Scarica il documento per vederlo tutto.
Scarica il documento per vederlo tutto.
Scarica il documento per vederlo tutto.
Scarica il documento per vederlo tutto.
Scarica il documento per vederlo tutto.
Scarica il documento per vederlo tutto.
Scarica il documento per vederlo tutto.
Scarica il documento per vederlo tutto.
vuoi
o PayPal
tutte le volte che vuoi
THANKS
Any question?
Contacts:
alessandro.tasora@unipr.it
Alessandro Tasora 25
TIRES
Alessandro Tasora
Name Surname
1.
INTRODUCTION
Basic concepts of tires
Alessandro Tasora 2
Why tire models?
• Vehicle dynamics: needs loads on vehicle body to write an ODE/DAE
• Tire forces are the most important loads
• We need a way to compute F (normal, lateral, longitudinal) from tire state (slip
angle? Longitudinal slippage? Temperature? …)
= { , , } =
Alessandro Tasora 3
Tire footprint forces
• The contact is not a point – it is a patch.
• In most models, simplified to a point.
• Experimental devices can measure pressure, forces, deformation, etc.
Image credits: Goodyear Wrangler
Alessandro Tasora 4
SAE tire reference
• Most general case: a “wrench”, 6 scalars:
•
three forces ,
• Longitudinal
• Lateral
• Vertical (normal)
•
three torques
• Overturning moment
• Rolling resistance
• Aligning torque
• ,
Note the slip angle
inclination angle, radius {, } = { , , , , , } =
Alessandro Tasora 5
Simplified disk model
• Assume no thickness
• Assume local lateral elastic deformation
Alessandro Tasora 6
Simplified disk model
• Enough for studying lateral forces and slip angle
• Elastic lateral deformation
• Slip angle > 0 even if local contact ≤
satisfies static Coulomb friction condition
• The “softer” the rubber, the lower the
cornering stiffness, even if good adhesion
Alessandro Tasora 7
Simplified disk model
• Experimental results
Alessandro Tasora 8
Tire lateral forces
•
Effect of slip angle
Alessandro Tasora 9
Tire lateral forces
• Effect of normal force ( right: normalized )
• Note! If it was basic Coulomb friction, all curves in the plot at the right should be the same
• Instead, too high normal force usually leads to (a bit) lower lateral G forces, for same tire
Alessandro Tasora 10
Tire lateral forces
• Effect of normal force
• Note! If it was basic Coulomb friction, all curves in the plot at the right should be the same
• Instead, too high normal force usually leads to (a bit) lower lateral G forces, for same tire
Alessandro Tasora 11
Tire lateral forces
• Effect of inclination angle (camber)
• From rear:
Alessandro Tasora 12
Longitudinal force
• Tractive / breaking force
Alessandro Tasora 13
Longitudinal force
• Effect of Slip Ratio SR
• SAE definition:
• Free rolling: SR = 0
• Locked braking: SR=-1
Alessandro Tasora 14
Longitudinal force
• Alternative definitions of Slip Ratio SR, for generic 3D case
• SAE :
• Calspan TIRF
• Goodyear
• Pacejka
• Sakai
• Note: all have singularities! Divisions by zero…
Alessandro Tasora 15
Combined longitudinal-lateral
• Sakai plots:
Alessandro Tasora 16
Combined longitudinal-lateral
• Increasing slip ratios will decrease
the ability of generating high
lateral corces
Alessandro Tasora 17
Combined longitudinal-lateral
• In a single plot!
The friction circle diagram:
• For a fixed vertical load – if different
loads, one needs a family of plots
• Similar to the friction disc of
the Coulomb friction model
• Not perfectly circular (oblated)
• Tells easily which is the max force
that a tire can transmit to the
ground (see perimeter)
Alessandro Tasora 18
Aligning torque
• Effect of slip angle and load:
•
Practical result: “trail” torque on
steering wheel driver feedback:
Alessandro Tasora 19
Rolling resistance torque
• Caused by
• Hystheresis
• Dirt road
• Brushing effects in tire threads
• Other
• Macroscopic effect: the tire contact
point, w.resultant of normal pressures,
is moved ahead by a rolling parameter
•
Rolling coefficient , for
=
• Rolling resistance torque, linearizing:
=
Alessandro Tasora 20
1.
TIRE MODELS
Introduction to numerical modeling of tires
Alessandro Tasora 21
Classification
• Which is the goal? Implement an algorithm to compute:
{, } = { , , , , , } =
• Empirical models (LUT)
• Only experimental data, stored in Look-up table (LUT) to be interpolated at run time.
• Very fast, but need to repeat experiments if tire parameters change
• Semi-Empirical models
• Based on fitting experimental data with some parameters (ex. Pacejka “magic formulas”)
• Very fast, often used in real-time simulators
• Physical models
• Can capture deformation, high frequency vibrations, 3D contact effects, etc.
