Adaptive iterative working state prediction based on the double unscented transformation and dynamic...
Adaptive iterative working state prediction based on the double unscented transformation and dynamic functioning for unmanned aerial vehicle lithium-ion batteries
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Publisher
London, England: SAGE Publications
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Language
English
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London, England: SAGE Publications
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Contents
In lithium-ion batteries, the accuracy of estimation of the state of charge is a core parameter which will determine the power control accuracy and management reliability of the energy storage systems. When using unscented Kalman filtering to estimate the charge of lithium-ion batteries, if the pulse current change rate is too high, the tracking ef...
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Full title
Adaptive iterative working state prediction based on the double unscented transformation and dynamic functioning for unmanned aerial vehicle lithium-ion batteries
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TN_cdi_doaj_primary_oai_doaj_org_article_903e63bdabc14b4da1d2fbfa4dc825a5
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_903e63bdabc14b4da1d2fbfa4dc825a5
Other Identifiers
ISSN
0020-2940
E-ISSN
2051-8730
DOI
10.1177/0020294020923057
