In-person workshop
Industrial EIS Fundamentals
From clean signals to interpretation
EIS is a non-invasive window into your cells. But a spectrum is only as good as your signal and how you read it. This in-person workshop covers the essentials: how EIS works, how to set up and validate a signal, and how to read Nyquist and Bode plots. You will also see when multisine EIS saves time. Every example comes from real battery, fuel cell, and hydrogen work.
- Configure EIS signals that stay linear, causal, and stable
- Read Nyquist and Bode plots to separate real physics from noise
- Use multisine EIS to cut measurement time without sacrificing data quality
Built for teams running EIS on batteries, fuel cells, and electrolysers under real program pressure.
Format and logistics
Workshop agenda
| 9:00 AM to 10:00 AM | Breakfast |
|---|---|
| 10:00 AM to 1:00 PM | Workshop |
| 1:00 PM to 2:00 PM | Lunch |
| 2:00 PM to 5:00 PM | Networking |
Only as good as your signal
EIS sends a small AC signal into a cell and measures the response across frequencies. That reveals degradation, state of charge, and failure modes, without disturbing the cell. But a result is only valid if three things hold: linearity, causality, and stability. Get the signal wrong, or misread the plots, and you fit circuits to noise. This workshop walks the full chain: measure, optimize, validate, interpret.
A spectrum only supports a decision when every step upstream holds.
EIS fundamentals that hold up to scrutiny
- What EIS measures and how different frequencies probe different processes (ohmic, charge transfer, diffusion)
- How to optimize signal amplitude for linearity, causality, and stability, and when to choose galvanostatic over potentiostatic
- How to validate data with Kramers-Kronig tests
- How to interpret Nyquist and Bode plots and build defensible equivalent circuit models without overfitting
- When multisine EIS speeds up testing, and how crest-factor optimization protects signal quality
See a couple of the ideas in action
A quick, hands-on taste of two concepts we cover live. Want to go deeper? The full set lives in our Knowledge Centre.
Why signal quality matters
Toggle between a clean and a noisy spectrum to see how noise corrupts the same measurement.
Open in Knowledge Centre →Reading DRT from a spectrum
Adjust the circuit parameters to see how DRT separates overlapping processes by time constant.
Open in Knowledge Centre →Built for teams making real decisions
Battery, fuel cell, and electrolyser OEMs
R&D leaders, test engineers, and validation teams adopting or formalizing EIS
Teams building equivalent-circuit models or moving EIS into QA and production
Use cases
Real-world case studies you can review before the session.