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

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Advances in Engineering Research and Application (ICERA 2019)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 104))

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Abstract

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.

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Author information

Authors and Affiliations

  1. Electrical Engineering Faculty, Thai Nguyen University of Technology, Thai Nguyen, Vietnam

    Nguyen Vinh Thuy

  2. Institute of High-Technology Research and Development for Industry, Thai Nguyen University of Technology, Thai Nguyen, Vietnam

    Nguyen Van Chi

Authors
  1. Nguyen Vinh Thuy
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  2. Nguyen Van Chi
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Corresponding author

Correspondence to Nguyen Vinh Thuy .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Automation, TU Ilmenau, Ilmenau, Thüringen, Germany

    Kai-Uwe Sattler

  2. Faculty of Electronic Engineering, Thai Nguyen University of Technology, Thai Nguyen, Vietnam

    Duy Cuong Nguyen

  3. Faculty of Mechanical Engineering, Thai Nguyen University of Technology, Thai Nguyen, Vietnam

    Ngoc Pi Vu

  4. Hanoi University of Science and Technology, Hanoi, Vietnam

    Banh Tien Long

  5. Institute for Automation and Systems Engineering, TU Ilmenau, Ilmenau, Thüringen, Germany

    Horst Puta

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Thuy, N.V., Van Chi, N. (2020). State of Charge Estimation for Lithium-Ion Battery Using Sigma-Point Kalman Filters Based on the Second Order Equivalent Circuit Model. In: Sattler, KU., Nguyen, D., Vu, N., Tien Long, B., Puta, H. (eds) Advances in Engineering Research and Application. ICERA 2019. Lecture Notes in Networks and Systems, vol 104. Springer, Cham. https://doi.org/10.1007/978-3-030-37497-6_77

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