Remaining Useful Life Prediction of Lithium-Ion Batteries Based on Health Indicator and Gaussian Process Regression Model
Achieving accurate and reliable remaining useful life (RUL) prediction of lithium-ion batteries is very vital for the normal operation of the battery system. The direct RUL prediction based on capacity largely depends on the laboratory condition. A novel method that combines indirect health indicato...
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Veröffentlicht in: | IEEE access 2019, Vol.7, p.39474-39484 |
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Format: | Artikel |
Sprache: | eng |
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