PROCESS AND SYSTEM FOR CONTROLLING AIR QUALITY WITHIN AN INTERIOR OF A MOTOR VEHICLE

• US 20110046846A1
• Filed: 08/18/2009
• Published: 02/24/2011
• Est. Priority Date: 08/18/2009
• Status: Active Grant

• Current Assignee: Toyota Motor Corporation
• Original Assignee: Toyota Motor Engineering & Manufacturing North America Incorporated (Toyota Motor Corporation)
• Inventors: Prokhorov, Danil V.
• Granted Patent: US 8,145,383 B2
• Time in Patent Office: Days
• US Class Current: 701/36
• CPC Class Codes: B60H 1/008 the input being air quality
• CPC Class Codes: B60H 1/00849 for selectively commanding the induction of outside or inside air B60H1/00842 takes precedence

Abstract

The present invention discloses a process for controlling air quality within an interior of a motor vehicle. The process can include providing a motor vehicle with a heating-venting-air conditioning (HVAC) system, the HVAC system having an internal air supply option and an external air supply option. The process can also include providing a reinforcement learning system that can increase the air quality within the motor vehicle as a function of user preferences with respect to choosing the external air supply or the internal air supply.

Claims

1. A process for controlling air quality within an interior of a motor vehicle, the process comprising:

providing a motor vehicle with an HVAC system, the HVAC system having an internal air supply (IAS) option and an external air supply (EAS) option, the HVAC system having an automated controller operative to activate the IAS for an IAS time and to activate the EAS for an EAS time, the HVAC system also having a manual controller operative for an individual to manually activate the IAS and the EAS; and

providing a reinforcement learning system (RLS) having a memory circuitry and a processing circuitry;

the memory circuitry having a lookup table with a plurality of cells, each of the plurality of cells associated with a motor vehicle condition and having a datum for a number of manual IAS activations and a datum for a number of manual EAS activations;

the processing circuitry querying one of the plurality of cells as a function of a current motor vehicle condition, reading the number of manual IAS activations and the number of manual EAS activations for the one cell, and adjusting the IAS time and the EAS time as a function of the queried data.

2. The process of claim 1, wherein adjusting the IAS time and the EAS time includes:

increasing the IAS time and decreasing the EAS time if the number of manual IAS activations is greater than the number of manual EAS activations;

decreasing the IAS time and increasing the EAS time if the number of manual IAS activations is less than the number of manual EAS activations; and

leaving the IAS time and the EAS time unchanged if the number of manual IAS activations is equal to the number of manual EAS activations or there is no event for manually activating either the IAS or EAS.

3. The process of claim 1, wherein the different motor vehicle condition is selected from the group consisting of temperature external to the motor vehicle, temperature of an interior of the motor vehicle, barometric pressure outside the motor vehicle, humidity inside the motor vehicle, humidity outside the vehicle, traveling speed of the motor vehicle, GPS location of the motor vehicle, proximity of the motor vehicle to other objects and combinations thereof.

4. The process of claim 3, wherein each of the plurality of cells is associated with a combination of different motor vehicle conditions.

5. The process of claim 3, wherein at least one of the motor vehicle conditions is coded in a linguistic variable term.

6. The process of claim 1, wherein the IAS time and the EAS time are increased or decreased according to the expression:

t_jⁱ⁺¹=f(t_jⁱ, Δ

t_j) j=1, 2

where t₁ is the IAS time, t₁ⁱ⁺¹ is an adjusted IAS time, t₁ⁱ is a previous adjusted IAS time, Δ

t₁ is a change in the IAS time, t₂ is the EAS time, t₂ⁱ⁺¹ is an adjusted EAS time, t₂ⁱ is a previous adjusted EAS time, and Δ

t₂ is a change in the EAS time.

7. The process of claim 6, wherein f(t_jⁱ, Δ

t_j)=t_jⁱ+Δ

t_j for increasing the IAS time when j=1 and increasing the EAS time when j=2, and f(t_jⁱ, Δ

t_j)=t_jⁱ−

Δ

t_j for decreasing the IAS time when j=1 and decreasing the EAS time when j=2.

8. The process of claim 6, wherein f(t_jⁱ, Δ

t_j)=t_jⁱ·

Δ

t_j for increasing the IAS time when j=1 and increasing the EAS time when j=2, and f(t_jⁱ, Δ

t_j)=t_jⁱ/Δ

_j for decreasing the IAS time when j=1 and decreasing the EAS time when j=2.

