State of Charge Estimation for Lithium-Ion Battery Using Sigma-Point Kalman Filters Based on the Second Order Equivalent Circuit Model

  • Nguyen Vinh ThuyEmail author
  • Nguyen Van Chi
Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 104)


Today Lithium-Ion battery (LiB) is very widely used in vehicular applications including Hybrid-Electric Vehicle (HEV), Plug-in Hybrid-Electric Vehicle (PHEV), Extended-Range Electric Vehicle (E-REV), and Electric Vehicle (EV). The improved discharge and charge efficiency, the longer life span, high energy density and the ability to deep cycle while maintaining power are the typical advantages of LiB. The most significant feature of vehicular applications powered by LiB which needs to be considered is the process of charging and discharging suddenly concerning to acceleration and breaking. The state of charge (SoC) estimation is an important problem related to energy and power control in the operation process of electric vehicles. In this paper, the SoC estimation method of LiB based on Sigma-point Kalman filter (SPKF) is proposed. The results based on the real data indicate that using the second-order equivalent circuit model of LiB can increase the accuracy of the SoC estimation compared with methods using first-order model.


Lithium-Ion batteries State of charge Sigma-point Kalman filter Battery management system The equivalent circuit model 


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© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Electrical Engineering FacultyThai Nguyen University of TechnologyThai NguyenVietnam
  2. 2.Institute of High-Technology Research and Development for IndustryThai Nguyen University of TechnologyThai NguyenVietnam

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