Koichi Yakawa
MBD Innovation Department, Integrated Control System Development Division,
Mazda Motor Corporation
Abstract
In this presentation, we will introduce a method for exploring specifications that efficiently satisfy multiple performance requirements through parametric optimization.
In the development of electric vehicle motors, manual adjustments take time to derive specifications that resolve conflicting multi-performance issues.
In order to reduce the calculation time for multi-performance optimization, we created a machine learning model based on JMAG calculation results, incorporated it into the optimization tool, and performed optimization.
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