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

Atsushi Baba, Shuichi Adachi

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

14 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 publicationProceedings of the IEEE International Conference on Control Applications
Pages409-414
Number of pages6
DOIs
Publication statusPublished - 2012
Event2012 IEEE International Conference on Control Applications, CCA 2012 - Dubrovnik, Croatia
Duration: 2012 Oct 32012 Oct 5

Other

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

Fingerprint

Lithium-ion Battery
Hybrid Electric Vehicle
Hybrid vehicles
Kalman filters
Kalman Filter
Charge
Electric Vehicle
Series
Electric vehicles
Battery
Safety
Model-based
Simulation
Lithium-ion batteries

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 Proceedings of the IEEE International Conference on Control Applications (pp. 409-414). [6402456] https://doi.org/10.1109/CCA.2012.6402456

State of charge estimation of lithium-ion battery using Kalman filters. / Baba, Atsushi; Adachi, Shuichi.

Proceedings of the IEEE International Conference on Control Applications. 2012. p. 409-414 6402456.

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

Baba, A & Adachi, S 2012, State of charge estimation of lithium-ion battery using Kalman filters. in Proceedings of the IEEE International Conference on Control Applications., 6402456, pp. 409-414, 2012 IEEE International Conference on Control Applications, CCA 2012, Dubrovnik, Croatia, 12/10/3. https://doi.org/10.1109/CCA.2012.6402456
Baba A, Adachi S. State of charge estimation of lithium-ion battery using Kalman filters. In Proceedings of the IEEE International Conference on Control Applications. 2012. p. 409-414. 6402456 https://doi.org/10.1109/CCA.2012.6402456
Baba, Atsushi ; Adachi, Shuichi. / State of charge estimation of lithium-ion battery using Kalman filters. Proceedings of the IEEE International Conference on Control Applications. 2012. pp. 409-414
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