TR2015-058

Sequential Estimation of State of Charge and Equivalent Circuit Parameters for Lithium-ion Batteries


    •  Wada, T.; Takegami, T.; Wang, Y., "Sequential Estimation of State of Charge and Equivalent Circuit Parameters for Lithium-Ion Batteries", American Control Conference (ACC), DOI: 10.1109/ACC.2015.7171106, ISBN: 978-1-4799-8685-9, July 2015, pp. 2494-2498.
      BibTeX Download PDF
      • @inproceedings{Wada2015jul,
      • author = {Wada, T. and Takegami, T. and Wang, Y.},
      • title = {Sequential Estimation of State of Charge and Equivalent Circuit Parameters for Lithium-Ion Batteries},
      • booktitle = {American Control Conference (ACC)},
      • year = 2015,
      • pages = {2494--2498},
      • month = jul,
      • publisher = {IEEE},
      • doi = {10.1109/ACC.2015.7171106},
      • isbn = {978-1-4799-8685-9},
      • url = {http://www.merl.com/publications/TR2015-058}
      • }
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  • Research Areas:

    Control, Dynamical Systems, Signal Processing, Electric Systems


We propose a method to estimate the state of charge (SoC) and the equivalent circuit parameters for lithiumion batteries. Model-based approaches for SoC estimation, such as Kalman filter, achieve better accuracy than Coulomb counting or open circuit voltage method, albeit requiring accurate model parameters of the battery. We analyze bias errors in the Kalman filter-based SoC estimation induced by errors of the battery model parameters, and develop a simultaneous recursive least squares filter to produce unbiased estimationof the battery parameters.