State of charge estimation of lithium-ion batteries considering model and parameter uncertainties

Zhimin Xi, Rong Jing, Xiao Guang Yang, Ed Decker

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

4 Scopus citations

Abstract

Up to date, model and parameter uncertainties are generally overlooked by majority of researchers in the field of battery study. As a consequence, accuracy of the SOC estimation is dominated by the model fidelity and may vary from cell-to-cell. This paper proposes a systematic framework with associated methodologies to quantify the battery model and parameter uncertainties for more effective battery SOC estimation. Such a framework is also generally applicable for estimating other battery performances of interest (e.g. capacity and power capability). There are two major benefits using the proposed framework: i) consideration of the cell-to-cell variability, and ii) accuracy improvement of the low fidelity model comparable to the high fidelity without scarifying computational efficiency. One case study is used to demonstrate the effectiveness of the proposed framework.

Original languageEnglish (US)
Title of host publicationPHM 2013 - Proceedings of the Annual Conference of the Prognostics and Health Management Society 2013
EditorsShankar Sankararaman, Indranil Roychoudhury
PublisherPrognostics and Health Management Society
Pages513-520
Number of pages8
ISBN (Electronic)9781936263066
StatePublished - 2013
Externally publishedYes
Event2013 Annual Conference of the Prognostics and Health Management Society, PHM 2013 - New Orleans, United States
Duration: Oct 14 2013Oct 17 2013

Publication series

NamePHM 2013 - Proceedings of the Annual Conference of the Prognostics and Health Management Society 2013

Other

Other2013 Annual Conference of the Prognostics and Health Management Society, PHM 2013
Country/TerritoryUnited States
CityNew Orleans
Period10/14/1310/17/13

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Health Information Management
  • Software

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