TY - GEN
T1 - Magnetic, Thermal and Structural Scaling of Synchronous Machines
AU - Dilevrano, Gaetano
AU - Ragazzo, Paolo
AU - Ferrari, Simone
AU - Pellegrino, Gianmario
AU - Burress, Timothy
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - A fast and accurate method for scaling the dimensions and the performance of Permanent Magnet Synchronous Machines (PMSMs) is proposed, based on the use of flux linkage maps. Starting from a reference design, the scaled machine is designed to comply new peak torque and power, maximum operating speed, voltage and current specifications in seamless computational time. A new design plane is introduced, permitting the minimization of the stack length of the scaled design. The analysis covers the scaling of losses and the rules for scaling the water-glycol stator cooling jacket, which is a common cooling setup for PMSMs in traction application. The torque versus speed characteristics, the efficiency map and the thermal limit of the scaled design are obtained in seamless computational time without need of dedicated finite-element simulations. The e-motor of the BMW i3 is the reference design and the moto-generator 2 of the 4-th generation Toyota Prius is the target application for showcasing the proposed method.
AB - A fast and accurate method for scaling the dimensions and the performance of Permanent Magnet Synchronous Machines (PMSMs) is proposed, based on the use of flux linkage maps. Starting from a reference design, the scaled machine is designed to comply new peak torque and power, maximum operating speed, voltage and current specifications in seamless computational time. A new design plane is introduced, permitting the minimization of the stack length of the scaled design. The analysis covers the scaling of losses and the rules for scaling the water-glycol stator cooling jacket, which is a common cooling setup for PMSMs in traction application. The torque versus speed characteristics, the efficiency map and the thermal limit of the scaled design are obtained in seamless computational time without need of dedicated finite-element simulations. The e-motor of the BMW i3 is the reference design and the moto-generator 2 of the 4-th generation Toyota Prius is the target application for showcasing the proposed method.
KW - AC motors
KW - Algorithm design
KW - Electric motors
KW - Permanent magnet machines
KW - Traction motors
KW - analysis
UR - http://www.scopus.com/inward/record.url?scp=85144088435&partnerID=8YFLogxK
U2 - 10.1109/ECCE50734.2022.9947472
DO - 10.1109/ECCE50734.2022.9947472
M3 - Conference contribution
AN - SCOPUS:85144088435
T3 - 2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022
BT - 2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022
Y2 - 9 October 2022 through 13 October 2022
ER -