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© 2008 by EVU Tire models used in accident reconstruction vehicle motion simulation Raymond M. Brach, University of Notre Dame, Brach Engineering, R. Matthew Brach, Brach Engineering Abstract Various vehicle dynamic simulation software programs have been developed for use in reconstructing accidents. Typically these are used to analyze and reconstruct preimpact and postimpact vehicle motion. These simulation programs range from proprietary programs to commercially available packages. While the basic theory behind all simulations is Newton's laws of motion, some component modeling techniques differ from one program to another. This is particularly true of the modeling of tire force mechanics. Since tire forces control the vehicle motion predicted by a simulation, the tire mechanics model is a critical feature in simulation use, performance and accuracy. This is particularly true for accident reconstruction applications where vehicle motions can occur over wide ranging kinematic wheel conditions. Therefore a thorough understanding of the nature of tire forces is a necessary aspect of the proper formulation and use of a vehicle dynamics program. This paper includes a discussion of tire force mechanics, definitions of terms, modeling of individual tire force components and tire forces for combined braking and steering currently used in simulation software for reconstruction of accidents. The paper discusses the difference between a tire force ellipse and the friction ellipse. Equations are presented for five tire force models from three different simulation programs. Each model uses a different method for computing tire force components and combined braking and steering. Some tire force models begin with a specified level of braking force and use the friction ellipse to determine the corresponding steering force; this produces a resultant tire force equal in magnitude to full skidding for combined steering and braking. Three dimensional surface plots of the calculated forces are presented of all of the models. This allows for a visual comparison of the combined forces over a full range of the longitudinal and lateral tire slip variables. Introduction Tire Models: Beside helping to provide a smooth ride, the main function of an automotive pneumatic tire is to transmit forces with components, F x , F y , F z , and moments, M x , M y , M z , in three mutually perpendicular directions for vehicle directional control. This important role of tires has made tire behavior the subject of continuous study (and performance improvement) for nearly 80 years. Numerous tests have been conducted and mathematical models have been developed in an attempt to understand and predict these forces. Tire models have been divided into four different classifications [Pacejka]: 1) those that use a complex physical model, 2) those using a simple physical model, 3) models using similarity methods, and 4) models based solely on experimental data, so-called empirical models. Physical models are those intended to model tire performance (rather than vehicle performance). Physical models are concerned with such things as tire wear, temperature, traction, life, cost, etc. They have parameters such as construction, materials, loads, inflation pressure, geometry, tread design, speed, and so on. Complex physical models typically use finite element modeling techniques. Finite element models of tires are of particular use when considering the interaction between the tire and road irregularities and investigations into the friction between the road and the tire within the footprint of the tire [Tonuk and Unlusoy, Heschler, et al.]. Models based on similarity methods were useful early in the tire force model development process but have found less use recently as they have been superceded by the utility afforded by other models. Such methods are covered by Pacejka [Pacejka]. The two remaining model classifications, the simple physical model and the empirical models, are the two most prevalent used in the understanding and prediction of tire forces. They relate the physical and kinematical properties of tires to the development of tractive forces at the contact between the tire and the roadway surface. One of the most widely used simple physical model is the brush model. Brush models have been improved and developed over the recent years [Gäfvert & Svedenius] but have not yet found their way into dynamic simulation programs applied to accident reconstruction. A thorough coverage of the brush model is included in Pacejka [Pacejka]. The remaining tire model classification is the empirical tire model. Such models are also referred to as semi-empirical tire models in many references [Pacejka, Guo and Ren]. These models deal exclusively with the steady-state behavior of a tire. Treatment of the transient behavior of the tire, for example oscillatory response, response lag and wheel unbalance, is given elsewhere

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© 2008 by EVU

Tire models used in accidentreconstruction vehicle motion simulation

Raymond M. Brach, University of Notre Dame, Brach Engineering,R. Matthew Brach, Brach Engineering

Abstract

Various vehicle dynamic simulation software programshave been developed for use in reconstructing accidents.Typically these are used to analyze and reconstructpreimpact and postimpact vehicle motion. Thesesimulation programs range from proprietary programs tocommercially available packages. While the basic theorybehind all simulations is Newton's laws of motion, somecomponent modeling techniques differ from one programto another. This is particularly true of the modeling of tireforce mechanics. Since tire forces control the vehiclemotion predicted by a simulation, the tire mechanicsmodel is a critical feature in simulation use, performanceand accuracy. This is particularly true for accidentreconstruction applications where vehicle motions canoccur over wide ranging kinematic wheel conditions.Therefore a thorough understanding of the nature of tireforces is a necessary aspect of the proper formulationand use of a vehicle dynamics program.

This paper includes a discussion of tire forcemechanics, definitions of terms, modeling of individualtire force components and tire forces for combinedbraking and steering currently used in simulationsoftware for reconstruction of accidents. The paperdiscusses the difference between a tire force ellipse andthe friction ellipse. Equations are presented for five tireforce models from three different simulation programs.Each model uses a different method for computing tireforce components and combined braking and steering.Some tire force models begin with a specified level ofbraking force and use the friction ellipse to determine thecorresponding steering force; this produces a resultanttire force equal in magnitude to full skidding for combinedsteering and braking.

Three dimensional surface plots of the calculatedforces are presented of all of the models. This allows fora visual comparison of the combined forces over a fullrange of the longitudinal and lateral tire slip variables.

Introduction

Tire Models: Beside helping to provide a smooth ride,the main function of an automotive pneumatic tire is totransmit forces with components, Fx, Fy, Fz, andmoments, Mx, My, Mz, in three mutually perpendiculardirections for vehicle directional control. This important

role of tires has made tire behavior the subject ofcontinuous study (and performance improvement) fornearly 80 years. Numerous tests have been conductedand mathematical models have been developed in anattempt to understand and predict these forces. Tiremodels have been divided into four differentclassifications [Pacejka]: 1) those that use a complexphysical model, 2) those using a simple physical model,3) models using similarity methods, and 4) modelsbased solely on experimental data, so-called empiricalmodels. Physical models are those intended to modeltire performance (rather than vehicle performance).Physical models are concerned with such things as tirewear, temperature, traction, life, cost, etc. They haveparameters such as construction, materials, loads,inflation pressure, geometry, tread design, speed, andso on. Complex physical models typically use finiteelement modeling techniques. Finite element models oftires are of particular use when considering theinteraction between the tire and road irregularities andinvestigations into the friction between the road and thetire within the footprint of the tire [Tonuk and Unlusoy,Heschler, et al.]. Models based on similarity methodswere useful early in the tire force model developmentprocess but have found less use recently as they havebeen superceded by the utility afforded by other models.Such methods are covered by Pacejka [Pacejka].

The two remaining model classifications, thesimple physical model and the empirical models, are thetwo most prevalent used in the understanding andprediction of tire forces. They relate the physical andkinematical properties of tires to the development oftractive forces at the contact between the tire and theroadway surface. One of the most widely used simplephysical model is the brush model. Brush models havebeen improved and developed over the recent years[Gäfvert & Svedenius] but have not yet found their wayinto dynamic simulation programs applied to accidentreconstruction. A thorough coverage of the brush modelis included in Pacejka [Pacejka].

The remaining tire model classification is theempirical tire model. Such models are also referred to assemi-empirical tire models in many references [Pacejka,Guo and Ren]. These models deal exclusively with thesteady-state behavior of a tire. Treatment of the transientbehavior of the tire, for example oscillatory response,response lag and wheel unbalance, is given elsewhere

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[Pacejka, Allen, et al.]. Empirical models employmathematical functions capable of emulating the highlynonlinear behavior of the forces generated by the tiresthat is observed in experiment force data. Thesemathematical functions can range from straight linesegment approximations to nonlinear functions thatcontain numerous coefficients based on experimentaldata and determined by curve-fitting routines. Theprincipal use of these models is in the prediction of tireforces for vehicle dynamics simulation software. Many ofthese empirical models exist [Pacejka, Guo, Gäfvert,Hirschberg, Brach & Brach (2000), Pottinger, et al.]. Thisis the type of model examined in this paper.

