TR2015-065

State-of-Charge Estimation of Lithium-Ion Batteries via a Coupled Thermal-Electrochemical Model

    •  Tang, S., Wang, Y., Sahinoglu, Z., Wada, T., Hara, S., Krstic, M., "State-of-Charge Estimation of Lithium-Ion Batteries via a Coupled Thermal-Electrochemical Model", American Control Conference (ACC), DOI: 10.1109/​ACC.2015.7172260, July 2015, pp. 5871-5877.
      BibTeX TR2015-065 PDF
      • @inproceedings{Tang2015jul,
      • author = {Tang, S. and Wang, Y. and Sahinoglu, Z. and Wada, T. and Hara, S. and Krstic, M.},
      • title = {State-of-Charge Estimation of Lithium-Ion Batteries via a Coupled Thermal-Electrochemical Model},
      • booktitle = {American Control Conference (ACC)},
      • year = 2015,
      • pages = {5871--5877},
      • month = jul,
      • publisher = {IEEE},
      • doi = {10.1109/ACC.2015.7172260},
      • isbn = {978-1-4799-8685-9},
      • url = {https://www.merl.com/publications/TR2015-065}
      • }
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  • Research Areas:

    Control, Dynamical Systems, Signal Processing, Electric Systems

Abstract:

Accurate online state-of-charge (SoC) estimation is a basic need and also a fundamental challenge for battery applications. In order to achieve accurate SoC estimation for the lithium-ion batteries, we employ a coupled thermal-electrochemical model. This coupled system of an ordinary differential equation (ODE) and a partial differential equation (PDE) is simpler than the Doyle-Fuller-Newman (DFN) model, and is more accurate than the single particle model (SPM) alone. Thus, it could serve as a better fit of model for a full state observer design and accurate SoC estimation. PDE backstepping approach is utilized to develop a Luenberger observer for the electrode concentration, and estimation effectiveness of the proposed method is verified by simulation results.

 

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