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

P Paret, D Finegan… - Journal of …, 2023 - asmedigitalcollection.asme.org
Progress in the field of power electronics within electric vehicles has generally been driven
by conventional engineering design principles and experiential learning. Power electronics …

Intelligent Traction Inverter in Next Generation Electric Vehicles: The Health Monitoring of Silicon-Carbide Power Modules

C Pino, A Sitta, G Castagnolo… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
In automotive and industrial domains, the “health monitoring” or “condition monitoring” of
electronic devices is gradually playing a key role in manufacturing processes and innovation …

Condition monitoring of power electronic systems through data analysis of measurement signals and control output variables

F Yüce, M Hiller - IEEE Journal of Emerging and Selected …, 2021 - ieeexplore.ieee.org
A major disadvantage of existing condition monitoring methods is the need for additional
sensors and measuring equipment. In this work, this disadvantage is eliminated by …

An Outlook on Power Electronics Reliability and Reliability Monitoring

H A. Martin, E CP Smits, R H. Poelma… - Recent Advances in …, 2024 - Springer
The increasing awareness of environmental concerns and sustainability underlines the
importance of energy-efficient systems, renewable energy technologies, electric vehicles …

Towards Predictive Lifetime-Oriented Temperature Control of Power Electronics in E-vehicles via Reinforcement Learning

A Chu, X Xie, CM Hermann, W Stork… - … Conference on Big …, 2023 - ieeexplore.ieee.org
As the electric vehicle (EV) industry rapidly grows, the reliability of EVs is an ongoing
challenge to the automotive industry. Among them, due to the introduction of electric motors …

The decreasing hazard rate phenomenon: A review of different models, with a discussion of the rationale behind their choice

E Chiodo, G Mazzanti - Electronics, 2021 - mdpi.com
It is well known that, especially in the field of electronic components reliability studies and
applications, the Exponential reliability model is by far the most adopted, although the data …

Improved Reliability Prediction in Engineering Systems Based on Artificial Neural Network

M Sobhana, GSS Preethi, GH Sri… - … Mobile and Embedded …, 2022 - ieeexplore.ieee.org
Customers have high expectations for the reliability of products they use. It is important for
the companies to meet those expectations. Reliability performs a very crucial role for getting …

Implementing Ensemble Learning to Predict Temperature Variables of Power Electronics Devices

W Dai, Q Tang, Z Wang, J Cong, K Xue… - 2022 23rd …, 2022 - ieeexplore.ieee.org
With the increasing demand of time-to-market efficiency in microelectronics product industry,
accelerating product design becomes a crucial task. However, this product design is an …

[PDF][PDF] Fast Prediction of JTE Breakdown Performance in SiC Power Device Using TCAD Augmented Machine Learning

L Lin, L Zhang, X Wang, J Hu, Y Zhang - papers.ssrn.com
Abstract The design of Junction Termination Extension (JTE) parameters is a critical step for
meeting the requirement of SiC power device, especially when multiple design constraints …