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Autonomous diagnostics and prognostics in lithium-ion battery systems via self-healing machine learning

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Published in:Clean Energy
Format: Online Article RSS Article
Published: 2025
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container_title Clean Energy
description
discipline_display Engineering & Technology
discipline_facet Engineering & Technology
format Online Article
RSS Article
genre Journal Article
id rss_article:22433
institution FRELIP
journal_source_facet Clean Energy
publishDate 2025
publishDateSort 2025
record_format rss_article
spellingShingle Autonomous diagnostics and prognostics in lithium-ion battery systems via self-healing machine learning
— — — — — Renewal Energy
Petroleum & Energy
Engineering & Technology
sub_discipline_display Petroleum & Energy
sub_discipline_facet Petroleum & Energy
subject_display — — — — — Renewal Energy
Petroleum & Energy
Engineering & Technology
— — — — — Renewal Energy
Petroleum & Energy
Engineering & Technology
subject_facet — — — — — Renewal Energy
Petroleum & Energy
Engineering & Technology
title Autonomous diagnostics and prognostics in lithium-ion battery systems via self-healing machine learning
title_auth Autonomous diagnostics and prognostics in lithium-ion battery systems via self-healing machine learning
title_full Autonomous diagnostics and prognostics in lithium-ion battery systems via self-healing machine learning
title_fullStr Autonomous diagnostics and prognostics in lithium-ion battery systems via self-healing machine learning
title_full_unstemmed Autonomous diagnostics and prognostics in lithium-ion battery systems via self-healing machine learning
title_short Autonomous diagnostics and prognostics in lithium-ion battery systems via self-healing machine learning
title_sort autonomous diagnostics and prognostics in lithium-ion battery systems via self-healing machine learning
topic — — — — — Renewal Energy
Petroleum & Energy
Engineering & Technology
url https://academic.oup.com/ce/article/10/2/60/8343549?rss=1