TY - GEN
T1 - Analysis and Optimization of Radial Flux Modular Stator Permanent Magnet Synchronous Machines
AU - Jara, Werner
AU - Bramerdorfer, Gerd
AU - Madariaga, Carlos
AU - RIEDEMANN AROS, JAVIER ALEJANDRO
AU - Tapia, Juan
AU - Segon, Gordan
AU - Koppelstatter, Werner
AU - Silber, Siegfried
N1 - Publisher Copyright:
© 2020 IEEE.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020/10/11
Y1 - 2020/10/11
N2 - This work is about the analysis and optimization of radial flux modular stator synchronous machines. An outer rotor topology with surface-mounted permanent magnets is focused. The stator holds concentrated coils fixed to U-shaped segments made of laminated steel. An automated procedure for evaluating the characteristics of any design variant of this topology is presented. This includes a nonlinear finite element analysis conducted by taking advantage of a computer cluster and a consequently applied surrogate modeling technique for detailed performance evaluation. The approach is applied for solving an optimization problem with multiple objectives and several design parameters. The overall Pareto optimal results are illustrated. Selected Pareto-optimal designs are presented and compared in detail. Consequently, design guidelines can be derived that give valuable insights for future design tasks that were not yet presented in the past.
AB - This work is about the analysis and optimization of radial flux modular stator synchronous machines. An outer rotor topology with surface-mounted permanent magnets is focused. The stator holds concentrated coils fixed to U-shaped segments made of laminated steel. An automated procedure for evaluating the characteristics of any design variant of this topology is presented. This includes a nonlinear finite element analysis conducted by taking advantage of a computer cluster and a consequently applied surrogate modeling technique for detailed performance evaluation. The approach is applied for solving an optimization problem with multiple objectives and several design parameters. The overall Pareto optimal results are illustrated. Selected Pareto-optimal designs are presented and compared in detail. Consequently, design guidelines can be derived that give valuable insights for future design tasks that were not yet presented in the past.
KW - evolutionary algorithm
KW - modular stator machine
KW - optimization
KW - permanent magnet synchronous machine
UR - http://www.scopus.com/inward/record.url?scp=85097146580&partnerID=8YFLogxK
U2 - 10.1109/ECCE44975.2020.9235476
DO - 10.1109/ECCE44975.2020.9235476
M3 - Conference contribution
AN - SCOPUS:85097146580
T3 - ECCE 2020 - IEEE Energy Conversion Congress and Exposition
SP - 1167
EP - 1173
BT - ECCE 2020 - IEEE Energy Conversion Congress and Exposition
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 11 October 2020 through 15 October 2020
ER -