Track 1
Average Power: 5.105 Watts
Average Distance: 4.037 meters
Power Range: 12.6821 Watts
Median Power: 2.3519 Watts
Standard Deviation(average of each run was used): 0.04119
Track 2
Average Power: 5.031Watts
Average Distance: 3.8821 meters
Power Range: 12.6361 Watts
Median Power: 2.3435 Watts
Standard Deviation(average of each run was used): 0.01506
Track 3
Average Power: 5.006 Watts
Average Distance: 3.4052 meters
Power Range: 12.6361 Watts
Median Power: 2.2882 Watts
Standard Deviation(average of each run was used): 0.06710
Track 4
Average Power: 5.056 Watts
Average Distance: 3.3103 meters
Power Range: 12.7173 Watts
Median Power: 2.2902 Watts
Standard Deviation(average of each run was used): 0.06066
Code Used For the Tests
reverse(4);
celerate(4,0,45,2);;
motorSpeed(4,40);
goFor(3.35);
brake(4);
motorSpeed(15);
goFor(0.5);
brake(4);
Conclusion
Track variance provided some very insightful information regarding the AEV. It was interesting to see how the slight variances between inclines and declines in the tracks affected the distance the AEV was able to travel. Being able to see this was significant because it helped us acknowledge the differences. Additionally we were able to see how the power consumption was affected by these differences in the track and note how the power consumption was also affected by the battery degradation between trials on each track. It’s apparent how the battery charge degradation affected the trials because with each track the distance continued to decrease due to running three trials on each track one after another. Moving forward, it’s important for us to account for the battery charge being low and how that will affect the trials. Additionally its important to alter the code based on the different tracks so that it can stop precisely on each track.