Spatial-Temporal Self-Attention Transformer Networks for Battery State of Charge Estimation

Spatial-Temporal Self-Attention Transformer Networks for Battery State of Charge Estimation

Over the past ten years, breakthroughs in battery technology have dramatically propelled the evolution of electric vehicle (EV) technologies. For EV applications, accurately estimating the state-of-charge (SOC) is critical for ensuring safe operation and prolonging the lifespan of batteries, particu...

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Bibliographic Details
Main Authors: Dapai Shi, Jingyuan Zhao, Zhenghong Wang, Heng Zhao, Junbin Wang, Yubo Lian, Andrew F. Burke
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Electronics
Subjects:
lithium-ion battery
SOC
deep learning
estimation
transformer
electric vehicle
Online Access:https://www.mdpi.com/2079-9292/12/12/2598

Internet

https://www.mdpi.com/2079-9292/12/12/2598

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