Continuous trajectory representations of lithium-ion battery aging enable consistent knee-point detection and early remaining useful life predictions that remain robust across heterogeneous datasets.
and Liu, O
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Framework extracts capacity, degradation rate, and dV/dQ features from 25 BESS modules that statistically distinguish 25 faulty cell groups from 325 non-faulty ones, while resistance does not.
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Continuous ageing trajectory representations for knee-aware lifetime prediction of lithium-ion batteries across heterogeneous dataset
Continuous trajectory representations of lithium-ion battery aging enable consistent knee-point detection and early remaining useful life predictions that remain robust across heterogeneous datasets.
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Health feature extraction from battery energy storage system field fault data
Framework extracts capacity, degradation rate, and dV/dQ features from 25 BESS modules that statistically distinguish 25 faulty cell groups from 325 non-faulty ones, while resistance does not.