Improved Immune Algorithm Combined with Steepest Descent Method for Optimal Design of IPMSM for FCEV Traction Motor

In this paper, an improved immune algorithm (IIA) was proposed for the torque ripple reduction optimal design of interior permanent magnet synchronous motor (IPMSM) a fuel cell electric vehicle (FCEV) traction motor. When designing machines, both global and local solutions designs are required as result should be compared in various aspects, including torque, ripple, cogging torque. To lessen computational burden optimization using finite element analysis, IIA proposes method to efficiently adjust generation additional samples. The superior performance verified through comparison results with conventional methods three mathematical test functions. IPMSM conducted verify applicability practical machines.