DOI: 10.5281/zenodo.15496570
title: INR18650-LG-3500-MJ1 Lithium-Ion Battery Cell Complete Continuum Simulation Parameters

description: Scope

This record contains a complete and PyBaMM-compatible parameter set for the INR18650-LG-3500-MJ1 cell and incomplete versions of it that were used in an exempular GITT characterization workflow. Most parameters are repackaged laboratory measurement results and SOC alignment checks with a GITT (without intermittent EIS) measurement on the harvested electrodes.

Files

Metadata




Filename
Description
Format
Usage




lg_mj1.py
A PyBaMM-compatible parameter set obtained from laboratory characterization of MJ1 battery cells and a characterization of GITT measurements with the DFN model.
Python script (.py)
Adequate dataset for a digital twin simulation of the MJ1 cell.


lg_mj1_parameterize_negative_diffusivity_lithiation.py
A PyBaMM-compatible parameter set obtained from laboratory characterization of MJ1 battery cells in lithiation direction with inherent parameter uncertainties and a prior parameter distribution for the negative electrode diffusivity.
Python script (.py)
Used for lithiation GITT characterization with the SPM, SPMe, and DFN models.


lg_mj1_parameterize_positive_diffusivity_lithiation.py
A PyBaMM-compatible parameter set obtained from laboratory characterization of MJ1 battery cells in lithiation direction with inherent parameter uncertainties and a prior parameter distribution for the positive electrode diffusivity.
Python script (.py)
Used for lithiation GITT characterization with the SPM, SPMe, and DFN models.


lg_mj1_parameterize_negative_diffusivity_delithiation.py
A PyBaMM-compatible parameter set obtained from laboratory characterization of MJ1 battery cells in delithiation direction with inherent parameter uncertainties and a prior parameter distribution for the negative electrode diffusivity.
Python script (.py)
Used for delithiation GITT characterization with the SPM, SPMe, and DFN models.


lg_mj1_parameterize_positive_diffusivity_delithiation.py
A PyBaMM-compatible parameter set obtained from laboratory characterization of MJ1 battery cells in delithiation direction with inherent parameter uncertainties and a prior parameter distribution for the positive electrode diffusivity.
Python script (.py)
Used for delithiation GITT characterization with the SPM, SPMe, and DFN models.




Related Resources




Relationship
Record
Description


isPartOf
INR18650-LG-3500-MJ1 Lithium-Ion Battery Cell Characterization Data


This collection contains records related to laboratory characterization of INR18650-MJ1 cells manufactured by LG Chem. The records contain (i) the raw data provided by laboratory personnel and (ii) model parameters obtained from processing this raw data. The data contained in these records is intended to support model parameterization for INR18650-MJ1 cells and could also be relevant for other Li-ion batteries using NMC, Graphite, and Silicon Oxide as active materials.

 



Continues
INR18650-LG-3500-MJ1 Anode GITT Parameters
This record contains parameters fitted from a GITT (without intermittent EIS) measurement on the harvested ngative electrode (anode) of the INR18650-MJ1 Li-ion battery cell from LG CHEM.


Continues
INR18650-LG-3500-MJ1 Anode GITT OCV Model Fit
This record contains an open-circuit voltage (OCV) model fitted to OCV curves from GITT measurements during discharging and charging. The GITT measurements were obtained from negative electrode (anode) harvested from an INR18650-MJ1 Li-ion battery cell manufactured by LG CHEM. The active material in the electrode is composite graphite/silicon oxide. The measurment is obtained in three-electrode configuration with the working electrode composite graphite/silicon oxide, counter electrode NMC, and reference electrode lithium metal in a coin cell casing.


Continues
INR18650-LG-3500-MJ1 Lithium-Ion Battery Cell Direct Characterization Data
This record contains characterization data of components harvested from INR18650-LG-3500-MJ1 #001 cell used in the DLReps project. The characterization was performed using a combination of destructive techniques including half-cell electrochemical testing, SEM, and EDX analysis. The source data is contained in the files MJ1_parameters.xlsx and MJ1-Parameters.pptx, which is then processed to obtain the extracted and encapsulated data (images and parquet files).


IsContinuedBy
18650-LG-3500-MJ1 Anode GITT Featurization
This record contains workflows to extract feactures from the GITT (without intermittent EIS) measurement on the harvested negative electrode (anode) of the INR18650-MJ1 Li-ion battery cell from LG CHEM. It simulteaneously sets up the simulator and EP-BOLFI optimizer inputs for later parameterization.


IsContinuedBy
18650-LG-3500-MJ1 Anode GITT Parameterization
This record contains workflows to parameterize with EP-BOLFI a GITT (without intermittent EIS) measurement.




Licensing

This dataset is licensed under CC-BY 4.0, allowing for sharing and adaptation with proper attribution.

Contact Information

For questions or further assistance, please contact Dennis Kopljar at dennis.kopljar@dlr.de.

References

This dataset is linked to the following publication: [DOI/Link to publication].