D = µ·Fz, B=stiffness, C=shape, E=curvature
Adjust slip angle, vertical load, and friction coefficient to visualize lateral force, longitudinal force, and the friction circle in real time. Understand cornering stiffness and grip limits intuitively.
D = µ·Fz, B=stiffness, C=shape, E=curvature
The core of the simulator is the Pacejka Magic Formula, which calculates the lateral force $F_y$ generated by a tire as a function of its slip angle $\alpha$.
$$F_y = D\sin\!\bigl(C\arctan(B\alpha - E(B\alpha - \arctan(B\alpha)))\bigr)$$Where:
• $F_y$ = Lateral (cornering) force [N]
• $\alpha$ = Slip angle [rad]
• $D$ = Peak factor = $\mu \cdot F_z$
• $B$ = Stiffness factor (controls the slope at $\alpha=0$)
• $C$ = Shape factor (typically ~1.3-1.6 for lateral force)
• $E$ = Curvature factor (influences the shape near the peak)
The friction circle concept is governed by the vector sum of lateral and longitudinal forces, limited by the maximum available friction force.
$$\sqrt{F_x^2 + F_y^2} \leq \mu F_z$$Where:
• $F_x$ = Longitudinal force (from braking or acceleration) [N]
• $F_y$ = Lateral force [N]
• $\mu$ = Friction coefficient between tire and road
• $F_z$ = Vertical load on the tire [N]
This inequality means the combined force vector must stay inside a circle of radius $\mu F_z$. This is why a tire cannot brake hard and corner hard at the exact same time.
Vehicle Dynamics Simulation (CAE): This is the primary use. Automotive engineers embed the Magic Formula in software like Adams/Car or Simulink to predict how a vehicle will handle, brake, and accelerate long before a physical prototype is built. They tune the B, C, E parameters to match test data from specific tires.
Racing Telemetry Analysis: Race engineers use the friction circle plot to analyze driver performance. By plotting lateral vs. longitudinal g-forces from onboard sensors, they can see if a driver is using the tire's grip optimally through a corner or if they are "over-driving" and asking for more force than the tire can provide.
Advanced Driver-Assistance Systems (ADAS): Systems like Electronic Stability Control (ESC) need to know the tire's force limits to prevent skids. The controller estimates the available $\mu F_z$ based on conditions and uses a simplified version of the friction circle model to decide how to apply braking to individual wheels to keep the car stable.
Tire Design and Testing: Tire manufacturers perform thousands of tests on tire test rigs to measure force vs. slip angle curves. They then fit the Magic Formula to this data, creating a "tire model" that can be shared with car manufacturers for their simulations, allowing for collaborative development between tire and vehicle engineers.
First, avoid assuming "the Magic Formula parameters are fixed constants specific to a tire." In reality, particularly D (peak factor) and B (stiffness factor) are strongly dependent on the vertical load Fz. For example, if the load doubles, the maximum lateral force D nearly doubles, but the cornering stiffness (initial slope) increases by more than double. Overlooking this nonlinearity will lead to significant errors in simulations of sporty driving with heavy load transfer. Use the tool's Fz slider to see how the shape of the graph itself changes.
Next, the misconception that "the friction circle is a perfect circle." A real tire's friction limit is not perfectly symmetric between longitudinal and lateral forces; it often resembles an ellipse. This stems from the tire's tread characteristics. While the Magic Formula itself has models that consider combined slip (simultaneous longitudinal and lateral slip), the circle shown in this tool is an idealization to help you understand the concept of a "combined force limit." In practice, more sophisticated combined slip models are necessary.
Finally, pitfalls when adjusting parameters. The four parameters B, C, D, and E interfere with each other. For instance, if you arbitrarily increase the D value just to raise the maximum lateral force, the initial slope of the graph (the effective cornering stiffness) will also change. To achieve the target characteristics, you need expertise such as using dedicated software for fitting experimental data or adjusting B and D in conjunction. Manually creating a "plausible curve" is good for learning but insufficient for replicating real vehicle data.
A 1500 kg sedan (3750 N per corner) on dry asphalt (μ = 0.90) at 8° slip angle and zero longitudinal slip. The Magic Formula yields peak Fy ≈ 3200 N, Cα ≈ 120 N/°, and Mz (aligning torque) ≈ 85 Nm. Now add κ = 5% (light throttle): Fy drops to 2950 N as friction is shared between axes, grip utilization climbs to 94%. If μ drops to 0.50 (rain), the same 8° slip only produces Fy ≈ 1800 N and peak capacity halves—critical for ABS/TCS tuning.