Browsing Faculty of Engineering & Applied Science by Subject "Battery fault diagnosis"
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Deep transfer-learning based lithium-ion battery fault diagnosis
(2022-08-01)Fault detection in lithium-ion batteries (LiB) is paramount to ensuring the long life and proper functioning of the batteries. To that end, this thesis proposes a combined fault diagnosis framework that leverages voltage ...