Tire forces can be separated into a longitudinalforce component (braking and driving) and a lateral forcecomponent (steering/cornering). The longitudinal tireforce typically is mathematically expressed (modeled)and measured as a function of a variable called wheelslip. In some cases the longitudinal force is modeledsimply by a prescribed force level, sometimes expressedas a fraction of the normal force. The lateral tire force ismathematically expressed (modeled) and measured asa function of a variable called the sideslip angle, orsimply slip angle. A third, distinct, feature of a tire forcemodel is the method of properly combining these twoforce components for conditions of combined braking(wheel slip) and steering (sideslip). Other forces andmoments exist at the tire-road interface that areimportant for vehicle handling and design but are notconsidered here. Effects such as self-aligning torque,camber steer, conicity steer, ply steer, etc. are usuallyneglected for accident reconstruction applications.

It must be pointed out that the tire modelsdiscussed here are referred to as steady-state models.Such models do not directly model transient behavior ofthe tires such as the effects of relaxation and hysteresis.

Vehicle Dynamic Simulation: The use of vehicledynamics models in the field of accident reconstructionto simulate vehicle motion has evolved steadily over thelast few decades. Initially, the options of thereconstructionist were limited to the vehicle dynamicscapabilities of the variants with the US government-funded SMAC & HVOSM [McHenry, Segal] computerprograms being the most readily available options. Eventoday, simulation software appears to be underutilized inthe field as some reconstructionists continue to usesimplified methods in attempts to address complexmotion of a vehicle based on assumptions of constantdeceleration [Fricke 1, Fricke 2, Orlowski, Daily, et al.,Martinez] and even concepts such as “point massrotational friction” [Keifer, et al. (2005) and Keifer, et al.(2007)]. Various simulation programs are available to theaccident reconstructionist in the form of computer-basedvehicle dynamics programs and are becoming an integralpart of various accident reconstruction software [PC-Crash, HVE, VCRware]. These are vehicle dynamicprograms developed from within the accidentreconstruction community and are particularly suited tothe needs of that field. Other, more complex vehicle

dynamic software is also available [VDANL, Car-Sim,ADAMS]. While the latter software can be used inaccident reconstruction work, their complexity is bettersuited for vehicle development applications.

The basic premise behind all of the variations ofvehicle dynamics simulation programs is essentially thesame: a user provides initial conditions (position,orientation, velocity) for the vehicle, the vehicle-specificgeometry, the vehicle physical parameters (including tireparameters), and any time-dependent parameters (suchas steering input, braking/acceleration, etc.). Theprogram integrates the differential equations of motion ofthe vehicle (and semitrailer) to predict the motion as afunction of time for the given input conditions. The needsthat the accident reconstruction community has for asimulation program can differ from other users of vehicledynamics programs. Such needs include the ability tocapture the dynamics of the vehicle over a wide range ofmotion and vehicle conditions such as damaged oraltered wheelbase and/or track width, one or morewheels that are fully or partially locked due to crashdamage, large initial yaw rates following an impact, etc.In contrast, vehicle design and development worktypically use vehicle dynamics to study the performanceof a vehicle in its as-designed condition and operation.

Comparisons have been made [Han and Park]between EDVAP [HVE], PC-Crash (linear tire model)[PC-Crash] and a proprietary simulation program. Thesecomparisons consisted of three categories of initialconditions that result in three different types ofpostimpact motion. Category 1 uses initial conditionswith a relatively high yaw velocity. The resulting vehiclemotion showed that the yaw velocity decreased to nearzero and the vehicle continued with a translationalmotion (rollout). Category 2 uses initial conditions thatresulted in a nonzero yaw velocity that was maintaineduntil rest (spinout). Category 3 uses initial conditions thatresult in the vehicle experiencing a moderate yawvelocity and translation. The results showed that thelargest differences between EDVAP and PC-Crashoccurred for the initial conditions of Category 1. Onlysmall differences were found for Categories 2 and 3. Thefollowing work focuses on differences between tire forcemodels in the different simulation programs. All threemodels use the friction ellipse to compute combined tireforces.

In all cases, tire force accuracy is ofconsiderable importance to the users of the simulationsoftware. To a great extent, simulation accuracydepends on the ability of the tire model to predictaccurately the forces generated by each of the vehicle’stires acting in the plane of the roadway. Other thanaerodynamic forces, it is the tire forces acting at the tire-road contact patches that produce the motion of thevehicle.

This paper focuses on the tire models used bythree currently available simulation programs, PC-Crash,HVE and VCRware. These all have the capability tosimulate motion in at least two dimensions and can usea rigid vehicle suspension system. Some have more

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general capabilities such as three dimensional motion butthese features are not considered here. The tire modelsused by each of these software programs is described indetail. Tire moments are excluded here as they typicallyare not significant for purposes of accidentreconstruction.

NOTATION, ACRONYMS AND DEFINITIONS

• BNP: Bakker-Nyborg-Pajecka equations (also knownas the Magic Formula) [Pacejka]• Cα: lateral tire force coefficient (also corneringcoefficient), • Cornering stiffness: see Cα• Cornering compliance: 1'Cα• EDSMAC4: simulation software [HVE],• frictional drag coefficient: average, constant valueof the coefficient of friction of a fully sliding tire over asurface under given conditions (wet, dry, asphalt,concrete, gravel, ice, etc.) appropriate to anapplication,• friction circle: the friction ellipse when μx = μy,• friction ellipse: an idealized curve with coordinatesconsisting of the longitudinal and lateral tire forcecomponents that defines the transition of the resultanttire force from slip to the condition of full sliding,• Fx(s): an equation with a single independent variable,s, that models a longitudinal tire force for no steering, α= 0,• Fy(α): an equation with a single independent variable,α, that models a lateral force for no braking, s = 0,• Fx(α,s) = Fx[Fx(s),Fy(α),α,s]: an equation with twoindependent variables, (α,s), that models a longitudinaltire force component for combined braking andsteering,• Fy(α,s) = Fy[Fx(s),Fy(α),α,s]: an equation of twoindependent variables, (α,s), that models a lateral tireforce component for combined braking and steering,• Fz: wheel normal force,• full sliding: a condition when the combined slipvariables (α,s) give a resultant tire force equal to μFz,the same as skidding; see sliding,• HVOSM: Highway Vehicle Object Simulation Model• lateral (side, cornering, steering): in the direction ofthe y axis of a tire’s coordinate system,• longitudinal (forward, rearward, braking,accelerating, driving): in the direction of the x axis ofa tire’s coordinate system,• Fb: input value for thebraking or acceleration force, PC-Crash, if Fb > 0, tireforce is positive (acceleration), if Fb < 0, tire force isnegative (braking),• m-smac: simulation software [m-smac]• NCB: Nicolas-Comstock-Brach equations [Brach &Brach 2000, 2005]• PC-Crash: simulation software [PC-Crash],• rollout: translational motion alone of a vehicle thatcontinues following spinout,• sideslip: see α,• SIMON: SImulation MOdel Nonlinear [HVE]• sliding: the condition of a moving wheel and tire

locked from rotating (s = 1), or moving sideways (α =π/2),• s: longitudinal wheel slip,• slip velocity: the velocity relative to the ground ofthe center of a tire at the contact patch,• slip angle: see sideslip angle, α,• SMAC: Simulation Model of Automobile Collisions[McHenry]• spinout: motion of a vehicle that includes bothtranslation and yaw rotation,• T: an input value for the braking or accelerationforce, SMAC, if T > 0, tire force is positive (acceleration), if T < 0,tire force is negative (braking),• VCRware: simulation software [VCRware],• Vx, Vy: components of the velocity of a wheel’s hubexpressed in the tire’s coordinate system,• Vp: slip velocity of a tire at point P of the tire patch.• wheel slip: see s,• x-y-z: orthogonal tire coordinates where x is in thedirection of the tire’s heading and z is perpendicular tothe tire’s contact patch (see Fig 1),• yaw: vehicle rotation about a vertical axis• α: tire slip angle (also, tire sideslip angle and lateralsideslip angle),• βp: angle of a tire’s slip velocity relative to the tire’s xaxis and angle of the resultant force parallel to theroad plane (see Fig 2),• β: angle relative to the x axis of the resultant tireforce (see Fig 2),• β_: nondimensional slip angle, Eq 45 & 50, SMAC,

• μx: tire-surface frictional drag coefficient measuredfor full sliding in the longitudinal direction, s = 1, α = 0,• μy: tire-surface frictional drag coefficient measuredfor full sliding in the lateral direction, α = π/2.

