Robustness of Dynamic FEA-based Demagnetization Calculation in the Multi-Objective Optimization of PM-assisted Synchronous Reluctance Motor with Blended Magnets
- Resource Type
- Conference
- Authors
- Wilson, Robin; Kumar, Praveen; Al-Qarni, Ali; Ma, Qingqing; El-Refaie, Ayman
- Source
- 2023 IEEE International Electric Machines & Drives Conference (IEMDC) Electric Machines & Drives Conference (IEMDC), 2023 IEEE International. :1-7 May, 2023
- Subject
- Power, Energy and Industry Applications
Heuristic algorithms
Metaheuristics
Traction motors
Permanent magnets
Robustness
Magnetic analysis
Topology
multi-objective optimization
blended magnets
iron nitride magnet
demagnetization
- Language
This paper analyzes the impact of FEA-based demagnetization assessment methods on the multi-objective optimization analysis of 2-layer PM-assisted Synchronous reluctance motor having two magnet combinations of rare earth permanent magnets (NdFeB) with Iron Nitride (FeN) magnets and Dysprosium free NdFeB (Dy-free NdFeB) with FeN magnets. The 2-layer Chevy-Bolt traction motor with NdFeB magnets is considered as the baseline design. The metaheuristic optimization based on Differential Evolution (DE) algorithm is used for the multi-objective optimization analysis of the machine. Detailed comparison and analysis of four methods of demagnetization computation namely, knee point method, percentage demagnetization method, peak current based back-emf (B-EMF) reduction method and conventional B-EMF reduction methods are discussed in this paper. The demagnetization study is evaluated for the best designs obtained from the optimization analysis at extreme temperatures of -20°C and 150°C. The impact of these methods on the pareto front obtained from the optimization procedure is also analyzed.