Lifetime and Aging Degradation Prognostics for Lithium-ion Battery Packs Based on a Cell to Pack Method

Lifetime and Aging Degradation Prognostics for Lithium-ion Battery Packs Based on a Cell to Pack Method

Abstract Aging diagnosis of batteries is essential to ensure that the energy storage systems operate within a safe region. This paper proposes a novel cell to pack health and lifetime prognostics method based on the combination of transferred deep learning and Gaussian process regression. General he...

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Bibliographic Details
Main Authors: Yunhong Che, Zhongwei Deng, Xiaolin Tang, Xianke Lin, Xianghong Nie, Xiaosong Hu
Format: Article
Language:English
Published: SpringerOpen 2022-01-01
Series:Chinese Journal of Mechanical Engineering
Subjects:
Lithium-ion battery packs
Lifetime prediction
Degradation prognostic
Model migration
Machine learning
Online Access:https://doi.org/10.1186/s10033-021-00668-y

Internet

https://doi.org/10.1186/s10033-021-00668-y

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