Artificial Intelligence for Power Electronics in Electric Vehicles: Challenges and Opportunities
Progress in the field of power electronics within electric vehicles has generally been driven
by conventional engineering design principles and experiential learning. Power electronics …
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
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 …
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 …
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 …
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
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 …
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 …
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 …
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 …
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 …
meeting the requirement of SiC power device, especially when multiple design constraints …