Automated control of vehicle ventilation system

US9931909B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-9931909-B2
Application numberUS-201615208954-A
CountryUS
Kind codeB2
Filing dateJul 13, 2016
Priority dateJul 13, 2016
Publication dateApr 3, 2018
Grant dateApr 3, 2018

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

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  7. Citations and related patents

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Abstract

Official abstract text for this publication.

A computing system for a vehicle is provided. The computing system includes one or more processors for controlling operation of the computing device, and a memory for storing data and program instructions usable by the one or more processors, wherein the one or more processors are configured to execute instructions stored in the memory to estimate at least one characteristic of emissions from at least one forward vehicle expected to enter a ventilation system of an ego-vehicle within a predetermined travel distance ahead of the ego-vehicle and, responsive to one or more estimated characteristics, control the ego-vehicle ventilation system.

First claim

Opening claim text (preview).

What is claimed is: 1. A computing system for an ego-vehicle, the computing system comprising one or more processors for controlling operation of the computing system, and a memory for storing data and program instructions usable by the one or more processors, wherein the one or more processors are configured to execute instructions stored in the memory to: estimate an amount of exhaust emissions expelled from at least one forward vehicle and residing in a predetermined volume spaced apart from the ego-vehicle at a location a predetermined distance ahead of a ventilation system intake of the ego-vehicle; compare the estimated amount of exhaust emissions residing in the predetermined volume to a predetermined threshold; and if the estimated amount of exhaust emissions residing in the predetermined volume exceeds the predetermined threshold, control the ventilation system intake to at least partially close the ventilation system intake. 2. The computing system of claim 1 wherein the one or more processors are configured to execute instructions stored in the memory to estimate a rate of emissions of the at least one forward vehicle. 3. The computing system of claim 2 wherein the one or more processors are configured to execute instructions stored in the memory to detect a flow of emissions from the at least one forward vehicle toward a side of the at least one forward vehicle, in relation to a reference location on the ego-vehicle. 4. The computing system of claim 2 wherein the one or more processors are configured to execute instructions stored in the memory to determine a geometry of structures surrounding a road on which the at least one forward vehicle and ego-vehicle are traveling. 5. The computing system of claim 2 wherein the one or more processors are configured to execute instructions stored in the memory to determine a speed and direction of wind between the ego-vehicle and the at least one forward vehicle. 6. The computing system of claim 2 wherein the one or more processors are configured to execute instructions stored in the memory to run an emissions flow model configured to estimate an amount of gas/particulate in the predetermined volume of space in the path of the ego-vehicle. 7. The computing system of claim 1 wherein the predetermined distance ahead of the ventilation system intake of the ego-vehicle is an estimated distance that the ego-vehicle will travel in a time required to acquire information for estimating the amount of emissions residing in the predetermined volume, process the information to formulate an estimate of emissions residing in the predetermined volume, and control the ventilation system intake to at least partially close the ventilation system intake responsive to the estimate of emissions residing in the predetermined volume. 8. The computing system of claim 1 wherein the one or more processors are configured to execute instructions stored in the memory to estimate a type of exhaust emissions residing in the predetermined volume, the type of emissions including at least one of exhaust from gasoline engines and exhaust from diesel engines, and wherein the one or more processors are configured to execute instructions stored in the memory to control the ventilation system intake to at least partially close the ventilation system intake responsive to the estimate of the type of emissions. 9. The computing system of claim 1 wherein the predetermined volume is defined by a product of an ego-vehicle vent intake area and an estimated distance that the ego-vehicle will travel in an estimated time required to acquire information for estimating an amount of exhaust emissions in the predetermined volume, process the acquired information to formulate an estimate of the exhaust emissions residing in the predetermined volume, and control the ventilation system intake to at least partially close the ventilation system intake. 