehicle suspension system, and then determining the plurality of preemptive adjustments for the vehicle suspension system to counteract the expected effect.

13. The method of claim 12 , wherein step (c) further comprises using at least one of the following pieces of information as input to an algorithm in order to determine at least one of the preemptive adjustments for the vehicle suspension system: a position of an item, a size of an item, a distance to an item, or a projected wheel path.

14. The method of claim 13 , wherein step (c) further comprises using a size of an object located in the upcoming road segment and a vehicle speed as input to an algorithm in order to calculate the expected effect, and determining at least one preemptive adjustment for the vehicle suspension system that will counteract the expected effect.

15. A method for use with a vehicle suspension system, wherein the vehicle suspension system includes a magneto-rheological (MR) damper, the method comprising the steps of:
a) receiving road information from a plurality of cameras that are part of a stereo vision system, the plurality of cameras are arranged to provide the stereo vision system with camera output of a common image of an upcoming road segment that is taken from different perspectives, and the road information pertains to the upcoming road segment and is extracted from a blended digital image that is stitched, blended or otherwise combined from the camera output of the plurality of cameras of the stereo vision system;
b) evaluating the road information from the blended digital image to determine whether the vehicle is expected to encounter an item in the upcoming road segment;
c) when the vehicle is expected to encounter an item in the upcoming road segment, then measuring a distance between different points on the item in the blended digital image and including the measured distance with the road information, calculating an expected effect that is at least partially based on the road information from the blended image and is a quantitative estimate of the impact that the item will have on the vehicle suspension system, and determining a preemptive adjustment for the vehicle suspe

Assignees

• Eng Donald
• Izak Robert G
• Gm Global Tech Operations Llc

Inventors

• Eng Donald
• Izak Robert G

Classifications

• B60G17/0165 Primary

  to an external condition, e.g. rough road surface, side wind · CPC title

• B60G17/019

  characterised by the type of sensor or the arrangement thereof {(B60G17/01941 takes precedence)} · CPC title

• B60G2401/142

  Visual Display Camera, e.g. LCD · CPC title