IEEE Open Journal of Power Electronics (Jan 2025)

MagNet Challenge for Data-Driven Power Magnetics Modeling

  • Minjie Chen,
  • Haoran Li,
  • Shukai Wang,
  • Thomas Guillod,
  • Diego Serrano,
  • Nikolas Forster,
  • Wilhelm Kirchgassner,
  • Till Piepenbrock,
  • Oliver Schweins,
  • Oliver Wallscheid,
  • Qiujie Huang,
  • Yang Li,
  • Yu Dou,
  • Bo Li,
  • Sinan Li,
  • Emmanuel Havugimana,
  • Vivek Thomas Chacko,
  • Sritharini Radhakrishnan,
  • Mike Ranjram,
  • Bailey Sauter,
  • Skye Reese,
  • Shivangi Sinha,
  • Lizhong Zhang,
  • Tom McKeague,
  • Binyu Cui,
  • Navid Rasekh,
  • Jun Wang,
  • Song Liu,
  • Alfonso Martinez,
  • Xinyu Liu,
  • Chaoying Mei,
  • Rui Zhao,
  • Gaoyuan Wu,
  • Hao Wu,
  • Rui Zhang,
  • Hao Song,
  • Lie Zhang,
  • Yibo Lu,
  • Lijun Hang,
  • Neha Rajput,
  • Himanshu Bhusan Sandhibigraha,
  • Neeraj Agrawal,
  • Vishnu Mahadeva Iyer,
  • Xiaobing Shen,
  • Fanghao Tian,
  • Qingcheng Sui,
  • Jiaze Kong,
  • Wilmar Martinez,
  • Asier Arruti,
  • Borja Alberdi,
  • Anartz Agote,
  • Iosu Aizpuru,
  • Minmin Zhang,
  • Xia Chen,
  • Yuchen Dong,
  • Duo Wang,
  • Tianming Shen,
  • Yan Zhou,
  • Yaohua Li,
  • Sicheng Wang,
  • Yue Wu,
  • Yongbin Jiang,
  • Ziheng Xiao,
  • Yi Tang,
  • Yun-Shan Hsieh,
  • Jian-De Li,
  • Li-Chen Yu,
  • Tzu-Chieh Hsu,
  • Yu-Chen Liu,
  • Chin-Hsien Hsia,
  • Chen Chen,
  • Alessio Giuffrida,
  • Nicolo Lombardo,
  • Fabio Marmello,
  • Simone Morra,
  • Marco Pasquale,
  • Luigi Solimene,
  • Carlo Stefano Ragusa,
  • Jacob Reynvaan,
  • Martin Stoiber,
  • Chengbo Li,
  • Wei Qin,
  • Xiang Ma,
  • Boyu Zhang,
  • Zheng Wang,
  • Ming Cheng,
  • Wei Xu,
  • Jiyao Wang,
  • Youkang Hu,
  • Jing Xu,
  • Zhongqi Shi,
  • Dixant Bikal Sapkota,
  • Puskar Neupane,
  • Mecon Joshi,
  • Shahabuddin Khan,
  • Bowen Su,
  • Yunhao Xiao,
  • Min Yang,
  • Kai Sun,
  • Zhengzhao Li,
  • Reza Mirzadarani,
  • Ruijun Liu,
  • Lu Wang,
  • Tianming Luo,
  • Dingsihao Lyu,
  • Mohamad Ghaffarian Niasar,
  • Zian Qin,
  • Syed Irfan Ali Meerza,
  • Kody Froehle,
  • Han Cui,
  • Daniel Costinett,
  • Jian Liu,
  • Zhanlei Liu,
  • Cao Zhan,
  • Yongliang Dang,
  • Yukun Zhang,
  • Na Wang,
  • Yiting Chen,
  • Yiming Zhang,
  • Chushan Li,
  • Yinan Yao,
  • Tianxiang Hu,
  • Lumeng Xu,
  • Yiyi Wang,
  • Sichen Wang,
  • Shuai Jiang,
  • David Shumacher,
  • Dragan Maksimovic,
  • Ron S. Y. Hui,
  • Johann W. Kolar,
  • David J. Perreault,
  • Charles R. Sullivan

DOI
https://doi.org/10.1109/OJPEL.2024.3469916
Journal volume & issue
Vol. 6
pp. 883 – 898

Abstract

Read online

This article summarizes the main results and contributions of the MagNet Challenge 2023, an open-source research initiative for data-driven modeling of power magnetic materials. The MagNet Challenge has (1) advanced the state-of-the-art in power magnetics modeling; (2) set up examples for fostering an open-source and transparent research community; (3) developed useful guidelines and practical rules for conducting data-driven research in power electronics; and (4) provided a fair performance benchmark leading to insights on the most promising future research directions. The competition yielded a collection of publicly disclosed software algorithms and tools designed to capture the distinct loss characteristics of power magnetic materials, which are mostly open-sourced. We have attempted to bridge power electronics domain knowledge with state-of-the-art advancements in artificial intelligence, machine learning, pattern recognition, and signal processing. The MagNet Challenge has greatly improved the accuracy and reduced the size of data-driven power magnetic material models. The models and tools created for various materials were meticulously documented and shared within the broader power electronics community.

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