State-of-Charge Estimation of Lithium-Ion Batteries via Long Short-Term Memory Network

State-of-Charge Estimation of Lithium-Ion Batteries via Long Short-Term Memory Network

Accurate state-of-charge (SOC) estimation is critical for driving range prediction of electric vehicles and optimal charge control of batteries. In this paper, a stacked long short-term memory network is proposed to model the complex dynamics of lithium iron phosphate batteries and infer battery SOC...

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Bibliographic Details
Main Authors: Fangfang Yang, Xiangbao Song, Fan Xu, Kwok-Leung Tsui
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
State-of-charge estimation
lithium iron phosphate batteries
long short-term memory
recurrent neural network
unscented Kalman filter
Online Access:https://ieeexplore.ieee.org/document/8695733/

Internet

https://ieeexplore.ieee.org/document/8695733/

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