Robust High-Gain Observer Approach to State of Charge for Lithium-Ion Batteries of Automated Guided Vehicles

Sung Hoon Yu; Chang Ho Hyun; Hyo Seok Kang

doi:10.4028/www.scientific.net/AMM.536-537.1562

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 536-537Robust High-Gain Observer Approach to State of...

Robust High-Gain Observer Approach to State of Charge for Lithium-Ion Batteries of Automated Guided Vehicles

Abstract:

This paper introduces a robust high-gain observer based state of charge (SOC) estimator for lithium-ion batteries of automated guided vehicles (AGV) . The proposed observer scheme enhances the transient response speed and diminishes the effect of uncertainties. Furthermore, it overcomes the perturbation problem, which is caused by high gains since the proposed observer scheme adopts sliding mode control technique. In order to verify the effectiveness of the propose method, the linear RC battery model in ADVISOR is used.

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Periodical:

Applied Mechanics and Materials (Volumes 536-537)

Pages:

1562-1565

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.536-537.1562

Citation:

Cite this paper

Online since:

April 2014

Authors:

Sung Hoon Yu, Chang Ho Hyun*, Hyo Seok Kang

Keywords:

High-Gain Observer, Robust, SoC, Uncertainty

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References

[1] S. Piller M. Perrin and A. Jossen: Methods for state-of-charge determination and their applications. J. Power Sources Vol. 96 (2001), pp.113-120.

DOI: 10.1016/s0378-7753(01)00560-2

Google Scholar

[2] J.H. Aylor and B.W. Johnson: A battery state-of-charge indicator for electric wheelchairs. IEEE Trans. Ind. Electron Vol. 39 (1992), pp.398-409.

DOI: 10.1109/41.161471

Google Scholar

[3] T.H. Liu D.F. Chen and C.C. Fang: Design and implementation of a battery charger with a state-of-charge estimator. Int. J. Electron Vol. 87 (2000), pp.211-226.

Google Scholar

[4] J. Ciasson and B. Vairamohan: Estimating the state of charge of a battery. IEEE Trans. Con. Sys. Technology. Vol. 13 (2005), pp.465-470.

DOI: 10.1109/tcst.2004.839571

Google Scholar

[5] Y. adrc and Y. zkazan: Microcontroller-based on-line state-of-charge estimator for sealed lead-acid batteries. J. Power Sources Vol. 129 (2004), pp.330-342.

DOI: 10.1016/j.jpowsour.2003.11.008

Google Scholar