10. The computing system of claim 9 wherein the predetermined volume is defined by the relationship: V 1= D 1× A intake =V ego-vehicle ×T 1× A intake where: A intake =an intake area of the ego-vehicle vent system V ego-vehicle =the road speed of the ego-vehicle, and D 1 =a distance that the ego-vehicle will travel in a time T 1 required to acquire information for estimating an amount of emissions in the volume V 1 , process the information to formulate an estimate of the amount of emissions in the volume V 1 , and control the ventilation system intake to at least partially close the ventilation system intake. 11. A method of controlling a ventilation system of an ego-vehicle, comprising steps of: estimating an amount of exhaust emissions residing in a predetermined volume spaced apart from the ego-vehicle at a location a predetermined distance ahead of a vehicle ventilation system intake of the ego-vehicle, in a current path of the ego-vehicle; iteratively: a) adjusting a value of a variable representing a vent intake open area of a partially-closed ego-vehicle vent intake through which emissions can flow into the vehicle ventilation system; b) estimating, for the value of the variable representing the vent intake open area of the partially-closed ego-vehicle vent intake, an amount of exhaust emissions predicted to enter the vehicle ventilation system during ego-vehicle transit of the predetermined volume ahead of the ego-vehicle if the ego-vehicle continues on the current path; c) comparing, to a predetermined threshold, the estimated amount of exhaust emissions predicted to enter the vehicle ventilation system during ego-vehicle transit of the predetermined volume ahead of the ego-vehicle if the ego-vehicle continues on the current path; repeating steps (a)-(c) until a value of the variable representing the vent intake open area of the partially-closed ego-vehicle vent intake is reached whereby the estimated amount of exhaust emissions predicted to enter the vehicle ventilation system during ego-vehicle transit of the predetermined volume ahead of the ego-vehicle if the ego-vehicle continues on the current path falls below the predetermined threshold; and controlling the vent intake open area so as to provide the vent intake opening area of the partially-closed ego-vehicle vent intake represented by the value of the variable, whereby the estimated amount of exhaust emissions predicted to enter the vehicle ventilation system during ego-vehicle transit of the predetermined volume ahead of the ego-vehicle if the ego-vehicle continues on the current path falls below the predetermined threshold. 12. The method of claim 11 wherein the step of estimating an amount of emissions residing in the predetermined volume comprises the step of estimating a rate of emissions of at least one forward vehicle. 13. The method of claim 12 wherein the step of estimating a rate of emissions of at least one forward vehicle comprises at least one of the steps of: estimating a vehicle type of the at least one forward vehicle; estimating a road speed of the at least one forward vehicle; estimating an acceleration of the at least one forward vehicle; estimating a number of emissions sources of the at least one forward vehicle; and determining if the at least one forward vehicle is towing a trailer or other device. 14. The method of claim 13 wherein the step of estimating a vehicle type of the at least one forward vehicle comprises steps of: detecting a name or other symbol designating a make of the at least one forward vehicle and/or a model of the at least one forward vehicle; interpreting the detected name or symbol; and associating the interpreted name or symbol with a v

Assignees

Inventors

Classifications

  • Control systems or circuits characterised by particular algorithms or computational models, e.g. fuzzy logic or dynamic models · CPC title

  • Control systems or circuits characterised by including features for automatic and non-automatic control, e.g. for changing from automatic to manual control · CPC title

  • B60H1/008Primary

    the input being air quality · CPC title

  • the input being a vehicle position or surrounding, e.g. GPS-based position or tunnel · CPC title

  • for selectively commanding the induction of outside or inside air (B60H1/00842 takes precedence) · CPC title

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What does patent US9931909B2 cover?
A computing system for a vehicle is provided. The computing system includes one or more processors for controlling operation of the computing device, and a memory for storing data and program instructions usable by the one or more processors, wherein the one or more processors are configured to execute instructions stored in the memory to estimate at least one characteristic of emissions from a…
Who is the assignee on this patent?
Toyota Eng & Mfg North America
What technology area does this patent fall under?
Primary CPC classification B60H1/008. Mapped technology areas include Operations & Transport.
When was this patent published?
Publication date Tue Apr 03 2018 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 3 related publications on this page (citations in our corpus or others sharing the same primary CPC).