Convolutional Gated Recurrent Unit–Recurrent Neural Network for State-of-Charge Estimation of Lithium-Ion Batteries

Convolutional Gated Recurrent Unit–Recurrent Neural Network for State-of-Charge Estimation of Lithium-Ion Batteries

For most deep learning practitioners, recurrent networks are often used for sequence modeling. However, recent researches indicate that convolutional architectures may be used to optimize recurrent networks on some machine translation tasks. Problems here are which architecture we should use for a n...

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Bibliographic Details
Main Authors: Zhelin Huang, Fangfang Yang, Fan Xu, Xiangbao Song, Kwok-Leung Tsui
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
State-of-charge estimation
convolutional gated recurrent unit
lithium-ion battery
Online Access:https://ieeexplore.ieee.org/document/8759027/

Internet

https://ieeexplore.ieee.org/document/8759027/

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