Adjustments for engine spark using remote data

• US 9,341,126 B2
• Filed: 05/13/2014
• Issued: 05/17/2016
• Est. Priority Date: 05/13/2014
• Status: Active Grant

• Current Assignee: Ford Global Technologies, LLC (Ford Motor Company)
• Original Assignee: Ford Global Technologies, LLC (Ford Motor Company)
• Inventors: Miller, Kenneth James, Martin, Douglas Raymond, Jackson, Kenneth J.
• Primary Examiner(s): YOUNG, EDWIN
• Application Number:
  US14/276,044
• Publication Number:
  US 20150330320A1
• Time in Patent Office: 735 Days
• Field of Search: None
• US Class Current: 1/1
• CPC Class Codes: B60W 10/06 including control of combustion engines
• CPC Class Codes: B60W 10/10 including control of change-speed gearings
• CPC Class Codes: B60W 30/1882 characterised by the working point of the engine, e.g. by using engine output chart
• CPC Class Codes: F02D 35/027 using knock sensors
• CPC Class Codes: F02D 41/266 the computer being backed-up or assisted by another circuit, e.g. analogue
• CPC Class Codes: F02P 5/1502 using one central computing unit
• CPC Class Codes: F02P 5/1518 using two or more central computing units, e.g. interpolation
• CPC Class Codes: F16H 2061/0232 Selecting ratios for bringing engine into a particular state, e.g. for fast warming up or for reducing exhaust emissions
• CPC Class Codes: F16H 59/60 Inputs being a function of ambient conditions
• CPC Class Codes: F16H 61/0213 characterised by the method for generating shift signals
• CPC Class Codes: Y02T 10/40 Engine management systems

Abstract

External data from a second computer external to a vehicle is received in an in-vehicle computer comprising a processor and a memory. At least one derived datum is generated from at least some of the external data. The at least one derived datum is used to make an adjustment to engine performance.

Claims

1. A system, comprising an in-vehicle computer comprising a processor and a memory, wherein the in-vehicle computer is configured to:

receive external data from a second computer external to the vehicle;

generate at least one derived datum from at least some of the external data; and

use the at least one derived datum to determine an engine adjustment to optimize conditions for engine spark; and

make the engine adjustment.

2. The system of claim 1, wherein the engine adjustment is at least one of an adjustment to advance engine spark, to retard engine spark, and to alter a shift schedule.

3. The system of claim 1, wherein the engine adjustment is an adjustment to a shift schedule.

4. The system of claim 1, wherein the in-vehicle computer is further configured to receive internal data from one or more data collectors in the vehicle, and to generate the derived datum based on internal data in addition to the external data.

5. The system of claim 4, wherein the internal data include at least one of an ambient temperature, a barometric pressure, a relative humidity, precipitation data, a sun load, a road grade, a vehicle speed, an air mass in the vehicle engine, an engine coolant temperature, and an air charge temperature.

6. The system of claim 4, wherein the internal data is received via a controller area network (CAN) bus in the vehicle, and the external data is received via a wide area network.

7. The system of claim 1, wherein the external data include at least one of an ambient temperature, a barometric pressure, a relative humidity, precipitation data, a sun load, a road grade, a wind velocity, a wind direction, and a vehicle speed.

8. The system of claim 1, wherein the in-vehicle computer is further configured to perform a rationality diagnostic with respect to at least one of the external data and internal data prior to generating the at least one derived datum.

9. The system of claim 8, wherein the rationality diagnostic includes an initial threshold test to determine whether the at least one of the external data and the internal data fall within a possible range of values.

10. The system of claim 8, wherein the rationality diagnostic is used to adjust a weighting of the at least one of the external data and the internal data.

11. A method, comprising:

receiving, in an in-vehicle computer comprising a processor and a memory, external data from a second computer external to the vehicle;

generating at least one derived datum from at least some of the external data; and

using the at least one derived datum to determine an engine adjustment to optimize conditions for engine spark; and

making the engine adjustment.

12. The method of claim 11, wherein the engine adjustment is at least one of an adjustment to advance engine spark, to retard engine spark, and to alter a shift schedule.

13. The method of claim 11, wherein the engine adjustment is an adjustment to a shift schedule.

14. The method of claim 11, further comprising receiving internal data from one or more data collectors in the vehicle, and generating the derived datum based on the internal data in addition to the external data.

15. The method of claim 14, wherein the internal data include at least one of an ambient temperature, a barometric pressure, a relative humidity, precipitation data, a sun load, a road grade, a vehicle speed, an air mass in the vehicle engine, an engine coolant temperature, and an air charge temperature.

16. The method of claim 14, further comprising performing a rationality diagnostic with respect to at least one of the external data and the internal data prior to generating the at least one derived datum.

17. The method of claim 16, wherein the rationality diagnostic includes an initial threshold test to determine whether the at least one of the external data and the internal data fall within a possible range of values.

18. The method of claim 16, wherein the rationality diagnostic is used to adjust a weighting of the at least one of the external data and the internal data.

19. The method of claim 14, wherein the internal data is received via a controller area network (CAN) bus in the vehicle, and the external data is received via a wide area network.

20. The method of claim 11, wherein the external data include at least one of an ambient temperature, a barometric pressure, a relative humidity, precipitation data, a sun load, a road grade, a wind velocity, a wind direction, and a vehicle speed.