When developing vehicle physics the tire is the single component that has the most influence in the entire system. When designing a tire simulation the Pacejka Curves arise sooner or later.

#### What’s “Pacejka” exactly?

First of all, the Pacejka Magic formula, also called simply Magic Formula “MF” or “MF-tyre”, is a function *y=f(x)* which is used to predict and simulate the forces exerted by a tire. Given an input *x* and a list of coefficients (*b0..b12* in the picture), the function calculates the force *y* exerted by the tire. Three different functions are used, one for longitudinal forces, other for lateral forces, and the last one for the self-aligning torque (the feedback force you experiment on your car’s steering wheel). Each function has its own set of coefficients.

The coefficients affect the final shape of the curve in a wide variety of ways (see the pic). The goal is **matching the results obtained in the empiric experiments** on the specific tire the curve is being calculated for. Once the proper coefficients for the curve are found, the behavior of that tire can be easy and realistically predicted without having to actually use the real tire. One can imagine using a tire testing facility, testing a specific tire in a wide variety of conditions and measuring the results. Then, based on those results, one could start toying with the coefficients of the Pacekja curves until getting shapes that acceptably match the experimental results.

The ** magic** behind the Magic Formula is that the coefficients are calculated from specific measures on isolated excitation tests performed on the tire. Instead of testing the tire in a broad range of conditions and then “randomly” toying with the parameters of the curve for fitting the results, all that you need is to gather some

*specific measures*from the tire under controlled conditions. Voila! You get the coefficient set for the Pacejka curves that will magically predict the real behavior of the tire in almost all conditions.

#### What about the coefficient sets for Pacejka curves?

Pacejka and other models are developed by and for the automotive industry. Real coefficient sets are scarce and hard to find, as they are heavily protected intellectual data. Tire manufacturers sell the coefficient sets to interested customers who can then predict how a specific tire would behave in a vehicle without actually testing it (the MSC Adams software is an industry-standard for modelling this kind of simulations). A Pacejka coefficient set for a single tire model can easily cost around $1000-1500.

You may find many Pacejka sets over there (for instance as part of the car add-ons for the Racer.nl simulator). But most of them are not *real* Pacejka sets as they haven’t been calculated based on measures on the real tires. Anyone can use a Pacejka editor and get an arbitrary set of coefficients. For that, the Pacejka formula is a realistic and flexible method for simulating an *imaginary* tire based on the behavior expected in a simulated vehicle.

I’ve written a document which describes how each Pacejka coefficient affects the resulting curve. This is useful for designing tire friction curves matching a specific gameplay in vehicle simulation games.

#### Is Pacejka a necessary or best method for simulating wheels in video games?

Surprisingly, the curves themselves are not the most important part for simulating wheels. Remember, a Pacejka curve is just a trigonometric function *y=f(x)*. Any function with similar shape (peak – asymptote) will work. It could result more or less realistic, but even a clamped slope will do a decent work.

The crucial component for simulating a wheel is *how* are you calculating the parameters you will feed the curves with. The “x” in *y=f(x)*. And here, my friend, is where we begin talking seriously.

#### What are the problems with the Pacejka-based methods?

Pacejka and other models are based on the amount of *slip* of the tire over the ground. The longitudinal version uses the difference between the tire’s angular velocity and the actual velocity over the ground (** slip ratio**). The lateral version is based on the angle between the wheel’s heading direction and the true movement direction (

**).**

*slip angle*However the *slip ratio* is a tricky concept. Having slip doesn’t mean that the tire is sliding over the ground. The slip ratio reflects the fact that the drive wheels compress the tire at the front of the contact patch where the radius of the wheel is smaller, so it effectively travels faster than the ground underneath. A portion of the contact patch is adherent to the surface while the other portion is slipping. This *slip ratio* generates the force that moves the car. *In a car cruising at constant speed the drive wheels will be spinning a bit faster than the non-drive wheels.*

There are several different definitions for slip ratio and slip angle available. These ones are a commonly used definition borrowed from the great book from Brian Beckman *The Physics Of Racing*:

ω angular velocity

R_{e} effective radius

V lineal velocity

V_{y} lateral velocity

V_{x} longitudinal velocity

The slip ratio ** σ** and slip angle

**are the input for the Pacejka formulas, which yield the longitudinal and lateral forces exerted by the tire. Although this kind of methods is known to provide the state-of-the-art tire simulation, they still have several important problems and deficiencies.**

