YannickNoelStephanKuhn/EP-BOLFI: Automatization suite for the preprocessing, analysis, and parameterization of battery data

This major update to EP-BOLFI contains automization-suitable scripts for the execution of the optimization and utility routines that were already there. These are written to be used with the database software Kadi4Mat, but you may adapt them to other storage solutions with minimal changes. Additionally, some data operations may be automated such that no script is needed for an entire parameterization of timeseries or impedance data.

• GITT parameterization workflow, based on the comparison of square-root behaviours between measurements and PyBaMM models.
• Draft of an impedance parameterization workflow, based on Distribution of Relaxation Times features and an analytic solution of the SPMe (and hence, DFN) model.
• Interactive exploration of model parameter influences on impedance.
• Extraction of measurement protocol, dynamic behaviour features, and static OCV information from timeseries measurements.
• Extraction of overpotential from timeseries voltage data.
• Apache Parquet file format support for compact handling of measurement data.
• Various utility functions for dataset transformations, spline fitting, and visualization.

For the BASF battery dataset used in the examples, please find it at https://zenodo.org/records/7478267.

Install with pip install ep-bolfi.