Ronald P Allison

US Patent:

6370469, Apr 9, 2002

Filed:

Jun 13, 2000

Appl. No.:

09/592831

Inventors:

Tam Anh Phung - Stanford CA
Ronald C. Allison - Clio MI
James R. Yurgil - Livonia MI
Thomas Eugene Bolander - Flint MI

Assignee:

General Motors Corporation - Detroit MI

International Classification:

G06F 1700

US Classification:

701 93, 180172

Abstract:

A method of controlling a cruise control system, comprising the steps of: assigning a low lateral acceleration limit; assigning a high lateral acceleration limit; determining a lateral acceleration of a vehicle; comparing the lateral acceleration to the low and high lateral acceleration limits; monitoring a torque command of a torque control computer at least where the lateral acceleration is above the low lateral acceleration limit; and compensating the torque command by setting the torque command equal to a minimum torque command where the lateral acceleration is between the low and high lateral acceleration limits and the torque command increases.

US Patent:

6510377, Jan 21, 2003

Filed:

May 21, 2001

Appl. No.:

09/862222

Inventors:

Tam A. Phung - Sunnyvale CA
Ronald C. Allison - Clio MI
James R. Yurgil - Livonia MI
Xiaowen Dai - Farmington MI
Thomas E. Bolander - Flint MI

Assignee:

General Motors Corporation - Detroit MI

International Classification:

G06F 1900

US Classification:

701117, 701119, 701 35, 340439

Abstract:

A method for continuously predicting the type of traffic in which a vehicle is traveling. The traffic pattern can be used in other vehicle control systems as an input to determine how to adjust system parameters, such as control loop proportional and integral gain calibrations. Vehicle speed is sampled over a variable number of sampling intervals, defining a prediction period. The prediction period varies as a function of distance traveled, and is limited for conditions where the distance interval is not reached within a particular time interval. When the prediction period is reached, average vehicle speed and speed variation over the period are determined. A lookup table incorporating average speed and speed variation is used to determine the traffic pattern. The prediction period can be shortened to quickly recognize transitions from city or highway traffic pattern.