Control system for changing automatic gears

• US 5,557,521 A
• Filed: 10/24/1994
• Issued: 09/17/1996
• Est. Priority Date: 05/11/1992
• Status: Expired due to Fees

• Current Assignee: ZF Friedrichshafen AG (Zeppelin - Stiftung der Stadt Friedrichshafen)
• Original Assignee: ZF Friedrichshafen AG (Zeppelin - Stiftung der Stadt Friedrichshafen)
• Inventors: Runge, Wolfgang, Gillich, Udo, Danz, Wolfgang, Eschrich, Gerhard
• Primary Examiner(s): Teska, Kevin J.
• Assistant Examiner(s): NGUYEN, TAN QUANG
• Application Number:
  US08/325,329
• Time in Patent Office: 694 Days
• Field of Search: 364/424.1, 364/436, 364/424.05, 364/426.01, 364/554, 395/900, 395/905, 123/399, 123/395, 477/143, 477/155, 477/43, 477/78
• US Class Current: 701/57
• CPC Class Codes: B60W 2050/0057 Frequency analysis, spectral techniques or transforms
• CPC Class Codes: B60W 2540/30 Driving style
• CPC Class Codes: B60W 40/09 Driving style or behaviour
• CPC Class Codes: F16H 2059/003 Detecting or using driving style of a driver, e.g. for adapting shift schedules
• CPC Class Codes: F16H 2059/086 Adaptive mode, e.g. learning from the driver
• CPC Class Codes: F16H 2061/0081 Fuzzy logic
• CPC Class Codes: F16H 61/0213 characterised by the method for generating shift signals
• CPC Class Codes: Y10S 706/90 Fuzzy logic
• CPC Class Codes: Y10S 706/905 Vehicle or aerospace

Abstract

The invention concerns a control system (10) for changing automatic gears (3) that operates according to fuzzy logic methods. All the fuzzy-production rules are divided into at least three sections: a set of basic rules to determine the gear-changing point in a consumption-oriented driving style, a set of adaptation rules to modify the set of basic rules depending on a current driving style and an identification set of rules for classifying the driver according to his/her driving style. By way of a supplementary set of adaptation rules the set of basic rules can be additionally modified according to a current driving condition. Individual function blocks (11 to 15) operate preferably according to the same inference mechanism. Gamma operators are used in order to approximate as closely as possible human behavior. A process is proposed for generating membership functions to determine a running condition by fuzzy-production rules. In a preferred embodiment the adaptive gear-changing behavior is activated by forming offsets. Priorities are allotted to the rules especially for reasons of safety and reliability.

Claims

1. A control system (10) for determining gear changing points for use in changing gears in an automatic transmission (3), said system including detection means (9) for detecting input variables derived from a driver-vehicle system, processing means (11-15) containing fuzzy-production rules for processing said input variables and producing output variables, and gear change means (3) for determining gear changing points for changing gear ratios according to said output variables, wherein the improvement comprises:

said processing means contains the following sets of fuzzy-production rules;

a) a set of basic rules for determining gear-changing points that define a consumption-oriented driving style, in accordance with current input variables detected by said detection means;

b) a set of identification rules for identifying a current driving style of a current driver, ranging from a consumption-oriented to a performance-oriented driving style, in accordance with current input variables detected by said detection means (9); and

c) a set of adaption rules for producing a set of modified rules, derived from the basic set of rules, for determining gear-changing points that define a driving style ranging from a consumption-oriented driving style to a performance-oriented driving style, in accordance with the identified current driving style.

2. A system according to claim 1, further comprising a filter (15) for reducing the detected input variables to average characteristics, to facilitate identification of the current driving style by the processing means.

3. A system according to claim 2, wherein said processing means further contains a set of supplemental identification rules for identifying a current driving condition, in accordance with current input variables detected by the detection means, and the filter (15) reduces the input variables to averaged characteristics to facilitate identification of the current driving condition by the processing means.

4. A system according to claim 2 wherein the filter (15) (i) reduces the input variables to averaged characteristics by evaluating a relative significance of each input variable according to fuzzy-production rules, and (ii) adds evaluation increments to each input variable in accordance with the determined significance to produce the averaged characteristics.

5. A system according to claim 4, wherein the filter (15) comprises a rule processor and an integrator.

6. A system according to claim 4, wherein, when the driver-vehicle system is one of ascending and descending an incline, the filter (15) asymmetrically weights input variables based upon a gradient of the incline differently when ascending than when descending and accordingly coordinates evaluation increments.

7. A system according to claim 3, wherein the supplemental identification rules differentiate between city, highway and expressway driving conditions and ranges where the identification of said driving conditions is uncertain.

8. A system according to claim 1, wherein the adaption rules produce the modified rules by shifting the basic rules by a linear displacement in a direction parallel to an ordinate.

9. A system according to claim 1, wherein the adaption rules produce the modified rules by shifting the basic rules by a non-linear displacement in a direction substantially parallel to an ordinate.

10. A system according to claims 1, wherein the adaption rules produce the modified rules by shifting the basic rules by a combination of a parallel and non-linear displacement substantially parallel to an ordinate.

11. A system according to claim 1, wherein said input variables detected by the detection means comprise at least one of engine speed and throttle valve position.

12. A system according to claim 1, wherein the adaption rules produce the modified rules by modulating at least one of the input variables by a non-linear addition of an offset.

13. A system according to claim 12, wherein said detection means detects at least engine speed as one of the input variables.

14. A system according to claims 13, wherein the processing means modulates the engine speed by implementing the offset as a discrete fuzzy set.

15. A system according to claim 14, wherein the discrete fuzzy set includes the following offsets:

space="preserve" listing-type="tabular">______________________________________offset;

delta n.sub.Mot (rpm)______________________________________zero 0small 600medium 1,200large 1,800.______________________________________

16. A system according to claim 1, wherein said processing means allocates different priorities to the sets of fuzzy-production rules by adding an adjustable numerical value to said fuzzy-production rules.

17. A system according to claim 1, wherein the sets fuzzy-production rules are hierarchically arranged and processed in blocks, depending on the presence or absence of an entry condition.

18. A system according to claim 17, wherein the entry conditions comprise at least one of specific gear rules and specific conditions.

19. A system according to claim 1, comprising a display means for visual display of at least one of a determined gear step determined by the basic rules and the adaption rules, an actual current gear step, the current driving style, and the current driving condition.

20. A fuzzy-logic controller for determining gear ratios for use in changing gears in an automatic transmission, said controller having input means of receiving input variables derived from a driver-vehicle system, means to form inferences from said input variables according to fuzzy-production rules, and means for defuzzying said inferences into output variables for determining a gear ratio to be automatically changed, said controller comprising:

a) a rule processor for determining gear-changing points from said input variables according to a set of fuzzy-production basic rules;

b) a rule processor for identifying a driving style, of a current driver of said driver-vehicle system, from said input variables according to a set of fuzzy-production identification rules; and

c) a rule processor for identifying a current driving condition from said input variables according to a set of fuzzy-production supplementary identification rules; and

b) a rule processor for adapting the determined gear-changing points with a set of fuzzy-production adaptation rules according to said identified driving style and said identified driving condition.