Lithium-Ion Battery Ageing Behavior Pattern Characterization and State-of-Health Estimation Using Data-Driven Method

Lithium-Ion Battery Ageing Behavior Pattern Characterization and State-of-Health Estimation Using Data-Driven Method

This paper presents a study on Lithium-ion battery aging behaviors/patterns and related State-of-Health (SOH) indicators before presenting the development of data-driven based SOH estimators. Battery charge/discharge cycling experiments are conducted in order to obtain needed data for this work. The...

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Bibliographic Details
Main Authors: Zhiyong Xia, Jaber A. Abu Qahouq
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Battery
battery capacity
battery management system
data-driven
lithium-ion
neural network
Online Access:https://ieeexplore.ieee.org/document/9466141/

Internet

https://ieeexplore.ieee.org/document/9466141/

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