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    Estimating the Values of the PDE Model Parameters of Rechargeable Lithium-Metal Battery Cells Using Linear Electrochemical Impedance Spectroscopy1

    Source: ASME Letters in Dynamic Systems and Control:;2024:;volume( 004 ):;issue: 004::page 41009-1
    Author:
    Hileman, Wesley A.
    ,
    Trimboli, M. Scott
    ,
    Plett, Gregory L.
    DOI: 10.1115/1.4066464
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: We introduce a partial differential equation model for rechargeable lithium-metal battery (LMB) cells whose parameter values are fully identifiable from cell-level experiments. From this model, we formulate a computationally tractable transfer function (TF) model for use within optimization loops. A strategy is proposed for regressing the TF model to cell electrochemical impedance spectroscopy (EIS) measurements to estimate parameter values. We validate the regression using a synthetic dataset before application to a single-layer LMB pouch cell. The voltage root-mean-square error (RMSE) between the fully identified model’s predictions and laboratory measurements is about 4 mV for a galvanostatic intermittent titration technique (GITT) profile. We provide MATLAB code to simulate the model in comsol, compute cell impedance from the TF model, and perform model regression.
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      Estimating the Values of the PDE Model Parameters of Rechargeable Lithium-Metal Battery Cells Using Linear Electrochemical Impedance Spectroscopy1

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4305890
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    contributor authorHileman, Wesley A.
    contributor authorTrimboli, M. Scott
    contributor authorPlett, Gregory L.
    date accessioned2025-04-21T10:17:50Z
    date available2025-04-21T10:17:50Z
    date copyright10/3/2024 12:00:00 AM
    date issued2024
    identifier issn2689-6117
    identifier otheraldsc_4_4_041009.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4305890
    description abstractWe introduce a partial differential equation model for rechargeable lithium-metal battery (LMB) cells whose parameter values are fully identifiable from cell-level experiments. From this model, we formulate a computationally tractable transfer function (TF) model for use within optimization loops. A strategy is proposed for regressing the TF model to cell electrochemical impedance spectroscopy (EIS) measurements to estimate parameter values. We validate the regression using a synthetic dataset before application to a single-layer LMB pouch cell. The voltage root-mean-square error (RMSE) between the fully identified model’s predictions and laboratory measurements is about 4 mV for a galvanostatic intermittent titration technique (GITT) profile. We provide MATLAB code to simulate the model in comsol, compute cell impedance from the TF model, and perform model regression.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleEstimating the Values of the PDE Model Parameters of Rechargeable Lithium-Metal Battery Cells Using Linear Electrochemical Impedance Spectroscopy1
    typeJournal Paper
    journal volume4
    journal issue4
    journal titleASME Letters in Dynamic Systems and Control
    identifier doi10.1115/1.4066464
    journal fristpage41009-1
    journal lastpage41009-6
    page6
    treeASME Letters in Dynamic Systems and Control:;2024:;volume( 004 ):;issue: 004
    contenttypeFulltext
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