
The Powertrain & Unsprung Mass Division is responsible for the development and optimization of the vehicle’s mechanical components, such as brakes, suspension and steering while improving overall vehicle dynamics and handling. In addition, they take care of critical components maintenance such as the electric motor, Battery and inverter. Most importantly they are in charge of developing the autonomous systems in coordination with Controls Division.


Management oversees the entire project, builds the material for the static events and ensures adherence to competition deadlines. It also manages purchases, logistics, sponsorships and external relations to support the team’s development.


The Vehicle Dynamics division focuses on tires, suspension kinematics, and dynamic modeling, working with Powertrain and Unsprung Mass to design components and simulate vehicle behavior. It also collects and analyzes track data to enhance handling and performance. The Control division develops the low-level software architecture for autonomous driving, integrating hardware and software into a global controller on the dSPACE ECU. It designs and validates control systems like TC, ABS, and torque vectoring using Simulink, MATLAB, and VI-GRADE co-simulation.


Electric & Electronics designs the vehicle’s electrical architecture, including wiring, PCBs, and power distribution. It ensures efficient communication between sensors, actuators, and the ECU while optimizing energy management and safety systems.


Chassis & Aerodynamics designs the structural and aerodynamic elements of the vehicle, optimizing weight, stiffness, and airflow to improve stability and performance. The division conducts CFD simulations and wind tunnel tests to refine aerodynamic efficiency and structural integrity.


Perception & Computer Vision develops algorithms for object detection, classification, and localization using sensor data from cameras, LiDAR, and radar. It ensures robust perception for the vehicle’s autonomous systems by refining sensor fusion and real-time processing.


Algorithms for Autonomous Vehicles develops the core decision-making and path-planning algorithms that enable autonomous driving. It integrates perception data to generate real-time trajectories, ensuring safe and efficient navigation in dynamic environments.

