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