SYSTEMS AND METHODS FOR FEASIBLE STATE DETERMINATION IN DRIVER COMMAND INTERPRETER

• US 20170267280A1
• Filed: 03/15/2016
• Published: 09/21/2017
• Est. Priority Date: 03/15/2016
• Status: Abandoned Application

• Current Assignee: GM Global Technology Operations LLC (General Motors Company)
• Original Assignee: GM Global Technology Operations LLC (General Motors Company)
• Inventors: MAHABADI, SEYED ALIREZA KASAIEZADEH, CHEN, SHIH-KEN, KHAJEPOUR, AMIR, LITKOUHI, BAKHTIAR B.
• Application Number:
  US15/070,948
• Publication Number:
  US 20170267280A1
• Time in Patent Office: Days
• CPC Class Codes: B60T 2230/02 Side slip angle, attitude angle, floating angle, drift angle
• CPC Class Codes: B60T 2260/06 Active Suspension System
• CPC Class Codes: B60T 2270/86 Optimizing braking by using ESP vehicle or tire model
• CPC Class Codes: B60T 8/17551 determining control parameters related to vehicle stability used in the regulation, e.g. by calculations involving measured or detected parameters
• CPC Class Codes: B60W 2520/28 Wheel speed
• CPC Class Codes: B60W 2540/10 Accelerator pedal position
• CPC Class Codes: B60W 2540/12 Brake pedal position
• CPC Class Codes: B60W 2540/18 Steering angle
• CPC Class Codes: B60W 40/00 Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
• CPC Class Codes: B62D 6/003 in order to control vehicle yaw movement, i.e. around a vertical axis B62D6/007 takes precedence
• CPC Class Codes: G05D 1/0891 specially adapted for land vehicles

Abstract

Methods and systems are provided for controlling a component of a vehicle. In one embodiment, a method includes: receiving sensor data sensed from the vehicle; processing the sensor data to determine an ideal state of the vehicle; processing the sensor data and the ideal state of the vehicle to determine a feasible state of the vehicle; and selectively controlling at least one component associated with at least one of an active safety system and a chassis system of the vehicle based on the at least one feasible state.

Claims

1. A method for controlling a component of a vehicle, comprising:

receiving sensor data sensed from the vehicle;

processing the sensor data to determine an ideal state of the vehicle;

processing the sensor data and the ideal state of the vehicle to determine a feasible state of the vehicle; and

selectively controlling at least one component associated with at least one of an active safety system and a chassis system of the vehicle based on the at least one feasible state.

2. The method of claim 1, further comprising determining an intermediate controller based on the sensor data, and wherein the processing the sensor data to determine a feasible state of the vehicle is based on the intermediate controller.

3. The method of claim 1, wherein the intermediate controller is a model predictive control.

4. The method of claim 2, further comprising translating an output of the intermediate controller to determine the at least one feasible state.

5. The method of claim 1, wherein the sensor data includes steering angle data, wheel speed data, inertial measurement unit sensor data, gas pedal position data, and brake pedal position data.

6. The method of claim 1, wherein the feasible state is associated with yaw rate of the vehicle.

7. The method of claim 1, wherein the feasible state is associated with side slip angle of the vehicle.

8. The method of claim 1, wherein the feasible state is a most achievable state given a certain road condition while the steer-ability and stability of vehicle can be maintained.

9. A system for controlling a component of a vehicle, comprising:

a non-transitory computer readable medium comprising;

a first module that receives sensor data sensed from the vehicle, and that processes the sensor data to determine an ideal state of the vehicle;

a second module that processes the sensor data and the ideal state of the vehicle to determine a feasible state of the vehicle; and

a third module that selectively controls at least one component associated with at least one of an active safety system and a chassis system of the vehicle based on the at least one feasible state.

10. The system of claim 9, further comprising a fourth module that determines an intermediate controller based on the sensor data, and wherein the third module processes the sensor data to determine a feasible state of the vehicle based on the intermediate controller.

11. The method of claim 9, wherein the intermediate controller is a model predictive control.

12. The system of claim 11, wherein the second module translates an output of the intermediate controller to determine the at least one feasible state.

13. The system of claim 9, wherein the sensor data includes steering angle data, wheel speed data, inertial measurement unit sensor data, gas pedal position data, and brake pedal position data.

14. The system of claim 9, wherein the feasible state is associated with yaw rate of the vehicle.

15. The system of claim 9, wherein the feasible state is associated with side slip angle of the vehicle.

16. The system of claim 9, wherein the feasible state is a most achievable state given a certain road condition while the steer-ability and stability of vehicle can be maintained.

17. A vehicle, comprising:

at least one component associated with at least one of an active safety system and a chassis system; and

a control module comprising;

a first module that receives sensor data sensed from the vehicle, and that processes the sensor data to determine an ideal state of the vehicle;

a second module that processes the sensor data and the ideal state of the vehicle to determine a feasible state of the vehicle; and

a third module that selectively controls at least one component associated with at least one of an active safety system and a chassis system of the vehicle based on the at least one feasible state.