System and method for estimating the mass of a vehicle

• US 8,798,887 B2
• Filed: 11/30/2011
• Issued: 08/05/2014
• Est. Priority Date: 11/30/2011
• Status: Active Grant

• Current Assignee: GM Global Technology Operations LLC (General Motors Company)
• Original Assignee: GM Global Technology Operations LLC (General Motors Company)
• Inventors: Nickolaou, James N., Leshinsky, Leonard J. Jr.
• Primary Examiner(s): Cheung, Calvin
• Assistant Examiner(s): HEINLE, COURTNEY D
• Application Number:
  US13/307,460
• Publication Number:
  US 20130138288A1
• Time in Patent Office: 979 Days
• Field of Search: 701/23, 701/70, 701/33.4, 701/110, 701/124, 702/173, 702/175, 738/65
• US Class Current: 701/70
• CPC Class Codes: B60W 2510/0657 Engine torque
• CPC Class Codes: B60W 2520/105 Longitudinal acceleration
• CPC Class Codes: B60W 2552/15 Road slope, i.e. the inclination of a road segment in the longitudinal direction
• CPC Class Codes: B60W 40/13 Load or weight

Abstract

A vehicle system and method that estimates or approximates the mass of a vehicle so that a more accurate vehicle mass estimate can be made available to other vehicle systems, such as an adaptive cruise control (ACC) system or an automated lane change (LCX) system. In an exemplary embodiment, the method compares an actual acceleration of the vehicle to an expected acceleration while the vehicle is under the control of an automated acceleration event. The difference between these two acceleration values, along with other potential input, may then be used to approximate the actual mass of the vehicle in a way that takes into account items such as passengers, cargo, fuel, etc. Once an accurate vehicle mass estimate is generated, the method may make this estimate available to other vehicle components, devices, modules, systems, etc. so that their performance can be improved.

Claims

1. A method for estimating a vehicle mass, comprising the steps of:

(a) when a vehicle is under the control of an autonomous acceleration event during which vehicle acceleration is expected to be controlled and consistent, determining an expected acceleration of the vehicle for the autonomous acceleration event wherein the expected acceleration corresponds to vehicle propulsion in a longitudinal direction;

(b) determining an actual acceleration of the vehicle during the autonomous acceleration event wherein the actual acceleration corresponds to vehicle propulsion in the longitudinal direction;

(c) comparing the expected acceleration of the vehicle in the longitudinal direction for the autonomous acceleration event to the actual acceleration of the vehicle in the longitudinal direction during the autonomous acceleration event with a control module, and

(d) using the comparison of the expected acceleration of the vehicle in the longitudinal direction for the autonomous acceleration event to the actual acceleration of the vehicle in the longitudinal direction during the autonomous acceleration event to determine a vehicle mass estimate with the control module.

2. The method of claim 1, wherein step (a) further comprises using engine commands from a module to determine the expected acceleration of the vehicle which is representative of the acceleration that is expected or anticipated of the vehicle during the autonomous acceleration event.

3. The method of claim 2, wherein step (a) further comprises determining that the vehicle is under the control of an adaptive cruise control (ACC) system during a take-off event and then using engine commands issued by the ACC during the take-off event to determine the expected acceleration of the vehicle.

4. The method of claim 1, wherein step (b) further comprises using speed readings from speed sensors to determine the actual acceleration of the vehicle which is representative of the acceleration that is actually or truly experienced by the vehicle.

5. The method of claim 1, wherein step (c) further comprises taking one or more acceleration-influencing factor(s), other than vehicle mass, into account when comparing the expected acceleration to the actual acceleration.

6. The method of claim 5, wherein step (c) further comprises receiving a trailer reading from a trailer sensor in order to determine that the vehicle is pulling a trailer and taking this factor into account when comparing the expected acceleration to the actual acceleration.

7. The method of claim 5, wherein step (c) further comprises receiving an environmental reading from an environmental sensor in order to determine that the vehicle is experiencing certain environmental and/or road conditions and taking this factor into account when comparing the expected acceleration to the actual acceleration.

8. The method of claim 5, wherein step (c) further comprises receiving an incline reading from an incline sensor in order to determine that the vehicle is experiencing an inclined or declined road segment and taking this factor into account when comparing the expected acceleration to the actual acceleration.

9. The method of claim 1, wherein step (c) further comprises subtracting the actual acceleration from the expected acceleration, or vice-versa, in order to determine an acceleration difference (Δ

_acceleration).

10. The method of claim 9, wherein step (c) further comprises comparing the acceleration difference (Δ

_acceleration) to a threshold, and keeping the vehicle mass estimate unchanged when the acceleration difference (Δ

_acceleration)is less than the threshold.

11. The method of claim 1, wherein step (d) further comprises determining if the vehicle is under accelerating or over accelerating, and increasing the vehicle mass estimate if the vehicle is under accelerating and decreasing the vehicle mass estimate if the vehicle is over accelerating.

12. The method of claim 11, wherein step (d) further comprises increasing the vehicle mass estimate by incrementing a previous vehicle mass estimate if the vehicle is under accelerating and decreasing the vehicle mass estimate by decrementing a previous vehicle mass estimate if the vehicle is over accelerating.

13. The method of claim 12, wherein step (d) further comprises incrementing a previous vehicle mass estimate by an increment value if the vehicle is under accelerating and decrementing a previous vehicle mass estimate by a decrement value if the vehicle is over accelerating, and the increment and decrement values are limited by a threshold that is affected by a driving mode of the vehicle.

14. The method of claim 11, wherein step (d) further comprises increasing the vehicle mass estimate by calculating a new vehicle mass estimate that is greater than a previous vehicle mass estimate if the vehicle is under accelerating, and decreasing the vehicle mass estimate by calculating a new vehicle mass estimate that is less than a previous vehicle mass estimate if the vehicle is over accelerating.

15. The method of claim 1, further comprising the step receiving sensor readings from one or more vehicle sensors and using the sensor readings to evaluate the weight distribution within the vehicle.

16. The method of claim 1, further comprising the step providing the vehicle mass estimate to a vehicle module that uses the vehicle mass estimate to generate one or more command signals.

17. The method of claim 16, wherein the vehicle module is part of a vehicle safety system, an active suspension system, an active braking system, an adaptive cruise control (ACC) system, or a lane change system (LCX).

18. A method for estimating a vehicle mass, comprising the steps of:

(a) determining that the vehicle is under the control of an autonomous acceleration event during which vehicle acceleration is expected to be controlled and consistent,

(b) evaluating the acceleration of the vehicle corresponding to vehicle propulsion in a longitudinal direction with a control module while the vehicle is under the control of the autonomous acceleration event, wherein the acceleration of the vehicle in the longitudinal direction is evaluated in a closed-loop manner using an expected acceleration of the vehicle in the longitudinal direction corresponding to the autonomous acceleration event,

(c) using the results of the closed-loop evaluation to generate a vehicle mass estimate with the control module, and

(d) providing the vehicle mass estimate to a vehicle module so that the vehicle module can generate one or more command signals.