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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, ...

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    eBook icon PDF eBook Multidisciplinary Design Optimization Methods for Electrical Machines and Drive Systems

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    • Title: Multidisciplinary Design Optimization Methods for Electrical Machines and Drive Systems by Gang Lei; Jianguo Zhu; Youguang Guo
    • Publisher: Springer Nature
    • Print ISBN: 9783662492697, 3662492695
    • eText ISBN: 9783662492710
    • Edition: 2016 2016 edition
    • Format: PDF eBook
    $26.70
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