Advanced binary search pattern for impedance spectra classification for determining the state of charge of a lithium iron phosphate cell using a support vector machine
Patrick Jansen
CORRESPONDING AUTHOR
Audi Electronics Venture GmbH, Gaimersheim, Germany
Technische Universität Dortmund (AG DAT), Dortmund, Germany
Michael Vollnhals
Audi Electronics Venture GmbH, Gaimersheim, Germany
Daniel Renner
Audi Electronics Venture GmbH, Gaimersheim, Germany
Technische Universität Dortmund (AG DAT), Dortmund, Germany
David Vergossen
Audi Electronics Venture GmbH, Gaimersheim, Germany
Werner John
SiL GmbH – Paderborn/TU Dortmund, Dortmund, Germany
Technische Universität Dortmund (AG DAT), Dortmund, Germany
Jürgen Götze
Technische Universität Dortmund (AG DAT), Dortmund, Germany
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Short summary
Further improvements on the novel method for state of charge (SOC) determination of lithium iron phosphate (LFP) cells based on the impedance spectra classification are presented.
Further improvements on the novel method for state of charge (SOC) determination of lithium iron...