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Multidisciplinary Design Optimization Methods for Electrical Machines and Drive Systems

Part of the book series: Power Systems ((POWSYS))

Abstract

This chapter presents a brief introduction focusing on various aspects of electrical machines, drive systems, their applications, energy usage, and the state-of-art design optimization methods. The design optimization of electrical machines and drive system is a multi-disciplinary, multi-objective, multi-level, high-dimensional, highly nonlinear and strongly coupled problem, which has long been a big challenge in both research and industry communities. The contents of this chapter form a good foundation for the whole book, and pave a smooth path to major goal of this book to present efficient design optimization methods for achieving high-performance high-quality electrical machines and drive systems for challenging applications, such as green energy systems and electric vehicles.

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Authors and Affiliations

  1. University of Technology Sydney, Sydney, NSW, Australia

    Gang Lei, Jianguo Zhu & Youguang Guo

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  1. Gang Lei
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  2. Jianguo Zhu
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  3. Youguang Guo
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Correspondence to Gang Lei .

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Lei, G., Zhu, J., Guo, Y. (2016). Introduction. In: Multidisciplinary Design Optimization Methods for Electrical Machines and Drive Systems. Power Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49271-0_1

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  • DOI: https://doi.org/10.1007/978-3-662-49271-0_1

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