TR2016-137

Revisiting the State of Charge Estimation for Lithium-Ion Batteries A Methodical Investigation of the EKF Approach

    •  Wang, Y., Fang, H., Zhou, L., Wada, T., "Revisiting the State of Charge Estimation for Lithium-Ion Batteries A Methodical Investigation of the EKF Approach", IEEE Control Systems Magazine, October 2016.
      BibTeX TR2016-137 PDF
      • @article{Wang2016oct,
      • author = {Wang, Yebin and Fang, Huazhen and Zhou, Lei and Wada, Toshihiro},
      • title = {Revisiting the State of Charge Estimation for Lithium-Ion Batteries A Methodical Investigation of the EKF Approach},
      • journal = {IEEE Control Systems Magazine},
      • year = 2016,
      • month = oct,
      • url = {https://www.merl.com/publications/TR2016-137}
      • }
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    Control

Abstract:

This article is devoted to nonlinear state and parameter estimation problems where the system is represented in the state-space framework. This article comprises of two parts where the first part provides a tutorial on prevailing nonlinear stochastic estimation techniques, and the second part presents a self-contained description of estimation problems and solutions in rechargeable Lithium-ion batteries.