Advanced battery management system enhancement using IoT and ML for predicting remaining useful life...
Advanced battery management system enhancement using IoT and ML for predicting remaining useful life in Li-ion batteries
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Publisher
London: Nature Publishing Group UK
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Language
English
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Publisher
London: Nature Publishing Group UK
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Contents
This study highlights the increasing demand for battery-operated applications, particularly electric vehicles (EVs), necessitating the development of more efficient Battery Management Systems (BMS), particularly lithium-ion (Li-ion) batteries used in energy storage systems (ESS). This research addresses some of the key limitations of current BMS te...
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Full title
Advanced battery management system enhancement using IoT and ML for predicting remaining useful life in Li-ion batteries
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TN_cdi_doaj_primary_oai_doaj_org_article_a2ae0894d4584dc6a55ba1101d2b681c
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a2ae0894d4584dc6a55ba1101d2b681c
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ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-024-80719-1
