Log in to save to my catalogue

A Critical Review of Improved Deep Convolutional Neural Network for Multi-Timescale State Prediction...

A Critical Review of Improved Deep Convolutional Neural Network for Multi-Timescale State Prediction...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_1174c01c54db43ea90e5de689199f1c3

A Critical Review of Improved Deep Convolutional Neural Network for Multi-Timescale State Prediction of Lithium-Ion Batteries

About this item

Full title

A Critical Review of Improved Deep Convolutional Neural Network for Multi-Timescale State Prediction of Lithium-Ion Batteries

Publisher

Basel: MDPI AG

Journal title

Energies (Basel), 2022-07, Vol.15 (14), p.5053

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Lithium-ion batteries are widely used as effective energy storage and have become the main component of power supply systems. Accurate battery state prediction is key to ensuring reliability and has significant guidance for optimizing the performance of battery power systems and replacement. Due to the complex and dynamic operations of lithium-ion...

Alternative Titles

Full title

A Critical Review of Improved Deep Convolutional Neural Network for Multi-Timescale State Prediction of Lithium-Ion Batteries

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_1174c01c54db43ea90e5de689199f1c3

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_1174c01c54db43ea90e5de689199f1c3

Other Identifiers

ISSN

1996-1073

E-ISSN

1996-1073

DOI

10.3390/en15145053

How to access this item