9. An air quality control system for controlling the air quality within an interior of a motor vehicle, the air quality control system comprising:

a motor vehicle with a heating-venting-air conditioning (HVAC) system, said HVAC system having;

an internal air supply (IAS) option and an external air supply (EAS) option;

a manual controller operative for an individual to manually activate said IAS and said EAS; and

a reinforcement learning system (RLS) having a memory circuitry and a processing circuitry, said RLS in electronic communication with said IAS and said EAS;

said memory circuitry having a lookup table with a plurality of cells, each of said plurality of cells associated with a motor vehicle condition and having a datum for a number of manual IAS activations and a datum for a number of manual EAS option;

each of said plurality of cells also having a stored IAS time value associated with how long said IAS should be activated for said motor vehicle condition and a stored EAS time value associated with how long said EAS should be activated for said motor vehicle condition;

said processing circuitry operative to query one of said plurality of cells as a function of a current motor vehicle condition, read said number of manual IAS activations and said number of manual EAS activations and adjust said IAS time value and said EAS time value as a function of said number of manual IAS activations and said number of manual EAS activations.

10. The air quality system of claim 9, wherein said processing circuitry:

increases said stored IAS time value and decreases said stored EAS time value if said number of manual IAS activations is greater than said number of manual EAS activations;

decreases said stored IAS time value and increases said stored EAS time value if said number of manual IAS activations is less than said number of manual EAS activations; and

leaves said stored IAS time value and said stored EAS time value unchanged if said number of manual IAS activations is equal to said number of manual EAS activations.

11. An air quality control system for controlling air quality within an interior of a motor vehicle, said air quality control system comprising:

a motor vehicle with a heating-venting-air conditioning (HVAC) system, said HVAC system having;

an internal air supply (IAS) option and an external air supply (EAS) option;

an automated controller operative to activate said IAS option and said EAS option;

a manual controller operative for an individual to override said automated controller and manually activate said IAS option and said EAS option;

a reinforcement learning system (RLS) in electronic communication with said automated controller, said RLS operative to maximize a length of time said IAS option is activated as a function of input from the individual and a motor vehicle condition when the individual is operating said motor vehicle, for the purpose of reducing the number of times the individual has to manually activate/switch between said IAS option or said EAS option.

12. The air quality control system of claim 11, wherein said input from the individual is manual activation of said IAS option and said EAS option as a function of said motor vehicle condition.

13. The air quality control system of claim 11, wherein said RLS has a memory circuitry and a processing circuitry.

14. The air quality control system of claim 13, wherein said memory circuitry is operative to store a number of times the individual has manually activated said IAS option and said EAS option for said motor vehicle condition of said motor vehicle.

15. The air quality control system of claim 14, wherein said memory circuitry is operative to store an IAS time value and an EAS time value for said motor vehicle condition of said motor vehicle, said IAS time value associated with a length of time said automated controller activates said IAS option before activating said EAS option and said EAS time value associated with a length of time said automated controller activates said EAS option before activating said IAS option.

16. The air quality control system of claim 15, wherein said processing circuitry is operative to change said IAS time value and said EAS time value for said motor vehicle condition as a function of said number of times the individual has manually activated said IAS option and said EAS option for said motor vehicle condition.

17. The air quality control system of claim 16, wherein said processing circuitry increases said IAS time value and decreases said EAS time value for said motor vehicle condition if said number of times the individual has manually activated said IAS option is greater than said number of times the individual has manually activated said EAS option for said motor vehicle condition.

18. The air quality control system of claim 16, wherein said processing circuitry decreases said IAS time value and increases said EAS time value for said motor vehicle condition if said number of times the individual has manually activated said IAS option is less than said number of times the individual has manually activated said EAS option for said motor vehicle condition.

19. The process of claim 16, wherein said processing circuitry changes said IAS time value and said EAS time value according to the expression:

t_jⁱ⁺¹=f(t_jⁱ, Δ

t_j) j=1, 2

where t₁ is the IAS time value, t₁ⁱ⁺¹ is an adjusted IAS time value, t₁ⁱ is a previous adjusted IAS time value, Δ

t₁ is a change in the IAS time value, t₂ is the EAS time value, t₂ⁱ⁺¹ is an adjusted EAS time value, t₂ⁱ is a previous adjusted EAS time value, and Δ

t₂ is a change in the EAS time value.

20. The process of claim 19, wherein f(t_jⁱ, Δ

t_j)=t_jⁱ+Δ

t_j for increasing the IAS time value when j=1 and increasing the EAS time value when j=2, and f(t_j)=t_jⁱ−

Δ

t_j for decreasing the IAS time value when j=1 and decreasing the EAS time value when j=2.

21. The process of claim 19, wherein f(t_jⁱ, Δ

t_j)=t_jⁱ·

Δ

t_j for increasing the IAS time value when j=1 and increasing the EAS time value when j=2, and f(t_j)=t_jⁱ/Δ

t_j for decreasing the IAS time value when j=1 and decreasing the EAS time value when j=2.