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 …
Gradient-based end-of-life criterion of power semiconductor modules
This paper proposes a gradient-based End-of-Life (EOL) criterion with the application
example in power semicon-ductor modules. The widely used criterion to determine the EOL …
example in power semicon-ductor modules. The widely used criterion to determine the EOL …
A reduced model based on proper generalized decomposition for the fast analysis of igbt power modules lifetime
A reduced weakly-coupled thermo-mechanical model based on the proper generalized
decomposition method was developed for the numerical analysis of power modules. The …
decomposition method was developed for the numerical analysis of power modules. The …
Physics-based modeling of packaging-related degradation of IGBT modules
This paper proposes an analytical model to fit degradation data of insulated gate bipolar
transistor (IGBT), based on physics understandings. Different from the empirical and data …
transistor (IGBT), based on physics understandings. Different from the empirical and data …
Iterative PGD model reduction for the strongly-coupled thermomechanical analysis of crack propagation in power electronic modules
The paper deals with the use of model reduction techniques to address parametrized
strongly-coupled multi-physics problems. Here, the focus is on the numerical study of power …
strongly-coupled multi-physics problems. Here, the focus is on the numerical study of power …
Probabilistic and physics-informed machine learning for predictive maintenance with time series data
PA Vu, E Aldea, M Bouarroudj… - … and Multi-Physics …, 2023 - ieeexplore.ieee.org
Physics-informed neural networks are capable of learning from both observation data and
the underlying physical laws. Meanwhile, their implementation in real application settings …
the underlying physical laws. Meanwhile, their implementation in real application settings …
A stochastic model-based prognostic for IGBT power module remaining useful life estimation using a physical model-based shape function
The widespread adoption of renewable energy sources (RES) is at the forefront of global
efforts, alongside systems electrification, to combat climate change and achieve the …
efforts, alongside systems electrification, to combat climate change and achieve the …