Please use this identifier to cite or link to this item:
https://lib.hpu.edu.vn/handle/123456789/20760
Title: | Multidisciplinary Design Optimization Methods for Electrical Machines and Drive Systems |
Authors: | Lei, Gang Zhu, Jianguo Guo, Youguang |
Keywords: | Electrical machines Optimization Drive systems |
Issue Date: | 2016 |
Publisher: | Springer-Verlag Berlin Heidelberg |
Abstract: | 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. |
URI: | https://lib.hpu.edu.vn/handle/123456789/20760 |
ISBN: | 978-3-662-49269-7 978-3-662-49271-0 |
Appears in Collections: | Technology |
Files in This Item:
File | Description | Size | Format | |
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15_Multidisciplinary_Design_Optimization_Methods.pdf Restricted Access | 79.25 kB | Adobe PDF | ![]() View/Open Request a copy | |
1_15_Multidisciplinary_Design_Optimization_Methods.pdf Restricted Access | 9.03 MB | Adobe PDF | ![]() View/Open Request a copy |
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