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

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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Publication Details

Journal
ASME Letters in Dynamic Systems and Control
Published
2024-09-09
DOI
https://doi.org/10.1115/1.4066464
Citations
1
Primary Topic
Advanced Battery Technologies Research
Type
article
Field-Weighted Citation Impact
0.20
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article

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

Wesley Hileman, Gregory L. Plett, M. Scott Trimboli
1 citations
ASME Letters in Dynamic Systems and Control
Advanced Battery Technologies Research
0.20
article

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

Wesley Hileman, Gregory L. Plett, M. Scott Trimboli
article en
1 citations

Abstract

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.

ASME Letters in Dynamic Systems and ControlVol. 4(4)
University of Colorado Colorado Springs (US)
Openalex Percentile: Top 51%
Advanced Battery Technologies Research
0.20
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