State of Health Estimation for Batteries Based on a Dynamic Graph Pruning Neural Network with a Self-Attention Mechanism

The accurate estimation of the state of health (SOH) of lithium-ion batteries is critical for ensuring the safety, reliability, and efficiency of modern energy storage systems. Traditional model-based and data-driven methods often struggle to capture complex spatiotemporal degradation patterns, lead...

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Bibliografiske detaljer

Principais autores:	Xuanyuan Gu, Mu Liu, Jilun Tian
Format:	Artigo
Sprog:	Inglês
Udgivet:	MDPI AG 2025-10-01
Serier:	Energies
Fag:	lithium-ion battery self-attention dynamic graph pruning neural network with self-attention mechanism state of health estimation
Online adgang:	https://www.mdpi.com/1996-1073/18/20/5333
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