Abstract: This paper presents a novel digital twin for power modules in electric vehicles (EVs), utilizing physics-informed Artificial Intelligence (AI) to predict thermomechanical stresses.
Abstract: In recent years, deep learning techniques have substantially improved across numerous applications. However, these advancements come with the requirement for extensive human-labeled data, ...
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