Modelling and optimization of interior permanent magnet motor for electric vehicle applications and effect on sustainable transportation

Tools

Bhuiyan, Nurul Azim and Balasubramanian, Lavanya and Fahmy, Ashraf A. and Belblidia, Fawzi and Sienz, Johann; Scholz, Steffen G. and Howlett, Robert J. and Setchi, Rossi, eds. (2023) Modelling and optimization of interior permanent magnet motor for electric vehicle applications and effect on sustainable transportation. In: Sustainable Design and Manufacturing. Smart Innovation, Systems and Technologies, 338 . Springer Science and Business Media Deutschland GmbH, HRV, pp. 301-311. ISBN 9789811992049 (https://doi.org/10.1007/978-981-19-9205-6_29)

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Abstract

Electric vehicles support low‐carbon emissions that facilitate sustainable transportation. This paper explores different design parameters to optimize an interior permanent magnet synchronous motor that contributes to enhancing motor performance hence advancement of sustainable transportation. Various geometry parameters such as magnet dimension, machine diameter, stator teeth height, and number of pole pair are analysed to compare overall torque, power, and torque ripples in order to select the best design parameters and their ranges. Pyleecan, a comparatively new open-source software, is used to design and optimize the motor for electric vehicle applications. It is verified with Motor-CAD software to observe the performance of the Pyleecan software. Following optimisation with NSGA-II algorithm, two designs A and B were obtained for two different objective functions of maximizing torque and minimizing torque ripple and the corresponding torque ripples values of the design A and B are later reduced by 32% and 77%. Additionally, the impact of different magnet grades on the output performances are analysed.

ORCID iDs

Bhuiyan, Nurul Azim ORCID logoORCID: https://orcid.org/0000-0002-1646-2096, Balasubramanian, Lavanya, Fahmy, Ashraf A., Belblidia, Fawzi and Sienz, Johann; Scholz, Steffen G., Howlett, Robert J. and Setchi, Rossi
CORE (COnnecting REpositories)