A Lightweight Deep-Learning Algorithm for Welding Defect Detection in New Energy Vehicle Battery Current Collectors
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DOI: 10.1109/jsen.2024.3398769
Abstract: The future direction of global automotive development is electrification, and the battery current collector (BCC) is an essential component of new energy vehicle batteries. However, the welding defects in the BCC during the welding process… read more here.
Keywords: detection; deep learning; lightweight deep; battery current ... See more keywords
Reinforcement learning for the control of battery electrothermal behaviours in electric vehicles
Sign Up to like & getrecommendations! Published in 2018 at "Turkish Journal of Electrical Engineering and Computer Sciences"
DOI: 10.3906/elk-1802-117
Abstract: Battery lifetime is related, among other things, to the battery temperature and RMS battery current. This paper presents an improved energy management of battery / supercapacitors (SCs) hybrid energy storage system (HESS) in an electric… read more here.
Keywords: battery current; reinforcement learning; battery; battery temperature ... See more keywords