College - Author 1
College of Engineering
Department - Author 1
Electrical Engineering Department
Degree Name - Author 1
BS in Electrical Engineering
College - Author 2
College of Engineering
Department - Author 2
Electrical Engineering Department
Degree - Author 2
BS in Electrical Engineering
College - Author 3
College of Engineering
Department - Author 3
Electrical Engineering Department
Degree - Author 3
BS in Electrical Engineering
Date
7-2026
Primary Advisor
Dale Dolan, College of Engineering, Electrical Engineering Department
Abstract/Summary
This project developed a real-time power and efficiency monitoring system for a SportsArt ECO-POWR stationary exercise bicycle. The goal was to measure rider mechanical power and electrical power delivered to the utility grid simultaneously, allowing the overall bike-to-grid efficiency to be calculated and displayed in real time. Rider power was measured using Garmin Rally ANT+ power pedals, while grid power was measured using a Yokogawa WT310E power analyzer. A Raspberry Pi 3 Model B+ synchronized both data sources, calculated efficiency, displayed live performance metrics through a graphical user interface, and logged measurement data to CSV files for later analysis. The original project scope included measuring power at additional points within the bicycle's energy conversion system. During development, however, hardware limitations prevented reliable implementation of generator-side measurements within the available project timeline. The final system therefore focused on rider power and grid-side power while maintaining the project's primary objective of demonstrating the relationship between rider effort and electrical power delivered to the grid. Testing with multiple riders verified reliable communication between the sensing devices, synchronized data acquisition, real-time efficiency calculations, and successful data logging. The completed system provides a practical platform for monitoring power flow and evaluating energy conversion efficiency, while also providing a foundation for future teams to expand the system with additional measurement points.
URL: https://digitalcommons.calpoly.edu/eesp/742