Design and Analysis of Memory Machine With Asymmetric Delta-Array Consequent Pole for Energy-Efficient Vehicular Applications
Yuming Yan, Shun Cai, Jiahao Chen, Shuai Wang, Benjamin Cheong, Chandana Jayampathi Gajanayake, Amit K. Gupta, Christopher H. T. Lee · IEEE Transactions on Energy Conversion · 2025
This article presents the design and analysis of memory machine with asymmetric delta-array consequent pole for energy-efficient vehicular applications. In comparison with conventional memory machines, the presented machine can achieve not only enhanced torque/power density, but also improved flux regulation capability. The underlying design guidelines are revealed according to the equivalent magnetic circuit model qualitatively. Moreover, the dimensional ratios of hybrid magnets are investigated based on the established non-linear asymmetric magnetic circuit model accounting for slotting effect to assess the air-gap flux density and flux regulation capability simultaneously. The presented machine inherently exhibits low-coupling between the armature fields and low-coercive-force magnet and provides desirable demagnetization withstanding capability during variable flux operations. Genetic algorithm oriented multi-objective optimization has been conducted to systematically optimize the presented machine in comparison with three conventional motors and its non-consequent pole counterpart. Finally, the presented prototype is fabricated, and dynamic experiments are carried out to verify the theoretical analysis and simulations.