System, method and computer program for simulating vehicle energy use

• US 9,157,383 B2
• Filed: 08/13/2013
• Issued: 10/13/2015
• Est. Priority Date: 09/25/2009
• Status: Active Grant

• Current Assignee: GeoTab Incorporated
• Original Assignee: Crosschasm Technologies Inc.
• Inventors: Stevens, Matthew, Mendes, Christopher J.
• Primary Examiner(s): CAMBY, RICHARD M
• Application Number:
  US13/965,639
• Publication Number:
  US 20140214311A1
• Time in Patent Office: 791 Days
• Field of Search: 701/29.1, 701/29.3, 701/32.1, 701/32.7, 701/32.9, 701/33.4, 701/34.2, 701/34.4, 701/36, 701/104
• US Class Current: 1/1
• CPC Class Codes: F02D 19/026 Measuring or estimating parameters related to the fuel supply system
• CPC Class Codes: G06Q 10/04 Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem" market predictions or forecasting for commercial activities G06Q30/0202
• CPC Class Codes: G07C 5/008 communicating information to a remotely located station transmission systems for measured values G08C
• CPC Class Codes: G07C 5/0816 Indicating performance data, e.g. occurrence of a malfunction

Abstract

A system, method and computer program for simulating vehicle energy use is provided. Drive cycle data collected during real-world driving of at least one vehicle is received by at least one computing device, and engine torque information associated with the real-world driving of the at least one vehicle is also received. Vehicle payload mass of the at least one vehicle is estimated based at least partly on the respective received engine torque information, and energy use of the at least one vehicle is estimated based at least partly on the respective drive cycle data, the respective torque information, and the estimated vehicle payload mass.

Claims

1. A system for simulating energy use of at least one vehicle, the system comprising at least one computing device configured to:

receive drive cycle data collected during real-world driving of the at least one vehicle;

receive engine torque information associated with the real-world driving of the at least one vehicle;

estimate vehicle payload mass of the at least one vehicle based at least partly on the respective received engine torque information; and

estimate energy use of the at least one vehicle based at least partly on the respective drive cycle data, the respective engine torque information, and the estimated vehicle payload mass.

2. The system of claim 1 wherein the at least one computing device is configured to estimate road grade information based at least partly on the drive cycle data, and wherein the estimation of vehicle payload mass of the at least one vehicle is further based at least partly on the respective estimated road grade information.

3. The system of claim 2 wherein the estimation of the road grade information is further based at least partly on a correspondence of GPS location information associated with the respective drive cycle data and a database of road elevation information.

4. The system of claim 1 wherein the at least one computing device is configured to apply a low pass filter to the estimated vehicle payload mass prior to the estimation of the energy use.

5. The system of claim 1 wherein the drive cycle data comprises vehicle trip data for a plurality of vehicle trips of the at least one vehicle;

the received engine torque information comprises engine torque information for each of the plurality of vehicle trips by the at least one vehicle;

the estimation of the vehicle payload mass comprises the at least one computing device configured to estimate the vehicle payload mass of the at least one vehicle for each of the plurality of vehicle trips by the at least one vehicle based at least partly on the respective received engine torque information for the respective vehicle trip; and

the estimation of the energy use comprises the at least one computing device configured to estimate the energy use of the at least one vehicle for each of the plurality of vehicle trips by the at least one vehicle based at least partly on the respective drive cycle data for the respective vehicle trip, the respective engine torque information for the respective vehicle trip, and the respective estimated vehicle payload mass for the respective vehicle trip.

6. The system of claim 5 wherein a beginning of each respective vehicle trip indicates the respective at least one vehicle entering an on state.

7. The system of claim 5 wherein an end of each respective vehicle trip indicates the respective at least one vehicle entering an off state.

8. The system of claim 5 wherein an ending of a respective vehicle trip and a beginning of another respective vehicle trip indicates the respective at least one vehicle having idled for a predetermined period of time.

9. The system of claim 5 wherein the at least one computing device is configured to apply a low pass filter to the respective estimated vehicle payload mass for the respective vehicle trip prior to the estimation of the energy use for the respective vehicle trip.

10. The system of claim 1 wherein the at least one computing device is configured to estimate the accessory load of the at least one vehicle based at least partly on environmental measurements at the at least one vehicle;

and wherein the estimation of the energy use of the at least one vehicle is further based at least partly on the respective estimated accessory load of the at least one vehicle.

11. The system of claim 1 wherein the at least one computing device is configured to aggregate the estimated energy use of the at least one vehicle to produce aggregated estimated energy use results.

