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A Data-Driven Predictive Prognostic Model for Lithium-ion Batteries based on a Deep Learning Algorit...

A Data-Driven Predictive Prognostic Model for Lithium-ion Batteries based on a Deep Learning Algorit...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_9de6ac5aa1894c4da46994de967f0da5

A Data-Driven Predictive Prognostic Model for Lithium-ion Batteries based on a Deep Learning Algorithm

About this item

Full title

A Data-Driven Predictive Prognostic Model for Lithium-ion Batteries based on a Deep Learning Algorithm

Author / Creator

Publisher

Basel: MDPI AG

Journal title

Energies (Basel), 2019-02, Vol.12 (4), p.660

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Prognostic and health management (PHM) can ensure that a lithium-ion battery is working safely and reliably. The main approach of PHM evaluation of the battery is to determine the State of Health (SoH) and the Remaining Useful Life (RUL) of the battery. The advancements of computational tools and big data algorithms have led to a new era of data-dr...

Alternative Titles

Full title

A Data-Driven Predictive Prognostic Model for Lithium-ion Batteries based on a Deep Learning Algorithm

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_9de6ac5aa1894c4da46994de967f0da5

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_9de6ac5aa1894c4da46994de967f0da5

Other Identifiers

ISSN

1996-1073

E-ISSN

1996-1073

DOI

10.3390/en12040660

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