TIRE KINEMATICS

Two kinematic variables typically are used with tire forcemodels and with the measurement of tire forces. Theseare the sideslip angle, α, and the longitudinal wheel slip,s. Sideslip angle, or slip angle, defined at the wheel hub,is illustrated in Fig 1 and is defined as (1)1tan ( / )y xV Vα −=Wheel slip can have different definitions [Brach & Brach(2000), Pacejka]. The one used here is such that 0 # s# 1, where

(2)x

x

V RsV

ω−=

Figures 1 and 2 show the tire slip velocity componentsVPx = Vx - Rω and Vpy = Vy. Note that the resultant vectorvelocity, V, at the wheel hub and resultant slip velocity,Vp, at the contact patch center differ both in magnitudeand direction. The slip velocity, Vp, is the velocity of thepoint P relative to the road surface. Also, the direction ofthe resultant force, F, and the slip velocity, Vp, generallydiffer. For no steering, the longitudinal (braking,

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accelerating) tireforce component,Fx(s), typically ise x p r e s s e dmathematically as afunction of the wheelslip alone. Similarly,for no braking, thelateral (cornering,s t e e r i n g ) f o r c ecomponent, Fy(α),typically is expressedmathematically as afunction of the sideslip angle alone.

FRICTION ELLIPSE,TIRE FORCE ELLIPSE

The x-y tirecoordinate system andvelocities of a rotatingwheel are illustrated inFig 1. In an ideal sense atire can be slipping at thetire-road interface and be providing controlledlongitudinal and lateral tire force components. Thiscondition occurs when the resultant tire force lies withinthe friction (limit) ellipse, Fig 3. However, when control islost, a condition of skidding (full sliding) is reached wherethe tire force reaches its sliding value, μFz, and thedirection of the resultant force opposes the velocity, Vp.This is when the resultant tire force lies on the friction(limit) ellipse. Some, such as the Nicolas-Comstockmodel [Brach & Brach, 2000], define an operating tireforce ellipse, Fig 3. The tire force components forcombined braking and steering Fx = Fx(α,s), Fy = Fy(α,s)and resultant, F = F(α,s), are illustrated over a tire-roadcontact patch in Fig 2. Ideally the force components forma force ellipse where the abscissa is the longitudinal tireforce component, Fx(α,s), and ordinate is the lateral tireforce component, Fy(α,s). The equation of the tire forceellipse is given by Eq 3, or in a more concise form in Eq4 [Brach and Brach, 2005]. The resultant force is

. As shown in Fig 3,2 2( , ) ( , ) ( , )x yF s F s F sα α α= +the Fx(α,s) axis (abscissa) represents braking alone (i.e.,α = 0). The Fy(α,s) axis (ordinate) represents steeringalone (i.e., s = 0). Each point of the friction ellipse’sinterior is a point with slip values (α,s) for combinedsteering and braking that represents driver control,expressed mathematically by Eq 5. The point Fx(s)|s=1 =μxFz on the abscissa represents locked wheel skiddingfor braking alone. The point, Fy(α)|α= π/2 = μyFz, on theordinate represents a vehicle wheel sliding laterally. Notethat this formulation allows for different frictional dragcoefficients, μx and μy, in the x and y directions,respectively. Full sliding of the tire under any combinationof α and s occurs if the resultant tire force reaches thefriction ellipse, F(α,s) = μFz, where [Brach & Brach

(2000)] the frictional drag coefficient, μ is given by Eq 6.For a given normal force, Fz, points outside the frictionellipse cannot be reached because the friction force islimited by μFz. If μx = μy, then the tire force ellipsebecome a circle and the friction ellipse becomes afriction circle.

Model equations that determine the functionsFx(α,s) and Fy(α,s) for combined steering and braking(such as shown in Fig 3 as a tire force ellipse) must befound independently from the steering and brakingfunctions Fy(α) and Fx(s). This is done later. It isimportant to note that the friction ellipse is not a tiremodel. Rather, it is an idealized graphical display of theoperating limit for resultant tire forces for anycombination of steering and braking. More than onemethod exists for developing the resultant tire force forcombined steering and braking. One, The Nicolas-Comstock-Brach method, is shown in the next Section;others are given by [Pottinger, et al. and Schuring, et al.]and [Hirschberg].

SIMULATION TIRE MODELS

Different tire force models exist and at least onereview has been written [Gäfvert, M. and J. Svedenius],but the equations of the models most commonly used inthe field of accident reconstruction have not apparentlybeen cataloged. The following is a collection of theequations of tire force models used in three vehicledynamics simulation software packages common inaccident reconstruction.

VCRware Tire Model: The longitudinal and lateral tireforce equations for this simulation software are modeledusing a subset of the BNP equations [Pacejka]. Equation7 gives the longitudinal force, Fx(s), for braking alonewith no steering (α = 0). Figure 4 shows an example ofa normalized plot of the longitudinal tire force withexample BNP parameter values of u = s, B = 1/15, C =1.5, D = 1.0, E = 0.30, K = 100.0 and where the slope is

=Vyyp -V Rωx

x

V P Vy

z

=px

Vp

αω

V

R

y Vx

V

Figure 1. Wheel/tire velocities

xF

y

Vy

pV

-V Rωx

x

βF Fy

βp

Figure 2. Tire patch velocityand force components.

( )α,syF

μ FzxxF ( )1 =

yF π/2( ) μ Fzy=

xF s( ) ( )α,s

xF

yF ( )α

( )α,sF

( )α,sx

F

FrictionEllipse

β

Tire ForceEllipse

( )α,syF

Figure 3. Friction (Limit) Ellipse and Tire Force Ellipse.

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(3) (4)2 2

2 2

( ), ( ), , ( ), ( ), ,1

( ) ( )x x y y x y

x y

F F s F s F F s F sF s F

α α α αα

⎡ ⎤ ⎡ ⎤⎣ ⎦ ⎣ ⎦+ =22 ( , )( , )

12 2( ) ( )

F sF s yxF s Fx y

αα

α+ =

(5) (6)22 ( , )( , )

12 2 2 2F sF s yx

F Fz zx y

αα

μ μ+ < 2 2 2 2sin cos

x y

x y

μ μμ

μ α μ α=

+

(7){ }1 1( ) sin tan (1 ) tan ( )F s D C B E Ks E BKsx− −⎡ ⎤= − +⎢ ⎥⎣ ⎦

(8)2 21 1( ) sin tan (1 ) tan ( )F D C B E K E BKyα ααπ π

⎧ ⎫⎡ ⎤− −= − +⎨ ⎬⎢ ⎥⎣ ⎦⎩ ⎭

(9)2 2 2 2 2( ) ( ) (1 ) cos ( )

( , )2 2 2 2( ) ( ) tan

F s F s s C s F sx y a xF sx sCs F F sy x

α αα

αα α

+ −=

+

(10)

2 2 2 2 2(1 ) cos ( ) sin( ) ( ) tan( , )

sin2 2 2 2( ) ( ) tan

s F CF s F y sx yF sy Cs F F s sy x

α α αα αα

αα α

− +=

+

t h e b r a k i n gcoefficient Cs =BCDK. Equation 8gives the lateralsteering force,Fy(α), for nobraking (s = 0).Figure 5 shows as a m p l enormalized lateralforce with BNPparameter valuesof u = 2α/π: B = 8/75, C = 1.5, D = 1.0, E = 0.60, K =100.0 and the lateral stiffness coefficient is Cα = BCDK.

