Time Series Fuel Comparison App

MATLAB app for comparing vehicle fuel economy time-series data from MAT, CSV, Excel, MDF, and MF4 files with signal mapping, synchronized pl

Time Series Fuel Comparison App is a MATLAB app for comparing vehicle fuel economy simulation data and measurement time-series data.

Main features:

- Load MAT, CSV, Excel, MDF, and MF4 files

- Select Excel sheets when importing Excel files

- Compare Case A and Case B time-series data

- Normalize signal labels using signal_map.csv

- Display only signals that exist in both Case A and Case B

- Show four synchronized time-series plots

- Synchronize X-axis zoom and pan across plots

- Use synchronized cursor values

- Adjust time offset with A/B time shift inputs

- Recalculate metrics based on the displayed time range

- Compare fuel economy, fuel consumption, distance, average speed, and fuel flow metrics

The app runs locally in MATLAB. Imported data is not uploaded to external services.

For MDF/MF4 files, the app can use MATLAB MDF support when available. If MATLAB MDF support is not available, it can use Python with the asammdf package to convert MDF/MF4 data to CSV before importing.

Required files:

- TimeSeriesFuelComparisonApp.m

- run_TimeSeriesFuelComparisonApp.m

- signal_map.csv

- mdf_to_csv_for_matlab.py

To start the app, place the files in the same folder, set the folder as the MATLAB Current Folder, and run:

run_TimeSeriesFuelComparisonApp