Optimization of a 12-Slot/10-Pole, Asymmetrical, Six-Phase IPM Considering Healthy and Open-Phase Fault Post Operation in EV Applications

被引:1
|
作者
Abdel-Wahed, Ahmed T. [1 ]
Ullah, Zia [2 ]
Abdel-Khalik, Ayman S. [1 ]
Hamad, Mostafa S. [3 ]
Ahmed, Shehab [2 ]
Elmalhy, Noha [1 ]
机构
[1] Alexandria Univ, Dept Elect Engn, Alexandria 21544, Egypt
[2] King Abdullah Univ Sci & Technol, Comp Elect & Math Sci & Engn CEMSE Div, Thuwal 23955, Saudi Arabia
[3] Arab Acad Sci Technol & Maritime Transport, Res & Dev Ctr, Al Alamein 5060305, Egypt
来源
IEEE ACCESS | 2024年 / 12卷
关键词
Motors; Windings; Optimization; Torque; Topology; Power capacitors; Permanent magnets; Finite element analysis; Fault tolerance; Interior permanent magnet (IPM) synchronous machine; finite element (FE) optimization; electric vehicles; fault tolerance multiphase machines; multi-stage optimization; open-phase fault; post-fault operation; DESIGN OPTIMIZATION; PM MACHINES; MOTOR; 3-PHASE;
D O I
10.1109/ACCESS.2024.3401845
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Permanent magnet (PM) machines equipped with fractional slot concentrated windings (FSCW) offer a compelling solution for electric vehicles (EVs), boasting high torque and power density, high efficiency, a wide operational range, and several other advantageous features. However, faults can impair the magnets' performance, leading to significant issues that negatively affect the EVs' performance and worsen motor reliability. Although fault tolerance can be maintained through innovative control schemes to meet specific performance criteria, these solutions often introduce side issues, such as torque ripple. While extensive studies have focused on mitigating these side issues through control techniques, incorporating solutions at the design stage remains underexplored. This paper presents the design and optimization of a 12-slot / 10-pole permanent magnet synchronous motor (PMSM) aimed at achieving high-quality operation in both healthy conditions and post fault operation under an open-phase fault. A finite element-based multi-objective optimization using a genetic algorithm is proposed to optimize the machine by maximizing average torque and minimizing torque ripple during both healthy operation and in the case of an open phase fault. Embarking on an exploration of diverse rotor topologies and their implications, this study engages in comprehensive theoretical and simulation analyses. The research initiative involves the design and simulation of a 15-kW Interior Permanent Magnet (IPM) motor, crafted to emulate the characteristics of a practical light-duty Electric Vehicle (EV). To validate the conceptual framework, empirical testing is conducted using a 2-kW laboratory-scale Surface-Mounted Permanent Magnet (SPM) motor.
引用
收藏
页码:72345 / 72360
页数:16
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