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A novel intelligent SOC prediction method of lithium-ion battery packs based on the improved unscent...

A novel intelligent SOC prediction method of lithium-ion battery packs based on the improved unscent...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2557508574

A novel intelligent SOC prediction method of lithium-ion battery packs based on the improved unscented transformation

About this item

Full title

A novel intelligent SOC prediction method of lithium-ion battery packs based on the improved unscented transformation

Publisher

Bristol: IOP Publishing

Journal title

IOP conference series. Earth and environmental science, 2019-02, Vol.227 (3), p.32034

Language

English

Formats

Publication information

Publisher

Bristol: IOP Publishing

More information

Scope and Contents

Contents

The development of power lithium-ion battery packs is limited by the research and development level of Battery Management System (BMS). In this paper, an improved unscented transformation method is proposed, which is based on the six-section aero-lithium battery pack as the object of detection. The effective iterative calculation of State of Charge...

Alternative Titles

Full title

A novel intelligent SOC prediction method of lithium-ion battery packs based on the improved unscented transformation

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2557508574

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2557508574

Other Identifiers

ISSN

1755-1307,1755-1315

E-ISSN

1755-1315

DOI

10.1088/1755-1315/227/3/032034

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