Overview
- Broadens your understanding of new material and topology
- structures for innovative motor and drive system design optimization
- Shares many tips and insights into Six-Sigma robust design
- optimization to achieve high-quality drive systems from an industrial
- manufacturing perspective
- Provides in-depth knowledge of application-oriented, system-level design optimization methods to aim for optimal performance on the system rather than component level
- Includes supplementary material: sn.pub/extras
Part of the book series: Power Systems (POWSYS)
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Table of contents (8 chapters)
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Front Matter
Keywords
About this book
This book presents various computationally efficient component- and system-level design optimization methods for advanced electrical machines and drive systems. Readers will discover novel design optimization concepts developed by the authors and other researchers in the last decade, including application-oriented, multi-disciplinary, multi-objective, multi-level, deterministic, and robust design optimization methods. A multi-disciplinary analysis includes various aspects of materials, electromagnetics, thermotics, mechanics, power electronics, applied mathematics, manufacturing technology, and quality control and management. This book will benefit both researchers and engineers in the field of motor and drive design and manufacturing, thus enabling the effective development of the high-quality production of innovative, high-performance drive systems for challenging applications, such as green energy systems and electric vehicles.
Authors and Affiliations
About the authors
He is currently a Chancellor's Postdoctoral Research Fellow at School of Electrical, Mechanical and Mechatronic Systems, University of Technology, Sydney (UTS), Sydney, Australia. He is a core member of the Green Energy & Vehicle Innovation Centre (GEVIC) which is one of the Research Strengths at UTS. His current research interests include numerical analysis of electromagnetic field, design and optimization of advanced electrical drive systems for renewable energy systems and applications.
Jianguo Zhu received the B.E. from the Jiangsu Institute of Technology, Zhenjiang, China, in 1982, the M.E. from Shanghai University of Technology, Shanghai, China, in 1987, and the Ph.D. from University of Technology Sydney (UTS), Sydney, Australia, in 1995.
He is currently a Professor of Electrical Engineering and the Head of the School of Electrical, Mechanical and Mechatronic Systems, UTS. He is the co-director of the Green Energy & Vehicle Innovation Centre (GEVIC) which is one of the Research Strengths at UTS. His research interests include electromagnetics, magnetic properties of materials, electrical machines and drives, power electronics, renewable energy systems, and smart micro-grids.
Youguang Guo received the B.E. from Huazhong University of Science and Technology (HUST), Wuhan, China, in 1985, the M.E. from Zhejiang University, Zhejiang, China, in 1988, and the Ph.D. from University of Technology Sydney (UTS), Sydney, Australia in 2004, all in Electrical Engineering.
From 1988 to 1998, he lectured in the Department of Electric Power Engineering, HUST. From March 1998 to July 2008, he was a Visiting Research Fellow, Ph.D. candidate, Postdoctoral Fellow, and Research Fellow in the Center for Electrical Machines and Power Electronics, Faculty of Engineering, UTS. He is currently an Associate Professor at the School of Electrical, Mechanical and Mechatronic Systems, UTS. He is a core member of the Green Energy & Vehicle Innovation Centre (GEVIC) which is one of the Research Strengths at UTS. His research fields include measurement and modeling of magnetic properties of magnetic materials, numerical analysis of electromagnetic field, electrical machine design and optimization, power electronic drives and control.
Bibliographic Information
Book Title: Multidisciplinary Design Optimization Methods for Electrical Machines and Drive Systems
Authors: Gang Lei, Jianguo Zhu, Youguang Guo
Series Title: Power Systems
DOI: https://doi.org/10.1007/978-3-662-49271-0
Publisher: Springer Berlin, Heidelberg
eBook Packages: Energy, Energy (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2016
Hardcover ISBN: 978-3-662-49269-7Published: 16 February 2016
Softcover ISBN: 978-3-662-56996-2Published: 30 March 2018
eBook ISBN: 978-3-662-49271-0Published: 05 February 2016
Series ISSN: 1612-1287
Series E-ISSN: 1860-4676
Edition Number: 1
Number of Pages: XIV, 241
Number of Illustrations: 56 b/w illustrations, 95 illustrations in colour
Topics: Power Electronics, Electrical Machines and Networks, Machinery and Machine Elements, Mathematical and Computational Engineering, Industrial and Production Engineering