The application discloses a kind of double-
stator permanent magnet motor multi-objective optimization design method and motor considering multiple working conditions performance, according to multiple operating
modes of double-
stator permanent magnet motor and corresponding torque, efficiency demand, determine the design parameters of inner and outer
stator and rotor and multi-working condition optimization target;Establish initialization
finite element simulation model, collect data by uniform sampling to design parameters and optimization target, carry out
correlation analysis and according to the result, eliminate the parameters with
low correlation;The conflict relationship between optimization targets is analyzed using the aggregation tree
algorithm, representative targets are extracted, and the target dimension reduction is completed;The reduced data is used to
train a proxy model, and the proxy model is applied to a multi-objective optimization
algorithm to optimize the motor performance.Finally, the
motor design scheme is simulated and evaluated.The application solves the problem of excessive design parameters and optimization targets caused by multiple working conditions and complex motor structure of double-stator
permanent magnet motor, and improves the optimization efficiency while improving the comprehensive performance.