Data-Driven Prediction Methods for Lithium-Ion Battery State of Health Based on Elbow Rule

Data-Driven Prediction Methods for Lithium-Ion Battery State of Health Based on Elbow Rule

Lithium-ion batteries are extensively utilized in diverse sectors such as automotive applications. The imprecise estimation of the State Of Health (SOH) will significantly impact safe operations and cost reduction initiatives. Addressing challenges in extracting aging features and the complexity of...

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Bibliographic Details
Main Authors: Liu Zhang, Bo Xing, Yanbing Gao, Lei Yao, Dengfeng Zhao, Jinquan Ding, Yanyan Li
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
BP neural network
incremental capacity
elbow rule
Gaussian process regression
lithium-ion battery
Online Access:https://ieeexplore.ieee.org/document/10701285/
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