Road surface condition-detecting system and anti-lock brake system employing same

• US 5,586,028 A
• Filed: 12/06/1994
• Issued: 12/17/1996
• Est. Priority Date: 12/07/1993
• Status: Expired due to Fees

• Current Assignee: Honda Giken Kogyo Kabushiki Kaisha (Honda Motor Company)
• Original Assignee: Honda Giken Kogyo Kabushiki Kaisha (Honda Motor Company)
• Inventors: Itakagi, Atsushi, Horiuchi, Yutaka, Kubonoya, Hideki, Sekine, Hiroshi, Matsuda, Shohei, Yokoyama, Shintaro, Asanuma, Nobuyoshi, Otabe, Makoto, Harada, Ichiro, Yamamoto, Yorihisa
• Primary Examiner(s): ZANELLI, MICHAEL J
• Application Number:
  US08/353,979
• Time in Patent Office: 742 Days
• Field of Search: 364/424.01, 364/424.05, 364/426.01, 364/426.02, 364/426.03, 395/905, 395/913, 395/21, 395/23, 303/155, 303/149, 303/163, 303/176
• US Class Current: 701/1
• CPC Class Codes: B60T 2210/122 using fuzzy logic, neural computing
• 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: B60T 8/174 characterised by using special control logic, e.g. fuzzy logic , neural computing
• CPC Class Codes: B60T 8/17636 Microprocessor-based systems

Abstract

A road surface condition-detecting system for a vehicle detects a road surface condition from road noise generated by a vehicle wheel. The road surface condition is determined based on parameter data of frequency components of the road noise, by a neural network. The road noise may be corrected by eliminating therefrom a disturbance, such as audio output and exhaust noise. A present state of the road surface condition may be determined based on at least two consecutive determinations made based on the road noise detected at regular time intervals. Exclusive neural networks may be used for respective road surface condition types. One of a plurality of neural networks provided for respective vehicle speed ranges may be selected according to an actual vehicle speed. Detected sound pressure levels of the road noise extracted by frequency analysis may be normalized within respective ranges defined by upper and lower limits set corresponding to predetermined frequency ranges before being supplied to the neural network.

Claims

1. A road surface condition-detecting system for a vehicle having wheels, which detects a condition of a road surface on which said vehicle is traveling, comprising:

road noise-detecting means arranged in the vicinity of at least one of said wheels of said vehicle for detecting road noise generated from said at least one of said wheels;

means for extracting data of a parameter of a plurality of frequency components of said road noise, from said road noise detected by said road noise-detecting means; and

determining means for determining said condition of said road surface on which said vehicle is traveling, based on said data of said parameter of said plurality of frequency components of said road noise, by means of a neural network.

12. An anti-lock brake system having one of said road surface condition-detecting systems as claimed in any of claims 1 to 6 and 8-11, said wheels including driving wheels, the anti-lock brake system performing braking control, based on a speed of said vehicle, comprising:

wheel speed-detecting means for detecting a speed of at least one of said driving wheels of said vehicle;

wheel acceleration-calculating means for calculating a wheel acceleration, based on said speed of said at least one of said driving wheels detected by said wheel speed-detecting means;

changing means for changing a value of a virtual acceleration/deceleration to be compared with said wheel acceleration calculated by said wheel acceleration-calculating means, depending on said condition of said road surface detected by said road surface condition-detecting system; and

vehicle speed-estimating means for calculating an estimated speed of said vehicle, based on said virtual deceleration/acceleration when said wheel acceleration calculated by said wheel acceleration-calculating means exceeds said virtual deceleration/acceleration, and for setting said wheel speed to said estimated speed of said vehicle when said wheel acceleration calculated by said wheel acceleration-calculating means is below said virtual deceleration/acceleration.

13. An anti-lock brake system according to claim 12, wherein said virtual deceleration/acceleration is a ratio of change of said wheel speed relative to said estimated speed of said vehicle.

