Prediction of Lithium-Ion Battery Health Using GRU-BPP

Prediction of Lithium-Ion Battery Health Using GRU-BPP

Accurate prediction of lithium-ion batteries’ (LIBs) state-of-health (SOH) is crucial for the safety and maintenance of LIB-powered systems. This study addresses the variability in degradation trajectories by applying gated recurrent unit (GRU) networks alongside principal component analysis (PCA),...

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Bibliographic Details
Main Authors: Sahar Qaadan, Aiman Alshare, Alexander Popp, Benedikt Schmuelling
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Batteries
Subjects:
model performance test
gated recurrent unit
state of health
Granger causality analysis
clustering
principal component analysis
Online Access:https://www.mdpi.com/2313-0105/10/11/399
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