4.8 Article

An Overview of Artificial Intelligence Applications for Power Electronics

Journal

IEEE TRANSACTIONS ON POWER ELECTRONICS
Volume 36, Issue 4, Pages 4633-4658

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TPEL.2020.3024914

Keywords

Power electronics; Fuzzy logic; Maintenance engineering; Expert systems; Optimization; Task analysis; Artificial intelligence (AI); design; intelligent controller; power electronic systems; predictive maintenance; prognostics and health management (PHM)

Funding

  1. Innovation Fund Denmark through the project of Advanced Power Electronic Technology and Tools
  2. Villum Foundation through the project of Light-AI for Cognitive Power Electronics

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This article provides an overview of the applications of artificial intelligence in power electronic systems, correlating the design, control, and maintenance phases with tasks addressed by AI. It discusses the applications of four categories of AI and reviews more than 500 publications to identify common understandings, practical challenges, and research opportunities in the field. The article includes an Excel file listing relevant publications for statistical analytics.
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.

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