Multidisciplinary Design Optimization Methods for Electrical Machines and Drive Systems

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Synopsis

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.

Book details

Edition:
1st ed. 2016
Series:
Power Systems
Author:
Gang Lei, Jianguo Zhu, Youguang Guo
ISBN:
9783662492710
Related ISBNs:
9783662492697
Publisher:
Springer Berlin Heidelberg
Pages:
N/A
Reading age:
Not specified
Includes images:
Yes
Date of addition:
2019-10-14
Usage restrictions:
Copyright
Copyright date:
2016
Copyright by:
N/A 
Adult content:
No
Language:
English
Categories:
Mathematics and Statistics, Nonfiction, Technology