Optimization of Power Density of Axial Flux Permanent Magnet Brushless DC Motor for Electric Two-Wheeler

The main objective of this work is to optimize the power density axial flux permanent magnet brushless dc (PMBLDC) motor based on genetic algorithm (GA) technique for performance improvement electric 2-wheeler. Power one important parameter as it significantly influences overall Firstly, rating determined according application requirements and vehicular dynamics. Axial PMBLDC 250 W, 150 rpm designed fit in rim 2-wheeler assumption various design variables. salient contribution suggest best combination variables with GA optimization optimization. Comparative analysis carried out between initially optimized motor. Finally, 3 dimensional (3-D) finite element (FEA) performed verify results obtained from Results FEA fairly validates initial design. It analyzed that enhanced by 42.85 % proposed technique. implementable complexity free. may further be applied a non-linear comprising different variables.
 HIGHLIGHTS
 
 motors are most compatible vehicle applications
 parameters motors
 Optimization improves drive range vehicle
 Influential identified parametric its an optimization
 Proposed validated analysis
 GRAPHICAL ABSTRACT