For a wheel with a braking force, Fx(s), and alateral force, Fy(α),the longitudinalforce for combineds t e e r i n g a n dbraking, Fx(α,s), isdetermined inVCRware usingt h e N i c o l a s -Comstock-Brach,(NCB) equations[Brach & Brach(2000) and Brach& Brach (2005)]. Itis given by Eq 9.For a wheel with a braking force, Fx(s), and a lateralforce, Fy(α), the lateral force for combined steering andbraking, Fy(α,s), is determined using the NCB equationand is given by Eq 10. When plotted on axes of Fx(s) andFy(α), the NCB equations take the form of a tire forceellipse such as in Fig 3 that depends on the functionsFx(s) and Fy(α). Three-dimensional surface plots of theVCRware tire model are illustrated in Appendix A.

Not all tire models have proper limiting behavioras the wheel slip, s, approaches its limits, 0 and 1, andas the sideslip angle, α, approaches its limits, 0 and π/2;such behavior must be verified. This is done for the NCBequations in Appendix B.

PC-Crash Linear Tire Force Model: PC-Crash allowsthe use of two tire models, the Linear Tire Force modeland the TM-Easy Tire Force model. The Linear Tiremodel can be described as follows.

Instead of using the wheel slip parameter, s, thePC-Crash simulation requires an input value of aconstant magnitude of applied braking force with a forcelevel, Fb, or an acceleration force magnitude, Fa. A forcespecified as a fraction of the wheel normal force canalternatively be supplied. For no steering the longitudinal

Longitudinal wheel slip, s0.0 0.2 0.4 0.6 0.8 1.0

Nor

mal

ized

long

itudi

nal f

orce

, Fx(

s)

0.0

0.2

0.4

0.6

0.8

1.0

1.2

Figure 4. BNP longitudinal force as afunction of wheel slip, s, VCRware.

sideslip, 2α/π0.0 0.2 0.4 0.6 0.8 1.0

nora

mliz

ed la

tera

l for

ce, F

y(α

)

0.0

0.2

0.4

0.6

0.8

1.0

1.2

Figure 5. BNP lateral tire force as afunction of normalized sideslip, 2α/π,VCRware.

Force

Lateral Sideslip Angle,α

Nor

mal

ized

Tir

e F o

rces

0.50α

00 αmax

0.251

π_6

π_3

Longitudinal

F( ,s)α μFz

0.75

C

1.0I

Lateral Force

Region II

απ_2

III

Figure 6. Diagram of longitudinal and lateral tire forces,PC-Crash.

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accelerating force,is specified as Fx= Fa, and thel o n g i t u d i n a lbraking force is Fx= -Fb. The PC-Crash vehicled y n a m i csimulation uses abilinear lateral tireforce as shown inFig 6. The initiall inear por t ionr e p r e s e n t s asideslip coefficient of Cα sometimes referred to as the sideslipstiffness.

The lateral force becomes constant at α = αmax,where the lateral force reaches its maximum value μFz.For the PC-Crash protocol, αmax = μα1

max, where α1max is

the saturation angle for μy = 1. For this notation, the tiresideslip coefficient is computed as Cα = μFz /α1

max. For nolongitudinal force, s = 0, (Fa = Fb = Fx = 0) the lateral tireforce is defined by Eq 11 and 12. For a wheel withbraking force Fx(α,s) = Fb the lateral force is computedusing the friction ellipse as given in Eq 13 where thelongitudinal force is adjusted for the condition of lockedwheel skidding as shown in Eq 14. For combinedsteering and braking, the PC-Crash Linear Tire Modelcan be described in three regions (see Fig 6). Region Iis when the side force increases linearly with α, Eq 15.Region II is when the side force is said to be saturatedand the lateral force is computed using the frictionellipse, Eq 16. Finally, Region III is for locked wheelsliding, as shown in Eq 17. These regions are shown inFig 6 and are plotted on the friction ellipse in Fig 8. Asthe sideslip angle, α, increases from 0 to αmax, Fy(α,s)goes from (0,0) to point A. The magnitude of the lateralforce, Fy(α,s), at point A is determined by Fb and Eq 16.Note that in Region II, while the sideslip angle increasesfrom αmax to some value greater than αmax as shown inFig 7, the resultant force at the patch does not change.Thus Region II, for which α varies from αmax to somevalue greater than αmax, is concentrated at a single point,B, on the tireforce diagram in Fig 8. In Region III Fy(α,s)goes from point B to point C (as α continues to increase)along the friction ellipse. From Eq 17 note that for RegionII (point B), Eq 18 is satisfied. All of this implies thatthroughout Region II the PC-Crash Linear tire forcemodel gives a lateral force at the friction limit. Althoughthe direction of Fy(α,s) is along the slip direction, themagnitude of the resultant tire force is equal to a fullyskidding tire, μFz. A plot of Fy(α,s) for the PC-Crash tiremodel is given in Appendix A.

TM-Easy Tire Model [Hirschburg, et al.]: The TM-Easymodel is developed for three dimensional vehicle motion.However all of the following discussion is for zerocamber and negligible contact moments. According tonotes on vehicle dynamics [Rill]. TM-Easy defineslongitudinal slip and lateral slip different than above.

Longitudinal slip, sx, is defined as in Eq 19. TM-Easylateral slip is defined as in Eq 20. The consequences ofnormalizing slip to the wheel angular velocity is for TM-Easy that 0 # sx # 4, 0 # sy # 4 and (for combinedsteering and braking) that sx and sy are coupled to s (Eq2) and α (Eq 1), as given in Eq 21 through 25. The TM-easy model specifies that beyond a certain, finite valueof slip sxf, full sliding occurs. The model can characterizea maximum longitudinal force by specifying maximumvalues of the force with its corresponding slip (sxm, Fxm).Figure 9 shows the longitudinal force Fx as a function ofthe longitudinal slip sx. A full description of the modelrequires that three pieces of information be provided todefine the shape of the Fx(sx) curve: an initial slope, Cx,

(11)1( ) / maxF Fzy α μ α μα= −

αmax < α < π/2:(12)( )F Fzy α μ=

(13)2 2( , ) min , ( ) ( , )max

F s F F F sz zy xαα μ μ α

α⎡ ⎤

= −⎢ ⎥⎣ ⎦

(14)( , ) min , cosF s F Fzx bα μ α⎡ ⎤= ⎣ ⎦

(15)( , )max

F s Fzyαα μ

α=

(16)2 2( , ) ( )F s F Fzy bα μ= −

(17)( , ) sinF s Fzy α μ α=

(18)2 2( , )F s F Fzy bα μ+ =

the maximum value of the force and its associated slipvalue (sxm, Fxm), and the value of the force at full slidingand its associated slip value (sxf, Fxf). The curve for thelateral force, Fy(sy), can similarly be defined using slope,Cy, maximum parameters (sym, Fym) and full-slidingparameters (syf, Fyf).

