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AI-Driven Battery Management for E-Mobility: Predicting State of Health and Remaining Useful Life

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Bibliographic Details
Published in:Applied Computational Intelligence and Soft Computing
Format: Online Article RSS Article
Published: 2026
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container_title Applied Computational Intelligence and Soft Computing
description
discipline_display Natural Sciences
discipline_facet Natural Sciences
format Online Article
RSS Article
genre Journal Article
id rss_article:16763
institution FRELIP
journal_source_facet Applied Computational Intelligence and Soft Computing
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle AI-Driven Battery Management for E-Mobility: Predicting State of Health and Remaining Useful Life
Mathematics
Natural Sciences — Mathematical Sciences
Natural Sciences
sub_discipline_display Natural Sciences — Mathematical Sciences
sub_discipline_facet Natural Sciences — Mathematical Sciences
subject_display Mathematics
Natural Sciences — Mathematical Sciences
Natural Sciences
Mathematics
Natural Sciences — Mathematical Sciences
Natural Sciences
subject_facet Mathematics
Natural Sciences — Mathematical Sciences
Natural Sciences
title AI-Driven Battery Management for E-Mobility: Predicting State of Health and Remaining Useful Life
title_auth AI-Driven Battery Management for E-Mobility: Predicting State of Health and Remaining Useful Life
title_full AI-Driven Battery Management for E-Mobility: Predicting State of Health and Remaining Useful Life
title_fullStr AI-Driven Battery Management for E-Mobility: Predicting State of Health and Remaining Useful Life
title_full_unstemmed AI-Driven Battery Management for E-Mobility: Predicting State of Health and Remaining Useful Life
title_short AI-Driven Battery Management for E-Mobility: Predicting State of Health and Remaining Useful Life
title_sort ai-driven battery management for e-mobility: predicting state of health and remaining useful life
topic Mathematics
Natural Sciences — Mathematical Sciences
Natural Sciences
url https://www.hindawi.com/journals/acisc/2026/7495734/