![]() Enforcing the MTPA in design leads to a wider torque-speed operating range and simpler operation in the expense of additional volum It is observed that driving cycle based motor designs benefit from a volume reduction and also ensures feasibility of all operating conditions. ![]() ![]() ![]() Alternatively, similar optimizations are performed without MTPA constraint by considering the number of winding turns as a variable. In each operation state, maximum torque per ampere (MTPA) constraint is enforced by changing the number of winding turns per slots. For operation in a nominal point, three power levels and for the driving cycle based operation, three driving cycles are considered. Different design options of the AFIM are considered and then optimized based on the proposed analytical model with the aim of minimizing the motor's volume and satisfy a set of predefined performance parameters for operation in a nominal point and also over a driving cycle. The analytical model is verified against 2D finite-element analysis. It allows a detailed modelling and accurate steady-state performance prediction of the AFIMs in a very short time (under 1 sec). This paper presents the optimization of axial-flux induction motors (AFIMs) for electric vehicles application by solving the Maxwell's equations inside five subdomains.
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