The process outlined above defines the shape ofthe curve for the longitudinal force in the absence of

( )αFy

0Lateral Slip Angle, α

1

= μα1maxmaxα π /2

Fzμ

Late

ral T

ire

Forc

e, F

Figure 7. Lateral tire force, LinearTire Model, PC-Crash.

bF

EllipseFriction

CIII

IIB

μyFz

Fy ( )α,s

μxFz ( )α,sx

F

Braking

(0,0)

IRegion

A

Figure 8. Diagram of lateral and longitudinal tire forcesfor combined steering and braking, PC-Crash.

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lateral slip, Fx(sx), and the curve for the lateral force inthe absence of longitudinal slip, Fy(sy). The force forcombined braking and steering, F(sx,sy), is formulated bythe TM-Easy model through the following process. Ageneralized slip variable, sxy, which treats the longitudinaland lateral slip vectorially, is defined by Eq 26 wherequantities and are normalized slip variables and xs ys

are defined by Eq 27 and 28. Equations 29 through 34define additional parameters. A generalized tire force,F(sx,sy) is now described in each of the three intervals bya broken rational function, a cubic polynomial and aconstant Ff and given in Eq 35, 36 and 37. Finally, thelongitudinal and lateral force components, Eq 38 and 39;these are determined individually from the projections inthe longitudinal and lateral directions, using n, given byEq 34. Three-dimensional surface plots of thelongitudinal and lateral tire forces for combined steeringand braking for the TM-Easy model are given inAppendix A.

SMAC Tire Model [HVE and m-smac]: For braking,SMAC does not use the wheel slip variable, s, but thesimulation user is asked to specify the value of aconstant braking force, T, which can be defined as apercentage of the available friction force at each wheel.The longitudinal tire force, Fx, is given by Eq 40 through44 for the different variations of braking and acceleration.

(19) (20)Vpxsx Rω=

Vysy Rω=

(21) (22)( , )V V Rpx xs s sx y V Vx x

ω−= = ( , ) 1

1sR R xs s sx y V R s R R spx x x

ω ωω ω ω

= − = =+ + +

(23) (24)1 1( , ) tan tan ( )1

v sy ys sx y v R sx xα

ω⎛ ⎞− −= =⎜ ⎟⎜ ⎟+ +⎝ ⎠

( , )1

ss sx sα =

(25) (26)tan( , )1

s sy sαα =

22 ss yxsxy s sx y

⎛ ⎞⎛ ⎞⎜ ⎟= +⎜ ⎟ ⎜ ⎟⎝ ⎠ ⎝ ⎠

(27) (28)/

/ /s F Cxm xm xsx s s F C F Cxm ym xm x ym y

= ++ +

/

/ /

s F Cym ym ysy s s F C F Cxm ym xm x ym y= +

+ +

(29) (30)( )22

cos sinC C s C sx yx yϕ ϕ⎛ ⎞= + ⎜ ⎟⎝ ⎠

22cos sin

ss ymxmsm s sm mϕ ϕ

⎛ ⎞⎛ ⎞= + ⎜ ⎟⎜ ⎟ ⎜ ⎟⎝ ⎠ ⎝ ⎠

(31) (32)( ) ( )22cos sinF F Fm xm ymϕ ϕ= +

2 2

cos sins sfx fys f s sx y

ϕ ϕ⎛ ⎞ ⎛ ⎞⎜ ⎟ ⎜ ⎟= +⎜ ⎟ ⎜ ⎟⎝ ⎠ ⎝ ⎠

(33) (34)( ) ( )2 2cos sinF F Ff xf yfϕ ϕ= +

//cos and sin

s ss s yx yxs sxy xy

ϕ ϕ= =

(35)( ) , , 01 2

, xymx y xy m

mmf

m

ssF s s ss s

F F

Cs σσ

σ σ⎛ ⎞⎜ ⎟⎜ ⎟⎜ ⎟⎝ ⎠

= = ≤ ≤+ + −

(36)2( , ) ( ) (3 2 ), ,s sxy mF s s F F F s s sx y m m m xyf fs smf

σ σ σ−

= − − − = ≤ ≤−

(37)( , ) ,F s s F s sx y xyf f= >

(38) (39)( , ) ( , )cosF s s F s sx x y x y ϕ= ( , ) ( , )sinF s s F s sy x y x y ϕ=

F ( )xsx

s mF ( )xxs fF ( )xx

Slope =

sxm sxf

Cx

sx

Full Sliding

Figure 9. Longitudinal tire force, TM-Easy model.

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sideslip angle, α0.0 0.4 0.8 1.2 1.6

late

ral f

orce

, Fy(α

)/μF z

0.0

0.2

0.4

0.6

0.8

1.0

1.2

Cα/μFz = 5

Cα/μFz = 10

Cα/μFz = 15

Cα/μFz = 20

Figure 10. Lateral tire force as a function of sideslip,SMAC.

For the lateral force, SMAC uses anondimensional variable , Eq 45, based on the Fialaβtire model [EDSMAC, Brach & Brach (2005)] and definesthe lateral force Fy(α) by Eq 46 and 47. Fy(α) is plotted inFig 10 for typical values of Cα 'μFz.

For a wheel simultaneously steered (α > 0) and

braked (T > 0) the longitudinal tire force, Fx(α,s), iscomputed by Eq 48 or 49, where the latter casecorresponds to locked wheel skidding. For combinedbraking and steering, the lateral tire force, Fy(α,s), iscomputed using the longitudinal force, , newly definedβby Eq 50 and the friction ellipse. Then for , Eq 51 or 52βgive Fy(α,s). Equation 52 implies that for the3β ≥

resultant tire force lies on the friction ellipse, as given byEq 53 and that the SMAC tire force model gives a lateralforce at the friction limit for combined steering andbraking (before locked wheel sliding occurs). Althoughthe direction of the lateral force, Fy(α,s), is along theslipdirection, the magnitude of the resultant tire force equalsthat of a fully skidding tire.

For braking:T = 0 (s = 0), Fx(T) = 0 (40)0 < T # µ Fz, Fx(T) = -T (41)T > µFz, Fx(T) = -µ Fz (42)

For acceleration|T | # µ Fz, Fx(T) = T (43)|T | > µ Fz, Fx(T) = µ Fz (44)

(45)( )2 2

C

Fz

ααβ β αμ

= =

For , (46)3β <3

( )3 27

F Fzyβ β βα μ β

⎡ ⎤= − +⎢ ⎥

⎢ ⎥⎣ ⎦

For , (47)3β ≥ ( )F Fzy α μ=

For (48)( ) cos , ( , )F T F F s Tzx xμ α α≤ =For (49)( ) cos , ( , ) cosF T F F s Fz zx xμ α α μ α> =

(50)( )2 2 2( , )

C

F F sz x

ααβ β αμ α

= =−

For ,3β <

(51)1 12 2 2 3( , ) ( , )3 27

F s F F szy xα μ α β β β β⎛ ⎞= − − +⎜ ⎟⎝ ⎠

For ,3β ≥

(52)2 2 2( , ) ( , )F s F F szy xα μ α= −

(53)2 2( , ) ( , )F s F s Fzx yα α μ+ =

A three-dimensional surface plot of the SMAC Fy(α,s)using Eq 51 through 53 is included in Appendix A.

SIMON Tire Model [HVE]: SIMON [EDC] uses a semi-empirical tire model which is based upon the HSRI tiremodel [MacAdam, et al.]. The principle behind the HSRItire model is that the tire forms a rectangular contactpatch which can be divided into two regions, consistingof a no-slip region and a sliding region. The relative sizeof the two regions is dependant upon the longitudinaland lateral slip values, s and α, the sliding frictional dragcoefficient, μ, and the initial slopes, Cs and Cα, of thelinear tire force curves,.

