Vehicle efficiency and defect recognition based on GPS location

• US 9,092,914 B2
• Filed: 06/24/2013
• Issued: 07/28/2015
• Est. Priority Date: 06/24/2013
• Status: Active Grant

• Current Assignee: ZF Friedrichshafen AG (Zeppelin - Stiftung der Stadt Friedrichshafen)
• Original Assignee: ZF Friedrichshafen AG (Zeppelin - Stiftung der Stadt Friedrichshafen)
• Inventors: Muetzel, Ronald, Roesch, Thomas
• Primary Examiner(s): Shaawat, Mussa A
• Assistant Examiner(s): JHA, ABDHESH K
• Application Number:
  US13/925,460
• Publication Number:
  US 20140379205A1
• Time in Patent Office: 764 Days
• US Class Current: 1/1
• CPC Class Codes: B60W 2050/046 involving external transmission of data to or from the vehicle, e.g. via telemetry, satellite, Global Positioning System [GPS]
• CPC Class Codes: B60W 50/00 Details of control systems for road vehicle drive control not related to the control of a particular sub-unit , e.g. process diagnostic or vehicle driver interfaces
• CPC Class Codes: B60W 50/04 Monitoring the functioning of the control system
• CPC Class Codes: G06Q 10/00 Administration; Management
• CPC Class Codes: G06Q 10/20 Administration of product repair or maintenance
• CPC Class Codes: G07C 5/00 Registering or indicating the working of vehicles
• CPC Class Codes: G07C 5/008 communicating information to a remotely located station transmission systems for measured values G08C
• CPC Class Codes: G07C 5/08 Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
• CPC Class Codes: G07C 5/0808 Diagnosing performance data testing of vehicles G01M17/00; testing of electrical installation on vehicles G01R31/005

Abstract

Apparatuses and methods are described for detecting vehicle efficiency and recognizing a vehicle defect. A vehicle operating parameter may be measured and recorded at a specific vehicle location. The measurement may be compared to prior measurements of the same operating parameter at the same location previously recorded for the same vehicle or a comparable vehicle. A vehicle defect may be detected where the measurement shows a statistical deviation from previous measurements. The vehicle'"'"'s operator, owner, lessee, or lessor may be notified of the defect.

Claims

1. A fault detection system comprising:

a first input configured to receive a location of a vehicle;

a second input configured to receive a first measurement of an operating parameter of the vehicle at the location; and

a processor in communication with the first input and the second input, the processor configured to determine whether there is a fault condition associated with the vehicle based on the first measurement, the location of the vehicle, and at least one additional measurement of the operating parameter,

wherein the at least one additional measurement is made at the location at a time prior to the first measurement;

wherein the processor is further configured to determine whether there is a fault condition associated the vehicle based on a series of additional measurements of the operating parameter of the vehicle;

wherein the processor is further configured to perform a statistical analysis on the series of additional measurements, and to compare a result of the statistical analysis with the first measurement to determine whether there is a fault condition associated with the vehicle;

wherein the processor is further configured to detect a fault with the vehicle when the first measurement is a predetermined distance from a mean of the series of measurements;

wherein the fault condition is indicative of a failing component of the vehicle.

2. The fault detection system of claim 1 wherein the location is expressed in latitude and longitude coordinates.

3. The fault detection system of claim 1 wherein the processor is further configured to determine whether there is a fault condition associated with the vehicle based on a statistical parameter calculated from the at least one additional measurement.

4. The fault detection system of claim 3 wherein the statistical parameter is any one of a mean, median, or standard deviation.

5. The fault detection system of claim 1 wherein the vehicle is a first vehicle, and the at least one additional measurement of the operating parameter is at least one additional measurement of the operating parameter of a second vehicle.

6. The fault detection system of claim 5 wherein the processor is further configured to determine whether there is a fault condition associated with the first vehicle based on a statistical parameter calculated from the at least one additional measurement.

7. The fault detection system of claim 5 wherein the processor is further configured to select the at least one additional measurement of the operating parameter of a second vehicle as the basis to determine whether there is a fault condition associated with the first vehicle based on a comparison of a first value associated with the first vehicle and a second value associated with the second vehicle.

8. The fault detection system of claim 7 wherein the first value is selected from a group consisting of size, weight, volume, manufacturer, age, and mileage of the first vehicle, and the second value is selected from a group consisting of size, weight, volume, manufacturer, age, and mileage of the second vehicle.

9. A fault detection apparatus comprising:

a first input configured to receive a location of a vehicle;

a second input configured to receive a first measurement of a first operating parameter of the vehicle at the location; and

a processor in communication with the first input and the second input, the processor configured to determine whether there is a fault condition associated with the vehicle based on the first measurement, the location of the vehicle, and at least one additional measurement of a second operating parameter,

wherein the at least one additional measurement is associated with the location, and

wherein the at least one additional measurement is made at a time prior to the first measurement;

wherein the processor is further configured to determine whether there is a fault condition associated the vehicle based on a series of additional measurements of the operating parameter of the vehicle;

wherein the processor is further configured to perform a statistical analysis on the series of additional measurements, and to compare a result of the statistical analysis with the first measurement to determine whether there is a fault condition associated with the vehicle;

wherein the processor is further configured to detect a fault with the vehicle when the first measurement is a predetermined distance from a mean of the series of measurements;

wherein the fault condition is indicative of a failing component of the vehicle.

10. The fault detection apparatus of claim 9 wherein the first input is configure to receive GPS coordinates.

11. The fault detection apparatus of claim 9 wherein the first operating parameter is different than the second operating parameter.

12. The fault detection apparatus of claim 9 wherein the at least one additional measurement is a series of measurements of the second operating parameter, and

wherein the first operating parameter is the same as the second operating parameter.

13. The fault detection apparatus of claim 12 wherein the processor is further configured to receive a statistical value associated with the series of measurements.

14. The fault detection apparatus of claim 12 wherein the processor is further configured to determine that the fault condition exists by comparing the statistical value with the first measurement,

wherein the fault condition is associated with the first operating parameter.

15. A method of detecting a fault within a vehicle, the method comprising:

receiving a first location of the vehicle;

receiving a measurement of an operating parameter of the vehicle at the first location; and

comparing the first location and the measurement with a profile to determine whether a fault exists with the vehicle,

wherein the profile is stored on a computer-readable medium and comprises;

a stored measurement of the operating parameter of the vehicle; and

a stored location for the stored measurement of the first measurement;

wherein the processor is further configured to determine whether there is a fault condition associated the vehicle based on a series of additional measurements of the operating parameter of the vehicle;

wherein the processor is further configured to perform a statistical analysis on the series of additional measurements, and to compare a result of the statistical analysis with the first measurement to determine whether there is a fault condition associated with the vehicle;

wherein the processor is further configured to detect a fault with the vehicle when the first measurement is a predetermined distance from a mean of the series of measurements;

wherein the fault condition is indicative of a failing component of the vehicle.

16. The method of claim 15 wherein the vehicle is a first vehicle and the profile further comprises:

a second stored measurement of a second operating parameter of a second vehicle; and

a second stored location for the second stored measurement of the second operating parameter of the second vehicle.