Numerical Modelling of Vehicle Dynamics for Real-Time Performance Improvement

Using carbon-based fuels in internal combustion engines (ICE) and the various logistical challenges associated with testing formula cars have prompted me to think creatively and develop an integrated vehicle dynamic model. This model is designed to perform just as well as real-life tests, allowing us to re-evaluate car performance in a multiple-race circuit layout with different initial geometry and advanced tunability options that impact the suspension system, including anti-dive ratios and engine maps.

To create this model, I began by using 2D kinematic suspension geometry optimisation in OptimumK and Matlab Simulink. From there, I expanded the model into a full 3D version with an AI driver using Carsim software and Matlab scripts. This combination of tools has allowed me to achieve a level of detail and precision that would have been impossible using traditional testing methods.

The model has proven to be an incredibly effective tool for evaluating the performance of formula cars and identifying areas where improvements can be made. We have even upgraded the model to function as a driver simulator in an open platform, further expanding its potential uses and applications. Overall, I am proud to have created such a powerful and versatile tool that can help us mitigate the environmental impact of carbon-based fuels and drive innovation in the field of formula car testing and design.