For this dataset tests were performed on cylindrical 2170 form factor Li-ion battery cells from a Tesla Model 3 electric vehicle. The tests include characterization tests (constant current discharges, HPPC, etc) and electric vehicle drive cycles. A portion of the data is provided openly for use in developing state of charge (SOC) estimation algorithms, and a portion is kept hidden and used for blinded testing of algorithms. Algorithms can be submitted for testing via the portal described in the dataset.
The blind modeling tool concept is described in detail in the publication "A Blind Modeling Tool for Standardized Evaluation of Battery State of Charge Estimation Algorithms" and in the included presentation "Tesla 2170 Cell Data and SOC Estimation Blind Modeling Tool – Users Guide".
Notes: See Presentation "Tesla 2170 Cell Data and SOC Estimation Blind Modeling Tool – Users Guide" for further details.
Note: Up to 1000 features for each file are displayed
Citation
APA Citation:
Kollmeyer, P. J., Khanum, F., Naguib, M., & Emadi, A. (2023). Tesla Model 3 2170 Li-ion Cell Dataset and Battery SOC Estimation Blind Modeling Tool [Data set]. McMaster University Dataverse. https://doi.org/10.5683/SP3/ZVTR4B