An overview of artificial intelligence applications for power electronics

Shuai Zhao, Frede Blaabjerg, Huai Wang*

*Corresponding author

Research output: Contribution to journalReview articleResearchpeer-review

7 Citations (Scopus)


This article gives an overview of the artificial intelligence (AI) applications for power electronic systems. The three distinctive life-cycle phases, design, control, and maintenance are correlated with one or more tasks to be addressed by AI, including optimization, classification, regression, and data structure exploration. The applications of four categories of AI are discussed, which are expert system, fuzzy logic, metaheuristic method, and machine learning. More than 500 publications have been reviewed to identify the common understandings, practical implementation challenges, and research opportunities in the application of AI for power electronics. This article is accompanied by an Excel file listing the relevant publications for statistical analytics.
Original languageEnglish
Article number9200511
JournalIEEE Transactions on Power Electronics
Issue number4
Pages (from-to)4633-4658
Number of pages26
Publication statusPublished - Apr 2021

Bibliographical note

Funding Information:
Manuscript received June 4, 2020; revised August 6, 2020; accepted September 11, 2020. Date of publication September 18, 2020; date of current version November 20, 2020. This work was supported in part by the Innovation Fund Denmark through the project of Advanced Power Electronic Technology and Tools, and in part by the Villum Foundation through the project of Light-AI for Cognitive Power Electronics. Recommended for publication by Associate Editor Prof. Kyo-Beum Lee. (Corresponding author: Huai Wang.) The authors are with the Department of Energy Technology, Aalborg University, 9220 Aalborg, Denmark (e-mail:;;

Publisher Copyright:
© 1986-2012 IEEE.

Copyright 2020 Elsevier B.V., All rights reserved.


  • Artificial intelligence (AI)
  • design
  • intelligent controller
  • power electronic systems
  • predictive maintenance
  • prognostics and health management (PHM)


Dive into the research topics of 'An overview of artificial intelligence applications for power electronics'. Together they form a unique fingerprint.

Cite this