• Based on Finite Elements or similar tech with many degrees of freedom, slow to
compute, for tire design rather than vehicle dynamics
Alessandro Tasora 22
Coulomb
• The simplest semi empirical model.
• Only friction coefficient is needed.
• Unrealistic because assumes perfectly rigid tires.
• Can be used to study AGV robots, etc.
• Could work with obstacles (curbs, etc.), multiple contact points
Alessandro Tasora 23
FTIRE
• One of the oldest tire models
• Pros:
• Simple formulas
• fast to compute
• Only 9 parameters
• Limitations:
• No camber effect
• Constant cornering stiffness with
changing load
Alessandro Tasora 24
Pacejka
• Based on “magic formulas” that approximate the empirical plots, ex.
• Parameters adjusted by fitting experimental data
• Very fast to compute, quite realistic Image credits: www:racer.nl
Alessandro Tasora 25
MF-Tire
• Based on Pacejka formulas
• Licensed by Delft as ready-to-use code
• Magic Formula slip characteristics
• Advanced non-linear relaxation effects
• Single point tyre-road contact
• Combined slip estimation possibilities
• Inflation pressure effects
• OpenCRG road modelling
Alessandro Tasora 26
MF-Swift
• Extends MF-Tire
• Licensed by Delft as ready-to-use code
• Adds generic 3D obstacle enveloping and tyre belt dynamics
• Highlights:
• Magic Formula slip characteristics
• Unique advanced contact model for uneven roads
• Rigid ring model for representing tyre dynamics
• Parking and turnslip
• Inflation pressure effects
• OpenCRG road modelling
• Usable up to 100Hz effects
Alessandro Tasora 27
TMeasy
• Semi-empirical
• Fast to compute
• Allows 3D terrain
• Allows parking, stand still
• First 2 eigenmodes are simulated
• See Prof. Georg Rill book and website
Image credits: www.tmeasy.de
Alessandro Tasora 28
FTire
• Licensed ready-to-use code
• Physically-based model
• Very advanced, up to 250Hz effects, 1mm resol.
• Different degrees of fidelity, up to 3D deformations,
thermal effects, etc.
• Runs in hard-real-time
Image credits: www.cosin.eu
Alessandro Tasora 29
CDTire
• Licensed code, from Fraunhofer
• CDTire/RT real time version:
• flexible belt model
• scalable belt discretization
• local brush type contact model
• real-time capable
• accurate in frequency range up to 150Hz Image credits: https://www.itwm.fraunhofer.de
Alessandro Tasora 30
CDTire
• Licensed code, from Fraunhofer
• CDTire/3D physically based version:
• complete 3D shell based model
• separate modeling and parameterization
of all functional layers of a modern tire
• includes dedicated models for belt,
carcass, cap plies and tread
• capturing of belt/rim contact (ground out)
• flexible rim support
• dedicated local brush type contact model
• handle inflation pressure variations
• temperature model and cavity model
• applicable on arbitrary 3D road surfaces
• can be adapted to a motorcycle tire Image credits: https://www.itwm.fraunhofer.de
Alessandro Tasora 31
THANKS
Any question?
Contacts:
alessandro.tasora@unipr.it
Alessandro Tasora 32
AERODYNAMICS
Alessandro Tasora
Name Surname
1.
INTRODUCTION
Basic concepts of aerodynamics for vehicle dynamics
Alessandro Tasora 2
Why aerodynamics?
• Negligible at low speeds
• Relevant loads on vehicle at high speeds
•
Negative: drag less autonomy
•
Negative: noise less comfort
•
Positive: airfoils downforce higher performance in lateral dynamics
• Highly nonlinear effects
• How to estimate aero effects?
Alessandro Tasora 3
Approaches
• Analytical (only for simple shapes)
•
Experimental wind tunnels
• Expensive
• If scaling, must conserve at least
Reynolds number:
see also Strouhal number etc. Credits: Daimler, DE
•
Numerical CFD software
• CPU intensive
• As for all software:
“garbage in – garbage out” rule. Do not
misuse them. Credits: OpenFOAM software, at https://sourceforge.net
Alessandro Tasora 4
Concepts
• Static pressure p
• Dynamic pressure q
Alessandro Tasora 5
Concepts
• Total pressure H
• Pitot tube
• To compute airspeed V
Alessandro Tasora 6
Pressure distribution
• Design airfoils so that speed is different on the upper/lower side
• Integrate pressures over surfaces, obtain aerodynamic forces
• Exploit this to generate
•
Lift airplanes
•
Downforce racing cars
Alessandro Tasora 7
Separation, turbulence
• Ops! Sharp corners cause separation and turbulence
• Turbulence and vortexes not always a bad thing…
Alessandro Tasora 8
Drag coefficient
• Drag coefficient, a macroscopic measure of “ho