The first step in determining the SIMON tireforces is to determine an equivalent frictional dragcoefficient, μN, that depends on the slip, s, and iscalculated from the directional sliding frictional dragcoefficients, μx and μy The coefficient, μN is found usinga fitting procedure whereby,

(54)2(1 ) (1 )a s sp p= − +

(55)( )(1 ) ( 2) (2 1)b s s sp x p p pμ μ= − + − +

(56)( )c x p xμ μ μ= −

(57)2 4

2b b acB

a− + −

=

(58)A Bxμ= +

(59)(1 )C B sx pμ= + −

and(60)' A Bsμ = −

In these equations, μp is the ratio of longitudinal tire forceFx(s)max/Fz and sp is the slip at Fx = Fx(s)max. A variable Dtis defined as,

(61)2 2( ) ( sin )t sD C s Cα α= +where s is the longitudinal tire slip and α is the sideslipangle. After calculating μN, a fraction, Xs/L, representingthe portion of the total contact patch that is not slipping,where L is the length of the rectangular tire patch, isdefined as:

(62)' (1 ), 0 1

2X XFs sz sL D Lt

μ= − ≤ ≤

The equations for combined steering andbraking/acceleration follow. The equations for steering

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Xs /L = 1:

(63)( , )1

sF s Cx s sα =

(64)sin

( , )1

CF sy s

ααα = −−

Xs /L < 1:

(65)2

'( , ) (1 ) ' 12 2 2sin

XF sszF s C s s Fzx s D Lt s

μα μα

⎛ ⎞⎛ ⎞ ⎛ ⎞⎜ ⎟= − + −⎜ ⎟ ⎜ ⎟⎜ ⎟ ⎜ ⎟⎝ ⎠⎝ ⎠ +⎝ ⎠

(66)2

' sin( , ) sin (1 ) ' 12 2 2sin

XF szF s C s Fzy D Lt s

μ αα α μαα

⎛ ⎞⎛ ⎞ ⎛ ⎞⎜ ⎟= − − − −⎜ ⎟ ⎜ ⎟⎜ ⎟ ⎜ ⎟⎝ ⎠⎝ ⎠ +⎝ ⎠

alone and braking alone can be found by substituting s= 0 and α = 0 into the equations, respectively. Forcombined braking and steering, three-dimensionalsurface plots of Fx(α,s) and Fx(α,s) are in Appendix A.

The sine functions in the range -π # α # π asused in the above equations for the SIMON model werechanged from tangent functions in the original HSRImodel. EDC is now investigating the full effects of thischange. In addition, various empirical curves frommeasured tire parameters are built into the HVE softwarethat make the tire characteristics tire specific andfunctions of load and speed. However, the user has theability to enter other tire characteristics or to use setuptables based upon a specific tire tests. The fullSIMON tire model considers the effects that camberstiffness has on the lateral tire forces.

DISCUSSION AND CONCLUSIONS

The primary purpose of this paper is todemonstrate that different tire models exist, to describethem in as much detail as possible and to indicate whichsimulation programs (used in accident reconstructionapplications) use which tire models.

Alternative methods exist [Kiefer, et al., 2005,2007] to estimate the combined effects of initialtranslational and rotational velocities on the trajectory ofa vehicle to rest following impact that do not use tireforce models. Such methods do not have the potential ofsimulating different tire properties and accidentreconstruction conditions such as partial braking,powertrain drag, rolling wheel drag and/or the effects ofan individually locked wheel or wheels. It is necessary touse a vehicle dynamic simulation program for modelingsuch conditions. Despite the greater potential foraccuracy, the uncertainty due to different tire modelsused in the simulation software cannot be overlooked.Differences do exist. All other things being equal, themore accurate the tire model, that is, the closer the tiremodel is to experimentally measured tire performance,the more accurate the simulation. In this paper, tiremodels that incorporate the wide ranges of s and αtypically found in accident reconstruction applications arepresented. Any differences in simulation results can be

described as model uncertainty. If all of the simulationscontain identical Newton’s equations of motion andintegrate them with the same precision. The modelinguncertainty can be attributed primarily to the tire models,although differences in modeling of other componentsmay exist.

Tire Force Models: For combined braking and steeringof an individual wheel, the PC-Crash Linear Tire Forcemodel is based on the process of first specifying thelongitudinal (braking or accelerating) force, representingthe lateral (steering) force with a bilinear curve and theuse of the friction ellipse to compute the resultant tireforce. For combined braking and steering of an individualwheel, the SMAC tire force model (both EDSMAC4 andm-smac) is based on the process of first specifying thelongitudinal (braking or accelerating) force, using theFiala model for the lateral (steering) force and the use ofthe friction ellipse to compute the resultant tire force forcombined steering and braking. The VCRware tire forcemodel uses BNP equations with different parameters forthe longitudinal and lateral forces and then uses the NCBequations for combined steering and braking. PC-crashallows the use of the Linear Tire Model or an alternativecalled the TM-Easy Model. The TM-Easy Model is basedon a resultant wheel slip vector for combined steeringand braking. The SIMON tire force model is based on amodified HSRI Tire Model.

For the tire models covered in this paper twocategories can be established. One category uses aspecified level of braking (or acceleration) to establishthe longitudinal tire force and the friction ellipse tocalculate the combined longitudinal and lateral tire forcecomponents for combined steering and braking (PC-Crash Linear and SMAC Tire Models). The secondcategory uses the direction of the wheel slip vector orslip velocity at the tire patch to determine the longitudinaland lateral tire force components for combined steeringand braking (VCRware, PC-Crash TM-Easy and SIMONtire models). Within each category, however, thesemodels use different forms of equations to model thelateral tire forces (for no braking).

It was shown that for relatively low sideslipangles, the use of the friction ellipse as part of the tiremodel produces resultant forces equal in magnitude to a

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fully sliding tire. Some [Gäfvert & Svedenius] object tothis feature because it is thought it introduces the frictionlimit force (sliding force) before sliding occurs. However,the use of the friction ellipse can actually under-predictactual combined tire forces. This is because theperformance of models also depends on the functionsused to represent the steering-alone and braking-alonecurves, Fx(s) and Fy(α). Experimentally measured tireforces [Salaani] almost always exceed the locked-wheelskid force, μFz, over some (early) regions of slip. Figure11 is a plot of normalized BNP-NCB combined tire forces(which reflect measured characteristics) plotted on thefriction ellipse coordinate system. The “friction ellipse”corresponding to the BNP-NCB tire forces is the locus ofpoints of the curves for all values of α that lie a maximumradial distance from the origin (0,0). The friction ellipsefor combined forces whose Fx(s) and Fy(α) tire forcecurves do not exceed μFz is given by the dashed curvein Fig 11. As seen, the idealized friction ellipse can resultin combined tire forces well below measured values.

It is clear that the mathematical complexity of thedifferent tire models varies considerably. This feature incombination with a comparison of the models toexperimental data should determine which modelprovides a more accurate prediction of the tire forces.

ACKNOWLEDGMENTS

The authors appreciate the cooperation of MEA ForensicEngineers and Scientists and for providing data,information and guidance with respect to the PC-Crashlinear tire model. The assistance of Terry Day ofEngineering Dynamics Corporation is also gratefullyappreciated. Finally, Prof. Dr. Georg Rill provided helpand information with the formulation of the TM-Easy tiremodel.

The assistance of Ron Jadischke, McCarthyEngineering, is gratefully acknowledged for formulatingthe equations of the SMAC and SIMON models.

REFERENCES

ADAMS,http://www.mscsoftware.com/products/adams.cfm

Allen, R. W., R. Magdeleno, T. Rosenthal, D. Klydeand J. Hogue, “Tire Modeling Requirements forVehicle Dynamics Simulation”, Paper No. 950312,SAE, Warrendale, PA, 1995.

Brach, Raymond and Matthew Brach, “Tire Forces:Modeling the Combined Braking and Steering Forces”,Paper 2000-01-0357, SAE, Warrendale, PA, 2000.

