Stability control is a known algorithm used to increase safety in passenger vehicles. It comprises not only yaw control but rollover as well, mainly in vehicles with high centers of gravity. Another already established trend in the automobile industry are electric vehicles with independently driven wheels. Its zero-emitting qualities have made them environmentally attractive and, due to their drivetrain design, they tend to be mechanically less complex. Stability controls used nowadays work to prevent the vehicle from reaching unstable situations. Nonetheless, high speed vehicles hitting obstacles may lose contact with the ground. In these situations, none of the existing stability controls can guarantee safe landing during ballistic motion. This work presents an algorithm for flying wheel detection to help identify ballistic motion tendencies and therefore determine the appropriate action to increase the odds of a safe landing. Current sensors and encoders are used by the algorithm. A reaction wheel based control is proposed to stabilize and adjust the pitch angle during ballistic motion and set up the vehicle to a better position to return to land. The flying wheel detection algorithm can also estimate external torques acting on the wheel using the same sensors already installed in the motor for current control, making it a costless technique. The detection algorithm and pitch control algorithm presented were tested experimentally and in a simulator developed for the research. The results show the potential of the algorithms presented for future implementations.