State of charge estimation of lithium-ion battery using Kalman filters

Atsushi Baba, Shuichi Adachi

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

15 Citations (Scopus)

Abstract

In this paper we propose an accurate state of charge (SOC) estimation method for a lithium-ion battery for hybrid electric vehicle (HEV) and electric vehicles (EV) use. Although it is important to accurately determine the SOC of a battery to achieve maximum efficiency and safety, none of the existing methods has achieved this perfectly. To address this issue, a model-based approach using a cascaded combination of two Kalman filters, 'Series Kalman Filters,' is proposed and implemented. Its validity is verified by performing a series of simulations under a basic HEV operating environment.

Original languageEnglish
Title of host publication2012 IEEE International Conference on Control Applications, CCA 2012
Pages409-414
Number of pages6
DOIs
Publication statusPublished - 2012 Dec 1
Event2012 IEEE International Conference on Control Applications, CCA 2012 - Dubrovnik, Croatia
Duration: 2012 Oct 32012 Oct 5

Publication series

NameProceedings of the IEEE International Conference on Control Applications

Other

Other2012 IEEE International Conference on Control Applications, CCA 2012
CountryCroatia
CityDubrovnik
Period12/10/312/10/5

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ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Mathematics(all)

Cite this

Baba, A., & Adachi, S. (2012). State of charge estimation of lithium-ion battery using Kalman filters. In 2012 IEEE International Conference on Control Applications, CCA 2012 (pp. 409-414). [6402456] (Proceedings of the IEEE International Conference on Control Applications). https://doi.org/10.1109/CCA.2012.6402456