Summary
This video introduces the lab time simulation algorithm using Excel to create a lap time simulator for open lab coding. It explains the differences between steady-state and transient simulation, focusing on longitudinal and lateral simulation for track modeling. The detailed walkthrough covers finding apexes, turning radius values, braking and acceleration points, and optimizing acceleration and deceleration based on friction circle and grip limitations. The step-by-step process in Excel demonstrates calculating turning speeds, acceleration values, and velocity to improve performance on closed tracks.
Introduction to Lab Time Simulation Algorithm
Introduction to the lab time simulation algorithm and building a simple lap time simulator in Excel for future use in writing code for open lab.
Steady State Simulation
Explaining steady-state simulation and comparing it to transient simulation where the vehicle states are time-independent throughout the simulation.
Longitudinal vs Lateral Simulation
Understanding the difference between longitudinal and lateral simulation in creating a circle or ellipse model and the significance of track modeling.
Steady State Algorithm
Detailed explanation of the steady-state algorithm involving finding apexes, turning radius values, vehicle states after each apex, and determining braking and acceleration points.
Calculating Lap Time
Step-by-step process of meshing, finding local minima, calculating apex speeds, accelerating and decelerating, and finally calculating the lap time in the SI system.
Solving Equations in Excel
Demonstrating how to use Excel to calculate turning speeds, acceleration values, and velocity at different points on the track using formulas and equations.
Optimizing Acceleration and Deceleration
Explaining the process of optimizing acceleration and deceleration values based on friction circle, vehicle acceleration limits, and grip limitations to improve performance on closed tracks.
Order of Calculations
Discussing the importance of the order in which calculations are filled in to avoid unnecessary calculations and optimize lap time simulation.
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