Automotive virtual humidity sensor

• US 9,328,698 B2
• Filed: 05/14/2013
• Issued: 05/03/2016
• Est. Priority Date: 05/14/2013
• Status: Active Grant

• Current Assignee: Ford Global Technologies, LLC (Ford Motor Company)
• Original Assignee: Ford Global Technologies, LLC (Ford Motor Company)
• Inventors: MacNeille, Perry Robinson, Weber, David Charles
• Primary Examiner(s): Cronin, Stephen K
• Assistant Examiner(s): BRAUCH, CHARLES JOSEPH
• Application Number:
  US13/894,270
• Publication Number:
  US 20140338644A1
• Time in Patent Office: 1,085 Days
• Field of Search: 123/568.22
• US Class Current: 1/1
• CPC Class Codes: F02B 1/12 with compression ignition with fuel-air charge ignited by compression ignition of an additional fuel F02B7/00
• CPC Class Codes: F02D 13/0265 Negative valve overlap for temporarily storing residual gas in the cylinder
• CPC Class Codes: F02D 2021/083 controlling exhaust gas recirculation electronically
• CPC Class Codes: F02D 21/08 the other gas being the exhaust gas of engine
• CPC Class Codes: F02D 2200/0406 Intake manifold pressure
• CPC Class Codes: F02D 2200/0414 Air temperature
• CPC Class Codes: F02D 2200/0418 Air humidity
• CPC Class Codes: F02D 2200/701 Information about vehicle position, e.g. from navigation system or GPS signal
• CPC Class Codes: F02D 2200/703 Atmospheric pressure
• CPC Class Codes: F02D 29/02 peculiar to engines driving vehicles; peculiar to engines driving variable pitch propellers
• CPC Class Codes: F02D 37/02 one of the functions being ignition
• CPC Class Codes: F02D 41/005 according to engine operating conditions
• CPC Class Codes: F02D 41/0072 Estimating, calculating or determining the EGR rate, amount or flow sensors in EGR systems F02M26/45
• CPC Class Codes: F02M 26/46 for determining the characteristics of gases, e.g. composition
• CPC Class Codes: F02M 26/47 the characteristics being temperatures, pressures or flow rates
• CPC Class Codes: F02M 26/57 using electronic means, e.g. electromagnetic valves
• CPC Class Codes: Y02T 10/12 Improving ICE efficiencies
• CPC Class Codes: Y02T 10/40 Engine management systems

Abstract

Systems and methods are provided for adjusting an engine powertrain component responsive to ambient humidity, the ambient humidity based on vehicle position in a region, clock time ambient temperature, and historical humidity data for that region for a current time of year. This may be accomplished without relying on a costly, and often, temperamental physical humidity sensor. Training modules and cloud updates may further increase the accuracy of the virtual humidity sensor of the present disclosure.

Claims

1. A method, comprising:

adjusting an engine powertrain component of a vehicle responsive to barometric pressure and an estimated ambient humidity, the estimated ambient humidity based on each of vehicle position in a region, a current time of day and/or year, ambient temperature, and data for the region for the current time of day and/or year stored in a memory of a controller;

determining a difference between a measured humidity and the estimated humidity, where the measured humidity is received at the controller when the controller is connected to a data source external to the vehicle;

updating estimation parameters used to estimate the estimated humidity based on the determined difference; and

uploading the updated estimation parameters and acquired humidity data to a cloud server external to the vehicle, the uploading occurring during vehicle operation, and wherein the updated estimation parameters and acquired humidity data are generated during vehicle operation from estimation of the estimated humidity.

2. The method of claim 1, wherein adjusting the engine powertrain component comprises adjusting an exhaust gas recirculation rate based on the estimated humidity by adjusting a component of an exhaust gas recirculation system, where the exhaust gas recirculation system routes a desired portion of exhaust gas from an exhaust passage to an intake manifold via an exhaust gas recirculation passage including an exhaust gas recirculation valve.

3. The method of claim 2, wherein adjusting the engine power train component comprises adjusting engine spark timing.

4. The method of claim 1, further comprising receiving input from onboard components in communication with a vehicle bus, where the input includes at least one of the vehicle position, clock time, ambient temperature, and historical humidity data.

5. The method of claim 1, wherein the engine powertrain component is positioned in the vehicle traveling on a road, the method further comprising adjusting the estimated ambient humidity based on data exchanged with a computer network external to the vehicle.

6. The method of claim 5, wherein the data for the region for the current time of day and/or year includes historical humidity data and further comprising updating the historical humidity data stored in the memory of the controller based on the data exchanged with the computer network.

7. A virtual humidity sensor in a vehicle, comprising:

a vehicle bus adapted to connect to a measured humidity source;

vehicle operating and vehicle condition sensors coupled to the vehicle bus;

a training module coupled to the vehicle bus for comparison of a measured humidity received from the measured humidity source with an estimated humidity; and

a computer readable storage medium with a logic unit coupled to the vehicle bus and including instructions stored therein to;

determine the estimated humidity based on input values from one or more of the vehicle operating and vehicle condition sensors and stored historical humidity data;

update estimation parameters used for determining the estimated humidity based on a comparison of the measured humidity and the estimated humidity at the training module; and

upload the updated estimation parameters from the training module and acquired humidity data from operation of the virtual humidity sensor to a cloud server external to the vehicle.

8. The virtual humidity sensor of claim 7, wherein vehicle condition sensors comprise a global positioning system and wherein engine operating sensors comprise a barometric absolute pressure sensor.

9. The virtual humidity sensor of claim 7, wherein the instructions further include instructions for when a connection between the cloud server and the virtual humidity sensor is available, downloading updated data to the virtual humidity sensor, where the updated data includes one or more of updated climate data sets or updated humidity estimation algorithms.

10. The virtual humidity sensor of claim 7, wherein vehicle condition sensors comprise a windshield wiper status sensor and wherein the stored historical humidity data is stored within a memory of the logic unit.

11. The virtual humidity sensor of claim 7, wherein the measured humidity source is data from an internet connection with the logic unit.

12. The virtual humidity sensor of claim 7, wherein the measured humidity source is data from a satellite radio connected via a wired or wireless connection with the logic unit.

13. The virtual humidity sensor of claim 7, wherein the measured humidity source is data from an IBOC radio connected via a wired or wireless connection with the logic unit.

14. A method, comprising:

estimating a humidity based on vehicle data onboard a vehicle, the vehicle data comprising a global positioning system location, an ambient temperature, a barometric pressure, and stored humidity data, look-up tables and formulas; and

uploading acquired humidity estimates and training module parameter updates to a cloud server external to the vehicle.

15. The method of claim 14, further comprising connecting to one or more of an internet connection and IBOC radio when available, to receive an externally measured humidity.

16. The method of claim 15, wherein the training module parameter updates are updated estimation parameters for estimating the humidity and further comprising determining the updated estimation parameters based on a comparison between the estimated humidity and the received externally measured humidity.

17. The method of claim 14, wherein the vehicle data further comprises a date, time, and elevation.

18. The method of claim 15, wherein the estimating is performed via a virtual humidity sensor included in a controller of the vehicle and further comprising training the virtual humidity sensor prior to vehicle use, wherein training the virtual humidity sensor comprises repeatedly estimating the humidity until a difference between the estimated humidity and the received externally measured humidity ceases to decrease with each repetition.

19. The method of claim 14, wherein the cloud server is adapted to connect to multiple vehicles and receive online training parameters from each of them when they are updated, the method further comprising downloading information from the cloud server and estimating the humidity based on the downloaded information.