Causal Physics-Infused Hybrid Learning (CPIHL) Framework for Next-Gen Battery Health Forecasting

A novel hybrid model, denoted by Causal Physics-Informed Hybrid Learning Neural Networks (CPIHL), is developed in this study to significantly enhance the accuracy, interoperability, and real-time feasibility of battery health predictions. The model incorporates the effects of temperature and voltage...

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Prif Awduron:	Sahar Qaadan, Aiman Alshare, Rami Alazrai, Alexander Popp, Benedikt Schmuelling
Fformat:	Artigo
Iaith:	Inglês
Cyhoeddwyd:	IEEE 2025-01-01
Cyfres:	IEEE Access
Pynciau:	Causality analysis deep learning hybrid learning lithium-ion battery degradation physics-infused model state of health
Mynediad Ar-lein:	https://ieeexplore.ieee.org/document/10945873/
Tagiau:	Ychwanegu Tag Dim Tagiau, Byddwch y cyntaf i dagio'r cofnod hwn!