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Multidisciplinary Design Optimization Methods for Electrical Machines and Drive Systems

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Multidisciplinary Design Optimization Methods for Electrical Machines and Drive Systems 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.

About This Edition

ISBN: 9783662492697
Publication date: 16th February 2016
Author: Gang Lei, Jianguo Zhu, Youguang Guo
Publisher: Springer an imprint of Springer Berlin Heidelberg
Format: Hardback
Pagination: 241 pages
Series: Power Systems
Genres: Electrical engineering
Maths for engineers
Mechanical engineering
Production and industrial engineering