*α*- A quick look at the formulas reveal an evident and inconvenient fact:
*the slip formulas become numerically unstable when V approaches zero and are not defined at all when the vehicle is stopped*(0/0). Other definitions of the slip ratio also suffer of this problem in a similar way. - The lateral force is based on the slip angle. However the slip angle does
*not*account for any variation with the speed. Intuitively, the forces generated at high speed must be greater than the forces at low speed with the same slip angles. But V = (0.2, 0.1) produces the same slip angle (and thus the same lateral force) as V = (20, 10). - A typical video game runs its physics engine at 50 Hz (50 calculation cycles per second). The slip formulas require a very high calculation rate (~500 – 700 Hz) in order to provide acceptable results. One of the causes is that calculating ω involves the wheel’s inertia and the torque from the vehicle’s engine. This generates rapidly changing values which cause huge slip ratios at low calculation rates. Some implementations (i.e. the Alternate Physics Model from the Unity 3D official Car Tutorial) “solve” this by pseudo-calculating the values in a loop inside a single physics cycle until an acceptable result is obtained.
- Dealing with slip ratio in practice means assuming that the wheel is rotating faster than the ground underneath. This produces the visually unrealistic result of the drive wheels sliding when traction is applied. This effect can be clearly observed on most vehicle physics implementations for Unity.

#### Is there a better method?

Of course there are always better methods. The challenge here is to design a method being pretty realistic yet simple enough to be used at the typical 50Hz rate. The method should also cover all situations of the tire including the forces with the vehicle stopped.

This is what I’m currently working on

*EDIT (March 2015):*

…and finally I’ve developed fully coherent and accurate tire model and vehicle simulation that resolves all issues mentioned in this article. The tire and vehicle simulation react realistically to all situations with perfect continuity between all states.

http://www.edy.es/dev/2014/11/early-preview-of-vehicle-physics-pro/

fantastic work man. much of the math is over my head but damn interesting none the less.

have you experimented at all with getting force feedback into the mix?

http://forum.unity3d.com/threads/78268-Force-feedback-for-Windows?p=501186#post501186

I’ve been playing a lot of Project CARS lately. Damn realistic tire physics are addicting

I never got into rFactor, iRacing, netKar pro or any others from the last gen of sim racing, but i’m damn stoked for the immanent beta of rFactor 2. Check out this vid showcasing their new tire model: http://www.youtube.com/watch?v=PG0lscEUqBk

Thanks!

Yes, I already have a clear idea on how to calculate the force feedback from the tire (a.k.a. self aligning torque) without having to deal with artificially calculated curves.

Addicting, you tell me?

Nice rFactor video!

Very nice to see your knowledge on the subject has expanded significantly since the last time I looked into all of this.

I trust you looked into Brian Beckmans simplified alternative formula? In fact are you still using slip curves at all?

Of course I’m using slip curves. They are what define a tire’s handling and behavior. Actually I’ve implemented parametric curves (where you specify the peak and asymptote points directly) as well as Pacekja’94 longitudinal and lateral curves. In fact, the picture for this article reveals my Pacejka editor for Unity 3D it allows to edit the curve and see the results directly on both the graph and the vehicle’s behavior.

As said, the curves themselves are not the most important part of a tire model: it’s the way you “feed” them. My tire model allows to use the curves properly even when the vehicle is completely stopped. For instance, the tires generate force based on their slip curves when the vehicle is parked on a slope, so it remains static.

I looked at the Beckmann’s simplified formula. It’s visually simpler but more difficult to configure. Its three parameters are inter-related so if you want, for instance, modify the peak (point of maximum grip) you have to adjust all three parameters in a pure trial & error way. On the other hand, the Pacejka parameters are clearly defined and each one has a specific, predictable effect on the curve. Anyways it would be easy to add the simplified formula to the available options.

About Pacejka coefficient sets, your information here is a bit missleading. There simply is no sets sold. The reason why there arent many sets is because, there simpy is no actual sets. Because, while measuring tires, they get destroyed, every little measurement destroys rubber. There are good pacejkas but no 1:1 copy. Mostly they are behind logical thinking of a tire designer & a physicist & some new and better and advanced technology.

