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Tutorial: Artificial Intelligence-assisted Applications in Power Electronics

Activity: Talks and presentations › Conference presentations

Description

Artificial intelligence (AI) has been integrated into power electronic systems (PES) since the 1990s, primarily for purposes such as design, intelligent control, diagnostics, and prognostics. Nevertheless, the initial promise of competitive AI-driven solutions has not materialized, and their adoption within the industrial sector has remained limited. Presently, this landscape has undergone a substantial transformation, with the recognition that cutting-edge AI tools hold the potential to confer significant advantages on power electronics. This shift is particularly relevant as PES increasingly evolve into data-intensive systems.

The primary objective of this tutorial is to offer a systematic overview of the latest advancements in AI-assisted applications for power electronics. Situated at the intersection of data science and power electronics, this tutorial will start with a structured introduction to AI-assisted data-driven applications for PES. The subsequent part will present several representative case studies, including thermal modeling for temperature prediction, condition monitoring through digital twin technology, parameter estimation utilizing physics-informed machine learning, remaining useful life prediction through information fusion techniques, etc. In conclusion, this tutorial will conclude with a discussion of ongoing initiatives, prospects for novel AI tools, prospects for edge implementation, open-source data/tools, and emerging opportunities within this dynamic and synergistic domain.
Period17 May 2024
Event title2024 International Power Electronics and Motion Control Conference (IPEMC 2024 ECCE Asia)
Event typeConference
LocationChengdu, ChinaShow on map
Degree of RecognitionInternational

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