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Method for SoC Estimation in Lithium-Ion Batteries Based on Multiple Linear Regression and Particle...

Method for SoC Estimation in Lithium-Ion Batteries Based on Multiple Linear Regression and Particle...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ce7a421acf7e4f3296e029a231329612

Method for SoC Estimation in Lithium-Ion Batteries Based on Multiple Linear Regression and Particle Swarm Optimization

About this item

Full title

Method for SoC Estimation in Lithium-Ion Batteries Based on Multiple Linear Regression and Particle Swarm Optimization

Publisher

Basel: MDPI AG

Journal title

Energies (Basel), 2022-10, Vol.15 (19), p.6881

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Lithium-ion batteries are the current most promising device for electric vehicle applications. They have been widely used because of their advantageous features, such as high energy density, many cycles, and low self-discharge. One of the critical factors for the correct operation of an electric vehicle is the estimation of the battery charge state...

Alternative Titles

Full title

Method for SoC Estimation in Lithium-Ion Batteries Based on Multiple Linear Regression and Particle Swarm Optimization

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_ce7a421acf7e4f3296e029a231329612

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ce7a421acf7e4f3296e029a231329612

Other Identifiers

ISSN

1996-1073

E-ISSN

1996-1073

DOI

10.3390/en15196881

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