Method for improving fuel economy test precision in on-road vehicles

• US 10,458,830 B2
• Filed: 08/02/2017
• Issued: 10/29/2019
• Est. Priority Date: 08/19/2016
• Status: Active Grant

• Current Assignee: ExxonMobil Research & Engineering Company (Exxon Mobil Corporation)
• Original Assignee: ExxonMobil Research & Engineering Company (Exxon Mobil Corporation)
• Inventors: Gao, Zhisheng, Jetter, Steven M., Conti, Riccardo, Andrews, Arthur T., Subramanian, Aparna, Koenig, Leonard R., Kennedy, Steven
• Primary Examiner(s): McCall, Eric S.
• Application Number:
  US15/667,135
• Publication Number:
  US 20180052025A1
• Time in Patent Office: 818 Days
• Field of Search: 7311452, 7311453, 7311454
• CPC Class Codes: G01F 9/02 wherein the other variable is the speed of a vehicle
• CPC Class Codes: G01M 15/05 by combined monitoring of two or more different engine parameters
• CPC Class Codes: G07C 2205/02 using a vehicle scan tool
• CPC Class Codes: G07C 5/008 communicating information to a remotely located station transmission systems for measured values G08C

Abstract

A method for improving fuel efficiency testing precision in on-road vehicles. The method comprises: installing one or more dataloggers in one or more vehicles, each datalogger configured to receive fuel consumption data broadcast by an on-road vehicle'"'"'s engine control unit (ECU); transmitting the fuel consumption data from the one or more dataloggers in the one or more on-road vehicles to a processor; and analyzing, using the processor, the fuel consumption data from the one or more dataloggers in the one or more on-road vehicles to determine fuel efficiency of the one or more on-road vehicles. The fuel consumption data comprises fuel rate data from the ECU which is transmitted through the one or more dataloggers, engine speed and other operating parameters from the ECU that are transmitted through the one or more dataloggers, torque sensor data which is transmitted through the one or more dataloggers, and traditional fuel log data.

Claims

1. A method for improving fuel efficiency testing precision in on-road vehicles, the method comprising:

installing one or more dataloggers in one or more vehicles, each datalogger configured to receive fuel consumption data broadcast by an on-road vehicle'"'"'s engine control unit (ECU);

transmitting the fuel consumption data from the one or more dataloggers in the one or more on-road vehicles to a processor; and

analyzing, using the processor, the fuel consumption data from the one or more dataloggers in the one or more on-road vehicles to determine fuel efficiency of the one or more on-road vehicles; and

wherein the fuel consumption data from the one or more data loggers compares one or more of the following;

lubricants of different viscometric properties;

mineral versus synthetic lubricants including engine oils, gear oils, and hydraulic fluids;

combinations of lubricants and hardware designs;

lubricants with and without friction modifiers;

lubricants with different frictional properties;

fresh lubricants and aged lubricants; and

combinations of lubricants and fuels.

2. The method of claim 1 further comprising:

installing one or more torque sensors in the one or more vehicles, each torque sensor configured to measure torque value in the one or more on-road vehicles.

3. The method of claim 1 wherein the one or more dataloggers are telematic devices.

4. The method of claim 1 wherein the different lubricants are lubricants with different viscosity grades, low and high shear viscosities at different temperatures, or with different additives or different concentrations of additives.

5. The method of claim 1 wherein the fuel consumption data comprises fuel rate data from the ECU which is transmitted through the one or more dataloggers, engine speed and other operating parameters from the ECU that are transmitted through the one or more dataloggers, torque sensor data which is transmitted through the one or more dataloggers, and traditional fuel log data.

6. The method of claim 1 wherein the fuel consumption data describes at least one of a plurality of on-road vehicle parameters selected from vehicle speed, fuel level, engine speed, load, mass air flow, manifold air pressure, and odometer reading.

7. The method of claim 1 wherein the analyzing comprises determining an amount of fuel consumed by the one or more on-road vehicles during an interval, determining a distance traveled by the one or more on-road vehicles during the interval, and calculating the one or more on-road vehicle'"'"'s fuel efficiency from the amount of fuel consumed and the distance traveled during the interval.

8. The method of claim 1 wherein the processor is configured to algorithmically calculate the fuel efficiency of the one or more on-road vehicles based on fuel consumption data transmitted from the one or more dataloggers in the one or more on-road vehicles.

9. The method of claim 1 further comprising:

collecting, in one or more databases, the transmitted fuel consumption data from the one or more dataloggers in the one or more on-road vehicles.

10. The method of claim 9 wherein the one or more databases store, review and filter data and information for comparing lubricants of different viscometric properties;

mineral versus synthetic lubricants;

combinations of lubricants and hardware designs;

lubricants with and without friction modifiers;

lubricants with different frictional properties;

fresh lubricants and aged lubricants; and

combinations of lubricants and fuels.

11. The method of claim 9 wherein the one or more databases allow for selective mining and statistical treatment of:

operating regimes across vehicles;

near continuous operational data on specific vehicles or classes of vehicles;

identification of vehicles or time periods where measured operation is outside of typical domains;

selective filtering of data based on operational data parameters; and

associating vehicle engines with keys linked to external oil analysis.

12. The method of claim 1 further comprising:

correlating fuel rate and power produced sufficient to form a basis for normalization of different fuel rates to the same average power.

