Battery Intelligence, Prognosis and Management
Monday, 10 March 2025
Format: Talk/ Panel Session
As EV adoption accelerates, intelligent battery management is the key to unlocking longer lifespans, greater efficiency, and enhanced safety. This session explores cutting-edge developments in predictive analytics, AI-driven battery health monitoring, and advanced BMS strategies. With battery lifetimes expected to double by 2030, smarter battery management will be essential for cost reduction and sustainability.
Key Themes:
- AI-driven predictive maintenance to prevent early degradation
- The role of digital twins in real-time battery diagnostics
- Maximising cycle life through state-of-health (SoH) tracking
- How data-driven BMS can enhance energy efficiency and safety