State-of-health estimation by virtual experiments using recurrent decoder–encoder based lithium-ion digital battery twins trained on unstructured battery data-Reference-Cited by-同舟云学术

State-of-health estimation by virtual experiments using recurrent decoder–encoder based lithium-ion digital battery twins trained on unstructured battery data

Published:2023-02 Issue: Volume:58 Page:106335
ISSN:2352-152X
Container-title:Journal of Energy Storage
language:en
Short-container-title:Journal of Energy Storage

Author:

Schmitt Jakob^ORCID,Horstkötter Ivo^ORCID,Bäker Bernard

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment

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2. Synergizing Machine Learning and the Aviation Sector in Lithium-Ion Battery Applications: A Review;Energies;2023-08-31

3. Effective estimation of battery state-of-health by virtual experiments via transfer- and meta-learning;Journal of Energy Storage;2023-07

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