EUC SoH is a state-of-health (SoH) analysis tool for electric unicycles. It processes ride logs from popular EUC logging apps to estimate battery health, internal resistance and long-term degradation patterns.

The app runs entirely on-device, without trackers or network access. It is fully free and open source under the AGPL license.

Main features:
- Scan storage recursively to discover WheelLog and EUC World subfolders and CSV log files automatically.
- Parse ride logs and separate accepted files from rejected ones, with clear rejection reasons (too few data points, invalid Req computation, etc.).
- Compute state-of-health metrics such as equivalent resistance (Req) and CUSUM-based indicators.
- Display interactive charts using MPAndroidChart to visualize resistance evolution and SoH trends over time.
- Maintain per-wheel file management: inspect which logs belong to each wheel, exclude problematic files, and keep only the relevant data set for analysis.
- Export a structured archive suitable for resale, expertise or maintenance: a PDF report (soh.pdf), a statistics summary CSV, plus the corresponding WheelLog and EUC World logs, organized by wheel identifier.
- Offer direct sharing of the generated PDF and archive to messaging apps, e-mail or cloud storage, with a UX designed around a small number of clear actions.
- Work offline by default; no account, no registration, no external server.

Typical workflow:
1. Scan storage for folders where WheelLog or EUC World logs are stored.
2. Let EUC SoH scan subfolders recursively to find all compatible CSV files and group them by wheel.
3. Run the SoH analysis to compute Req and related metrics, then inspect the generated charts for long-term battery degradation.
4. Review the list of accepted and rejected logs files during the analysis.
5. Export a PDF report along with a structured archive of the underlying logs, ready to be shared with a buyer, technician or for your personal records.

EUC SoH is intended for technically minded riders, enthusiasts and repair shops who need transparent and reproducible diagnostics for electric unicycle battery health.

Based on https://hal.science/hal-05553115