Intelligent Battery Monitoring

This project leverages intelligent algorithms to monitor the status and lifespan of battery systems in real time, optimizing energy storage solutions and supporting stable operation of renewables and electric vehicles.

Key features:

• Data collection & analysis: gather temperature, voltage, and charge/discharge data from battery cells.
• Predictive maintenance: use machine learning models to forecast battery failures and degradation trends.
• Visualization dashboard: provide operators with real-time health status and performance metrics.

For more information, see the project overview.