14. A reaction force-generating system for a vehicle having a brake pedal, which performs braking control via said brake pedal, and includes said road surface condition-detecting system as claimed in any of claims 1 to 6 and 8-11, said wheels including driving wheels, said reaction force-generating system comprising:

means for detecting a stepped-on amount of said brake pedal;

reaction force-generating means for generating a reaction force via said brake pedal;

wheel speed-detecting means for detecting a speed of at least one of said driving wheels;

wheel acceleration-calculating means for calculating a wheel acceleration, based on said speed of said at least one of said driving wheels detected by said wheel speed-detecting means;

changing means for changing a value of a virtual deceleration/acceleration to be compared with said wheel acceleration calculated by said wheel acceleration-calculating means, depending on said road surface condition detected by said road surface condition-detecting system;

vehicle speed-estimating means for calculating an estimated speed of said vehicle, based on said virtual deceleration/acceleration when said wheel acceleration calculated by said wheel acceleration-calculating means exceeds said virtual deceleration/acceleration, and for setting said wheel speed to said estimated speed of said vehicle when said wheel acceleration calculated by said wheel acceleration-calculating means is below said virtual deceleration/acceleration;

slip ratio-calculating means for calculating a slip ratio, based on said estimated speed of said vehicle estimated by said vehicle speed-estimating means and said wheel speed detected by said wheel speed-detecting means;

means for obtaining a desired reaction force, based on said slip ratio calculated by said slip ratio-calculating means and said condition of said road surface detected by said road surface condition-detecting system; and

means for causing said reaction force-generating means to generate said reaction force according to said desired reaction force and said stepped-on amount of said brake pedal.

2. A road surface condition-detecting system for a vehicle having wheels, which detects a condition of a road surface on which said vehicle is traveling, comprising:

road noise-detecting means arranged in the vicinity of at least one of said wheels of said vehicle for detecting road noise generated from said at least one of said wheels;

determining means for determining said condition of said road surface, based on said road noise detected by said road noise-detecting means;

disturbance-detecting means for detecting a disturbance to said road noise; and

correcting means for correcting said road noise detected by said road noise-detecting means by said disturbance detected by said disturbance-detecting means.

3. A road surface condition-detecting system for a vehicle having wheels and an audio equipment, which detects a condition of a road surface on which said vehicle is traveling, comprising:

road noise-detecting means arranged in the vicinity of at least one of said wheels of said vehicle for detecting road noise generated from said at least one of said wheels;

determining means for determining said condition of said road surface, based on said road noise detected by said road noise-detecting means;

audio output-detecting means for detecting an output signal from said audio equipment; and

correcting means for correcting said road noise detected by said road noise-detecting means by said output signal detected by said audio output-detecting means.

4. A road surface condition-detecting system for a vehicle having wheels and an engine, which detects a condition of a road surface on which said vehicle is traveling, comprising:

road noise-detecting means arranged in the vicinity of at least one of said wheels of said vehicle for detecting road noise generated from said at least one of said wheels;

determining means for determining said condition of said road surface, based on said road noise detected by said road noise-detecting means;

estimating means for detecting operating conditions of said engine, and for estimating exhaust noise, based on results of said detection of said operating conditions of said engine; and

correcting means for correcting said road noise detected by said road noise-detecting means by said exhaust noise estimated by said estimating means.

5. A road surface condition-detecting system for a vehicle having wheels, which detects a condition of a road surface on which said vehicle is traveling, comprising:

road noise-detecting means arranged in the vicinity of at least one of said wheels of said vehicle for detecting road noise generated from said at least one of said wheels;

first determining means for determining said condition of said road surface, based on said road noise detected by said road noise-detecting means at regular time intervals; and

second determining means for determining a present state of said condition of said road surface, based on at least two consecutive outputs from said first determining means.

6. A road surface condition-detecting system according to claim 5, wherein said second determining means determines said present state of said condition of said road surface from a moving average of said at least two consecutive outputs from said first determining means.

