Battery State-of-Health Estimation Using Machine Learning and Preprocessing with Relative State-of-Charge

Battery State-of-Health Estimation Using Machine Learning and Preprocessing with Relative State-of-Charge

Because lithium-ion batteries are widely used for various purposes, it is important to estimate their state of health (SOH) to ensure their efficiency and safety. Despite the usefulness of model-based methods for SOH estimation, the difficulties of battery modeling have resulted in a greater emphasi...

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Bibliographic Details
Main Authors: Sungwoo Jo, Sunkyu Jung, Taemoon Roh
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Energies
Subjects:
data preprocessing
data-driven approaches
lithium-ion battery
neural network
state of charge
SOH estimation
Online Access:https://www.mdpi.com/1996-1073/14/21/7206

Internet

https://www.mdpi.com/1996-1073/14/21/7206

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