Work Description

Title: UofM pouch cell voltage and expansion dataset and modeling code Open Access Deposited

There are no ingest append scripts associated with this work.
Attribute Value
  • The expansion was measured using a displacement sensor (Keyence, Japan) mounted on the top plate. The dynamic testing was done using a battery cycler (Biologic, France). The temperature was measured using a K-type thermocouple (Omega, USA) placed on the surface of the battery. Voltage, current, and temperature data were recorded using the BT-Lab software. The expansion data was recorded using a LabView program. The data processing was done using Matlab software.
  • 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 \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.
Contact information
Funding agency
  • Other Funding Agency
  • National Science Foundation (NSF)
Other Funding agency
  • Automotive Research Center (ARC)
ORSP grant number
  • F051079 (NSF); F053182 (ARC)
Citations to related material
  • 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.
Resource type
Last modified
  • 11/17/2022
  • 08/25/2020
To Cite this Work:
Mohtat, P., Siegel, J. B., Stefanopoulou, A. G. (2020). UofM pouch cell voltage and expansion dataset and modeling code [Data set], University of Michigan - Deep Blue Data.


This work is not a member of any user collections.

Files (Count: 10; Size: 709 KB)

Download All Files (To download individual files, select them in the “Files” panel above)

Best for data sets < 3 GB. Downloads all files plus metadata into a zip file.

Files are ready   Download Data from Globus
Best for data sets > 3 GB. Globus is the platform Deep Blue Data uses to make large data sets available.   More about Globus