METHOD OF DETERMINING SHORT TERM DRIVING TENDENCY AND SYSTEM OF CONTROLLING SHIFT USING THE SAME

• US 20150088802A1
• Filed: 12/30/2013
• Published: 03/26/2015
• Est. Priority Date: 09/26/2013
• Status: Active Grant

• Current Assignee: Hyundai Motor Company (Hyundai Motor Group)
• Original Assignee: Hyundai Motor Company (Hyundai Motor Group)
• Inventors: JEON, Byeong Wook, CHANG, Joseph D., JEONG, Dong Hoon
• Granted Patent: US 9,324,029 B2
• Time in Patent Office: Days
• US Class Current: 706/52
• CPC Class Codes: B60W 10/04 including control of propulsion units
• CPC Class Codes: B60W 10/10 including control of change-speed gearings
• CPC Class Codes: B60W 2050/0014 Adaptive controllers
• CPC Class Codes: B60W 2520/10 Longitudinal speed
• CPC Class Codes: B60W 2540/10 Accelerator pedal position
• CPC Class Codes: B60W 2552/00 Input parameters relating to infrastructure
• CPC Class Codes: B60W 2554/80 Spatial relation or speed relative to objects
• CPC Class Codes: B60W 2556/50 of positioning data, e.g. GPS [Global Positioning System] data
• CPC Class Codes: B60W 30/18 Propelling the vehicle
• CPC Class Codes: B60W 40/09 Driving style or behaviour
• CPC Class Codes: G06N 5/048 Fuzzy inferencing

Abstract

A method of determining a short term driving tendency and a system of controlling shift using the same that reflects precisely a will of a driver on the shift by determining a short term driving tendency is disclosed. The method may include detecting input variables, determining whether determination condition of the short term driving tendency is satisfied, calculating tendencies and output membership function values according to a plurality of fuzzy rules based on the input variables if the determination condition of the short term driving tendency is satisfied, and determining a short term driving tendency index based on the tendencies and the output membership function values according to the plurality of fuzzy rules.

Claims

1. A method of determining a short term driving tendency comprising:

detecting input variables;

determining whether determination condition of the short term driving tendency is satisfied;

calculating tendencies and output membership function values according to a plurality of fuzzy rules based on the input variables if the determination condition of the short term driving tendency is satisfied; and

determining a short term driving tendency index based on the tendencies and the output membership function values according to the plurality of fuzzy rules.

2. The method of claim 1, wherein the determination condition of the short term driving tendency is satisfied if a distance to a preceding vehicle is greater than or equal to a predetermined distance, a curvature radius of an ahead road is greater than or equal to a predetermined curvature radius, a gradient of a road is smaller than or equal to a predetermined gradient, or a road state is not a slippery road, an icy road, a rough road, or an unpaved road.

3. The method of claim 1, wherein the input variables include an accelerator pedal position, a change rate of the accelerator pedal position, a vehicle speed and a gradient of a road.

4. The method of claim 1, wherein the calculating the tendencies and the output membership function values according to the plurality of fuzzy rules based on the input variables includes calculating a tendency and an output membership function value according to each fuzzy rule in the plurality of fuzzy rules, and wherein the calculating the tendency and the output membership function value according to each fuzzy rule comprises:

determining whether the input variables satisfy the respective fuzzy rule;

selecting a tendency and an output membership function according to the respective fuzzy rule if the respective fuzzy rule is satisfied;

calculating input membership function values according to the input variables included in the respective fuzzy rule;

calculating a minimum value of the input membership function values; and

setting the minimum value as the output membership function value according to the respective fuzzy rule.

5. The method of claim 4, wherein the calculating the tendency and the output membership function value according to each fuzzy rule further comprising:

setting a predetermined tendency and a predetermined value as the tendency and the output membership function value according to the respective fuzzy rule if the input variables do not satisfy the respective fuzzy rule.

6. The method of claim 1, wherein the determining the short term driving tendency index comprises:

overlapping the plurality of output membership functions on one short term tendency index graph;

calculating a center of an area occupied by the plurality of output membership function values on the short term tendency index graph; and

setting the center as the short term driving tendency index.

7. The method of claim 3, wherein four fuzzy rules, three tendencies including mild, normal and sporty and output membership functions according to each tendency are preset.

8. The method of claim 7, wherein a first fuzzy rule is that if the vehicle speed is low, the accelerator pedal position is middle and the change rate of the accelerator pedal position is middle, the tendency is normal.

9. The method of claim 7, wherein a second fuzzy rule is that if the vehicle speed is low, the accelerator pedal position is middle and the change rate of the accelerator pedal position is high, the tendency is sporty.

10. The method of claim 7, wherein a third fuzzy rule is that if the vehicle speed is high, the accelerator pedal position is high and the change rate of the accelerator pedal position is high, the tendency is sporty.

11. The method of claim 7, wherein a fourth fuzzy rule is that if the accelerator pedal position is middle and the gradient of the road is high, the tendency is normal.

12. A system of controlling shift comprising:

an accelerator pedal position sensor detecting an accelerator pedal position;

a vehicle speed sensor detecting a vehicle speed;

a navigation device configured to provide road information including a gradient of a road;

a controller receiving information on input variables including the accelerator pedal position, the vehicle speed and the gradient of the road from the accelerator pedal position sensor, the vehicle speed sensor and the navigation device, determining a short term driving tendency of a driver based on the information, and controlling an engine or a transmission according to the short term driving tendency,

wherein the controller calculates tendencies and output membership function values according to a plurality of fuzzy rules based on the input variables and determines the short term driving tendency based on the tendencies and the output membership function values according to the plurality of fuzzy rules.

13. The system of claim 12, wherein the controller determines the short term driving tendency when a distance to a preceding vehicle is greater than or equal to a predetermined distance, a curvature radius of an ahead road is greater than or equal to a predetermined curvature radius, the gradient of the road is smaller than or equal to a predetermined gradient, or a road state is not a slippery road, an icy road, a rough road or an unpaved road.

14. The system of claim 12, wherein the controller calculates the tendencies and the output membership function values according to the plurality of fuzzy rules based on the input variables by calculating the tendency and the output membership function value according to each fuzzy rule.

15. The system of claim 14, wherein the controller calculates the tendency and the output membership function value according to each fuzzy rule by selecting the tendency and the output membership function according to the respective fuzzy rule, calculating input membership function values according to the input variables included in the respective fuzzy rule, and calculating a minimum value of the input membership function values as the output membership function value according to the respective fuzzy rule.

16. The system of claim 15, wherein the controller determines whether the input variables satisfy the respective fuzzy rule, selects the tendency and the output membership function according to the respective fuzzy rule if the respective fuzzy rule is satisfied, and sets a predetermined tendency and a predetermined value as the tendency and the output membership function value according to the respective fuzzy rule if the respective fuzzy rule is not satisfied.

17. The system of claim 12, wherein the controller determines the short term driving tendency by overlapping the plurality of output membership functions on one short term tendency index graph, and calculating a center of an area occupied by the plurality of output membership function values on the short term tendency index graph.