Multidisciplinary Design Optimization Methods for Electrical Machines and Drive Systems [Paperback]

This book presents various computationally efficient component- andsystem-level design optimization methods for advanced electrical machines anddrive systems. Readers will discover novel design optimization conceptsdeveloped by the authors and other researchers in the last decade, includingapplication-oriented, multi-disciplinary, multi-objective, multi-level, deterministic,and robust design optimization methods. A multi-disciplinary analysis includesvarious aspects of materials, electromagnetics, thermotics, mechanics, powerelectronics, applied mathematics, manufacturing technology, and quality controland management. This book will benefit both researchers and engineers in thefield of motor and drive design and manufacturing, thus enabling the effectivedevelopment of the high-quality production of innovative, high-performancedrive systems for challenging applications, such as green energy systems andelectric vehicles.

Introduction.- Design fundamentals of electrical machines and drive systems.- Optimization methods.- Design optimization methods for electrical machines.- Design optimization methods for electrical drive systems.- Design optimizationfor high quality mass production.- Application-oriented design optimization methods forelectrical machines.- Conclusion and future works.Gang Lei received the B.S. degree in Mathematics from Huanggang Normal University, China, in 2003, the M.S. degree in Mathematics and Ph.D. degree in Electrical Engineering from Huazhong University of Science and Technology, China, in 2006 and 2009, respectively.

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 ellsz