Optimization of Power Density of Axial Flux Permanent Magnet Brushless DC Motor for Electric Two-Wheeler
DOI:
https://doi.org/10.48048/tis.2021.497Keywords:
Axial flux PMBLDC motor, Power density, FEA, Optimization, Genetic algorithmAbstract
The main objective of this work is to optimize the power density of axial flux permanent magnet brushless dc (PMBLDC) motor based on genetic algorithm (GA) technique for performance improvement of electric 2-wheeler. Power density is one of the important performance parameter of motor as it significantly influences overall performance of electric 2-wheeler. Firstly, the rating of electric motor is determined according to the application requirements and vehicular dynamics. Axial flux PMBLDC motor of 250 W, 150 rpm is designed to fit in to the rim of electric 2-wheeler based on assumption of various design variables. The salient contribution of this work is to suggest the best combination of design variables with the application of GA optimization technique for power density optimization. Comparative performance analysis is carried out between initially designed motor and optimized motor. Finally, 3 dimensional (3-D) finite element analysis (FEA) is performed to verify the results obtained from design optimization. Results obtained from FEA fairly validates the initial design and optimized design. It is analyzed that the power density of motor is enhanced by 42.85 % with the proposed optimization technique. The proposed technique is implementable and complexity free. It may further be applied to the performance improvement of a non-linear design comprising different design variables.
HIGHLIGHTS
- Axial flux permanent magnet motors are the most compatible in electric vehicle applications
- Power density is one of the important performance parameters of axial flux permanent magnet motors
- Optimization of power density improves drive range and overall performance of electric vehicle
- Influential design variables are identified based on parametric analysis and its optimization is carried out with an GA based optimization technique with an objective of power density optimization
- Proposed optimization technique is validated with finite element analysis
GRAPHICAL ABSTRACT
Downloads
Metrics
References
V Sarac. Performance optimization of permanent magnet synchronous motor by cogging torque reduction. J. Electr. Eng. 2019; 70, 218-26.
CC Chan. Axial field electrical machines-design and applications. IEEE Trans. Energ. Convers. 1987; EC-2, 294-300.
RL Ficheux, F Caricchi, F Crescimbini and O Honorati. Axial flux permanent magnet motor for direct drive elevator system without machine room. IEEE Trans. Ind. Appl. 2001; 37, 1693-701.
PR Upadhyay, KR Rajagopal and BP Singh. Computer aided design of an axial-field permanent magnet brushless dc motor for electrical vehicle. J. Appl. Phys. 2003; 93, 8689-91.
M Aydin, S Huang and TA Lipo. Axial flux permanent magnet disc machines: A review. In: Proceedings of the Symposium on Power Electronics, Electrical Drives, Automation and Motion, Capri, Italy. 2004, p. 61-71.
XD Xue, KWE Cheng, TW Ng and NC Cheung. Multi-objective optimization design of in-wheel switched reluctance motors in electric vehicles. IEEE Trans. Ind. Electron. 2010; 57, 2980-7.
X Yang, D Patterson and J Hudgins. Multi-objective optimization of a single sided axial flux permanent magnet machine. In: Proceedings of the International Conference on Electrical Machines and Systems, Busan, South Korea. 2013, p. 822-5.
G Cvetkovski and L Petkovska. Multi-objective optimal design of permanent magnet synchronous motor. In: Proceedings of the IEEE International Power Electronics and Motion Control Conference, Varna, Bulgaria. 2016, p. 605-10.
MN Azari, M Samami and SMA Pahnehkolaei. Optimal design of a brushless DC motor, by cuckoo optimization algorithm. Int. J. Eng. Trans. B Appl. 2017; 30, 668-77.
R Ilka, AR Tilaki, H Asgharpour-Alamdari and R Baghipour. Design optimization of permanent magnet-brushless dc motor using elitist genetic algorithm with minimum loss and maximum power density. Int. J. Mechatron. Electr. Comput. Tech. 2014; 4, 1169-85.
B Cheng, G Pan and Z Mao. Analytical calculation and optimization of the segmented-stator dual-rotor axial flux permanent magnet motors. IEEE Trans. Magn. 2020; 56, 1-9.
P Kumar and S Majhi. Introduction to hybrid and electrical vehicle - Module 2: Dynamics of electric and hybrid vehicles. NPTEL, Chennai, India, 2013, p. 1-28.
A Nair and KR Rajagopal. Generic model of an electrical vehicle for dynamic simulation and performance prediction. In: Proceedings of the International Conference on Electrical Machines and Systems, Incheon, South Korea. 2010, p. 753-7.
DC Hanselman. Brushless permanent magnet motor design. McGraw-Hill, New York, 1994.
JR Handershot and TJE Miller. Design of brushless permanent magnet motors. Magna Physics, Oxford, UK, 1994.
AH Levent, A Lordoglu and MG Aydeniz. Design and optimization of permanent magnet synchronous motor for electric vehicle applications. In: Proceedings of the 2nd Global Power, Energy and Communication Conference, Izmir, Turkey. 2020, p. 148-51.
Downloads
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
