EMSOptimizer Science Solutions International Laboratory

This software is primarily intended for engineers and researchers involved in the design, development, and research of electrical equipment.
It is particularly well-suited for companies and research institutions seeking to implement optimal design methods with the goal of improving the performance of electrical equipment—such as motors—and reducing design effort.
It is also ideal for users who wish to build design workflows incorporating their own evaluation functions and optimization algorithms, as well as those who want to flexibly extend the software to fit their specific design and research processes.

This tool is useful in situations where there are many design variables, and it is difficult to manually explore optimal structures or design conditions.
It enables a seamless process of exploring new structures through topology optimization and optimizing parameters such as motor dimensions and winding conditions through integration with eMotorSolution.
Furthermore, by automatically repeating the analysis and optimization cycles, it efficiently compares and evaluates numerous design proposals, significantly reducing the time spent on trial and error.
Furthermore, by leveraging its Python-based extensibility, the software can be used to research new optimization algorithms and integrate them into your company’s proprietary design workflow.

EMSOptimizer is mathematical optimization software specialized for the design of electrical equipment. It automatically performs iterative analysis and optimization to efficiently search for the optimal structure and parameters that meet design requirements.
In addition to structural exploration via topology optimization, integration with eMotorSolution enables the optimization of motor parameters such as dimensions and winding conditions. Since structural optimization and parameter optimization can be freely combined, the software can flexibly handle even complex optimization problems.
Optimization processes can be easily executed via Python scripts and are simple to incorporate into batch processing, enabling automated exploration during periods when computers are idle, such as overnight.
Furthermore, EMSOptimizer is a Python-native optimization platform. Users can not only utilize the provided optimization algorithms but also implement and extend their own algorithms and evaluation functions. As a result, it can be used not only as a design optimization tool for practical applications but also as a research and development platform for optimization technology.