RUL Prediction of Lithium-Ion Battery Based on Improved DGWO-ELM Method in a Random Discharge Rates Environment

RUL Prediction of Lithium-Ion Battery Based on Improved DGWO-ELM Method in a Random Discharge Rates Environment

Lithium-ion batteries are widely applied in many fields. It is important for predicting battery life (RUL). It is randomly discharged that the lithium-ion battery under random conditions. The experiment of constant current discharge cannot simulate the discharge state under working conditions. Based...

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Bibliographic Details
Main Authors: Jun Zhu, Tianxiong Tan, Lifeng Wu, Huimei Yuan
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Lithium-ion batteries
RUL
random discharge
DGWO
DE
ELM
Online Access:https://ieeexplore.ieee.org/document/8809676/

Internet

https://ieeexplore.ieee.org/document/8809676/

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