A discrete-Time nonlinear observer for state of charge estimation of lithium-ion batteries

Liliuyuan Liang; Weilin Li; Wenjie Liu; Xiaohua Wu

doi:10.1109/AUS.2016.7748066

A discrete-Time nonlinear observer for state of charge estimation of lithium-ion batteries

Liliuyuan Liang
, Weilin Li
, Wenjie Liu
, Xiaohua Wu

School of Automation

Northwestern Polytechnical University Xian

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

This paper presents a novel state of charge (SOC) estimation algorithm for lithium-ion batteries (LIBs) using a discrete-Time nonlinear observer (DNLO) and a second-order resistor-capacitor (2RC) equivalent circuit model. Considering the hysteresis characteristic of battery, the parameters of the 2RC equivalent circuit model depend on the SOC and the direction of battery current simultaneously. Then the exponential-function fitting method identifies the offline parameters of the battery model. The convergence and stability of the proposed observer is proved by the Lyapunov inequality equation. The performance of the proposed method is also verified by the experiments based on the hybrid pulse power characteristic (HPPC) test. The experiment results show that the proposed observer has better performance in reducing the computation cost, improving the estimation accuracy and enhancing the convergence capability, than the EKF algorithm and the discrete-Time sliding mode observer (DSMO) algorithm.

Original language	English
Title of host publication	AUS 2016 - 2016 IEEE/CSAA International Conference on Aircraft Utility Systems
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	313-319
Number of pages	7
ISBN (Electronic)	9781509010875
DOIs	https://doi.org/10.1109/AUS.2016.7748066
State	Published - 17 Nov 2016
Event	2016 IEEE/CSAA International Conference on Aircraft Utility Systems, AUS 2016 - Beijing, China Duration: 10 Oct 2016 → 12 Oct 2016

Publication series

Name	AUS 2016 - 2016 IEEE/CSAA International Conference on Aircraft Utility Systems

Conference

Conference	2016 IEEE/CSAA International Conference on Aircraft Utility Systems, AUS 2016
Country/Territory	China
City	Beijing
Period	10/10/16 → 12/10/16

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

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10.1109/AUS.2016.7748066

Cite this

Liang, L., Li, W., Liu, W., & Wu, X. (2016). A discrete-Time nonlinear observer for state of charge estimation of lithium-ion batteries. In AUS 2016 - 2016 IEEE/CSAA International Conference on Aircraft Utility Systems (pp. 313-319). Article 7748066 (AUS 2016 - 2016 IEEE/CSAA International Conference on Aircraft Utility Systems). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/AUS.2016.7748066

Liang, Liliuyuan ; Li, Weilin ; Liu, Wenjie et al. / A discrete-Time nonlinear observer for state of charge estimation of lithium-ion batteries. AUS 2016 - 2016 IEEE/CSAA International Conference on Aircraft Utility Systems. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 313-319 (AUS 2016 - 2016 IEEE/CSAA International Conference on Aircraft Utility Systems).

@inproceedings{997dd53fe23545c3874aaf21ece45ea0,

title = "A discrete-Time nonlinear observer for state of charge estimation of lithium-ion batteries",

abstract = "This paper presents a novel state of charge (SOC) estimation algorithm for lithium-ion batteries (LIBs) using a discrete-Time nonlinear observer (DNLO) and a second-order resistor-capacitor (2RC) equivalent circuit model. Considering the hysteresis characteristic of battery, the parameters of the 2RC equivalent circuit model depend on the SOC and the direction of battery current simultaneously. Then the exponential-function fitting method identifies the offline parameters of the battery model. The convergence and stability of the proposed observer is proved by the Lyapunov inequality equation. The performance of the proposed method is also verified by the experiments based on the hybrid pulse power characteristic (HPPC) test. The experiment results show that the proposed observer has better performance in reducing the computation cost, improving the estimation accuracy and enhancing the convergence capability, than the EKF algorithm and the discrete-Time sliding mode observer (DSMO) algorithm.",

author = "Liliuyuan Liang and Weilin Li and Wenjie Liu and Xiaohua Wu",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE/CSAA International Conference on Aircraft Utility Systems, AUS 2016 ; Conference date: 10-10-2016 Through 12-10-2016",

year = "2016",

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doi = "10.1109/AUS.2016.7748066",

language = "英语",

series = "AUS 2016 - 2016 IEEE/CSAA International Conference on Aircraft Utility Systems",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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booktitle = "AUS 2016 - 2016 IEEE/CSAA International Conference on Aircraft Utility Systems",

