State of health estimation of lithium-ion batteries based on data-driven methods with a selected charging voltage interval

State of health estimation of lithium-ion batteries based on data-driven methods with a selected charging voltage interval

Accurate state of health (SOH) estimation of lithium-ion batteries is of great importance for achieving efficient energy management in the overall battery energy storage system. Traditional data-driven methods for the SOH estimation of lithium-ion batteries usually require an enormous amount of data...

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Bibliographic Details
Main Authors: Junguang Sun, Xiaodong Zhang, Wenrui Cao, Lili Bo, Changhai Liu, Bin Wang
Format: Article
Language:English
Published: AIMS Press 2025-03-01
Series:AIMS Energy
Subjects:
lithium-ion battery
state of health
data-driven methods
random forest regression
support vector regression
Online Access:https://www.aimspress.com/article/doi/10.3934/energy.2025012
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