Open-source simulation tools that bridge tyre theory, vehicle modelling, and real lap performance. Built by engineers, for engineers.
Everything you need to go from raw tyre data to a validated lap time — in one coherent workflow.
Pacejka Magic Formula fitting from TTC/FSAE data. Automated coefficient optimisation with thermal and pressure sensitivity.
MATLABCombined lateral-longitudinal acceleration envelopes with speed dependency. Directly feeds the lap simulator.
MATLABQuasi-steady-state and transient lap simulation. Track discretisation, braking optimisation, and sector analysis.
MATLAB / Simulink7-DoF planar model with load transfer, anti-geometry, and aero maps. Configurable for any FSAE platform.
MATLAB / SimulinkAutomated parameter sweeps to quantify lap time sensitivity to mass, CG height, aero balance, and spring rates.
PythonPost-processing and visualisation of simulation outputs. Overlay runs, compare setups, export publication-ready plots.
PythonStart with raw tyre test data. Fit Pacejka coefficients that your model can actually trust under combined slip.
Generate speed-dependent GGV surfaces that capture the real performance limits of your car — not a textbook one.
Feed everything into a quasi-steady or transient sim. Validate against logged data. Iterate until the numbers match the stopwatch.
Run sensitivity studies to know exactly where your next tenth is hiding. Make design decisions backed by simulation, not gut feel.
Whether you're building your first lap sim or refining a championship-winning setup, the tools are here.
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