Forecast of driveline lash condition for multivariable active driveline damping control

Patent metadata

Field	Value
Publication number	US-9290089-B2
Application number	US-201113094946-A
Country	US
Kind code	B2
Filing date	Apr 27, 2011
Priority date	Apr 27, 2011
Publication date	Mar 22, 2016
Grant date	Mar 22, 2016

Abstract

A method to predict a driveline lash condition includes monitoring an axle torque request signal, determining a predicted axle torque request value at a lead time based upon the monitored axle torque request signal, and predicting the driveline lash condition at the lead time based upon the predicted axle torque request value indicating an upcoming zero torque condition.

First claim

The invention claimed is:

1. Method to predict a driveline lash condition for a powertrain, the method comprising:
monitoring a series of current axle torque request signal values;
predictively determining an axle torque request value at a lead time based upon the series of current axle torque request signal values;
predicting, using a controller, the driveline lash condition at the lead time based upon the predictively determined axle torque request value indicating an upcoming zero torque condition;
and further comprising
monitoring a current axle torque estimate signal; and
determining the current axle torque estimate signal to indicate one of a positive current axle torque and a negative current axle torque;
wherein, if the current axle torque estimate signal is determined to indicate the positive current axle torque, predicting the driveline lash condition at the lead time comprises:
comparing the predictively determined axle torque request value to a positive torque prediction threshold value; and
predicting the driveline lash condition based upon the predictively determined axle torque request value being less than the positive torque prediction threshold value; and
wherein, if the current axle torque estimate signal is determined to indicate the negative current axle torque, predicting the driveline lash condition at the lead time comprises:
comparing the predictively determined axle torque request value to a negative torque prediction threshold value; and
predicting the driveline lash condition based upon the predictively determined axle torque request value being greater than the negative torque prediction threshold value;
controlling the powertrain based upon the predicted driveline lash condition.

2. The method of claim 1 :
wherein, if the current axle torque estimate signal is determined to indicate the positive current axle torque, predicting the driveline lash condition at the lead time further comprises:
comparing the current axle torque estimate signal to a range defined by a positive minimum torque threshold value and a positive maximum torque threshold value;
comparing the current axle torque request signal values to a positive torque request threshold value; and
predicting the driveline lash condition further based upon the current axle torque estimate signal being within the range defined by the positive minimum torque threshold value and the positive maximum torque threshold value and the current axle torque request signal values being less than the positive torque request threshold value; and

wherein, if the current axle torque estimate signal is determined to indicate the negative current axle torque, predicting the driveline lash condition at the lead time further comprises:
comparing the current axle torque estimate signal to a range defined by a negative minimum torque threshold value and a negative maximum torque threshold value;
comparing the current axle torque request signal values to a negative torque request threshold value; and
predicting the driveline lash condition further based upon the current axle torque estimate signal being within the range defined by the negative minimum torque threshold value and the negative maximum torque threshold value and the current axle torque request signal values being greater than the negative torque request threshold value.

3. The method of claim 1 , wherein predictively determining the axle torque request value at the lead time comprises:
utilizing a first-order prediction based upon a plurality of values of the current axle torque request signal values to linearly predict the axle torque request value at the lead time.

4. The method of claim 1 , wherein predictively determining the axle torque request value at the lead time comprises:
filtering the current axle torque request signal values to generate a filtered axle torque request signal; and
utilizing a first-order prediction based upon a plurality of values of the filtered axle torque request signal to linearly predict the axle torque request value at the lead time.

5. The method of claim 1 , wherein predictively determining the axle torque request value at the lead time comprises:
utilizing a second-order prediction based upon at least three values of the current axle torque request signal values to non-linearly predict the axle torque request value at the lead time.

6. The method of claim 1 , wherein predictively determining the axle torque request value at the lead time comprises:
filtering the current axle torque request signal values to generate a filtered axle torque request signal; and
utilizing a second-order prediction based upon at least three values of the filtered axle torque request signal to non-linearly predict the axle torque request value at the lead time.

7. The method of claim 1 , wherein predicting the driveline lash condition at the lead time based upon the predictively determined axle torque request value indicating the upcoming zero torque condition comprises:
predicting the driveline lash condition based upon comparing the predictively determined axle torque request value to a torque prediction threshold value.

8. The method of claim 7 , further comprising:
monitoring a current axle torque estimate signal; and
wherein predicting the driveline lash condition is further based upon the current axle torque estimate signal being within a low axle torque estimate range.

9. The method of claim 8 , wherein predicting the driveline lash condition is further based upon comparing the monitored current axle torque request signal values to a torque request threshold value.

10. The method of claim 7 , wherein predicting the driveline lash condition is further based upon comparing the monitored current axle torque request signal values to a torque request threshold value.

11. The method of claim 1 , wherein controlling the powertrain based upon the predicted driveline lash condition comprises commanding corrective measures to mitigate effect of the predicted driveline lash condition.

12. The method of claim 11 , further comprising:
monitoring a current axle torque estimate signal; and
ceasing commanding the corrective measures based upon a lash condition time span exceeding a minimum lash hold time and the current axle torque estimate signal exceeding a recovery axle torque estimate threshold.

13. Method to predict a vehicle driveline lash condition, the method comprising:
monitoring a current axle torque estimate signal;
monitoring a series of current axle torque request signal values;
filtering the current axle torque request signal values to generate a filtered axle torque request signal;
predictively determining a first axle torque request value at a first lead time using two values of the filtered axle torque request signal to determine a real-time linearly predicted axle torque request value;
predictively determining a second axle torque request value at a second lead time using three values of the filtered axle torque request signal to determine a real-time non-linearly predicted axle torque request value;
predicting the driveline lash condition based upon the current axle torque estimate signal being within a low axle torque estimate range, the current axle torque request signal values being less than a torque request threshold value, and one of the first and second predictively determined axle torque request values being less than a torque prediction threshold value;
commanding, using a controller, corrective measures based upon predicting the driveline lash condition; and
ceasing the corrective measures based upon a lash condition time span exceeding a min

Assignees

• Xia Houchun
• Morris Robert L
• Gm Global Tech Operations Inc

Inventors

• Xia Houchun
• Morris Robert L

Classifications

• B60W40/12

  related to parameters of the vehicle itself {, e.g. tyre models} · CPC title

• B60K6/365 Primary

  with the gears having orbital motion · CPC title

• B60W2510/1055

  Output torque change rate · CPC title

• B60K6/445

  Differential gearing distribution type · CPC title

• Y02T10/84

  Data processing systems or methods, management, administration · CPC title