.. _auto_dataset_eis_data_processor:

*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
------

.. list-table::
   :header-rows: 1
   :widths: 20 20 20 20 20 20

   * - 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
-------

.. list-table::
   :header-rows: 1
   :widths: 20 20 20 20

   * - 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 <https://www.d3view.com/api/workflow/example?id=dataset_eis_data_processor>`_

.. raw:: html

   <hr style="margin-top:2em">
   <p style="font-size:11px;color:#888">
   Auto-generated from <code>transformation</code> schema. Worker id: <code>dataset_eis_data_processor</code>. Schema hash: <code>e834c68405c6</code>. Hand-curated docs in <code>workerexamples/</code> override this page when present.
   </p>