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Filtering by: Creator Mohtat, Peyman Remove constraint Creator: Mohtat, Peyman Discipline Engineering Remove constraint Discipline: Engineering

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  • UofM pouch cell voltage and expansion dataset and modeling code

    work
    Creator:
    Mohtat, Peyman, Siegel, Jason B., and Stefanopoulou, Anna G.
    Description:
    The goal here is to study the voltage and expansion response of lithium-ion batteries at different charging rates. Specifically, the goal is to capture the observation of the smoothing of the peaks in dV/dQ and retention of the peaks in d^2 (backslash)delta/dQ^2 at higher C-rates. The retention of the peaks at higher charging rates enables better estimation of the cell capacity. To achieve this goal a reduced order electrochemical and mechanical model with multiple particles with a size distribution is developed. This allows us to capture the smoothing and preservation of the phase transitions in the voltage and expansion measurements at high C-rates, respectively. The model is written in Matlab software.
    Keyword:
    Lithium-ion batteries, Modeling, Multiparticle, Mechanical response, and Electrochemical
    Citation to related publication:
    Mohtat, P., Lee, S., Sulzer, V., Siegel, J. B., & Stefanopoulou, A. G. (2020). Differential Expansion and Voltage Model for Li-ion Batteries at Practical Charging Rates. Journal of The Electrochemical Society, 167(11), 110561.  https://doi.org/10.1149/1945-7111/aba5d1
    Discipline:
    Engineering

  • Battery test data - fast formation study

    work
    Creator:
    Weng, Andrew, Mohtat, Peyman, Attia, Peter, Less, Greg, Lee, Suhak, and Stefanopoulou, Anna
    Description:
    The goal of this research is to investigate the impact of fast formation protocol on battery lifetime. The dataset has also been used to explore data-driven approaches in battery lifetime estimation (manuscript under review). Source code used to generate the results for this work has been included. The file contents contain a detailed README.md file which describes the organization of the files.
    Citation to related publication:
    Weng et al., Predicting the impact of formation protocols on battery lifetime immediately after manufacturing, Joule (2021),  https://doi.org/10.1016/j.joule.2021.09.015
    Discipline:
    Engineering

  • UofM Pouch Cell Voltage and Expansion Cyclic Aging Dataset

    work
    Creator:
    Mohtat, Peyman, Siegel, Jason B., Stefanopoulou, Anna G., and Lee, Suhak
    Description:
    The focus of this research effort is to systematically study the capability of aging diagnostics using cell expansion under variety of aging conditions and states. The data collection campaign is very important to cover various degradation modes to extract the degradation features that will be used to inform, parameterize, and validate the models developed earlier. In the data collection campaign, we are documenting the evolution of the electrical and mechanical characteristics and especially the reversible mechanical measurement. It is important to note that we collect data using newly developed fixtures that enables the simultaneous measurement of mechanical and electrical response under pseudo-constant pressure.
    Keyword:
    Lithium-ion batteries, Mechanical response, Aging, NMC, and Pouch cells
    Citation to related publication:
    Peyman Mohtat et al. (2021). Reversible and Irreversible Expansion of Lithium-ion Batteries Under a Wide Range of Stress Factors. J. Electrochem. Soc. 168 100520  https://doi.org/10.1149/1945-7111/ac2d3e
    Discipline:
    Engineering