}

Liang, L, Li, W, Liu, W & Wu, X 2016, A discrete-Time nonlinear observer for state of charge estimation of lithium-ion batteries. in AUS 2016 - 2016 IEEE/CSAA International Conference on Aircraft Utility Systems., 7748066, AUS 2016 - 2016 IEEE/CSAA International Conference on Aircraft Utility Systems, Institute of Electrical and Electronics Engineers Inc., pp. 313-319, 2016 IEEE/CSAA International Conference on Aircraft Utility Systems, AUS 2016, Beijing, China, 10/10/16. https://doi.org/10.1109/AUS.2016.7748066

A discrete-Time nonlinear observer for state of charge estimation of lithium-ion batteries. / Liang, Liliuyuan; Li, Weilin; Liu, Wenjie et al.
AUS 2016 - 2016 IEEE/CSAA International Conference on Aircraft Utility Systems. Institute of Electrical and Electronics Engineers Inc., 2016. p. 313-319 7748066 (AUS 2016 - 2016 IEEE/CSAA International Conference on Aircraft Utility Systems).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A discrete-Time nonlinear observer for state of charge estimation of lithium-ion batteries

AU - Liang, Liliuyuan

AU - Li, Weilin

AU - Liu, Wenjie

AU - Wu, Xiaohua

PY - 2016/11/17

Y1 - 2016/11/17

N2 - This paper presents a novel state of charge (SOC) estimation algorithm for lithium-ion batteries (LIBs) using a discrete-Time nonlinear observer (DNLO) and a second-order resistor-capacitor (2RC) equivalent circuit model. Considering the hysteresis characteristic of battery, the parameters of the 2RC equivalent circuit model depend on the SOC and the direction of battery current simultaneously. Then the exponential-function fitting method identifies the offline parameters of the battery model. The convergence and stability of the proposed observer is proved by the Lyapunov inequality equation. The performance of the proposed method is also verified by the experiments based on the hybrid pulse power characteristic (HPPC) test. The experiment results show that the proposed observer has better performance in reducing the computation cost, improving the estimation accuracy and enhancing the convergence capability, than the EKF algorithm and the discrete-Time sliding mode observer (DSMO) algorithm.

AB - This paper presents a novel state of charge (SOC) estimation algorithm for lithium-ion batteries (LIBs) using a discrete-Time nonlinear observer (DNLO) and a second-order resistor-capacitor (2RC) equivalent circuit model. Considering the hysteresis characteristic of battery, the parameters of the 2RC equivalent circuit model depend on the SOC and the direction of battery current simultaneously. Then the exponential-function fitting method identifies the offline parameters of the battery model. The convergence and stability of the proposed observer is proved by the Lyapunov inequality equation. The performance of the proposed method is also verified by the experiments based on the hybrid pulse power characteristic (HPPC) test. The experiment results show that the proposed observer has better performance in reducing the computation cost, improving the estimation accuracy and enhancing the convergence capability, than the EKF algorithm and the discrete-Time sliding mode observer (DSMO) algorithm.

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DO - 10.1109/AUS.2016.7748066

M3 - 会议稿件

AN - SCOPUS:85006698986

T3 - AUS 2016 - 2016 IEEE/CSAA International Conference on Aircraft Utility Systems

SP - 313

EP - 319

BT - AUS 2016 - 2016 IEEE/CSAA International Conference on Aircraft Utility Systems

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2016 IEEE/CSAA International Conference on Aircraft Utility Systems, AUS 2016

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Liang L, Li W, Liu W, Wu X. A discrete-Time nonlinear observer for state of charge estimation of lithium-ion batteries. In AUS 2016 - 2016 IEEE/CSAA International Conference on Aircraft Utility Systems. Institute of Electrical and Electronics Engineers Inc. 2016. p. 313-319. 7748066. (AUS 2016 - 2016 IEEE/CSAA International Conference on Aircraft Utility Systems). doi: 10.1109/AUS.2016.7748066

A discrete-Time nonlinear observer for state of charge estimation of lithium-ion batteries

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