
State of Health and Lifetime Prediction of Lithium-ion Batteries Using Self-learning Incremental Models
Author(s) -
Murilo Osorio Camargos,
Plamen Angelov
Publication year - 2022
Publication title -
proceedings of ... european conference of the prognostics and health management society.
Language(s) - English
Resource type - Journals
ISSN - 2325-016X
DOI - 10.36001/phme.2022.v7i1.3323
Subject(s) - prognostics , state of health , battery (electricity) , computer science , context (archaeology) , reliability engineering , nonlinear system , energy storage , engineering , data mining , power (physics) , paleontology , quantum mechanics , biology , physics