PyPEEC - 3D Quasi-Magnetostatic Solver

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PyPEEC is a 3D quasi-magnetostatic PEEC solver developed at Dartmouth College within the Power Management Integration Center (PMIC). PyPEEC is a fast solver (FFT and GPU accelerated) that can simulate a large variety of magnetic components (inductors, transformers, chokes, IPT coils, busbars, etc.). The tool contains a mesher (STL, PNG, and GERBER formats), a solver (static and frequency domain), and advanced plotting capabilities. The code is written in Python and is fully open source!

python 3 MPL-2.0 git / repo doi / cite doc / sphinx pypi / pkg conda / pkg

Important

PyPEEC features the following characteristics:

  • PEEC method with FFT acceleration.

  • Fast with moderate memory requirements.

  • Representation of the geometry with 3D voxels.

  • Parallel processing and GPU acceleration are available.

  • Import the geometry from STL, PNG, and GERBER files.

  • Draw the geometry with stacked 2D vector shapes or voxel indices.

  • Pure Python and open source implementation.

  • Can be used from the command line or with an API.

  • Advanced plotting and visualization capabilities.

  • Compatible with Jupyter notebooks.

  • Compatible with ParaView.

PyPEEC solves the following 3D quasi-magnetostatic problems:

  • Frequency domain solution (DC and AC).

  • Conductive and magnetic domains (ideal or lossy).

  • Isotropic, anisotropic, lumped, and distributed materials.

  • Connection of current and voltage sources.

  • Extraction of the current density, flux density, and potential.

  • Extraction of the terminal voltage, current, and power.

  • Computation of the free-space magnetic near-field.

PyPEEC has the following limitations:

  • No capacitive effects.

  • No dielectric domains.

  • No force computations.

  • No advanced boundary conditions.

  • No domain decomposition techniques.

  • No hierarchical matrix techniques.

  • No model order reduction techniques.

  • Limited to voxel geometries.

The PyPEEC package contains the following tools:

  • mesher - Create a 3D voxel structure from the geometry.

  • viewer - Visualization of the 3D voxel structure.

  • solver - Solve the quasi-magnetostatic problem.

  • plotter - Visualization of the problem solution.

Warning

The geometry is meshed with a regular voxel structure (uniform grid). Some geometries/problems are not suited for voxel structures (inefficient meshing). For such cases, PyPEEC can be very slow and consume a lot of memory.

Note

Dartmouth and PMIC