Quasi-Static Lap Simulation


As a summer project before the 2025-26 season, I decided to create a custom quasi-static lap time simulation to further my personal vehicle dynamics understanding and build a tool my team could use to sweep global vehicle parameters and make more educated design tradeoffs. The simulation uses a two-track bicycle model, and includes effects from bi-directional differential contributions. Custom Pacjeka 6.2 tyre models were fit from Tire Test Consortium data for the Hoosier R20 and LC0 using https://github.com/teasit/magic-formula-tyre-tool created by Tom Teasdale of UPBRacing. This is an incredible tool that automatically parses TTC data and converts to Tydex format for ease of fitting. My lapsim code, including a .tir file parser, Magic Formula solvers for lateral and longitudinal force, vehicle envelope computation, and full-competition simulation is available on my GitHub: https://github.com/nivedsnj/QS-Lap-Sim.
Feature-Based Performance Impacts
Vehicle Characteristic Change | Dynamic Score Potential Delta |
---|---|
Add weight | -2.1 points/lb |
Move front weight dist. forward | -3.3 points/% |
Raise CG height | -0.7 points/inch |
Increase camber gain (compliance) | -1.2 points/deg/in |
Decrease drivetrain efficiency | -2.6 points/% |
Reduce Cl*A | -1.4 points/decrease by 0.1 |