This is mainly the reason why pacejka coeficient sets are rear AND always free (so dont buy any pacejka sets if someone try’s to sell you some, it’s a scam)

Also i didn’t notice if you covered the friction combining part, thats the one and most important part of a tire model giving you realistic feedback. Without it your tires will allways feel wrong no matter how good your coeficient sets (friction curves) are.

Try searching for brian beckmans combining method (the unity3d alternative car tutorial actually has it, but in a little different form) Hope this helps someone!

According to the information available I must disagree.

Tire manufacturers like Michelin offer true Pacejka sets for their tire models through their Engineering & Services division (LINK).

Here you can read a discussion (LINK) by several representatives of car design teams about getting real experimental data from tires. One of them gets quoted more than $3000 for two basic tests and data acquisition on a tire testing facility.

That data is the same kind of experimental data the Pacejka coefficients are calculated from. The book

Tratado Sobre Automóviles Vol. 4(LINK) (in spanish) describes in a detailed and comprehensive way how the real data retrieved at experimental tests with the tire are used to build the Pacejka coefficients for that tire (LINK to a preview of the relevant pages, in spanish).In addition I read somewhere (can’t recall the exact page) about a teacher asking a tire manufacturer for a Pacejka set for educational purposes and being quoted about $1600. This is the example price used in my article.

Sure, I’ve read Beckman’s book and in fact I’m using his combining method in my own tire friction model. But this is a second stage, and it’s easily applicable once you have the longitudinal and lateral friction models working properly. If longitudinal-lateral forces are not properly defined, the combination method won’t likely improve anything.

I’ve found this really interesting page (LINK) describing how a real set of coefficients are calculated out of the raw data gathered using a tire stability rig. At the bottom of the page itUPDATE:shows a real set of coefficientsfor the Magic Formula. Other page describes a different method (LINK) for getting more precise results.Yeah I was wrong, there are real pacejka sheets, but what I actually ment was that combining these foreces (what you need to do for game/simulation use) you will loose alot of data, and since the former models are old (1989, 1994) they have alot of downsides when it comes to realism. One of the most common issue on todays sims are wheelspin. Anyway I still use pacejka 89, because its easy and quick to setup, trying to figure out some solutions to eliminate the errors (witch i will probbably fail, because i’m not the first one who trys this)

Hi Edy

I would like to know how to measure the force feedback from the tire….?Could you please help me explaining it…

Thanks…

Hi,EDY

Do you know Ftire model? It is another tire model which is more accurate than Pacejka, especially in high frequency.

Do you know clearly the parameters in Ftire model?

If yes, could you please help me to understand it?

lcy111989@gmail.com this is my email~

Thanks!

Hi Edy,

Thank you for linking to my site. If you want to receive some real racing tyre data or to talk about a more appropriate model than the MF-Tyre(Pacejka)for you purposes, then contact me direct.

Best regards, White-Smoke

Interesting editor.

Btw the Beckmann’s simplified formula is as good as any of the Pacejka variations, unless you run your engine on a super-computer at an insane rate. I adapted it in my engine (under development) so you don’t have to use trial and errors, and made a new formula for the self aligning torque.

But here is a lot of snobism in general about realism in games.

First any curve other than pacejka would work as long as the model is including combinaison slip and grip. An empirical (semi?) is as good as another. A pacejka model doesn’t deal very well with tire flex I suppose.

Second, to get as near as possible to realism (without never reaching it), there are a lot of things to simulate beyond the tire model itself : chassis flex, rolling moments, proper differentials (lsd etc.. they are essential for the behaviour).

Then any tire model based on a curve such as Pacejka will only work good on tarmac. Offroad behaviours (gravel, dirt, snow etc…) requires completely different tire models.

I suppose Pacejka curves are an amazing discovery, and definitely a good tool, but when running a game at 60Hz they are completely overrated and often used in isolation of many other systems which are as important for the behaviour of the vehicle.

I think a game which could be qualified of “realistic” would be Richard Burns rally. No idea how they did their tire model but it definitively feels near a real driving experience.

In summary i think it’s kind of weird to use a as “realistic” as possible tire model, when other systems aren’t pushed that far and that we race with a keyboard on a simulation running at 60Hz.

My 2 cents!

best