12. The system of claim 1 wherein the at least one computing device is in communication with the one or more vehicles over a communications network.

13. The system of claim 1 wherein the drive cycle data is collected by a data logging tool associated with the one or more vehicles.

14. The system of claim 13 wherein the data logging tool includes a memory for storing the drive cycle data prior to the data logging tool communicating the drive cycle data to the at least one computing device.

15. The system of claim 1 wherein the drive cycle data includes telematic and informational data.

16. The system of claim 15 wherein the telematic data includes speed versus time, GPS, road grade, or any combination thereof.

17. The system of claim 15 wherein the informational data includes environmental factors related to the real-world driving conditions, vehicle mass, torque, drag, temperature, or any combination thereof.

18. The system of claim 1 wherein at least one computing device is configured to estimate a vehicle range of the at least one vehicle based at least partly on the estimated energy use of the at least one vehicle.

19. A method for simulating energy use of at least one vehicle, the method performed by at least one computing device, the method comprising:

receiving drive cycle data collected during real-world driving of the at least one vehicle;

receiving engine torque information associated with the real-world driving of the at least one vehicle;

estimating vehicle payload mass of the at least one vehicle based at least partly on the respective received engine torque information; and

estimating energy use of the at least one vehicle based at least partly on the respective drive cycle data, the respective engine torque information, and the estimated vehicle payload mass.

20. The method of claim 19 wherein the estimation of the road grade information is based at least partly on the drive cycle data, and wherein the estimation of vehicle payload mass of the at least one vehicle is further based at least partly on the respective estimated road grade information.

21. The method of claim 20 wherein the estimation of the road grade information is further based at least partly on a correspondence of GPS location information associated with the respective drive cycle data and a database of road elevation information.

22. The method of claim 19 comprising applying a low pass filter to the estimated vehicle payload mass prior to the estimation of the energy use.

23. The method of claim 19 wherein the drive cycle data comprises vehicle trip data for a plurality of vehicle trips of the at least one vehicle;

the received engine torque information comprises engine torque information for each of the plurality of vehicle trips by the at least one vehicle;

the estimation of the vehicle payload mass comprises estimating the vehicle payload mass of the at least one vehicle for each of the plurality of vehicle trips by the at least one vehicle based at least partly on the respective received engine torque information for the respective vehicle trip;

the estimation of the energy use comprises estimating the energy use of the at least one vehicle for each of the plurality of vehicle trips by the at least one vehicle based at least partly on the respective drive cycle data for the respective vehicle trip, the respective engine torque information for the respective vehicle trip, and the respective estimated vehicle payload mass for the respective vehicle trip.

24. The method of claim 23 wherein a beginning of each respective vehicle trip indicates the respective at least one vehicle entering an on state.

25. The method of claim 23 wherein an end of each respective vehicle trip indicates the respective at least one vehicle entering an off state.

26. The method of claim 23 wherein an ending of a respective vehicle trip and a beginning of another respective vehicle trip indicates the respective at least one vehicle having idled for a predetermined period of time.

27. The method of claim 23 comprising applying a low pass filter to the respective estimated vehicle payload mass for the respective vehicle trip prior to the estimation of the energy use for the respective vehicle trip.

28. The method of claim 19 comprising estimating the accessory load of the at least one vehicle based at least partly on environmental measurements at the at least one vehicle;

and wherein the estimation of the energy use of the at least one vehicle is further based at least partly on the respective estimated accessory load of the at least one vehicle.

29. The method of claim 19 comprising aggregating the estimated energy use of the at least one vehicle to produce aggregated estimated energy use results.

30. The method of claim 19 wherein the at least one computing device is in communication with the one or more vehicles over a communications network.

31. The method of claim 19 wherein the drive cycle data is collected by a data logging tool associated with the one or more vehicles.

32. The method of claim 31 wherein the data logging tool includes a memory for storing the drive cycle data prior to the data logging tool communicating the drive cycle data to the at least one computing device.

33. The method of claim 19 wherein the drive cycle data includes telematic and informational data.

34. The method of claim 33 wherein the telematic data includes speed versus time, GPS, road grade, or any combination thereof.

35. The method of claim 33 wherein the informational data includes environmental factors related to the real-world driving conditions, vehicle mass, torque, drag, temperature, or any combination thereof.

36. The method of claim 19 comprising estimating a vehicle range of the at least one vehicle based at least partly on the estimated energy use of the at least one vehicle.

37. A non-transitory computer program product tangibly embodying code that, when executed by a processor, causes the processor to carry out the method of claim 19.