Improving SOC accuracy using collective estimation for Lithium Ion battery cells in series

Jariullah Safi, Michael Beeney, Michelle Kehs, Joel Anstrom, Sean Brennan, Hosam Fathy

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

This paper presents new methods for improving state of charge (SOC) estimation accuracy for Lithium Ion battery cells connected in series. The methods benefit from the fact that the cells share a common current trajectory. These methods extend previously studied techniques for SOC estimation, like the Extended Kalman Filter. While the existing literature focuses on estimating SOC for individual cells separately, we consider the cells in a series string collectively. We show that estimation accuracy is increased for cells in series both when they are 1) balanced and 2) un-balanced. We validate these methods against a control case using Monte Carlo simulation.

Original languageEnglish (US)
Title of host publication2014 American Control Conference, ACC 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages254-259
Number of pages6
ISBN (Print)9781479932726
DOIs
StatePublished - Jan 1 2014
Event2014 American Control Conference, ACC 2014 - Portland, OR, United States
Duration: Jun 4 2014Jun 6 2014

Publication series

NameProceedings of the American Control Conference
ISSN (Print)0743-1619

Other

Other2014 American Control Conference, ACC 2014
CountryUnited States
CityPortland, OR
Period6/4/146/6/14

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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