1. Lab 06: AEV System Analysis 2 Advanced Energy Vehicle (AEV)

2. AEV Project Objective (Problem Definition) INITIAL CONCEPTS (Brainstorming) EXPERIMENTAL RESEARCH ANALYZE DESIGN DECISION RESEARCH COMPARE FINAL DESIGN Present AEV Design PT 1 PT 2 PT 3 PT 4 (System Analysis)(Programming)

3. Learning Objectives  Download data from the automatic control system.  Convert EEProm Arduino data readouts to physical engineering parameters such as distance traveled and velocity.  Calculate the performance characteristics of the AEV.

4. Recap – System Analysis 1  In System Analysis 1, we downloaded data from the automatic control system to calculate:  Time Input Power,  Current Incremental Energy,  Voltage Total Energy,

5. System Analysis 2  Now we’re going to make use of the wheel counts recorded by the AEV and compute the following: Distance Velocity Kinetic Energy s = distance (meters) v = velocity (meters/seconds) s = distance (meters) t = time (seconds) KE = Kinetic Energy (joules) m = Mass (kilograms) v = velocity(meters/second)

6. System Analysis 2: AEV Performance Characteristics

7.  AEV velocity can be easily computed.  The propeller RPM is a function of the current being supplied to the motor by the command inputs.  The following are sample equations for RPM*: *We will revisit the RPM curves in System Analysis 3 and update the equations above.

8. The Advance Ratio RPM = Revolutions per Minute v = velocity(meters/second) D = Propeller Diameter (meters)

9. The Advance Ratio

10. Some Advance Ratio Limits  At low motor speeds (~10% or lower) the propeller RPM becomes difficult to measure. To filter out bad data, constraints are used when computing the Advance Ratio.  First, compute advance ratio:  Second, apply constraints:

11. Propeller Efficiency

12. Questions?