A Novel State of Charge Approach of Lithium Ion Battery Using Least Squares Support Vector Machine

A Novel State of Charge Approach of Lithium Ion Battery Using Least Squares Support Vector Machine

Lithium-ion batteries(LIBs) have been used in electric vehicles(EVs) because of its high energy density and no pollution. As one of the important parameters of battery management system(BMS), accurately estimating the state-of-charge (SOC) can ensure the energy distribution and safe use of the batte...

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Bibliographic Details
Main Authors: Jiabo Li, Min Ye, Wei Meng, Xinxin Xu, Shengjie Jiao
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Lithium-ion batteries (LIBs)
electric vehicles (EVs)
state-of-charge (SOC)
sliding window method
least-squares-support-vector-machine (LSSVM)
grey wolf optimizer (GWO)
Online Access:https://ieeexplore.ieee.org/document/9237961/

Internet

https://ieeexplore.ieee.org/document/9237961/

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