Brach, Raymond and Matthew Brach, Vehicle AccidentAnalysis and Reconstruction Methods, SAE,Warrendale, PA, 2005.

Car-Sim, http://www.carsim.com/

Daily, J., N. Shigemura and J. Daily, Fundamentals ofTraffic Crash Reconstruction, Volume 2 of the TrafficCrash Reconstruction Series , IPTM, Jacksonville, FL,2006.

EDC, (Engineering Dynamics Corporation, SIMONSimulation Model, 5th Edition”, January 2006.

Fricke, L., (1) Traffic Accident Reconstruction,Northwestern University , Evanston, IL, 1990.

Fricke, L., (2) Traffic Accident Reconstruction, Volume2, Traffic Accident Investigation Manual,Northwestern University , Evanston, IL, 1990.

Gäfvert, M. and J. Svedenius, “Construction of NovelSemi-Empirical Tire Models for Combined Braking andCornering”, ISSN 0280-5316, Lund Institute ofTechnology, Sweden, 2003.

Guo, Konghui and Lei Ren, “A Unified Semi-EmpiricalTire Model With Higher Accuracy and LessParameters”, Paper 1999-01-0785, SAE International,Warrendale, PA, 1999.

Han, I. and S-U Park, Inverse Analysis of Pre- andPost-Impact Dynamics for Vehicle AccidentReconstruction, Vehicle System Dynamics, V 36, 6, pp413-433, 2001.

Hölscher, H., M. Tewes, N. Botkin, M. Lohndorf, K-H.Hoffman, and E. Quandt - Modeling of Pneumatic Tiresby a Finite Element Model for the Development of aTire Friction Remote Sensor, preprint submitted toComputers and Structures.

Fx(α,s)/μxFz

0.0 0.2 0.4 0.6 0.8 1.0 1.2

F y(α

,s)/μ

yFz

0.0

0.2

0.4

0.6

0.8

1.0

1.2

α = 0.9o

α = 1.8o

α = 3.6o

α = 5.4o

α = 7.2oα = 9.0o

α = 13.5o

α = 18.0o

IdealizedFriction

Ellipse

Figure 11. Normalized BNP-NCB combined tire forces(solid curves) and the normalized friction ellipse (dashedcurve) for μx = μy.

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Hirschberg, W., G. Rill and H.Weinfurter,"User-Appropriate Tyre-Modelling for VehicleDynamics in Standard and Limit Situations," VehicleSystems Dynamics, Vol. 38, No. 2, pp 103-125.

HVE, http://www.edccorp.com/products/hve.html

Keifer, O., P. Reckamp, T. Heilmann and P. Layson,“A Parametric Study of Frictional Resistance toVehicular Rotation Resulting From a Motor VehicleImpact”, Paper 2005-01-1203, SAE, Warrendale, PA,2005.

Keifer, O., P. Conte and B. Reckamp, Linear andRotational Motion Analysis in Traffic CrashReconstruction, IPTM, Jacksonville, FL, 2007.

MacAdam, C., P. S. Fancher, T. H. Garrick, T. D.Gillespie, “A Computerized Model for Simulating theBraking and Steering Dynamics of Trucks, Tractor-Semitrailers, Doubles and Triples Combinations”,Highway Safety Research Institute., The University ofMichigan (UM-HSRI-80-58).

Martinez, J. E. and R. J. Schleuter, A Primer on theReconstruction and Presentation of RolloverAccidents, Paper 960647, SAE International,Warrendale, PA, 1996.

McHenry, R., “Computer Program for Reconstructionof Highway Accidents”, Paper 730980, SAEWarrendale, PA, 1973

m-smac, http://www.mchenrysoftware.com

Orlowski, K. R., E. A. Moffatt, R. T. Bundorf and M. P.Holcomb, “Reconstruction of Rollover Collisions”,Paper 890857, SAE International, Warrendael, PA,1987.

Pacejka, Hans, Tire and Vehicle Dynamics, SAE,Warendale, PA, 2002.

PC-Crash,http://www.meaforensic.com/technical/pc_crash.html

Pottinger, M. G., Pelz, W., and Falciola, G.,"Effectiveness of the Slip Circle, "Combinator", Modelfor Combined Tire Cornering and Braking ForcesWhen Applied to a Range of Tires", SAE Paper982747, Warrendale, PA 15096.

Rill, G, Vehicle Dynamics Lecture Notes, University ofApplied Sciences, Hochschule für Technik WirtschaftSoziales, Germany, 2007.

Salaani, K., “Analytical Tire Forces and MomentsModel with Validated Data”, Paper 2007-01-0816, SAEInternational, Warrendale, PA, 2007.

Segal, J. Highway Vehicle Object Simulation Model, 4Volumes (Users Manual, Programmers Manual,Engineering Manual-analysis, and EngineeringManual), 1422 pgs, Calspan Corporation, 1976.

Schuring, D. J., Pelz, W, Pottinger, M. G., 1993, "AnAutomated Implementation of the ’Magic Formula’Concept", SAE Paper 931909, Warrendale, PA 15096.

Tönük, E. and Y. S. Ünlüsoy, “Prediction of automobiletire cornering force characteristics by finite elementmodeling and analysis”, Computers and Structures, 79(2001), pp1219-1232.VCRware,http://www.brachengineering.com/menu.swf

VDANL,http://www.systemstech.com/content/view/32/39/

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* This is true only when the longitudinal and lateral tire forces do not exceed µFz. As shown in this paper in Figure11, actual combined resultant tire forces can lie outside the idealized tire force ellipse.

Appendix A. Three-dimensional plots of Tire Forces of Different Models

Criteria have been published for the proper formulation and performance of tire models for combined steering andbraking [Gäfvert, M. and J. Svedenius, Brach & Brach,2000]. These are:

1. The combined force functions, Fx(α,s) and Fy(α,s), should preferably be constructed from pure slip models,Fx(s) and Fy(α), with few additional parameters.2. The computations involved in the models must be numerically feasible and efficient.3. The formulas should preferably be physically motivated.4. The combined force functions, Fx(α,s) and Fy(α,s), should reduce to Fx(s) and Fy(α), for pure cornering orbraking,5. Sliding must occur simultaneously in longitudinal and lateral directions.6. The resulting force magnitudes should stay within the friction ellipse*.7. The combined force components should become Fx(s) = μxFz cos α and Fy(α) = μyFz sin α for conditions oflocked wheel skidding.

With these in mind, three-dimensional surface plots of the forces (for combined braking and steering) from the differenttire models are presented below. Note that some do not meet all of the above criteria.

Figures 12 through 19 are surface plots of the normalized tire forces for combined braking and steering for all of themodels covered in this paper. Figures 12 and 13 are for the BNP-NCB tire model used by VCRware. Figure 14 showsthe lateral force from PC-Crash Linear Tire model for values for 0 # Fb/μFz # 1 and for 0 # α # π/2. Figure 15 showsthe normalized lateral force from SMAC for 0 # T/μxFz # 1 and for 0 # α # π/2. The longitudinal forces for these modelsare not plotted since braking forces are specified as input to the program rather than being calculated as a functionof wheel slip. Figures 16 and 17 are the longitudinal and lateral tire forces from the SIMON model. Figures 18 and 19are the longitudinal and lateral tire force models from the TM-Easy Tire model.

