Modeling and Python Simulation of Magnetics for Power Electronics Applications

This book describes the role of magnetism in electrical engineering, starting from the most basic laws of physics, converted into simulation models such that electrical engineering students can learn by example and practice. The author demystifies a topic that many electrical engineers take for granted, providing readers the tools to be able to understand how any magnetic component works. He describes magnetic components like inductors and transformers in simple understandable language. Mathematical equations related to the basic laws of physics are described in detail along with the physical significance of the equations. Every application is supported by a simulation. All simulations are performed using free and open source software based on Python making the material in this book universally accessible.

Shivkumar Iyer is the creator of the free and open source circuit simulator Python Power Electronics. He completed his Bachelors, Master's and PhD in Electrical Engineering specializing in the field of power electronics. Subsequent to his PhD, he worked for five years in R&D positions in the power industry in India and Canada. He has published prolifically in international journals and conferences besides also being the author of two books 'Simulating Nonlinear Circuits using Python Power Electronics' and 'Digital Filter Design using Python for Power Engineering Applications' published with Springer International in 2018 and 2020 respectively.

 Shivkumar Iyer is now an independent researcher and educator. He has five online courses on MOOC platforms such as Udemy and Decibels Lab on using Python programming for electrical engineering. His courses have over two thousand students enrolled from over 90 countries in the world and some of the courses have been designated as 'Bestseller' courses in the category of electrical engineering. These online courses are video courses with presentations and code-along sessions. The objective of his teaching and research are to provide universally accessible education to aspiring engineers all over the world using open source computing tools such as Python.