State of charge;
Batteries;
Observers;
Convergence;
Asymptotic stability;
Uncertain systems;
Stability criteria;
Finite time;
parameter uncertainties;
robust observer;
state of charge (SOC);
LITHIUM-ION BATTERY;
SOC ESTIMATION;
DESIGN;
IDENTIFICATION;
NETWORKS;
D O I:
10.1109/TCST.2022.3197025
中图分类号:
TP [自动化技术、计算机技术];
学科分类号:
0812 ;
摘要:
Accurate state of charge (SOC) is of great engineering significance to relieve the range anxiety, avoid safety accidents, and prolong the battery lifetime. This brief proposes an SOC observer with finite-time stability and robustness against unknown and time-varying parameter uncertainties. First, an equivalent circuit model (ECM) is employed to describe the battery dynamic characteristic with full consideration of time-varying parameter uncertainties and unknown noises, which are only assumed to be bounded. Second, a hybrid method combined with off-line and on-line identifications is proposed to estimate the battery model parameters. It means that the change of the battery parameters can be well traced and the estimation error in the early stage can be effectively diminished. Third, a finite-time observer is designed to estimate SOC, which can achieve faster error convergence rate. Finally, sufficient criteria and rigorous proof are given to ensure the convergence of the estimation errors in finite time. Extensive simulations and experiments are conducted to assess the effectiveness of the proposed method as well. Results illustrate the high accuracy, strong robustness, and fast convergence speed of the proposed method with the estimation errors bounded by 1% and the convergence time limited in 20 s.
机构:
Hong Kong Univ Sci & Technol, Dept Chem & Biomol Engn, Kowloon 999077, Hong Kong, Peoples R ChinaHong Kong Univ Sci & Technol, Dept Chem & Biomol Engn, Kowloon 999077, Hong Kong, Peoples R China
Tang, Xiaopeng
Liu, Boyang
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机构:
Hong Kong Univ Sci & Technol, Dept Chem & Biomol Engn, Kowloon 999077, Hong Kong, Peoples R ChinaHong Kong Univ Sci & Technol, Dept Chem & Biomol Engn, Kowloon 999077, Hong Kong, Peoples R China
Liu, Boyang
Gao, Furong
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机构:
Hong Kong Univ Sci & Technol, Dept Chem & Biomol Engn, Kowloon 999077, Hong Kong, Peoples R China
Guangzhou HKUST Fok Ying Tung Res Inst, Guangzhou 511458, Guangdong, Peoples R ChinaHong Kong Univ Sci & Technol, Dept Chem & Biomol Engn, Kowloon 999077, Hong Kong, Peoples R China
Gao, Furong
Lv, Zhou
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机构:
Guangzhou HKUST Fok Ying Tung Res Inst, Guangzhou 511458, Guangdong, Peoples R ChinaHong Kong Univ Sci & Technol, Dept Chem & Biomol Engn, Kowloon 999077, Hong Kong, Peoples R China
机构:
INRIA Lille Nord Europe, Project Non A, 40 Ave Halley, F-59650 Villeneuve Dascq, France
Univ Lille, CRIStAL UMR 9189, CNRS, Cent Lille, F-59000 Lille, FranceINRIA Lille Nord Europe, Project Non A, 40 Ave Halley, F-59650 Villeneuve Dascq, France
Langueh, Kokou A. A.
Zheng, Gang
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机构:
INRIA Lille Nord Europe, Project Non A, 40 Ave Halley, F-59650 Villeneuve Dascq, France
Univ Lille, CRIStAL UMR 9189, CNRS, Cent Lille, F-59000 Lille, FranceINRIA Lille Nord Europe, Project Non A, 40 Ave Halley, F-59650 Villeneuve Dascq, France
Zheng, Gang
Floquet, Thierry
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机构:
INRIA Lille Nord Europe, Project Non A, 40 Ave Halley, F-59650 Villeneuve Dascq, France
Univ Lille, CRIStAL UMR 9189, CNRS, Cent Lille, F-59000 Lille, FranceINRIA Lille Nord Europe, Project Non A, 40 Ave Halley, F-59650 Villeneuve Dascq, France
Floquet, Thierry
2016 IEEE 55TH CONFERENCE ON DECISION AND CONTROL (CDC),
2016,
: 1435
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1440