Vehicle running condition judgement device

• US 6,308,115 B1
• Filed: 07/28/1999
• Issued: 10/23/2001
• Est. Priority Date: 07/29/1998
• Status: Expired due to Fees

• Current Assignee: Aisin Seiki Kabushiki Kaisha (Aisin Corp.), Kabushiki Kaisha Toyota Chuo Kenkyusho (Toyota Motor Corporation)
• Original Assignee: Aisin Seiki Kabushiki Kaisha (Aisin Corp.), Kabushiki Kaisha Toyota Chuo Kenkyusho (Toyota Motor Corporation)
• Inventors: Asano, Katsuhiro, Nishio, Akitaka, Itoh, Takayuki, Tozu, Kenji, Yamaguchi, Hiroyuki
• Primary Examiner(s): LOUIS JACQUES, JACQUES H
• Application Number:
  US09/361,996
• Time in Patent Office: 818 Days
• Field of Search: 701/1, 701/36, 701/70, 701/69, 701/71, 701/72, 701/38, 701/41, 701/84, 701/90, 701/74, 701/80, 701/37, 701/75, 180/197, 180/414, 180/248, 180/412, 180/415, 303/148, 731/181
• US Class Current: 701/1
• CPC Class Codes: B60T 2270/86 Optimizing braking by using ESP vehicle or tire model
• CPC Class Codes: B60T 8/172 Determining control parameters used in the regulation, e.g. by calculations involving measured or detected parameters B60T8/17551 takes precedence
• CPC Class Codes: B60W 2555/20 Ambient conditions, e.g. wind or rain
• CPC Class Codes: B60W 40/064 Degree of grip
• CPC Class Codes: B60W 40/101 Side slip angle of tyre
• CPC Class Codes: B60W 40/103 Side slip angle of vehicle body
• CPC Class Codes: B62D 6/04 responsive only to forces disturbing the intended course of the vehicle, e.g. forces acting transversely to the direction of vehicle travel
• CPC Class Codes: B62D 7/159 characterised by computing methods or stabilisation processes or systems, e.g. responding to yaw rate, lateral wind, load, road condition

Abstract

A vehicle running condition judgment device for accurately detecting a change in a road surface condition and a vehicle'"'"'s limit running condition. With substitution of respective tire characteristics and a detected state quantity into a vehicle motion model, vehicle slip angles are estimated for respective assumed road surface conditions. Based on the current state quantity and the last estimated vehicle slip angle, currently estimated vehicle slip angles for the respective assumed road surface conditions are compensated. A differential operation section calculates an estimation value of a vehicle slip angular velocity for each of the assumed road surface conditions based on the compensated vehicle slip angles for the respective assumed road surface conditions. Meanwhile, an operation section calculates a detection value of a vehicle slip angular velocity based on the detected state quantity. By comparing the detection value and the respective estimation values for the assumed road surface conditions, the current road surface condition is determined. Further, a lateral acceleration is calculated based on a vehicle slip angle, and compared with the detection value for determination of the road surface condition, and also with a predetermined limit value for determination of a vehicle'"'"'s limit running condition.

Claims

1. A vehicle running condition judgment device, comprising:

detection means for detecting a state quantity concerning motion of a vehicle;

memory means for storing non-linear tire characteristics for each of a plurality of assumed road surfaces;

slip angle estimation means for estimating in parallel a vehicle slip angle for each of the plurality of assumed road surfaces based on the state quantity and the non-linear tire characteristics;

feedback compensation means for compensating the vehicle slip angle for each of the plurality of assumed road surfaces by compensating a currently estimated vehicle slip angle for each of the plurality of assumed road surfaces based on a current state quantity and a last vehicle slip angle having been estimated for respective assumed road surfaces; and

judgment means for judging current road surface condition based on the vehicle slip angle compensated by said feedback compensation means.

2. A vehicle running condition judgment device according to claim 1, wherein the non-linear tire characteristics show non-saturated characteristics.

3. A vehicle running condition judgment device according to claim 2, wherein said judgment means comprises

estimation angular velocity calculation means for calculating a vehicle slip angular velocity for each of the plurality of assumed road surfaces as an estimation angular velocity based on the vehicle slip angle compensated by said feed-back compensation means for each of the plurality of assumed road surfaces,

detection angular velocity calculation means for calculating a vehicle slip angular velocity as a detection angular velocity based on the state quantity, and

road surface condition judgment means for judging a current road surface condition through comparison between the detection angular velocity and the estimation angular velocity.

4. A vehicle running condition judgment device according to claim 3, wherein said road surface condition judgment means determines at least a high μ

road and a low μ

road.

5. A vehicle running condition judgment device according to claim 2, wherein said judgment means comprises

estimation lateral acceleration calculation means for calculating a lateral acceleration for each of the plurality of assumed road surfaces as an estimation lateral acceleration based on the non-linear tire characteristics and the vehicle slip angle compensated by said feed-back compensation means for each of the plurality of assumed road surfaces;

lateral acceleration difference storing means for storing a time sequence value of the differences between the detected lateral acceleration and the estimated estimation lateral acceleration; and

road surface condition judgment means for judging a current road surface condition by selecting a minimum value from the accumulated values of the stored time sequence value of differences for each road surface.

