Design and Optimization of Interior Permanent Magnet (IPM) Motor for Electric Vehicle Applications

Optimal Design of a Low-Cost Sae Ja2954 Compliant Wpt System Using Nsga Ii

“…The NSGA-II algorithm has been selected because it is the most widely used and cited multi-objective algorithm in the literature (Ma, Zhang, Sun, Liu, & Shan, 2023;Verma, Pant, & Snásel, 2021) with good results. Specifically, this algorithm has been used, in its basic, modified or hybridised version, to solve multiple problems in all types of electrical engineering applications, both in optimal asset location and design and even in the determination of control parameters, such as, for example: in Shahryari, Shayeghi, and Moradzadeh (2018) is used to decide the optimal placement of D-STACOMS in a distributed generation power grid, in Zhang et al (2019) for the optimal design of a hybrid solar-wind-battery power generation system to supply the power demand of DC facilities and AC cooling equipment of a mobile base station on a small remote island, Wang, Li, Ding, Cheng, and Buja (2023) proposes a parallel DC power system planning method as a demand-side management method to maximise stability gain, economic benefits and RES penetration, In Heydari et al (2023) an intelligent photovoltaic power output forecasting (PV-OP) model is developed, in Blažek, Prokop, Misak, Kedron, and Pergl (2023) the power consumption in home microgrids with V2G is optimised, in Abid, Ahshan, Al-Abri, Al-Badi, and Albadi (2023) a simultaneous optimal solution technique for distributed renewable generation and the sizing and placement of virtual synchronous generators in distribution grids is proposed, in Balasubramanian et al (2023) it is used for the optimal design of the permanent magnet inner motor of an EV, Ranjan and Mishra (2015) uses it for the optimal design of a three-phase squirrel cage asynchronous motor, in Mohammadi, Trovão, and Antunes (2020) it optimises the design of a hybrid synchronous excitation machine for electric vehicles, depending on the hybridisation ratio and minimising the material cost, in Ding, Yang, and Xiong (2021) it is used for the optimal design of a traction transformer for high-speed trains, in Abunike, Okoro, and Davidson (2021), El-Nemr, Afifi, Rezk, and Ibrahim (2021) a three-phase four-pole switched reluctance motor (SRM) is optimally designed, in Liu, Wei, Cai, and Yuan (2020) proposes an optimal design method for the 315 kVA three-phase amorphous metal distribution transformer, in Xu, Zhu, Zhang, Zhang, and Quan (2021) proposes the optimal design of a dual-stator linear rotating permanent magnet generator (DSLRPM) with Halbach PM array for marine energy harvesting, in Pan and Fang (2022) uses the algorithm to find the optimal solution to the combination of structural parameters and obtain the optimal efficiency of a permanent magnet arc motor with hybrid dualstator excitation, in Wang, Han, Chen, Song, and Yuan (2022), the volume and ...…”

Study on the impact of uncertain design parameters on the performances of a permanent magnet-assisted synchronous reluctance motor

“…Among the different types of electrical machines used in electric vehicles, Permanent Magnet Assisted Synchronous Reluctance Machines (PMaSynRelM) are one of the most used machines nowadays [1][2][3]. Unlike Surface-Mounted Permanent Magnet Synchronous Machines (SMPMSM), PMaSynRelM exploits two types of torque: hybrid torque generated using permanent magnets and, reluctance torque which makes a profit of the machine's saliency.…”