Protocol for state-of-health prediction of lithium-ion batteries based on machine learning

Protocol for state-of-health prediction of lithium-ion batteries based on machine learning

Summary: Accurate estimates of State of Health (SoH) are critical for characterizing the aging of lithium-ion batteries. This protocol combines feature extraction and a representative machine learning algorithm (i.e., least-squares support vector machine) for SoH prediction of lithium-ion batteries....

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Bibliographic Details
Main Authors: Xing Shu, Shiquan Shen, Jiangwei Shen, Yuanjian Zhang, Guang Li, Zheng Chen, YongGang Liu
Format: Article
Language:English
Published: Elsevier 2022-06-01
Series:STAR Protocols
Subjects:
Physics
Energy
Material sciences
Computer sciences
Online Access:http://www.sciencedirect.com/science/article/pii/S2666166722001526

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http://www.sciencedirect.com/science/article/pii/S2666166722001526

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