The previous lab had students collect data on the power input and output of the AEV propellers in a wind tunnel. Students then used this information to analyze the data and determined the power input at which the propeller showed the best efficiency. This lab had teams undergo a similar process, however in this instance the team used data collected from the AEV’s performance on the actual track to analyze the efficiency. To begin this procedure, a program was written by the team (Figure 3) that had the AEV travel a fourth of the distance around the track and brake at the gate using a variety of commands. During the run, EEPROM time in milliseconds, current supplied, voltage supplied to the electric motors, and number of wheel marks from the reflectance sensors data was recorded by the Arduino on its EEPROM. The recorded data was then analyzed using MATLAB in order to determine the amount of power required by the AEV during each phase of the vehicle’s run. The purpose of this lab was to give the groups further insight into the factors of the project that affect efficiency. In this particular case, the power usage of each Arduino command were examined so that students could learn how to create their code to minimize wasted energy during their vehicle’s trial run. The motivation behind this procedure was also to give the group experience in using software to study trends and convert raw data. This skill is extremely valuable in the engineering world, for programs such as MATLAB are used extensively in the workplace and are essential to completing tasks in a timely and accurate fashion. See full executive summary attached below for more information.