TR2015-065
State-of-Charge Estimation of Lithium-Ion Batteries via a Coupled Thermal-Electrochemical Model
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- "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}
- }
,
- "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.
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MERL Contact:
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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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