Vehicle wheel impact detection and response

Patent metadata

Field	Value
Publication number	US-11676429-B2
Application number	US-201916559909-A
Country	US
Kind code	B2
Filing date	Sep 4, 2019
Priority date	Sep 4, 2019
Publication date	Jun 13, 2023
Grant date	Jun 13, 2023

Abstract

A computer can be programmed to determine that an impact to a wheel of a vehicle exceeds an impact severity threshold and transmit a message describing the impact via a vehicle communications network. An electronic controller can be programmed to make an adjustment to monitoring the component based on receiving the message in the electronic controller.

First claim

What is claimed is:

1. A system, comprising:
a computer in a vehicle, programmed to:
determine that a total wheel impact count (TC) severity level threshold is exceeded by determining that a first plurality of wheel impacts detected at a first respective plurality of timesteps exceed a first impact severity threshold, and that a second plurality of wheel impacts detected at a second respective plurality of timestamps exceed a second impact severity threshold, then applying a first weight to the first wheel impacts and a second weight to the second plurality of wheel impacts, and then generating a combination of the weighted first and second wheel impacts to yield a total wheel impact count that is compared to the total wheel impact count (TC) severity level threshold; and
transmit a message, based on the total wheel impact count severity threshold being exceeded, via a vehicle communications network; and

an electronic controller for a component in the vehicle programmed to:
based on receiving the message in the electronic controller, make an adjustment to monitoring the component;

wherein the adjustment to monitoring the component by the controller includes at least one of:
reducing a fault maturation time;
resetting the fault maturation time;
adjusting a monitoring parameter; or
adjusting one or more of a rate of data monitoring and sampling; and

wherein the adjustment to monitoring the component by the controller further includes modifying operation of the component.

2. The system of claim 1 , wherein the adjustment to monitoring the component is based on at least one of identifying the wheel impacted, an impact severity level, or a predicted cause.

3. The system of claim 1 , wherein the adjustment to monitoring the component is based on output from a deep neural network (DNN), the output generated from input data from a plurality of vehicles in which a vehicle health condition resulting from a wheel impact has been detected.

4. The system of claim 1 wherein the controller is further programmed to:
monitor the component based on the adjustment to monitoring the component; and
perform an action upon determining based on the monitoring that a vehicle health condition is indicated.

5. A system, comprising:
a computer in a vehicle, programmed to:
determine that a total wheel impact count (TC) severity level threshold is exceeded by determining that a first plurality of wheel impacts detected at a first respective plurality of timesteps exceed a first impact severity threshold, and that a second plurality of wheel impacts detected at a second respective plurality of timestamps exceed a second impact severity threshold, then applying a first weight to the first wheel impacts and a second weight to the second plurality of wheel impacts, and then generating a combination of the weighted first and second wheel impacts to yield a total wheel impact count that is compared to the total wheel impact count (TC) severity level threshold; and
transmit a message, based on the total wheel impact count severity threshold being exceeded, via a vehicle communications network; and

an electronic controller for a component in the vehicle programmed to:
based on receiving the message in the electronic controller, make an adjustment to monitoring the component including modifying operation of the component.

6. The system of claim 5 , wherein the adjustment to monitoring the component is based on at least one of identifying the wheel impacted, an impact severity level, or a predicted cause.

7. The system of claim 5 , wherein the adjustment to monitoring the component is based on output from a deep neural network (DNN), the output generated from input data from a plurality of vehicles in which a vehicle health condition resulting from a wheel impact has been detected.

8. The system of claim 5 , wherein the controller is further programmed to:
monitor the component based on the adjustment to monitoring the component; and
perform an action upon determining based on the monitoring that a vehicle health condition is indicated.

Assignees

• Ford Global Tech Llc

Inventors

• Panigrahi Smruti
• Eyerman Devon
• Boran Colm
• Wang Dexin

Classifications

• H04L12/40 Primary

  Bus networks · CPC title

• H04L2012/40215

  Controller Area Network CAN · CPC title

• H04L2012/40273

  the transportation system being a vehicle · CPC title

• G06N3/084

  Backpropagation, e.g. using gradient descent · CPC title

• G06N3/045

  Combinations of networks · CPC title