13. The method of claim 12 wherein normalization is calculated by the formula

FR2=FR1+k(P2−

P1)

wherein FR2 is the normalized fuel rate, FR1 is the original fuel rate, k is the slope of a fuel rate versus power plot, P2 is the average power to be normalized to, and P1 is the original power.

14. The method of claim 1 wherein the analyzing comprises determining an amount of fuel consumed under normal driving conditions and idle conditions, and calculating the one or more on-road vehicle'"'"'s fuel efficiency from the amount of fuel consumed under the normal driving conditions and the idle conditions.

15. The method of claim 14 wherein the analyzing further comprises determining one or more of driving speed, engine revolutions per minute (rpm), and engine operating conditions under normal driving conditions and idle conditions, and calculating the one or more on-road vehicle'"'"'s fuel efficiency from one or more of driving speed, engine revolutions per minute (rpm), and engine operating conditions under normal driving conditions and idle conditions.

16. A method for improving fuel efficiency testing precision in on-road vehicles, the method comprising:

installing one or more dataloggers in one or more vehicles, each datalogger configured to receive fuel consumption data broadcast by an on-road vehicle'"'"'s engine control unit (ECU);

installing one or more torque sensors in the one or more vehicles, each torque sensor configured to measure torque values in the one or more on-road vehicles;

transmitting the fuel consumption data from the one or more dataloggers and the torque values from the one or more torque sensors in the one or more on-road vehicles to a processor; and

analyzing, using the processor, the fuel consumption data from the one or more dataloggers and the torque values from the one or more torque sensors in the one or more on-road vehicles to determine fuel efficiency of the one or more on-road vehicles; and

wherein the fuel consumption data from the one or more data loggers compares one or more of the following;

lubricants of different viscometric properties;

mineral versus synthetic lubricants including engine oils, gear oils, and hydraulic fluids;

combinations of lubricants and hardware designs;

lubricants with and without friction modifiers;

lubricants with different frictional properties;

fresh lubricants and aged lubricants; and

combinations of lubricants and fuels.

17. The method of claim 16 wherein the fuel consumption data comprises fuel rate data from the ECU which is transmitted through the one or more dataloggers, engine speed and other operating parameters from the ECU that are transmitted through the one or more dataloggers, torque sensor data which is transmitted through the one or more dataloggers, and traditional fuel log data.

18. The method of claim 16 further comprising:

collecting, in one or more databases, the transmitted fuel consumption data from the one or more dataloggers and the one or more torque sensors in the one or more on-road vehicles.

19. The method of claim 16 wherein the processor is configured to algorithmically calculate the fuel efficiency of the one or more on-road vehicles based on fuel consumption data transmitted from the one or more dataloggers and the one or more torque sensors in the one or more on-road vehicles.

20. A method for determining oil drain interval in on-road vehicles, the method comprising:

installing one or more dataloggers in one or more vehicles, each datalogger configured to receive fuel consumption data broadcast by an on-road vehicle'"'"'s engine control unit (ECU);

installing one or more torque sensors in the one or more vehicles, each torque sensor configured to measure torque values in the one or more on-road vehicles;

transmitting the fuel consumption data from the one or more dataloggers and the torque values from the one or more torque sensors in the one or more on-road vehicles to a processor; and

analyzing, using the processor, the fuel consumption data from the one or more dataloggers and the torque values from the one or more torque sensors in the one or more on-road vehicles to determine fuel efficiency of the one or more on-road vehicles;

determining the oil age by measuring the time interval from the time the oil was changed until the time when the fuel efficiency is reduced significantly;

wherein the oil drain interval is determined by the relationship between fuel efficiency and oil age.

21. The method of claim 20 wherein the fuel consumption data describes at least one of a plurality of on-road vehicle parameters selected from vehicle speed, fuel level, engine speed, load, mass air flow, manifold air pressure, and odometer reading.

22. The method of claim 20 wherein the analyzing comprises determining an amount of fuel consumed by the one or more on-road vehicles during an interval, determining a distance traveled by the one or more on-road vehicles during the interval, and calculating the one or more on-road vehicle'"'"'s fuel efficiency from the amount of fuel consumed and the distance traveled during the interval.

23. The method of claim 20 further comprising:

correlating fuel rate and power produced sufficient to form a basis for normalization of different fuel rates to the same average power.

24. The method of claim 23 wherein normalization is calculated by the formula

FR2=FR1+k(P2−

P1)

wherein FR2 is the normalized fuel rate, FR1 is the original fuel rate, k is the slope of a fuel rate versus power plot, P2 is the average power to be normalized to, and P1 is the original power.

25. The method of claim 20 wherein the analyzing comprises determining an amount of fuel consumed under normal driving conditions and idle conditions, and calculating the one or more on-road vehicle'"'"'s fuel efficiency from the amount of fuel consumed under the normal driving conditions and the idle conditions.

26. The method of claim 25 wherein the analyzing further comprises determining one or more of driving speed, engine revolutions per minute (rpm), and engine operating conditions under normal driving conditions and idle conditions, and calculating the one or more on-road vehicle'"'"'s fuel efficiency from one or more of driving speed, engine revolutions per minute (rpm), and engine operating conditions under normal driving conditions and idle conditions.