Synchronous Reluctance Machines
Analysis, optimization and applications
Published on 15. February 2022
Book
Hardback
369 pages
978-1-83953-263-4 (ISBN)
Description
Reluctance motors induce non-permanent magnetic poles on the ferromagnetic rotor; the rotor does not have any windings and torque is generated through magnetic reluctance. Synchronous reluctance motors (SyRMs) have an equal number of stator and rotor poles. Reluctance motors can deliver high power density at low cost, so they are finding increasing application in the transport sector. Disadvantages include high torque ripple and the complexity of designing and controlling them. Advances in theory, computer design, and control electronics can overcome these issues.
This hands-on reference covers the concept and design of synchronous reluctance motors. It conveys all key topics required to understand this technology. Chapters cover magnetic materials, geometry, modeling, design and analysis, optimization, production technology, fault-tolerance, experimental validation, and self-sensing-oriented optimization.
Synchronous Reluctance Machines: Analysis, optimization and applications is ideal for researchers working on electrical machines and motors, particularly electric vehicles. The writers - experts from academia and industry - provide the reader with an excellent background and understanding of the core concepts involved in synchronous reluctance motors such that they can engage in their own R&D.
The authors of this book are kindly donating all royalties to Operazione Mato Grosso.
This hands-on reference covers the concept and design of synchronous reluctance motors. It conveys all key topics required to understand this technology. Chapters cover magnetic materials, geometry, modeling, design and analysis, optimization, production technology, fault-tolerance, experimental validation, and self-sensing-oriented optimization.
Synchronous Reluctance Machines: Analysis, optimization and applications is ideal for researchers working on electrical machines and motors, particularly electric vehicles. The writers - experts from academia and industry - provide the reader with an excellent background and understanding of the core concepts involved in synchronous reluctance motors such that they can engage in their own R&D.
The authors of this book are kindly donating all royalties to Operazione Mato Grosso.
More details
Series
Language
English
Place of publication
Stevenage
United Kingdom
Target group
College/higher education
Professional and scholarly
Dimensions
Height: 241 mm
Width: 160 mm
Thickness: 23 mm
Weight
748 gr
ISBN-13
978-1-83953-263-4 (9781839532634)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
Nicola Bianchi is a full professor at the Department of Industrial Engineering of the University of Padova, Italy. He is the head of the Electric Drive Laboratory, where research focuses on electrical motors and their control. His research interests include the analysis of the performance, determination of the parameters, design, optimization and control of innovative machines. He is an IEEE Fellow Member. He is co-author of more than two hundred papers and several books.
Cristian Babetto is a design specialist at Marelli Motorsport, Corbetta, Italy. His activities focus on the design and analysis of electromagnetic devices and high-performance electric motors for motorsport applications. He received a PhD in industrial engineering from the University of Padova (Italy) in 2020. During his PhD studies, he mainly worked on the analysis and optimization of synchronous reluctance machines for fault-tolerant and high-speed applications.
Giacomo Bacco is an E-Motor Engineer in the Advanced Engineering group at Magna Powertrain. His work includes the analysis and design of electric drives for automotive applications. He received the BSc, MSc and PhD degrees from the University of Padova in 2013, 2016 and 2020, respectively. His research interests covered the analysis, design and optimization of electric machines, in particular anisotropic synchronous machines (IPMM and SyRM).
Cristian Babetto is a design specialist at Marelli Motorsport, Corbetta, Italy. His activities focus on the design and analysis of electromagnetic devices and high-performance electric motors for motorsport applications. He received a PhD in industrial engineering from the University of Padova (Italy) in 2020. During his PhD studies, he mainly worked on the analysis and optimization of synchronous reluctance machines for fault-tolerant and high-speed applications.
Giacomo Bacco is an E-Motor Engineer in the Advanced Engineering group at Magna Powertrain. His work includes the analysis and design of electric drives for automotive applications. He received the BSc, MSc and PhD degrees from the University of Padova in 2013, 2016 and 2020, respectively. His research interests covered the analysis, design and optimization of electric machines, in particular anisotropic synchronous machines (IPMM and SyRM).
Content
Chapter 1: Introduction
Chapter 2: Magnetic materials
Chapter 3: Synchronous reluctance motor geometry drawing
Chapter 4: Reluctance network model of high-speed synchronous reluctance machines
Chapter 5: Nonlinear analytical model for synchronous reluctance machines
Chapter 6: Design criteria of flux-barriers in synchronous reluctance machines
Chapter 7: Structural analysis with GetDP
Chapter 8: Efficiency map computation
Chapter 9: Multi-objective optimization
Chapter 10: Design and optimization of a PMaSyR motor for low-voltage E-scooter applications
Chapter 11: Synchronous reluctance motor optimization for pumping application
Chapter 12: High-torque low-speed permanent magnet assisted synchronous reluctance motor design
Chapter 13: Bonded magnets in PMaSyR machines
Chapter 14: High-speed synchronous reluctance machines
Chapter 15: Overview of fault-tolerant SyR machines
Chapter 16: Impact of winding arrangement in dual three-phase synchronous reluctance machine
Chapter 17: Optimization of a synchronous reluctance machine for fault-tolerant applications
Chapter 18: Experimental validation of a synchronous reluctance machine for fault-tolerant applications
Chapter 19: Self-sensing-oriented optimization of synchronous reluctance machine design
Chapter 20: Conclusions
References
Appendix A: Iron losses insights
Appendix B: MMF distribution along the stator periphery
Appendix C: HS-SyR analytical model constants
Appendix D: GetDP elasticity formulation
Appendix E: Maxwell stress tensor derivation
Appendix F: High-frequency signal injection mathematical model
Appendix G: Incremental permeability simulations for differential inductances computation
Chapter 2: Magnetic materials
Chapter 3: Synchronous reluctance motor geometry drawing
Chapter 4: Reluctance network model of high-speed synchronous reluctance machines
Chapter 5: Nonlinear analytical model for synchronous reluctance machines
Chapter 6: Design criteria of flux-barriers in synchronous reluctance machines
Chapter 7: Structural analysis with GetDP
Chapter 8: Efficiency map computation
Chapter 9: Multi-objective optimization
Chapter 10: Design and optimization of a PMaSyR motor for low-voltage E-scooter applications
Chapter 11: Synchronous reluctance motor optimization for pumping application
Chapter 12: High-torque low-speed permanent magnet assisted synchronous reluctance motor design
Chapter 13: Bonded magnets in PMaSyR machines
Chapter 14: High-speed synchronous reluctance machines
Chapter 15: Overview of fault-tolerant SyR machines
Chapter 16: Impact of winding arrangement in dual three-phase synchronous reluctance machine
Chapter 17: Optimization of a synchronous reluctance machine for fault-tolerant applications
Chapter 18: Experimental validation of a synchronous reluctance machine for fault-tolerant applications
Chapter 19: Self-sensing-oriented optimization of synchronous reluctance machine design
Chapter 20: Conclusions
References
Appendix A: Iron losses insights
Appendix B: MMF distribution along the stator periphery
Appendix C: HS-SyR analytical model constants
Appendix D: GetDP elasticity formulation
Appendix E: Maxwell stress tensor derivation
Appendix F: High-frequency signal injection mathematical model
Appendix G: Incremental permeability simulations for differential inductances computation