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Load-responsive mod...
Load-responsive model switching estimation for state of charge of lithium-ion batteries
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- Tang, Xiaopeng (författare)
- Hong Kong University of Science and Technology
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- Gao, Furong (författare)
- Hong Kong University of Science and Technology,Guangzhou HKUST Fok Ying Tung Research Institute
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- Zou, Changfu, 1987 (författare)
- Chalmers tekniska högskola,Chalmers University of Technology
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- Yao, Ke (författare)
- Hong Kong University of Science and Technology
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- Hu, Wengui (författare)
- Hong Kong University of Science and Technology
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- Wik, Torsten, 1968 (författare)
- Chalmers tekniska högskola,Chalmers University of Technology
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(creator_code:org_t)
- Elsevier BV, 2019
- 2019
- Engelska.
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Ingår i: Applied Energy. - : Elsevier BV. - 1872-9118 .- 0306-2619. ; 238, s. 423-434
- Relaterad länk:
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https://doi.org/10.1...
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https://research.cha...
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https://research.cha...
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Abstract
Ämnesord
Stäng
- Accurately estimating state of charge (SoC) is very important to enable advanced management of lithium-ion batteries, however technical challenges mainly exist in the lack of a high-fidelity battery model whose parameters are sensitive to changes of the state and load condition. To address the problem, this paper explores and proposes a model switching estimation algorithm that online selects the most suitable model from its model library based on the relationship between load conditions for calibration and in practice. By leveraging a high-pass filter and the Coulomb counting, an event trigger procedure is developed to detect the estimation performance and then determine timely switching actions. This estimation algorithm is realized by adopting a gradient correction method for system identification and the unscented Kalman filter and H∞ observer for state estimation. Experimental results illustrate that the proposed algorithm is able to reproduce SoC trajectories under various operating profiles, with the root-mean-square errors bounded by 2.22%. The efficacy of this algorithm is further corroborated by comparing to single model-based estimators and two prevalent adaptive SoC estimators.
Ämnesord
- NATURVETENSKAP -- Matematik -- Sannolikhetsteori och statistik (hsv//swe)
- NATURAL SCIENCES -- Mathematics -- Probability Theory and Statistics (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Reglerteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Control Engineering (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Signalbehandling (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Signal Processing (hsv//eng)
Nyckelord
- State of charge estimation
- Model switching
- Building energy storage system
- Battery management system
Publikations- och innehållstyp
- art (ämneskategori)
- ref (ämneskategori)
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