Use of reluctance network modelling and software component to study the influence of electrical machine pole number on hybrid electric vehicle global optimization

DOI10.1016/j.matcom.2018.06.001OpenAlexW2808906679WikidataQ111898551 ScholiaQ111898551MaRDI QIDQ1997392

Yanyan Li

Publication date: 2 March 2021

Published in: Mathematics and Computers in Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.matcom.2018.06.001

zbMATH Keywords

global optimizationhybrid electric vehicleinterior permanent magnet synchronous machinepole numberreluctance network model

Mathematics Subject Classification ID

Basic methods for problems in optics and electromagnetic theory (78Mxx) Theory of software (68Nxx)

Related Items (1)

Investigation of optimal control for vibration and noise reduction in-wheel switched reluctance motor used in electric vehicle

Uses Software

• Matlab

Cites Work

• Unnamed Item
• DYNAMIC PROGRAMMING AND LAGRANGE MULTIPLIERS
• An optimizer using the software component paradigm for the optimization of engineering systems

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