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Online SoC estimation of lithium ion battery for EV/BEV using Kalman filter with fading memory

Conference Paper


Abstract


  • A novel algorithm based on fading Kalman filter to estimate the state of charge (SoC) of Li-ion battery used in electric vehicles is proposed and validated in this paper. Online identification of battery's electric model parameters followed by open circuit voltage estimation by fading Kalman filter resulted in accurate SoC estimation. The experimental results obtained from actual driving cycle in real-time reveal the robust performance of the proposed algorithm.

Authors


  •   Lim, Kai
  •   Bastawrous, Hany Ayad. (external author)
  •   Duong, Van Huan (external author)
  •   See, Khay W.
  •   Zhang, Peng (external author)
  •   Dou, Shi Xue

Publication Date


  • 2014

Citation


  • Lim, K. C., Bastawrous, H. A., Duong, V. H., See, K. W., Zhang, P. & Dou, S. X. (2014). Online SoC estimation of lithium ion battery for EV/BEV using Kalman filter with fading memory. 2014 IEEE 3rd Global Conference on Consumer Electronics (pp. 476-477). United States: IEEE.

Scopus Eid


  • 2-s2.0-84946693124

Ro Metadata Url


  • http://ro.uow.edu.au/aiimpapers/1368

Has Global Citation Frequency


Start Page


  • 476

End Page


  • 477

Place Of Publication


  • United States

Abstract


  • A novel algorithm based on fading Kalman filter to estimate the state of charge (SoC) of Li-ion battery used in electric vehicles is proposed and validated in this paper. Online identification of battery's electric model parameters followed by open circuit voltage estimation by fading Kalman filter resulted in accurate SoC estimation. The experimental results obtained from actual driving cycle in real-time reveal the robust performance of the proposed algorithm.

Authors


  •   Lim, Kai
  •   Bastawrous, Hany Ayad. (external author)
  •   Duong, Van Huan (external author)
  •   See, Khay W.
  •   Zhang, Peng (external author)
  •   Dou, Shi Xue

Publication Date


  • 2014

Citation


  • Lim, K. C., Bastawrous, H. A., Duong, V. H., See, K. W., Zhang, P. & Dou, S. X. (2014). Online SoC estimation of lithium ion battery for EV/BEV using Kalman filter with fading memory. 2014 IEEE 3rd Global Conference on Consumer Electronics (pp. 476-477). United States: IEEE.

Scopus Eid


  • 2-s2.0-84946693124

Ro Metadata Url


  • http://ro.uow.edu.au/aiimpapers/1368

Has Global Citation Frequency


Start Page


  • 476

End Page


  • 477

Place Of Publication


  • United States