Global vs. local optimization of system setup using a partial system - - PowerPoint PPT Presentation

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Global vs. local optimization of system setup using a partial system - - PowerPoint PPT Presentation

Global vs. local optimization of system setup using a partial system simulator Math 164: Thomas W. Barr Make car go fast. Math 164: Thomas W. Barr Formula One 605 kg 4g turn $500 mil/yr Engine force(rpm) = k torque(rpm)


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Global vs. local optimization of system setup using a partial system simulator

Math 164: Thomas W. Barr

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SLIDE 2

Make car go fast.

Math 164: Thomas W. Barr

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Formula One

  • 605 kg
  • 4g turn
  • $500 mil/yr
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Engine

force(rpm) = k torque(rpm)

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Transmission

Gear Ratio

1 0.001 2 0.002 3 0.003 4 0.004 5 0.005 6 0.006 7 0.007

rpm(v) = v / ratio[n]

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Acceleration equation

force(rpm) = k * torque(rpm)

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Acceleration equation

force(v) = k’ * torque(v / ratio[n])

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Acceleration equation

force(v) = (k / ratio[n]) * torque(v / ratio[n])

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Overall DE

x’’ = ((k / ratio(x’)) * torque(x’ / ratio(x’)) - d(x’)) / m

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Simplifying assumptions

  • Shifts take zero time
  • Calculate gear on every time step
  • Drivers are perfect on straights
  • Ideal brake point taken
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Datasets

  • Synthesize
  • Torque curve
  • Drag curve
  • Braking curve
  • Interpolate
  • Spline, linear between points
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Acceleration run

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Acceleration run

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Global optimization

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Turning circle

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Global optimization

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Partially global optimization

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Results

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Results

Improvement: 0.240

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Fuel Optimization

70 kg

Optimization Target

Time

Light 56.949 Heavy 56.918 Combined 56.916

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SLIDE 21

Conclusions

  • Whole track optimization worth 0.240
  • Fuel load optimization worth 0.031
  • Optimal setup independent of shift point
  • Coupled systems demand coupled
  • ptimization