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An Overview of Artificial Intelligence Applications for Power Electronics

IEEE Transactions on Power Electronics · 2020 · Vol. 36(4) · pp. 4633–4658
Shuai ZhaoFrede BlaabjergHuai Wang

Abstract

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.

Silicon Carbide Semiconductor TechnologiesMultilevel Inverters and ConvertersPhotovoltaic System Optimization TechniquesComputer scienceListing (finance)Artificial intelligenceFuzzy logicExpert systemPower electronicsElectronicsMachine learningAnalyticsMetaheuristic

Funding

  • Villum Fonden
  • Innovationsfonden
Citations
811
FWCI
41.09
field-weighted impact
References
176
Percentile
100%
vs. same field & year
Citations per year
References
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