DATASET EIS DATA PROCESSOR

Processes Electrochemical Impedance Spectroscopy (EIS) dataset columns by separating real and imaginary impedance components, mapping state-of-charge and cell identifiers, optionally digitizing the impedance curves to a fixed number of points, and optionally optimizing the resulting representation. Use this worker to prepare raw EIS tabular data for battery modelling or further analysis workflows.

When to use

Classification: process.

Tagged: battery, dataset_transform, digitize, eis, electrochemical_impedance_spectroscopy, impedance, optimize, soc.

Inputs

Label ID Type Default Required Description
Dataset dataset_1 dataset   Input tabular dataset containing raw EIS measurements; must include columns for real and imaginary impedance components as well as SOC and cell identifiers.
Imaginary Data Column Prefix im_prefix text   Column-name prefix that identifies imaginary-part impedance columns in the dataset (e.g. ‘Im_’); leave blank if imaginary columns carry no shared prefix.
Real Data Column Prefix rl_prefix text   Column-name prefix that identifies real-part impedance columns in the dataset (e.g. ‘Re_’); leave blank if real columns carry no shared prefix.
SOC Column soc_col text   Name(s) of the column(s) representing State-of-Charge values; supports multiple selections driven by the input dataset column list.
Cell Column cell_col text   Name(s) of the column(s) identifying individual battery cells; supports multiple selections driven by the input dataset column list.
Ref Cell Value ref_col_value text 50   Reference cell identifier value used to anchor or normalise impedance across cells; defaults to 50.
Number of Points to Digitize digitize text 10   Number of evenly-spaced points to which each EIS curve is re-sampled (digitized); defaults to 10 — increase for higher curve fidelity, leave null to skip digitization.
Optimize optimize string no   Optional optimization mode or parameter string applied after digitization; leave null to skip the optimization step.

Outputs

Label ID Type Description
dataset_drop_columns_output_1 dataset_drop_columns_output_1 dataset Processed EIS dataset with separated, optionally digitized and optimized real/imaginary impedance columns, ready for battery modelling or downstream ML workflows.

Disciplines

  • data.dataset.transform
  • engineering.battery
  • engineering.material.characterization

Runnable example

A runnable example is registered for this worker. Open the example workflow on the d3VIEW canvas: /api/workflow/example?id=dataset_eis_data_processor


Auto-generated from transformation schema. Worker id: dataset_eis_data_processor. Schema hash: e834c68405c6. Hand-curated docs in workerexamples/ override this page when present.