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Many-objective Optimization of IPM and Induction Motors for Automotive Application
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| Author(s) |
Konstantina BITSI |
| Abstract |
This paper presents a Pareto-optimality-based optimization methodology suitable for the design of electrical motors in automotive applications. The proposed many-objective evolutionary algorithm is utilized in this study case for the optimization of an interior permanent-magnet (IPM) synchronous motor and an induction motor (IM), considering as criteria the motors' torque capability, efficiency as well as torque density. Finite-element (FE) models of the investigated motor topologies are developed and incorporated in the optimization process in order to ensure an accurate estimation of their electromagnetic performance. The attainment of the targeted specifications by the final optimal designs validates the efficacy of the implemented optimization algorithm. |
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| Filename: | 0359-epe2019-full-08534893.pdf |
| Filesize: | 1.899 MB |
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| Type |
Members Only |
| Date |
Last modified 2020-08-14 by System |
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