Diagnostic forecasting of battery degradation through contrastive learning
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DOI: 10.1038/s41598-025-17183-y
Abstract: Modeling lithium-ion battery (LIB) degradation offers significant cost savings and enhances the safety and reliability of electric vehicles (EVs) and battery energy storage systems (BESS). Whilst data-driven methods have received great attention for forecasting degradation,… read more here.
Keywords: diagnostic forecasting; battery; degradation; model ... See more keywords