Automatic control of a heating element in a steering wheel of a vehicle pursuant to predictive modeling that recalibrates based on occupant manual control of the heating element

Patent metadata

Field	Value
Publication number	US-10640137-B2
Application number	US-201815900203-A
Country	US
Kind code	B2
Filing date	Feb 20, 2018
Priority date	Feb 20, 2018
Publication date	May 5, 2020
Grant date	May 5, 2020

Abstract

A method of controlling a heating element within a steering wheel of a vehicle comprising: presenting a vehicle comprising a steering wheel including a heating element, a controller in communication with the heating element, the controller including a Pre-established Predictive Activation Model setting forth rules governing activation of the heating element as a function of data relating to Certain Identifiable Conditions, and a user interface configured to allow the heating element to be manually activated or deactivated; collecting data relating to the Certain Identifiable Conditions; determining, by comparing the collected data to the rules of the Pre-established Predictive Activation Model, whether the collected data satisfies the rules of the Pre-established Predictive Activation Model so as to initially automatically activate the heating element; and automatically activating the heating element.

First claim

What is claimed is:

1. A method of controlling a heating element within a steering wheel of a vehicle comprising:
presenting a vehicle comprising:
a steering wheel including a heating element;
a controller in communication with the heating element, the controller including a Pre-established Predictive Activation Model setting forth rules governing activation of the heating element as a function of data relating to Certain Identifiable Conditions; and
a user interface configured to allow the heating element to be manually activated or deactivated;

collecting data relating to the Certain Identifiable Conditions;
determining, by comparing the collected data to the rules of the Pre-established Predictive Activation Model, whether the collected data satisfies the rules of the Pre-established Predictive Activation Model so as to initially automatically activate the heating element; and
automatically activating the heating element.

2. The method of claim 1 ,
wherein, the Pre-established Predictive Activation Model was formed pursuant to a classification and regression tree analysis of input data related to the Certain Identifiable Conditions collected from other operators of other vehicles.

3. The method of claim 1 ,
wherein, the Pre-established Predictive Activation Model establishes rules that are a function of at least the following Certain Identifiable Conditions: a temperature of the interior of the vehicle and a temperature outside of the vehicle.

4. The method of claim 3 ,
wherein, the Pre-established Predictive Activation Model establishes rules that are a function of at least the following additional Certain Identifiable Conditions: a level at which a climate control system in the vehicle is blowing air and a front user side temperature set point.

5. The method of claim 4 ,
wherein, the Pre-established Predictive Activation Model establishes rules that are a function of at least the following additional Certain Identifiable Conditions: a time of the day; and a temperature differential between the temperature of the interior of the vehicle and the temperature outside of the vehicle.

6. The method of claim 3 ,
wherein, when the temperature of the interior of the vehicle is below a certain temperature, the controller automatically activates the heating element pursuant to the rules of the Pre-established Predictive Activation Model as a function of data relating to at least one other of the Certain Identifiable Conditions excluding the temperature of the interior of the vehicle.

7. The method of claim 6 ,
wherein, when a passenger side temperature set point is greater than a certain value, the controller automatically activates the heating element, but when the passenger side temperature set point is less than a certain value, the controller does not automatically activate the heating element.

8. The method of claim 6 ,
wherein, according to the rules of the Pre-established Predictive Activation Model, the controller activates the heating element if a heated seat function has not been activated, but the controller does not activate the heating element if the heated seat function has been activated.

9. The method of claim 6 ,
wherein, according to the rules of the Pre-established Predictive Activation Model, the controller activates the heating element if the level at which a climate control system in the vehicle is blowing air is greater than a certain level; and
wherein, according to the rules of the Pre-established Predictive Activation Model, the controller does not activate the heating element if the level at which the climate control system in the vehicle is blowing air is less than a certain level.

10. The method of claim 1 further comprising:
automatically deactivating the heating element pursuant to the Pre-established Predictive Activation Model, after initially automatically activating the heating element pursuant to the Pre-established Predictive Activation Model, if the collected data relating to the Certain Identifiable Conditions collected after initially automatically activating the heating element satisfy the rules of the Pre-established Predictive Activation Model for deactivation of the heating element.

11. The method of claim 10 further comprising:
automatically reactivating the heating element pursuant to the Pre-established Predictive Activation Model, after automatically deactivating the heating element pursuant to the Pre-established Predictive Activation Model, if the collected data relating to the Certain Identifiable Conditions collected after deactivating the heating element again satisfy the rules for activation pursuant to the Pre-established Predictive Activation Model.

12. The method of claim 11 further comprising:
a first occupant of the vehicle manually deactivating the heating element via the user interface.

13. The method of claim 12 further comprising:
upon the first occupant manually deactivating the heating element via the user interface, recalibrating the Pre-established Predictive Activation Model into a new predictive activation model accounting for the collected data relating to the Certain Identifiable Conditions existing when the first occupant manually deactivated the heating element and establishing new rules for activation and/or deactivation of the heating element.

14. The method of claim 13 further comprising:
the first occupant manually activating the heating element via the user interface.

15. The method of claim 14 further comprising:
upon the first occupant manually activating the heating element via the user interface, recalibrating the new predictive activation model into a newer predictive activation model accounting for the collected data relative to the Certain Identifiable Conditions existing when the first occupant manually activated the heating element and establishing new rules for activation and/or deactivation of the heating element.

16. The method of claim 15 ,
the heating element being adjustable to several different levels of heating;
the controller further including a Pre-established Predictive Level Model establishing rules governing which level of the several different levels of heating the controller will initially automatically set for the heating element, the rules of the Pre-established Predictive Level Model being a function of one or more of the Certain Identifiable Conditions; and
the user interface further configured to allow the first occupant to select manually the level of the several different levels of heating;
the method further comprising:
determining, by comparing the collected data to the rules of a Pre-established Predictive Level Model, which level of the several different levels of heating the controller will initially automatically set for the heating element; and
initially automatically setting the heating element to the determined level.

17. The method of claim 16 ,
wherein, the Pre-established Predictive Level Model is formed pursuant to a multilayer perceptron classifier analysis of input data relating to the Certain Identifiable Conditions collected from other vehicles.

18. The method of claim 17 further comprising:
the first occupant manually changing the level of heating for the heating element via the user interface.

19. The method of claim 18 further comprising:
upon the first occupant manually changing the level of heating for the heating element via the user interface, recalibrating the Pre-established Predictive Level Model into a new predictive level model accounting for the

Assignees

• Ford Global Tech Llc

Inventors

• Ostrowski David
• Manwell Elizabeth Anne
• John Mohan
• Herbert William G

Classifications

• B62D1/065 Primary

  Steering wheels with heating and ventilating means (heating and ventilation of steering wheel when connected to vehicle HVAC B60H1/00292) · CPC title

• H05B1/0236

  for vehicles · CPC title

• G05B13/048

  using a predictor · CPC title

• B62D1/06 Primary

  Rims, e.g. with heating means; Rim covers (B62D1/11 takes precedence) · CPC title