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Andrew Kasha, PhD Student, Purdue University Scott Sudhoff, Michael and Katherine Birck Professor of Electrical and Computer Engineering, Purdue University Multi-Objective Design Optimization of a Surface-Mounted Heterogeneous-Pole Permanent-Magnet (HPM) Machine SELECT Annual Meeting and Technology Showcase – Logan, Utah – September 27-28, 2016 FLUX DENSITY DISTRIBUTION SHAPING Shaping air gap flux can potentially: Reduce cogging torque Improve torque density Improve machine efficiency Can be achieved using: Halbach magnetization Magnet segmentation Mixed magnet grades Physical pole shaping The HPM uses mixed grade magnets of disparate shape atop a tiered rotor backiron to achieve FDD shaping THE S YMMETRIC HPM The SHPM is a subvariant with: Three magnet segments Constant magnet depth Identical outer PM materials Identical outer magnet widths Outer magnets of lower grade than inner magnet No rotor backiron tiers Constant air gap Symmetric forward and reverse operation APPLICATION The SHPM can be used to improve torque density of EV propulsion systems The topology also has the potential to reduce torque ripple SHPM ANALYTICAL MODEL Improved stator leakage model directly accounts for flux crossing the slot Better predicts the leakage flux density at the top and bottom of stator tooth Improves the predicted flux density waveforms in the stator, leading to better core loss prediction Nonlinear model converges even under saturation and high current density conditions Accounts for DC and AC conduction losses as well as steel core losses Can be used to rapid evaluation of designs SHPM CROSS-SECTION MULTI OBJECTIVE OPT . B ASED DESIGN Choose design variables which fully describe machine Establish constraints to ensure performance and viability Select metrics for comparing individual designs electromagnetic mass aggregate loss Construct fitness function CASE S TUDY Constant 2.5 HP 5:1 speed range Fixed rotor, stator, and conductor material Aggregate losses evenly weighted at each operating point Study repeated 5 times T OPOLOGY COMPARISON Optimization studies for SHPM and SMPM (traditional single surface mounted magnet per pole) were run SHPM outperforms SMPM in the low mass region A 10.7% reduction in aggregate losses were observed for low mass designs FEA V ALIDATION Analytical model validated using 2D FEA in Ansys Maxell 72 magnetostatic evaluations of machine were performed across a full electrical cycle in 5 degree increments Less than 4% error between average torque from FEA and analytical model Flux density waveforms in stator show strong agreement between new analytical model and FEA, even at operating points exhibiting high slot leakage Maximum average-to-peak torque ripple of 4% 17.86 8.07 3.57 17.29 7.96 3.6 0 2 4 6 8 10 12 14 16 18 20 OP1 OP2 OP3 Torque, Nm FEM 3.30% 0.63% -1.11% FUTURE WORK Expansion of analytical model to include generalized HPM Development of 3D thermal equivalent circuit (TEC) to predict temperature increase in stator Construction of SHPM prototype to validate analytical and TEC models Redesign SHPM using TEC

Multi-Objective Design Optimization of a Surface … DENSITY DISTRIBUTION SHAPING • Shaping air gap flux can potentially: • Reduce cogging torque ... • Magnet segmentation •

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Page 1: Multi-Objective Design Optimization of a Surface … DENSITY DISTRIBUTION SHAPING • Shaping air gap flux can potentially: • Reduce cogging torque ... • Magnet segmentation •

Andrew Kasha, PhD Student, Purdue University

Scott Sudhoff, Michael and Katherine Birck Professor of Electrical and Computer Engineering, Purdue University

Multi-Objective Design Optimization of a Surface-Mounted Heterogeneous-Pole Permanent-Magnet (HPM) Machine

SELECT Annual Meeting and Technology Showcase – Logan, Utah – September 27-28, 2016

FLUX DENSITY DISTRIBUTION SHAPING

• Shaping air gap flux can potentially: • Reduce cogging torque • Improve torque density • Improve machine efficiency

• Can be achieved using: • Halbach magnetization • Magnet segmentation • Mixed magnet grades • Physical pole shaping

• The HPM uses mixed grade magnets of disparate shape atop a tiered rotor backiron to achieve FDD shaping

THE SYMMETRIC HPM • The SHPM is a subvariant with:

• Three magnet segments • Constant magnet depth • Identical outer PM

materials • Identical outer magnet

widths • Outer magnets of lower

grade than inner magnet • No rotor backiron tiers • Constant air gap • Symmetric forward and

reverse operation

APPLICATION

• The SHPM can be used to improve torque density of EV propulsion systems

• The topology also has the potential to reduce torque ripple

SHPM ANALYTICAL MODEL

• Improved stator leakage model directly

accounts for flux crossing the slot

• Better predicts the leakage flux

density at the top and bottom of

stator tooth

• Improves the predicted flux density

waveforms in the stator, leading to

better core loss prediction

• Nonlinear model converges even under

saturation and high current density

conditions

• Accounts for DC and AC conduction losses

as well as steel core losses

• Can be used to rapid evaluation of designs

SHPM CROSS-SECTION

MULTI OBJECTIVE OPT. BASED DESIGN

• Choose design variables which fully describe machine

• Establish constraints to ensure performance and viability

• Select metrics for comparing individual designs

• electromagnetic mass

• aggregate loss • Construct fitness function

CASE STUDY

• Constant 2.5 HP • 5:1 speed range • Fixed rotor, stator,

and conductor material

• Aggregate losses evenly weighted at each operating point

• Study repeated 5 times

TOPOLOGY COMPARISON

• Optimization studies for SHPM and SMPM (traditional single surface mounted magnet per pole) were run • SHPM outperforms SMPM in the low mass region • A 10.7% reduction in aggregate losses were

observed for low mass designs

FEA VALIDATION

• Analytical model validated using 2D FEA in Ansys Maxell

• 72 magnetostatic evaluations of machine were performed across a full electrical cycle in 5 degree increments

• Less than 4% error between average torque from FEA and analytical model

• Flux density waveforms in stator show strong agreement between new analytical model and FEA, even at operating points exhibiting high slot leakage

• Maximum average-to-peak torque ripple of 4%

17.86

8.07

3.57

17.29

7.96

3.6

0 2 4 6 8 10 12 14 16 18 20

OP1

OP2

OP3

Torque, Nm

FEM

3.30%

0.63%

-1.11%

FUTURE WORK

• Expansion of analytical model to include generalized HPM

• Development of 3D thermal equivalent circuit (TEC) to predict temperature increase in stator

• Construction of SHPM prototype to validate analytical and TEC models • Redesign SHPM using TEC