A State-of-Health Estimation Method for Lithium Batteries Based on Fennec Fox Optimization Algorithm–Mixed Extreme Learning Machine

A reliable and accurate estimation of the state-of-health (SOH) of lithium batteries is critical to safely operating electric vehicles and other equipment. This paper proposes a state-of-health estimation method based on fennec fox optimization algorithm–mixed extreme learning machine (FFA-MELM). Fi...

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Bibliographic Details
Published in:	Batteries (Basel) Vol. 10; no. 3; p. 87
Main Authors:	Sun, Chongbin, Qin, Wenhu, Yun, Zhonghua
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.03.2024
Subjects:	Accuracy Aging Algorithms Analysis Artificial neural networks Content analysis Datasets Deep learning Electric vehicles extreme learning machine Failure fennec fox optimization algorithm grey relational analysis Health Lithium Lithium batteries Lithium cells Machine learning Mathematical optimization Methods Neural networks Optimization Optimization algorithms Partial differential equations Reliability (Engineering) state-of-health Temperature China
ISSN:	2313-0105, 2313-0105
Online Access:	Get full text
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