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Application Catalog:
[JAC302] Optimization of IPM Motor Geometry and Coil Turns
Automotive drive and other motors must pursue greater efficiency at lower costs.
Designers have to optimize not only the dimensions of the motor geometry but also the winding design to find solutions that can satisfy these sophisticated requirements.
Discrete optimizations are effective when using integer values to set the number of coil turns and standard wire diameters as design variables. These optimizations can also account for the thickness of laminated steel sheet. An optimization that treats these variables as continuous values require designers to round the optimization results to the nearest integer feasible for the design before running another analysis. These subsequent simulations often encounter problems, such as results that no longer satisfy the constraint conditions after rounding the optimization results. A discrete optimization can precisely evaluate the objective functions and constraint conditions.
This case study optimizes IPM motor geometry and coil turns by using objective functions to maximize the average efficiency of several operating points and minimize the volume to lower costs.
Please see the website for “Optimization Conditions” and “Optimization Results”.
Sample data is available to JMAG proper users and requires license ID to access.
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