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

Authors

Van Huan Duong, University of WollongongFollow
Hany A. Bastawrous, University of WollongongFollow
Kai Chin Lim, University of WollongongFollow
Khay Wai W. See, University of WollongongFollow
Peng Zhang, University of WollongongFollow
S X. Dou, University of WollongongFollow

RIS ID

105835

Publication Details

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.

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.