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 Algorithm
About this item
Full title
Author / Creator
Publisher
Basel: MDPI AG
Journal title
Language
English
Formats
Publication information
Publisher
Basel: MDPI AG
Subjects
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
Author / Creator
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