| Project Detail |
The Princeton University team will use machine learning-enabled methods to transform the modeling and design methods of power magnetics and catalyze disruptive improvements to power electronics design tools. They will develop a highly automated, open-source, machine learning-based magnetics design platform to greatly accelerate the design process, cut the error rate in half, and provide new insights to magnetic material and geometry design. Princetons Simulation Program with its Integrated Circuit Emphasis-based, or SPICE-based modeling platform, will utilize a highly automated data acquisition testbed capable of measuring a large number of magnetic cores with a wide range of electrical circuit excitations, a machine-learning trained modeling method for modeling the core loss and saturation effects of magnetic materials, and a computer-aided-design tool which can synthesize the SPICE netlist for planar magnetics. |
