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Artificial Intelligence Approaches for Advanced Battery Management System in Electric Vehicle Applic...

Artificial Intelligence Approaches for Advanced Battery Management System in Electric Vehicle Applic...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_af743b79ec784d169b2f262466cfdc4c

Artificial Intelligence Approaches for Advanced Battery Management System in Electric Vehicle Applications: A Statistical Analysis towards Future Research Opportunities

About this item

Full title

Artificial Intelligence Approaches for Advanced Battery Management System in Electric Vehicle Applications: A Statistical Analysis towards Future Research Opportunities

Publisher

Basel: MDPI AG

Journal title

Vehicles, 2023-12, Vol.6 (1), p.22-70

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

In order to reduce carbon emissions and address global environmental concerns, the automobile industry has focused a great deal of attention on electric vehicles, or EVs. However, the performance and health of batteries can deteriorate over time, which can have a negative impact on the effectiveness of EVs. In order to improve the safety and reliab...

Alternative Titles

Full title

Artificial Intelligence Approaches for Advanced Battery Management System in Electric Vehicle Applications: A Statistical Analysis towards Future Research Opportunities

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_af743b79ec784d169b2f262466cfdc4c

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_af743b79ec784d169b2f262466cfdc4c

Other Identifiers

ISSN

2624-8921

E-ISSN

2624-8921

DOI

10.3390/vehicles6010002

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