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wheel slip, s sideslip angle, α

F x(α

,s)/μ

F z

0.00.2

0.40.6

0.81.0 0.0

0.40.8

1.21.6

0.00.2

0.40.6

0.8

1.0

1.2

Figure 12. Normalized longitudinal tire force forcombined braking and steering, VCRware.

sideslip angle, α wheel slip, s0.0

0.40.8

1.2

0.00.2

0.40.6

0.81.0

0.0

0.2

0.4

0.6

0.8

1.0

1.2

F y(α

,s)/μ

F z

Figure 13. Normalized lateral tire force forcombined braking and steering, VCRware.

sideslip angle, α braking force0.0

0.40.8

1.21.6 0.0

0.20.4

0.60.8

1.0

0.00.2

0.4

0.6

0.8

1.0

1.2

F y(α

,s)/μ

F z

level, Fb/μFz

Figure 14. Normalized lateral tire force forcombined braking and steering, PC-Crash LinearTire Model.

longitudinal slip, s sideslip angle, α

F x(α

,s)/μ

Fz

0.00.2

0.40.6

0.81.0

0.00.4

0.81.2

1.6

0.00.20.40.6

0.8

1.0

1.2

Figure 16. Normalized longitudinal tire force forcombined braking and steering, SIMON.

lateral slip angle, α longitudinal slip, s

F y(α

,s)/μ

Fz

0.00.4

0.81.2

1.60.0

0.20.4

0.60.8

1.0

0.00.20.40.6

0.8

1.0

1.2

Figure 17. Normalized lateral tire force for combinedbraking and steering, SIMON.

longitudinal slip, s sideslip, α

F x(α

,s)/μ

F z

0.00.20.40.60.81.00.0

0.40.8

1.21.6

0.00.20.40.60.81.01.2

Figure 18. Normalized longitudinal tire force forcombined braking and steering, TM-Easy.

sideslip, α longitudinal slip, s

F y(α

,s)/μ

F z

0.00.4

0.81.2

1.60.0

0.20.4

0.60.8

1.0

0.00.20.4

0.6

0.8

1.0

1.2

Figure 19. Normalized lateral tire force forcombined braking and steering, TM-Easy.

sideslip angle, α braking force0.0

0.40.8

1.21.6 0.0

0.20.4

0.60.8

1.0

0.00.20.4

0.60.8

1.0

1.2

T / μFzF y

(α,s)

/μF z

Figure 15. Normalized lateral tire force forcombined braking and steering, SMAC.

Page 14: Tire models used in accident reconstruction vehicle motion ... · software for reconstruction of accidents. ... dynamics models in the field of accident reconstruction ... accident

Appendix B. Limiting behavior of the Nicolas-Comstock-Brach combined tire force equations

Not all tire models have proper limiting behavior as the wheel slip, s, approaches its limits, 0 and 1, and as the sideslipangle, α, approaches its limits, 0 and π/2. Such behavior must be verified. The Nicolas-Comstock-Brach (NCB)equations are given above as Equations 9 and 10. A unique and remarkable feature of these equations is that theycan be used to provide the combined tire forces, Fx(α,s) and Fy(α,s), for any pair of longitudinal and lateral tire forceequations, Fx(s) and Fy(α), respectively. In this appendix, the NCB equations are examined to ensure that the combinedtire forces have the proper limiting behavior as s ̧ 0,1 and α ̧ 0,π/2. These limiting conditions are not unique to theNCB model. All combined-force tire models should satisfy these conditions.

Specifically, eight limiting cases are identified:1. as s ¸ 0, Fx(α,s) ¸ 0, 5. as s ¸ 0, Fy(α,s) ¸ Fy(α)2. as s ¸ 1, Fx(α,s) ¸ μx Fz cosα, 6. as s ¸ 1, Fy(α,s) ¸ μyFz sinα3. as α ¸ 0, Fx(α,s) ¸ Fx(s), 7. as α ¸ 0, Fy(α,s) ¸ 04. as α ¸ π/2, Fx(α,s) ¸ 0, 8. as α ¸ π/2, Fy(α,s) ¸ μyFz

Case 1. For s ~ 0, (1 - s2) ~ 1 and Fx(s) ~ Cs s. From Eq 9

(B-1)2 2 2

0 2 2 2

( ) cos( , ) | 0

( ) tany s

x s

y s

F C CF s s

CF Cα

α

α αα

α α→

+= =

+

Case 2. For s = 1 (locked wheel skidding), Fx(s)|s=1 = μ Fz. From Eq 9a. For large α, Fy(α) ~ μ Fz. From Eq 9

(B-2)2

1 2 2 2 2 2 2

cos( , ) | coscos sin

z zx s z

z z

CF FF s FCF F

α

α

μ μ αα μ αμ α μ α

→ = =+

b. For small α, cos α ~ 1, sin α ~ α and Fy(α) ~ Cα α. For Cα >> μ Fz

(B-3)1 2 2

2

1( , ) | ~1

x s z z

z

F s F FF

α μ μμ

→ =

+

Case 3. As α ¸ 0, Fy(α) . Cα α, tan α ~ α, cos α ~ 1. From Eq 9

(B-4)2 2 2 2

0 2 2 2

(1 ) ( )( , ) | ( )

( )x

x x

x

s C s F sF s F s

s C F sα

α

α

α →

+ −=

+

a. For s << 1 (B-5)0( , ) | ( )x xF s F sαα → =

b. For large s (s ~ 1) and μx Fz << Cα

(B-6)0 2

2

( )( , ) | ~1

xx z

x z

F sF s FF

C

α

α

α μμ

→ =

+

Case 4. As α ¸ π/2, cos π/2 = 0, tan π/2 ¸ 4 from Eq 9

(B-7)/ 2 2 2 2 2 2

( )( , ) | 0

( ) tanx y z

x

y z x

F s F sF s

s F F sα π

μα

μ α→ = =

+

Page 15: Tire models used in accident reconstruction vehicle motion ... · software for reconstruction of accidents. ... dynamics models in the field of accident reconstruction ... accident

longitudinal wheel slip, s0.0 0.2 0.4 0.6 0.8 1.0

long

itudi

nal f

orce

, Fx(α

,s)

0.0

0.2

0.4

0.6

0.8

1.0

1.2

α = 0o

α = 10o

α = 30o

α = 50o

α = 70o

α = 90o

Figure 21. Combined longitudinal force, BNP-NCB model.sideslip angle, 2α/π

0.0 0.2 0.4 0.6 0.8 1.0

late

ral f

orce

, Fy(α

,s)

0.0

0.2

0.4

0.6

0.8

1.0

1.2

s = 0

s = 0.2s = 0.4

s = 0.6s = 0.8

s = 1.0

Figure 20. Combined lateral force, BNP-NCB model.

Case 5. As s ¸ 0, Fx(s) ~ Cs s. From Eq 10

(B-8)( )

2 2 2

0 2 2 2 2 2

( ) tan( )( , ) | ( )

tany ss y

y s ysy s

F CC s FF s F

Cs F C s

α ααα α

α α→

+= =

+

Case 6. as s ¸ 1, Fx(s) = μ Fz. From Eq 10

(B-9)1 2 2

2 22

1( , ) | sincos sin

( )

y s z

z

y

F s FF

F

α μ αμα α

α

→ =

+

a. For small α, cos α ~ 1, sin α ~ α, Fy(α) ~ Cα α and Cα >> μ Fz

(B-10)1( , ) | siny s zF s Fα μ α→ =

For large α, Fy(α) ~ μ Fz and

(B-11)1( , ) | siny s zF s Fα μ α→ =

Case 7. For α ¸ 0, Fy(α) = Cα α. From Eq 10

(B-12)2 2 2

0 2 2 2

(1 )( )(0, ) | 0( )

sxy

sx

s C CF s CF sCs C F s

ααα

α

α→

− += =

+

since as α ¸ 0, the numerator ¸ 0 but the denominator is bounded.

Case 8. For α ¸ π/2, Fy(α) ¸ μFz. From Eq 10 (B-13)/ 2( , ) |y zF s Fα πα μ→ =

The combined NCB forces are shown in Figures 20 and 21 for generic BNP forces and for the full range of wheel slip,s, and sideslip, α: