Efficient use of professional sensors in car and tire performance measurement and comparison

Similar documents
A new approach to steady state state and quasi steady steady state vehicle handling analysis

d y FXf FXfl FXr FYf β γ V β γ FYfl V FYr FXrr FXrl FYrl FYrr

Tech Tip: Trackside Tire Data

Simplified Vehicle Models

Vehicle functional design from PSA in-house software to AMESim standard library with increased modularity

Identification of tyre lateral force characteristic from handling data and functional suspension model

The goal of the study is to investigate the effect of spring stiffness on ride height and aerodynamic balance.

Modeling tire vibrations in ABS-braking

TECHNICAL NOTE. NADS Vehicle Dynamics Typical Modeling Data. Document ID: N Author(s): Chris Schwarz Date: August 2006

The Study For Anti-Rollover Performance Based On Fishhook and J Turn Simulation Fei Xiong 1,a, Fengchong Lan 1,b, Jiqing Chen 1,c*,Yunjiao Zhou 1,d

Goals. Software. Benefits. We can create and evaluate multiple vehicle setups for a track. OptimumDynamics - Case Study Track Study

A dream? Dr. Jürgen Bredenbeck Tire Technology Expo, February 2012 Cologne

Cars, The high measuring accuracy of the precision load cells is retained during transmission, since digitization takes place on the wheel to

Study Of On-Center Handling Behaviour Of A Vehicle

Development of an Advanced Torque Vectoring Control System for an Electric Vehicle with In-wheel Motors using Soft Computing Techniques

Experimental analysis of a contact patch form of a rolling tire: influence of speed, wheel load, camber and slip angle

Alfonso PORCEL, Olivier MACCHI - PSA Peugeot Citroen, France

Advanced Safety Range Extension Control System for Electric Vehicle with Front- and Rear-active Steering and Left- and Right-force Distribution

Chassis development at Porsche

Cornering & Traction Test Rig MTS Flat-Trac IV CT plus

Simulation Study of Oscillatory Vehicle Roll Behavior During Fishhook Maneuvers

Design and Integration of Suspension, Brake and Steering Systems for a Formula SAE Race Car

Cars, Light Trucks Application The RoaDyn P650 is suited for measurements of wheel forces and -moments during all kinds of driving manoeuvres

The Influence of Electronic Stability Control, Active Suspension, Driveline and Front Steering Integrated System on the Vehicle Ride and Handling

The Effect of Weight Distribution on a Quarter Midget. Joey Dille

Extracting Tire Model Parameters From Test Data

SPMM OUTLINE SPECIFICATION - SP20016 issue 2 WHAT IS THE SPMM 5000?

STEERING STABILITY BASED ON FUZZY-LOGIC. Beatriz L. Boada, María Jesús L. Boada,

Environmental Envelope Control

Characterisation of Longitudinal Response for a Full-Time Four Wheel Drive Vehicle

Analysis. Techniques for. Racecar Data. Acquisition, Second Edition. By Jorge Segers INTERNATIONAL, Warrendale, Pennsylvania, USA

Improvement of Vehicle Dynamics by Right-and-Left Torque Vectoring System in Various Drivetrains x

SUMMARY OF STANDARD K&C TESTS AND REPORTED RESULTS

A Methodology to Investigate the Dynamic Characteristics of ESP Hydraulic Units - Part II: Hardware-In-the-Loop Tests

The Multibody Systems Approach to Vehicle Dynamics

Bus Handling Validation and Analysis Using ADAMS/Car

ENERGY ANALYSIS OF A POWERTRAIN AND CHASSIS INTEGRATED SIMULATION ON A MILITARY DUTY CYCLE

GLOBAL ORGANIZATION - LOCAL SUPPORT TESTING EQUIPMENT

Passenger Vehicle Steady-State Directional Stability Analysis Utilizing EDVSM and SIMON

Fault-tolerant control of electric vehicles with inwheel motors using actuator-grouping sliding mode controllers

SPMM OUTLINE SPECIFICATION - SP20016 issue 2 WHAT IS THE SPMM 5000?

TÜV SÜD Tire Test 2017

Comparison of Braking Performance by Electro-Hydraulic ABS and Motor Torque Control for In-wheel Electric Vehicle

Using Adams as master model for ECU system simulation

The vehicle coordinate system shown in the Figure is explained below:

Driving dynamics and hybrid combined in the torque vectoring

INTELLIGENT ACTIVE ROLL CONTROL SHAUN TATE

PID PLUS FUZZY LOGIC METHOD FOR TORQUE CONTROL IN TRACTION CONTROL SYSTEM

Modification of IPG Driver for Road Robustness Applications

Development of a Multibody Systems Model for Investigation of the Effects of Hybrid Electric Vehicle Powertrains on Vehicle Dynamics.

TÜV SÜD - Tire Test 2017

Vehicle dynamics Suspension effects on cornering

Identification of A Vehicle Pull Mechanism

a) Calculate the overall aerodynamic coefficient for the same temperature at altitude of 1000 m.

Data acquisition and analysis tools

TIRE MODEL FOR SIMULATIONS OF VEHICLE MOTION ON HIGH AND LOW FRICTION ROAD SURFACES

GENERAL 0-1 CONTENTS EXTERNAL VIEW... 2 MODEL LINEUP... 2 MODEL AND VARIANT CODES... 3 AIMS OF DEVELOPMENT... 3 TECHNICAL FEATURES...

JRS Dynamic Rollover Test Toyota Prius

Constructive Influences of the Energy Recovery System in the Vehicle Dampers

POWER TRAIN 2-1 CONTENTS AYC SYSTEM... 9 CLUTCH... 2 MANUAL TRANSMISSION... 3 PROPELLER SHAFTS... 4 FRONT AXLE... 5 REAR AXLE... 6

Review on Handling Characteristics of Road Vehicles

Dylan Lewis Lewton. Dissertations and Theses

ANTI-LOCK BRAKE SYSTEM. Seminar by K.JAYAKISHORE GRIET HYDERABAD

Modelling and simulation of full vehicle to study its dynamic behavior

Analysis and control of vehicle steering wheel angular vibrations

JRS Dynamic Rollover Test Scion xb

General Vehicle Information

Proposal of a Range Extension Control System with Arbitrary Steering for In-Wheel Motor Electric Vehicle with Four Wheel Steering

Modeling, Analysis and Control Methods for Improving Vehicle Dynamic Behavior (Overview)

UNIFIED, SCALABLE AND REPLICABLE CONNECTED AND AUTOMATED DRIVING FOR A SMART CITY

Development of Integrated Vehicle Dynamics Control System S-AWC

Appendix A: Motion Control Theory

Anti Locking Brakes. Seminar by JYOTI RANJAN NAYAK. Regd no:

I. Tire Heat Generation and Transfer:

The Synaptic Damping Control System:

Feature Article. Wheel Slip Simulation for Dynamic Road Load Simulation. Bryce Johnson. Application Reprint of Readout No. 38.

JRS Dynamic Rollover Test Toyota Camry

1.4 CORNERING PROPERTIES OF TIRES 39

The Multibody Systems Approach to Vehicle Dynamics

MOTOR VEHICLE HANDLING AND STABILITY PREDICTION

Oversteer / Understeer

Compatible Measuring Systems for Data Acquisition of Vehicle Dynamics

CHAPTER 4 : RESISTANCE TO PROGRESS OF A VEHICLE - MEASUREMENT METHOD ON THE ROAD - SIMULATION ON A CHASSIS DYNAMOMETER

Steady State Handling

Aerodynamic Drag Assessment

MODELING AND SIMULATION OF 14 DOF VEHICLE DYNAMICS AMRIK SINGH A/L PHUMAN SINGH UNIVERSITI TEKNIKAL MALAYSIA MELAKA

JRS Dynamic Rollover Test Chevrolet Malibu

Comparison of Braking Performance by Electro-Hydraulic ABS and Motor Torque Control for In-wheel Electric Vehicle

RST 5 RACING BRAKE PADS FOR RALLY CARS RALLY THE REVOLUTION IN RALLY BRAKING

Racing Tires in Formula SAE Suspension Development

ME 466 PERFORMANCE OF ROAD VEHICLES 2016 Spring Homework 3 Assigned on Due date:

ABS. Prof. R.G. Longoria Spring v. 1. ME 379M/397 Vehicle System Dynamics and Control

Tech Tip: Springs & Dampers, Part One The Phantom Knowledge

In Wheel Motors and their Value Propositions in the Automotive Industry

Accident Reconstruction & Vehicle Data Recovery Systems and Uses

HANDLING CHARACTERISTICS CORRELATION OF A FORMULA SAE VEHICLE MODEL

Freight Gauge Nuances. Presented by Martin Osman 4 th November 2015

Performance comparison of collision avoidance controller designs

ROLLOVER CRASHWORTHINESS OF A RURAL TRANSPORT VEHICLE USING MADYMO

Power Pack Testing at Environment Canada s Testing Facilities Heavy-Duty Vehicle and Engine Greenhouse Gas Emission Regulations

Transcription:

Efficient use of professional sensors in car and tire performance measurement and comparison Vehicle Dynamics Expo Presentation By Stefan Kloppenborg June 16 nd -18 th 2009

Topics What is OptimumG Yaw moment Using sensors to characterize Tire and their effect on handling Examples of component evaluation 2 2

OptimumG 3 3

OptimumG In-House seminars One-on-one training Public seminars 4 4

Public & In-House OptimumG Seminars 3 and 4 Day 12 Day Workshop Design Around Customer Needs 8900 Power Point Slides to choose from 5 5

OptimumG Seminars Customers 312 Seminars / 12 Years Over 6000 Satisfied Customers Alcon AP Brakes Brembo Bridgestone-Firestone USA Bridgestone Tech. Center Europe BMW Citroen Sport Corrsys-Datron Chrysler Dunlop Ferrari Ford Advanced Vehicle Operations Goodyear Mac Laren Magneti-Marelli, Michelin Mitsubishi Multimatic MoTeC Nascar Ohlins Oreca Penske Pi Research Pirelli Porsche PSA Peugeot Citroen Toyota ZF-Sachs. 6

Chassis design OptimumG Consulting 7 7

Suspensions Design OptimumG Consulting 8 8

Testing and Development OptimumG Consulting 9 9

OptimumG Consulting Aerodynamics studies Model design Wind tunnel Testing 10 10

OptimumK Kinematics Software OptimumG Software 11 11

Steady State Computational Vehicle Dynamics OptimumG Software 12 12

OptimumG Software OptimumT Tire test data visualization and modeling 13 13

OptimumG 14 14

Understanding Vehicle Behavior Understanding 15 15

Whether it is about Safety Or about performance 16 16

Yaw moment Tire forces and moments Agility / Stability / Crash Avoidance Performances Cornering Braking Combined accelerations T F Indispensable in car and tire design Car and tire simulation Car and tire development ESP / ABS / Traction control 17 17

Cornering Steady State Vehicle Dynamics Basics FyFL + FyFR + FyRL + FyRR = Mass * latg b a M = 0 ( F + F ) a ( F + F ) b = yfl yfr yrl yrr 18 0 18

Braking Steady State Vehicle Dynamics Basics F + F + F + F = Mass * xfl xfr xrl xrr longg T F T F T R M = 0 ( T T T T F R F R F + F ) ( F + F ) 0 2 2 2 2 = xfr xrr xfl xrl 19 19

Steady State Vehicle Dynamics Basics Braking and Cornering Fy Fx : : FyFL + FyFR + FyRL + FyRR = Mass * F + F + F + F = Mass * xfl xfr xrl xrr b a T F latg longg T F M = 0 T R TF TR TF TR [ ( F + F ) ( F + F ) ] + [ ( F + F ) a ( F + F ) b] = 0 xfr xrr xfl xrl yfl yfr yrl yrr 2 2 2 2 20 20

Steady State Vehicle Dynamics Basics Tire self aligning torque FyFL + FyFR + FyRL + FyRR = Mass * Fy Fx F + F + F + F = Mass * xfl xfr xrl xrr latg longg b a T F T F T R M = 0 [( T T T T F R F R F + F ) ( F + F )] + [( F + F ) a ( F + F ) b] M M M M 2 2 2 2 = xfr xrr xfl xrl yfl yfr yrl yrr zrf zlf zrr zlr 21 0 21

Transient Vehicle Dynamics Basics b a T F T F T R d 2 θ/dt 2 = Yaw acceleration I zz = Moment of Inertia = d(yaw rate)/dt = d(gyro)/dt [( F XLF TF + F 2 xlr TR ) ( F 2 xrf TF + F 2 xrr TR )] + 2 [( F yfl d + F yfr ) a ( F yrl =I 2 θ/dt 2 zz + F yrr b] M 22 ) zrf M zlf M zrr M zlr 22

Measuring Yaw Moment b a T F T F T R [( F XLF T F 2 + F xlr TR ) ( F 2 xrf TF + F 2 xrr TR )] + 2 [( F yfl + F yfr ) a ( F yrl =I d 2 θ/dt 2 zz Allows us to determine and quantify each of the 12 causes of the yaw moment + F yrr b] M 23 ) zrf M zlf M zrr M zlr 23

Yaw Moment Two Methods of Calculating Yaw Moment There is some difference between the yaw moment calculated with the wheel forces and the yaw moment calculated with the gyro. From Yaw Acceleration From Tire Forces On cars with a lot of suspension compliance, there is a lag between the tire forces and the yaw acceleration. M= I zz d 2 θ/dt 2 24 24

Yaw Moment: The 3 Types of Causes The yaw moment from lateral forces and longitudinal forces are usually the greater than the yaw moment from Mz 25 25

Yaw Moment: The 12 Causes Total Yaw Moment Yaw Moment from Fx (longitudinal) Yaw Moment from Fy (lateral) Yaw Moment from Mz (tire self aligning torque) 26 26

Validating OptimumG has been developing vehicle dynamics software and needed a way to validate it Oreste Berta Motorsports provided a car, test-track and mechanics to allow OptimumG test 27 27

What Determines Tire Forces and Moments? Mz Tire construction Tire compound Rim Road surface Mx Slip angle (including toe) Slip ratio Camber Vertical load Pressure Speed Wear Temperature Ground Air, nitrogen Compound core Tread Surface All the derivatives of the above parameters Fx Fy Fz My And what can we do to change them? 28 28

Tire forces and moments Slip Angle Lateral tire force vs. Slip angle 29 29

Slip Angle - Wheels Measuring Slip Angle Corrsys-Datron S350 Instant Turn Center 30 30

Tire forces and moments Vertical Load Tire lateral force Vs. slip angle and vertical load 31 31

Measuring Vertical Load Kistler Wheel Force Transducer 32 32

Tire forces and moments Camber Tire lateral force Vs slip angle, vertical load, camber 33 33

Lateral Force (N) Tire forces and moments Camber Slip Angle (deg) Normal Load (N) Tire lateral force Vs slip angle, vertical load, camber 34 34

Measuring Camber Corrsys-Datron DCA Sensor 35 35

Tire forces and moments Slip Ratio Tire longitudinal force vs. slip ratio and vertical load 36 36

Measuring Slip Ratio ReΩ V Sr = V 37 37

Tire forces and moments Combined tire forces 38 38

The Max Longitudinal Force do not always correspond to 0 Lateral Force! Longitudinal Force What is a Friction Ellipse? Max Longitudinal Force Max Total Force Current Total Force Current Longitudinal Force Max Lateral Force Max + Lateral Force Current Lateral Force Lateral Force Max Longitudinal Force The Max Lateral Force do not always correspond to 0 Longitudinal Force! Lateral Efficiency (%) = Max Lateral Force Current Lateral Force Total Efficiency (%)= x 100 Longitudinal Efficiency (%) = Total Force Current Total Force x 100 Max Longitudinal Force Current Longitudinal Force x 100 39 39

Friction Ellipse Per Tire (Baseline) LatG=1, LongG=0, Speed=93 MPH, Yaw Moment=0 FL Vert Load=399.5 lbf Camber= 3.46 Slip Angle= 2.47 Slip Ratio=0 800 lbf 850 lbf 800 lbf FR Vert Load= 1107.6 lbf Camber= 2.03 Slip Angle= 1.26 Slip Ratio=0 1910 lbf 2250 lbf 2025 lbf Lat Force= 508.9 lbf Long Force= 8.9 lbf Efficiency=68.9% 850 lbf Lat Force= 1042.8 lbf Long Force=16.5 lbf Efficiency=46.5% 2025 lbf RL Vert Load=509.8 lbf Camber= 2.17 Slip Angle= 1.66 Slip Ratio= 0.46 1075 lbf 1125 lbf 1075 lbf RR Vert Load=1112.6 lbf Camber= 0.40 Slip Angle= 5.05 Slip Ratio= 0.30 2250 lbf 2500 lbf 2025 lbf Lat Force= 544.7 lbf Long Force=130.4 lbf Efficiency=51.1% 1125 lbf Lat Force= 2102.4 lbf Long Force=195.6 lbf Efficiency=97.4% 2250 lbf 40 40

Friction Ellipse Per Tire (Comparison) LatG=1, LongG=0, Speed=93 MPH, Yaw Moment=0, Front suspension 1 deg toe in FL Vert Load=379.4 lbf Camber= 3.96 Slip Angle= 1.00 Slip Ratio=0 675 lbf 790 lbf 675 lbf FR Vert Load= 1221.2 lbf Camber= 1.55 Slip Angle= 1.97 Slip Ratio=0 1910 N 2700 lbf 2250 lbf Lat Force= 254.0 lbf Long Force= 8.7 lbf Efficiency=37.1% 790 lbf Lat Force= 1438.3 lbf Long Force= 17.1 lbf Efficiency=66.8% 2250 N RL Vert Load=503.1 lbf Camber= 2.32 Slip Angle= 1.16 Slip Ratio= 0.69 1125 lbf 1125 lbf 1125 lbf RR Vert Load=1219.6 lbf Camber= 0.27 Slip Angle= 5.47 Slip Ratio= 0.45 2250 lbf 2360 lbf 2340 lbf Lat Force= 421.2 lbf Long Force=946.4 lbf Efficiency=43.77% 1125 lbf Lat Force= 2298.6 lbf Long Force=319.1 lbf Efficiency=99.3% 2290 lbf 41 Vehicle Dynamics 41 Expo 16-18 May 2009 Stuttgart, Germany

Measuring the Tire Force Vectors Each tire s force vector can be plotted in a scatter (XY) plot The vertical load can be displayed with a bar graph Data points are colored by vertical load (red being more load, blue being less) 42 42

Measuring the Tire Force Vectors Each tire s force vector can be plotted in a scatter (XY) plot The vertical load can be displayed with a bar graph Higher force in direction of inside of each tire due to lateral load transfer Maximum drive force (longitudinal) when no lateral force is exerted 43 43

Tire Force Curves From WFT Data Tire force curves can be developed from wheel force transducer and slip angle sensor data Normalized Lateral Load OptimumT was used to fit a Pacejka 2002 Model Normal Load (Fz) - N Slip angle (deg) 44 44

Tire Force Curves From WFT Data Logged WFT and slip angle data Fitted tire model in OptimumT 45 45

Example of data analysis Brake torque and brake pressure follow each other. If the calipers were sticking, the torque would lag the pressure. Brake Pressure and Torque 46 46

The actual force brake bias can easily be determined by looking at the Fx load of the wheels. 66% Front Example of data analysis Results in brake bias shift Front to Brake front Distribution On cars equipped with ABS, shifts in brake balance can be detected. Master cylinder Front circuit Rear circuit Brake Pressure (bar) Front Circuit (bar) Rear Circuit (bar) Rear wheel locks, decrease in rear brake pressure 47

Example of data analysis Diff Characteristics Salisbury Diff Clutch plates Ramp angles Belleville washer Slope of envelope indicates ramp angle and number of clutch plates Size of neck indicates preload 48 48

Questions? Contacts OptimumG LLC. 8801 E. Hampden Ave. Suite 210 Denver, CO 80231 engineering@optimumg.com www.optimumg.com 49