Intelligent lithium plating detection and prediction method for Li-ion batteries based on random forest model

Intelligent lithium plating detection and prediction method for Li-ion batteries based on random forest model

Lithium plating in lithium-ion batteries (LIBs) is one of the main causes of safety accidents in electric vehicles (EVs). The study of intelligent machine learning-based lithium plating detection and warning algorithms for LIBs is of great importance. Therefore, this paper proposes an intelligent li...

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Bibliographic Details
Main Authors: Guangying Zhu, Jianguo Chen, Xuyang Liu, Tao Sun, Xin Lai, Yuejiu Zheng, Yue Guo, Rohit Bhagat
Format: Article
Language:English
Published: Elsevier 2025-02-01
Series:Green Energy and Intelligent Transportation
Subjects:
Lithium-ion battery
Lithium plating detection
Feature extraction
Random forest algorithm
Online Access:http://www.sciencedirect.com/science/article/pii/S2773153724000197
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http://www.sciencedirect.com/science/article/pii/S2773153724000197

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