Method and apparatus for monitoring an on-vehicle controller

• US 10,279,816 B2
• Filed: 03/07/2017
• Issued: 05/07/2019
• Est. Priority Date: 03/07/2017
• Status: Active Grant

• Current Assignee: GM Global Technology Operations LLC (General Motors Company)
• Original Assignee: GM Global Technology Operations LLC (General Motors Company)
• Inventors: Jiang, Shengbing, Menon, Sandeep U., Thomas, James K.
• Primary Examiner(s): Badii, Behrang
• Assistant Examiner(s): Testardi, David A
• Application Number:
  US15/451,908
• Publication Number:
  US 20180257663A1
• Time in Patent Office: 791 Days
• CPC Class Codes: B60W 2510/06 Combustion engines, Gas turbines
• CPC Class Codes: B60W 2520/10 Longitudinal speed
• CPC Class Codes: B60W 2520/26 Wheel slip
• CPC Class Codes: B60W 2540/10 Accelerator pedal position
• CPC Class Codes: B60W 2540/12 Brake pedal position
• CPC Class Codes: B60W 2555/20 Ambient conditions, e.g. wind or rain
• CPC Class Codes: B60W 2556/50 of positioning data, e.g. GPS [Global Positioning System] data
• CPC Class Codes: B60W 50/0205 Diagnosing or detecting failures; Failure detection models
• CPC Class Codes: B60W 50/04 Monitoring the functioning of the control system
• CPC Class Codes: G05B 23/0275 Fault isolation and identification, e.g. classify fault; estimate cause or root of failure
• CPC Class Codes: G06F 11/0739 in a data processing system embedded in automotive or aircraft systems
• CPC Class Codes: G06F 11/0781 Error filtering or prioritizing based on a policy defined by the user or on a policy defined by a hardware/software module, e.g. according to a severity level
• CPC Class Codes: G06F 11/079 Root cause analysis, i.e. error or fault diagnosis in a hardware test environment G06F11/22; in a software test environment G06F11/36
• CPC Class Codes: G06F 11/3452 Performance evaluation by statistical analysis
• CPC Class Codes: G07C 5/0808 Diagnosing performance data testing of vehicles G01M17/00; testing of electrical installation on vehicles G01R31/005

Abstract

A method for monitoring a controller for a vehicle includes determining configuration information associated with the vehicle and determining vehicle operating states associated with a plurality of conditions. A statistical analysis is executed to correlate a plurality of faults with the vehicle operating states and the configuration information associated with the vehicle. The plurality of faults in the controller can be isolated to one of a hardware fault or a software fault based upon the statistical analysis and the configuration information associated with the vehicle.

Claims

1. A method for monitoring a controller of a vehicle, the method comprising:

detecting occurrence of a fault associated with operation of the controller in the vehicle;

determining configuration information associated with the vehicle;

determining vehicle operating states, wherein the vehicle operating states include software execution states including a software mode change, a module triggering event including a power-on or a power-off event, and a function request;

correlating, via a second controller, the fault with the vehicle operating states and the configuration information associated with the vehicle;

isolating, via the second controller, the fault to one of a hardware fault or a software fault associated with the controller based upon the correlation and the configuration information associated with the vehicle; and

generating, via the second controller, an output indicating the fault that is isolated to one of the hardware fault or the software fault;

wherein the second controller is disposed off-vehicle.

2. The method of claim 1, wherein determining the configuration information includes determining a controller hardware configuration, a software update level, controller manufacturing site information, vehicle assembly site information, and a vehicle assembly date.

3. The method of claim 1, wherein determining vehicle operating states further comprises determining occurrence of diagnostic trouble codes and associated fault reports.

4. The method of claim 1, wherein determining vehicle operating states further comprises determining environmental states.

5. The method of claim 4, wherein the environmental states include temperature, vibration, humidity, precipitation and geographic location.

6. The method of claim 1, wherein determining the vehicle operating states further comprises determining at least one of odometer, speed, power mode, engine running status, steering wheel angle, accelerator pedal position, and brake pedal position.

7. The method of claim 1, wherein correlating the fault with the vehicle operating states and the configuration information associated with the vehicle comprises:

determining baseline and fault probability distributions for each of the plurality of conditions; and

determining a correlation coefficient based upon the baseline and fault probability distributions.

8. The method of claim 7, wherein determining baseline and fault probability distributions comprises executing a discrete probability function to determine the baseline and fault probability distributions.

9. A system including a controller operatively connected to a powertrain system of a vehicle and including a memory device including executable code and a calibration, and a remote controller configured to:

detect occurrence of a fault associated with operation of the controller in the vehicle;

determine configuration information associated with the vehicle;

determine vehicle operating states associated with a plurality of conditions associated with the controller, wherein the conditions associated with the controller include software execution, software version, controller environment, hardware version, assembly plant, and in-use;

correlate the fault with the vehicle operating states associated with the plurality of conditions and the configuration information associated with the vehicle;

isolate, via the remote controller, the fault in the controller to one of a hardware fault and a software fault based upon the correlation and the configuration information associated with the vehicle; and

generate, via the remote controller, an output indicating the fault that is isolated to one of the hardware fault and the software fault.

10. The system of claim 9, wherein the remote controller configured to correlate the fault with the vehicle operating states associated with the plurality of conditions and the configuration information associated with the vehicle is configured to:

determine baseline and fault probability distributions for each of the plurality of conditions; and

determine a correlation coefficient for each of the plurality of conditions based upon the baseline and fault probability distributions.

11. The system of claim 10, comprising the remote controller configured to execute a discrete probability function to determine the baseline and fault probability distributions.

12. The system of claim 9, wherein the configuration information includes a controller hardware configuration, a software update level, controller manufacturing site information, vehicle assembly site information, and a vehicle assembly date.

13. The system of claim 9, wherein the vehicle operating states further comprise occurrence of diagnostic trouble codes and associated fault reports.

14. The system of claim 9, wherein the vehicle operating states further comprise environmental conditions including temperature, vibration, humidity, precipitation and geographic location.

15. The system of claim 9, wherein the vehicle operating states further comprise software execution conditions.

16. The system of claim 15, wherein the software execution conditions include one of a presence or occurrence of a mode change, a module triggering event including power-on or power-off events, and a function request.

17. The system of claim 9, wherein the vehicle operating states further comprise at least one of odometer, speed, power mode, engine running status, steering wheel angle, accelerator pedal position, and brake pedal position.