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SOC estimation for LiFePO4 battery in EVs using recursive least-squares with multiple adaptive forgetting factors

Conference Paper


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Abstract


  • This work presents a novel technique which is simple yet effective in estimating electric model parameters and state-of-charge (SOC) of the LiFePO4 battery. Unlike the well-known recursive least-squares-based algorithms with single constant forgetting factor, this technique employs multiple adaptive forgetting factors to provide the capability to capture the different dynamics of model parameters. The validity of the proposed method is verified through experiments using actual driving cycles.

Authors


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

Publication Date


  • 2014

Citation


  • Duong, V. H., Bastawrous, H. A., Lim, K. C., See, K. W., Zhang, P. & Dou, S. X. (2014). SOC estimation for LiFePO4 battery in EVs using recursive least-squares with multiple adaptive forgetting factors. Connected Vehicles and Expo (ICCVE), 2014 International Conference on (pp. 520-521). United States: Institute of Electrical and Electronics Engineers.

Scopus Eid


  • 2-s2.0-84959431857

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=2806&context=aiimpapers

Ro Metadata Url


  • http://ro.uow.edu.au/aiimpapers/1804

Start Page


  • 520

End Page


  • 521

Abstract


  • This work presents a novel technique which is simple yet effective in estimating electric model parameters and state-of-charge (SOC) of the LiFePO4 battery. Unlike the well-known recursive least-squares-based algorithms with single constant forgetting factor, this technique employs multiple adaptive forgetting factors to provide the capability to capture the different dynamics of model parameters. The validity of the proposed method is verified through experiments using actual driving cycles.

Authors


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

Publication Date


  • 2014

Citation


  • Duong, V. H., Bastawrous, H. A., Lim, K. C., See, K. W., Zhang, P. & Dou, S. X. (2014). SOC estimation for LiFePO4 battery in EVs using recursive least-squares with multiple adaptive forgetting factors. Connected Vehicles and Expo (ICCVE), 2014 International Conference on (pp. 520-521). United States: Institute of Electrical and Electronics Engineers.

Scopus Eid


  • 2-s2.0-84959431857

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=2806&context=aiimpapers

Ro Metadata Url


  • http://ro.uow.edu.au/aiimpapers/1804

Start Page


  • 520

End Page


  • 521