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    <responseDate>2026-10-15T11:46:55Z</responseDate>
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            <header>
                <identifier>oai:data.mendeley.com/p8kf893yv3.1</identifier>
                <datestamp>2021-08-17T15:04:43Z</datestamp>
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            <metadata><oai_dc:dc xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
    <dc:creator>Kawakita de Souza, Aloisio</dc:creator>
    <dc:title>Lithium-ion Battery OCV and Dynamic Test Data of a LiFePO4 cylindrical cell</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>This lab experimental data repository contains open-circuit voltage (OCV) and dynamic test data of the commercial A123 26650 m1b ( 2.5 Ah LiFePO4) cylindrical cell. This dataset was collected at the High-Voltage Battery Research Lab at University of Colorado Colorado Springs using an Arbin BT2000 battery cycler and a Cincinnati Sub-zero thermal chamber. This dataset has been used for the model parameterization of a coupled electro-thermal equivalent-circuit model (CET model) in the following publications:

A. K. de Souza, G. Plett and M. S. Trimboli, &quot;Lithium-Ion Battery Charging Control Using a Coupled Electro-Thermal Model and Model Predictive Control,&quot; 2020 IEEE Applied Power Electronics Conference and Exposition (APEC), 2020, pp. 3534-3539, doi: 10.1109/APEC39645.2020.9124431.

Kawakita de Souza, A. (2020). Advanced Predictive Control Strategies for Lithium-Ion Battery Management Using a Coupled Electro-Thermal Model [Master thesis, University of Colorado, Colorado Springs]. ProQuest Dissertations Publishing.

M. A. Xavier, A. K. de Souza and M. S. Trimboli, &quot;An LPV-MPC Inspired Battery SOP Estimation Algorithm Using a Coupled Electro-Thermal Model,&quot; 2021 American Control Conference (ACC), 2021, pp. 4421-4426, doi: 10.23919/ACC50511.2021.9483433.

- The OCVdata and DYNdata folders contain the lab data that can be used with the ECM toolbox from Prof. Plett&apos;s book (Battery Management Systems, Volume I: Battery Modeling) to estimate the parameters of the Enhanced self-correcting model for the temperature range from -25 ℃ to 45 ℃ in increments of 10 ℃.
- The CCCV folder contains the CCCV data at 25 ℃ at four different charging C-rates (1C, 2C, 3C and 4C).
- The Miscellaneous folder contains:
      i) Experimental data for cell discharging using UDDS drive cycles at 25 ℃ and 35 ℃ used in the publications mentioned above. 
      ii) Periodic pulse data for thermal dynamics characterization used in the master thesis mentioned above. </dc:description>
    <dc:subject>Lithium Battery</dc:subject>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/p8kf893yv3.1</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/p8kf893yv3.1</dc:identifier>
    <dc:rights>Creative Commons Attribution 4.0 International</dc:rights>
    <dc:rights>http://creativecommons.org/licenses/by/4.0</dc:rights>
    <dc:relation>https://data.mendeley.com/datasets/p8kf893yv3</dc:relation>
    <dc:date>2021-08-17T15:04:43Z</dc:date>
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