EIS Audit Studio
Find measurement problems before they become conclusions.
Review impedance spectra, identify data-quality issues and export reports that retain the measurement context.
Explore the free preview and compare planned individual and laboratory licenses for the local edition. Online purchasing is not yet available.
Compare license optionsSynthetic, deterministic domain illustration. Axes/units are displayed in the plot; not measured evidence.
What this module does
Map CSV columns, group spectra, check frequency order and data consistency, and review Nyquist and Bode plots. Export summaries and flags with the original input retained in JSON.
Intended users
Research groups doing repetitive EIS quality review
One model.
Two complementary views.
The complex-plane Nyquist chart above and the frequency-dependent Bode view below are calculated from the same synthetic Rₛ + (Rct ∥ C) circuit. This is not Kramers-Kronig validation or empirical model fit.
Reference only · Rs = 42 mΩ · Rct = 24 mΩ · C = 7 F · 10⁻³-10⁵ Hz
Why both views matter
Nyquist makes the complex-plane response legible; Bode displays frequency dependence explicitly. Agreement with a visual shape does not establish measurement stationarity, causality, or equivalent-circuit identifiability.
Before any physical interpretation
Confirm frequency ordering, negative-imaginary sign convention, phase units, instrument state, residuals, and the applicability of any chosen physical model. ECM fitting and Lin-KK are outside this browser preview. A separate local Python research engine exists. It is not part of this browser edition; its numerical evidence and experimental limitations are documented separately.
Inputs, outputs.
Explicit boundaries.
Check the required fields, inspect the reported quantities and review the limits before interpreting a result.
Required measurement context
Frequency (Hz), real impedance Re(Z) in Ω, and signed Im(Z) or exported −Im(Z) in Ω. Confirm the column convention. Optional magnitude and phase enable consistency checks when their units are explicitly declared. Use separate columns for each measurement; confirm sweep, channel and cell identifiers before grouping. The public open-data demo accepts a single spectrum; multi-sweep review belongs to the local evaluation edition.
Computed outputs
Sweep grouping · Data-quality flags · Sign convention confirmation · Nyquist and Bode plots · JSON reports with retained input, summary CSV and warning CSV in the local evaluation edition. HTML export is disabled.
What these results do not establish
A discrepancy warning is not a diagnosis. Interpretations of Lead-Acid or Li-ion cell health require chemistry-specific and experiment-specific independent validation.
For industrial decisions, confirm the method against your instruments, sampling plan and operating conditions.
Start with an example.
Inspect the outputs.
Run a labeled example, then review the inputs, methods and limitations for your intended use.
Choose your user scope.
Choose one named user or up to five named users in one laboratory. Both editions use the same core calculations and documented limits.
Versioned local HTML/JavaScript package, examples, guide and license. Local edition input limits: 12 MB file size and 50,000 records per analysis. Browser availability and exports depend on the tested platform; see installation, limits and known issues. HTML export is disabled. Online purchasing is not yet available. Prices shown are planned launch pricing.
Put this workflow
against a factory question.
One agreed historical dataset, a documented analysis and a bounded readout. No automatic production decisions or unmeasured savings promises.