6. A vehicle running condition detection device according to claim 5, wherein said road surface judgment means determines at least any of a dry road, a snow covered road, and an icy road.

7. A vehicle running condition judgment device, comprising:

detection means for detecting a state quantity concerning motion of a vehicle;

memory means for storing non-linear tire characteristics for each of a plurality of assumed road surfaces, wherein the non-linear tire characteristics show non-saturated characteristics;

slip angle estimation means for estimating a vehicle slip angle for each of the plurality of assumed road surfaces based on the state quantity and the non-linear tire characteristics;

feedback compensation means for compensating the vehicle slip angle for each of the plurality of assumed road surfaces by compensating a currently estimated vehicle slip angle for each of the plurality of assumed road surfaces based on a current state quantity and a last vehicle slip angle having been estimated for respective assumed road surfaces;

judgment means for judging current road surface condition based on the vehicle slip angle compensated by said feedback compensation means; and

limit condition judgment means for judging whether or not the vehicle is under a limit condition through comparison between a predetermined limit value and an estimation lateral acceleration corresponding to the current road surface condition judged by said road surface condition judgment means, the estimation lateral acceleration being selected from estimation lateral accelerations calculated by said estimation lateral acceleration calculation means for respective assumed road surfaces, wherein said judgment means comprises

estimation lateral acceleration calculation means for calculating a lateral acceleration for each of the plurality of assumed road surfaces as an estimation lateral acceleration based on the non-linear tire characteristics and the vehicle slip angle compensated by said feed-back compensation means for each of the plurality of assumed road surfaces, and

road surface condition judgment means for judging a current road surface condition through comparison between a detected lateral acceleration and the estimation lateral acceleration.

8. A vehicle running condition detection device, comprising:

detection means for detecting a state quantity concerning motion of a vehicle;

memory means for storing non-linear tire characteristics for each of a plurality of assumed road surfaces;

slip angle estimation means for estimating a vehicle slip angle for each of the plurality of assumed road surfaces based on the state quantity and the non-linear tire characteristics;

feedback compensation means for compensating the vehicle slip angle for each of the plurality of assumed road surfaces by compensating a currently estimated vehicle slip angle for each of the plurality of assumed road surfaces based on a current state quantity and a last vehicle slip angle having been estimated for the respective assumed road surfaces,

lateral acceleration estimation means for estimating a lateral acceleration for each of the plurality of assumed road surfaces based on the non-linear tire characteristics and the vehicle slip angle compensated by said feedback compensation means; and

limit condition judgment means for judging whether or not the vehicle is under a limit condition through comparison between a predetermined limit value and a lateral acceleration corresponding to an actual road surface condition, the lateral acceleration being selected from lateral accelerations estimated by said lateral acceleration estimation means for respective assumed road surfaces.

9. A vehicle running condition detection device according to claim 8, wherein the non-linear tire characteristics are non-saturated characteristics.

10. A vehicle running condition detection device according to claim 9, wherein the actual road surface condition is determined based on lateral accelerations estimated by said lateral acceleration estimation means for the respective assumed road surfaces.

11. A vehicle running condition detection device according to claim 9, wherein the actual road surface condition is one of the plurality of assumed road surfaces, for which the lateral acceleration estimated by said lateral acceleration estimation means differs least from a lateral acceleration detected, among the lateral accelerations estimated by said lateral acceleration estimation means for the respective assumed road surfaces.

12. A vehicle running condition detection device according to claim 9, wherein the plurality of assumed road surfaces include at least any of a dry road, a snow covered road, and an icy road.

13. A vehicle running condition detection device, comprising:

detection means for detecting a state quantity concerning motion of a vehicle;

memory means for storing non-linear tire characteristics for each of a plurality of assumed road surfaces;

calculation means for estimating a quantity concerning a vehicle running condition for each of the plurality of assumed road surfaces based on the state quantity and the non-linear tire characteristics; and

limit condition judgment means for judging whether or not the vehicle is under a limit condition through comparison between a predetermined limit value and the quantity estimated by said calculation means corresponding to an actual road surface condition, the quantity being selected from quantities estimated by said calculation means for the respective assumed road surfaces.

14. A vehicle running condition detection device according to claim 13, wherein the non-linear tire characteristics show non-saturated characteristics.

15. A vehicle running condition detection device according to claim 14, wherein the quantity concerning the vehicle running condition is a vehicle lateral acceleration.

16. A vehicle running condition detection device according to claim 14, wherein the actual road surface condition is determined through comparison between quantities concerning a vehicle running condition estimated by said calculation means for the respective assumed road surfaces and detected quantity concerning a vehicle running condition.

17. A vehicle running condition detection device according to claim 14, wherein the plurality of assumed road surfaces include at least any of a dry road, a snow covered road, and an icy road.