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The DeepBMS project enhances battery management systems in electric vehicles by integrating deep reinforcement learning with traditional techniques. This approach aims to improve state estimation accuracy and battery reliability across varying conditions, ultimately extending battery life and performance.
Battery Management System (BMS) plays a pivotal role in monitoring, control, and protecting the Electric Vehicle (EV) Lithium-ion battery packs.
In vehicular applications, batteries are usually subjected to harsh operating cycles and varying environmental conditions leading to very complicated interactions of different aging factors and unforeseeable modeling uncertainties.
Therefore, the classical model-based techniques cannot completely handle the foregoing factors, which always leave an unwan…
AALBORG UNIVERSITET
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