A generalizable, data-driven online approach to forecast capacity degradation trajectory of lithium batteries
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Title
A generalizable, data-driven online approach to forecast capacity degradation trajectory of lithium batteries
Authors
Keywords
Battery prognosis, Machine learning, Time series forecasting, Online prediction, Lithium metal batteries
Journal
Journal of Energy Chemistry
Volume 68, Issue -, Pages 548-555
Publisher
Elsevier BV
Online
2021-12-11
DOI
10.1016/j.jechem.2021.12.004
References
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