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Dynamic Traction Control By: Thiago Avila, Mike Sinclair & Jeffrey McLarty.

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Presentation on theme: "Dynamic Traction Control By: Thiago Avila, Mike Sinclair & Jeffrey McLarty."— Presentation transcript:

1 Dynamic Traction Control By: Thiago Avila, Mike Sinclair & Jeffrey McLarty

2 Motivation Drastically improve vehicle performance and safety by maintaining optimal wheel traction in all road conditions

3 Motivation

4 Needs Assessment FSAE car is currently traction limited and would benefit from the use of a traction control system System must follow FSAE guidelines Minimal cost solution should be pursued

5 Design Criteria and Constraints ◦Meet FSAE Guidelines ◦Predict slip with enough time to adjust engine output ◦Reduced FSAE 75m acceleration times ◦Improve FSAE skid pad testing results

6 Problem Formulation The traction control system is required to prevent driver error from overloading any of the four wheels and causing slip, through either throttle or brake application

7 Abstraction Physics model sensors ◦3-axis Accelerometer ◦Linear Potentiometer Cost & Complexity Engine Power Control ◦Cutting Spark Difficult to Predict Power ◦Limiting Fuel Improper Fuel Ratio ◦Drive by wire throttle Infringes FSAE rules ◦Electronic Air Restrictor

8 Proposed Solution Breakdown Slip Model ◦Vehicle Dynamics and Sensing Vehicle Control ◦Electronic Restrictor

9 Proposed Solution Slip Model ◦Dynamic Physics Model ◦Dynamic Coefficient of Friction ◦Understeer Detection

10 Design Layout Physics Model (Saturator) ECU RPM Throttle Pos. Driver Pedal Slip Angle Radius External Sensors X/Y/Z Acceleration + - CBR 600 F4i Engine Wheels Wheel Slip Detector μs/μkμs/μk

11 Physics Model

12 Torque Map

13 Interpolation Interpolate Between Four Points on Torque Map Interpolate between Engine Speeds at Throttle 1

14 Interpolation Interpolate Between Four Points on Torque Map Interpolate between Engine Speeds at Throttle 1 Interpolate between Engine Speeds at Throttle 2

15 Interpolation Interpolate Between Four Points on the Torque Map Interpolate between Engine Speeds at Throttle 1 Interpolate between Engine Speeds at Throttle 2 Interpolate between results at different Throttles

16 Interpolation Interpolate Between Four Points on the Torque Map Interpolate between Engine Speeds at Throttle 1 Interpolate between Engine Speeds at Throttle 2 Interpolate between results at different Throttles

17 Interpolation Interpolate Between Four Points on the Torque Map Interpolate between Engine Speeds at Throttle 1 Interpolate between Engine Speeds at Throttle 2 Interpolate between results at different Throttles Engine Power from 4 point Interpolation = Done

18 Physics Model

19 Data Acquisition Installed Sensors ◦Steering Wheel Angle ◦2-D Acceleration ◦Suspension Deflection ◦Wheel Velocity ◦Brake Pressure ◦Engine RPM ◦Throttle Position ◦Air Mass Flow Rate

20 Physics Model Simulation

21 Model Validation – FL Tire

22 Slip Condition

23 Dynamic Coefficient of Friction Calculator Slip Detected Calculate Engine Torque @ T(0) Calculate Vertical Force @ T(0) Calculate Coefficient of Friction and Update Model μ s Calculate Coefficient of Friction and Update Model μ s

24 Optimize Performance No Slip Detected Is μ s at the limit? No Slip Detected Is μ s at the limit? Maintain current μ s Increase μ s Yes No New Limit Initial Value Calculated Values

25 Understeer Detection Turning Radius: ◦Desired vs. Actual Major Factor: ◦Wheel Slip Angle

26 Slip Angle

27 Proposed Solution Vehicle Control ◦Electronic Restrictor ◦Brake Pressure Controller

28 Electronic Restrictor

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35 Servo Rotary Potentiometer Gears Butter -Fly- Valve

36 Electronic Restrictor

37 Patents Physics Model (Saturator) ECU RPM Throttle Pos. Driver Pedal Slip Angle Radius External Sensors X/Y/Z Acceleration + - CBR 600 F4i Engine Wheels Wheel Slip Detector μs/μkμs/μk

38 Patents Physics Model (Saturator) ECU RPM Throttle Pos. Driver Pedal Slip Angle Radius External Sensors X/Y/Z Acceleration + - CBR 600 F4i Engine Wheels Wheel Slip Detector μs/μkμs/μk Possibly patentable: Continuously Improving Predictive Traction Control

39 1 day 2 weeks 1 week 2.5 weeks 4 weeks Commissioning The Plan Start Create Controller based on Design Criterion Finish Install Restrictor Order Parts & Materials Build Restrictor Test & Optimize Critical Path ~10 weeks 3.5 weeks Program PSoC with Physics Model & Interpolation

40 Questions? Comments?

41 The End Thank you!


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