7. A road surface condition-detecting system according to claim 5 or 6, wherein said second determining means imparts weights to said at least two consecutive outputs from said first determining means, and determines said present state of said condition of said road surface, based on results of said weighting of said at least two consecutive outputs from said first determining means.

8. A road surface condition-detecting system for a vehicle having wheels, which detects a condition of a road surface on which said vehicle is traveling, comprising:

road noise-detecting means arranged in the vicinity of at least one of said wheels of said vehicle for detecting road noise generated from said at least one of said wheels;

means for classifying said condition of said road surface on which said vehicle is to travel into a plurality of types, and for providing a plurality of exclusive neural networks for respective ones of said plurality of types of said condition of said road surface; and

determining means for determining said condition of said road surface, based on said road noise detected by said road noise-detecting means, by the use of said plurality of exclusive neural networks.

9. A road surface condition-detecting system for a vehicle having wheels, which detects a condition of a road surface on which said vehicle is traveling, comprising:

road noise-detecting means arranged in the vicinity of at least one of said wheels of said vehicle for detecting road noise generated from said at least one of said wheels;

vehicle speed-detecting means for detecting a speed of said vehicle;

means for classifying said speed of said vehicle into a plurality of ranges, and for providing a plurality of exclusive neural networks for respective ones of said plurality of ranges of said speed of said vehicle; and

determining means for selecting one of said plurality of exclusive neural networks according to said speed of said vehicle detected by said vehicle speed-detecting means, and for determining said condition of said road surface, based on said road noise detected by said road noise-detecting means, by the use of said selected one of said plurality of exclusive neural networks.

10. A road surface condition-detecting system for a vehicle having wheels, which detects a condition of a road surface on which said vehicle is traveling, comprising:

setting means for setting in advance upper limit values and lower limit values of a range of a sound pressure level of said road noise to be generated from at least one of said wheels, respectively, for predetermined frequency components;

road noise-detecting means arranged in the vicinity of said at least one of said wheels of said vehicle for detecting road noise generated from said at least one of said wheels;

frequency analysis means for extracting sound pressure levels of predetermined frequency components of said road noise, from said road noise detected by said road noise-detecting means;

selecting/normalizing means for selecting upper limit values and lower limit values corresponding to respective ones of said predetermined frequency components of said sound pressure levels extracted by said frequency analysis means, from said upper limit values and said lower limit values set, respectively, for said predetermined frequency components by said setting means, and for normalizing said sound pressure levels extracted by said frequency analysis means within respective sound pressure level ranges defined by said selected upper limit values and said lower limit values; and

determining means for inputting the normalized sound pressure levels to a neural network, and for determining said condition of said road surface, based on an output from said neural network.

11. A road surface condition-detecting system for a vehicle having wheels, which detects a condition of a road surface on which said vehicle is traveling, comprising:

setting means for setting in advance upper limit values and lower limit values of a range of a sound pressure level of said road noise to be generated from at least one of said wheels, respectively, for predetermined vehicle speeds;

road noise-detecting means arranged in the vicinity of said at least one of said wheels of said vehicle for detecting road noise generated from said at least one of said wheels;

vehicle speed-detecting means for detecting a speed of said vehicle;

frequency analysis means for extracting sound pressure levels of predetermined frequency components of said road noise, from said road noise detected by said road noise-detecting means;

selecting/normalizing means for selecting an upper limit value and a lower limit value of said range of said sound pressure level corresponding to said vehicle speed detected by said vehicle speed-detecting means, from said upper limit values and said lower limit values set, respectively, for said predetermined speeds of said vehicle by said setting means, and for normalizing said sound pressure levels extracted by said frequency analysis means within respective sound pressure level ranges defined by said selected upper limit values and said lower limit values; and

determining means for inputting the normalized sound pressure levels to a neural network, and for determining said condition of said road surface, based on an output from said neural network.