In recent years, automotive control has become a significant factor in automotive innovation. Over the years, it has been necessary to use automotive control to meet lower fuel consumption and lower missions demands. Besides, automotive control ensures greater driving safety and comfort. In any technology area, control design is a fusion of reality, physics, modeling, and design methods. This also happens in automotive control, where extensive research and development has led to numerous descriptions, models, and design methodologies suitable for control. An autonomous vehicle's control consists mainly of three separate modules: environment perception, planning and decision-making, and vehicle control. This master thesis aims to design, validate, and implement a vehicle control strategy to automatically manage the lateral and the longitudinal dynamics of a full electric all-wheel drive racing vehicle participating in Formula SAE.