Artificial Intelligence for Power Electronics in Electric Vehicles: Challenges and Opportunities

Paret, Paul; Finegan, Donal; Narumanchi, Sreekant

doi:10.1115/1.4056306

Title: Artificial Intelligence for Power Electronics in Electric Vehicles: Challenges and Opportunities

Journal Article · Fri Dec 09 00:00:00 UTC 2022 · Journal of Electronic Packaging

DOI: https://doi.org/10.1115/1.4056306 · OSTI ID:1902146

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^[1]

National Renewable Energy Laboratory (NREL), Golden, CO (United States)

We report progress in the field of power electronics within electric vehicles has generally been driven by conventional engineering design principles and experiential learning. Power electronics is inherently a multidomain field where semiconductor physics and electrical, thermal, and mechanical design knowledge converge to achieve a practical realization of desired targets in the form of conversion efficiency, power density, and reliability. Due to the promising nature of artificial intelligence in delivering rapid results, engineers are starting to explore the ways in which it can contribute to making power electronics more compact and reliable. Here, we conduct a brief review of the foray of artificial intelligence in three distinct subtechnologies within a power electronics system in the context of electric vehicles: semiconductor devices, power electronics module design and prognostics, and thermal management design. The intent is not to report an exhaustive literature review, but to identify the state of the art and opportunities for artificial intelligence to play a meaningful role in power electronics design from a mechanical and thermal standpoint, as well as to discuss a few promising future research directions.

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Research Organization:: National Renewable Energy Laboratory (NREL), Golden, CO (United States)

Sponsoring Organization:: USDOE

Grant/Contract Number:: AC36-08GO28308

OSTI ID:: 1902146

Report Number(s):: NREL/JA-5400-81720; MainId:82493; UUID:25488035-30af-4ee0-a712-32c0c046bd4e; MainAdminID:68167

Journal Information:: Journal of Electronic Packaging, Journal Name: Journal of Electronic Packaging Journal Issue: 3 Vol. 145; ISSN 1043-7398

Publisher:: ASMECopyright Statement

Country of Publication:: United States

Language:: English

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33 ADVANCED PROPULSION SYSTEMS
97 MATHEMATICS AND COMPUTING
artificial intelligence
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machine learning
power electronics
prognostics
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thermal management

Title: Artificial Intelligence for Power Electronics in Electric Vehicles: Challenges and Opportunities

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References (39)

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