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Application-Oriented Design Optimization Methods for Electrical Machines

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Multidisciplinary Design Optimization Methods for Electrical Machines and Drive Systems

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

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Abstract

From the perspective of engineering applications, the design optimization of electrical machines and drive systems are generally proposed with several specific requirements and constraints, such as the rated torque, the rated speed, the given volume and mass, etc. Therefore, the corresponding design optimization problems are actually oriented by the applications. This chapter aims to develop an application-oriented design optimization method for electrical machines by the deterministic and robust design approaches, respectively. Two kinds of applications are investigated. The first one is about the design optimization of permanent magnet soft magnetic composite machines for compressor drives in refrigerators and air-conditioners. The second one is about the design optimization of flux-switching permanent magnet machines for hybrid electric vehicle drives.

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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). Application-Oriented Design Optimization Methods for Electrical Machines. 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_7

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  • DOI: https://doi.org/10.1007/978-3-662-49271-0_7

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-49269-7

  • Online ISBN: 978-3-662-49271-0

  • eBook Packages: EnergyEnergy (R0)

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