Method to detect loss of fluid or blockage in a hydraulic circuit using exponentially weighted moving average filter

Patent metadata

Field	Value
Publication number	US-9611931-B2
Application number	US-201213479629-A
Country	US
Kind code	B2
Filing date	May 24, 2012
Priority date	May 24, 2012
Publication date	Apr 4, 2017
Grant date	Apr 4, 2017

Abstract

Method for detecting a fault condition in a vehicular hydraulic circuit during a drive cycle using an electric pump includes monitoring an actual pump torque and monitoring a desired pump torque. A current confidence factor is determined based on the actual pump torque and the desired pump torque. An average confidence factor is iteratively calculated based on the current confidence factor and previously determined confidence factors. The average confidence factor is compared to a fault condition threshold. An absence of the fault condition in the hydraulic circuit is detected when the average confidence factor is at least the fault condition threshold, and a presence of the fault condition in the hydraulic circuit is detected when the average confidence factor is less than the fault condition threshold.

First claim

The invention claimed is:

1. Method for detecting a fault condition in a vehicular hydraulic circuit during a drive cycle using an electric pump comprising:
within a control module:
monitoring an actual electric pump torque and a desired electric pump torque;
controlling the electric pump to achieve the desired electric pump torque; and

within a hydraulic circuit failure determination controller comprising a computerized processor imbedded in the control module, operating programming configured to:
iteratively determine a current confidence factor based on the actual electric pump torque and the desired electric pump torque;
diagnose through the iteratively determined confidence factors the fault condition comprising one of a blocked hydraulic line and a low hydraulic fluid level, comprising:
applying a statistical filter comprising a weighted factor increasing statistical weight of recent confidence factor values, wherein the statistical filter is calibrated to:
filter out anomalous confidence factor values; and
calculate an average confidence factor;

comparing the average confidence factor to a fault condition threshold;
detecting a fault condition when the average confidence factor is less than the fault condition threshold; and
diagnosing the detected fault condition as one of the blocked hydraulic line fault condition and the low hydraulic fluid level fault condition based upon a comparison of the actual electric pump torque and the desired electric pump torque; and

execute a control action in response to the determined failure condition comprising at least one of,
recording a diagnostic trouble code corresponding to the determined failure condition, and
displaying a message corresponding to the determined failure condition.

2. The method of claim 1 wherein the monitored actual pump torque is measured at an output shaft of an electric motor that drives the electric pump.

3. The method of claim 1 wherein the desired pump torque comprises a target pump torque required to achieve a pump speed request for maintaining desired flow characteristics of hydraulic fluid for lubrication and temperature management within the hydraulic circuit.

4. The method of claim 1 wherein determining the current confidence factor comprises:
determining a torque deviation based on a deviation in the actual pump torque from the desired pump torque;
monitoring a current pump speed; and
determining the current confidence factor as a function of the torque deviation at the current pump speed.

5. The method of claim 1 wherein the statistical filter comprises an exponentially weighted moving average (EWMA) filter.

6. An apparatus, comprising:
an electric motor;
a sump for storing a hydraulic fluid;
a hydraulic circuit comprising at least a lubrication and temperature management subsystem for lubricating and cooling transmission components;
an electric pump comprising the electric motor and pump and having an inlet port in fluid communication with the sump and an outlet port for providing the hydraulic fluid to the hydraulic circuit; and
a hydraulic circuit failure determination controller comprising a computerized processor, operating programming configured to:
monitor an actual electric pump torque and a desired electric pump torque;

iteratively determine a current confidence factor based on the actual electric pump torque and the desired electric pump torque;
diagnose through the iteratively determined confidence factors the fault condition comprising one of a blocked hydraulic line and a low hydraulic fluid level;
comprising:
applying a statistical filter comprising a weighted factor increasing statistical weight of recent confidence factor values, wherein the statistical filter is calibrated to:
filter out anomalous confidence factor values; and
calculate an average confidence factor;
diagnose the fault condition rapidly through a trend in the recent confidence factor values; and

comparing the average confidence factor to a fault condition threshold;
detecting a fault condition when the average confidence factor is less than the fault condition threshold; and
diagnosing the detected fault condition as one of the blocked hydraulic line fault condition and the low hydraulic fluid level fault condition based upon a comparison of the actual electric pump torque and the desired electric pump torque; and

execute a control action in response to the determined failure condition comprising at least one of,
recording a diagnostic trouble code corresponding to the determined failure condition, and
displaying a message corresponding to the determined failure condition.

7. The apparatus of claim 6 wherein the monitored actual pump torque is measured at an output shaft of the electric motor.

8. The apparatus of claim 6 wherein monitoring the actual pump torque comprises: monitoring an actual pump speed; and
determining the actual pump torque based upon the actual pump speed.

9. The apparatus of claim 6 wherein the statistical filter comprises an exponentially weighted moving average (EWMA) filter.

Assignees

• Naqvi Ali K
• Zettel Andrew M
• Rawls Vincent
• Kokotovich Nicholas
• Gm Global Tech Operations Llc

Inventors

• Naqvi Ali K
• Zettel Andrew M
• Rawls Vincent
• Kokotovich Nicholas

Classifications

• F16H61/12 Primary

  Detecting malfunction or potential malfunction, e.g. fail safe (in control of hydrostatic gearing F16H61/4192) {; Circumventing or fixing failures} · CPC title

• F16H61/0031

  using auxiliary pumps, e.g. pump driven by a different power source than the engine · CPC title

• F16H57/0442

  for supply in case of failure, i.e. auxiliary supply · CPC title

• F16H2061/1208

  with diagnostic check cycles; Monitoring of failures · CPC title