Multi-dimensional signal evolution and early warning strategy for thermal runaway of large-capacity lithium-ion battery under preload force

Key Points

• Stopping thermal runaway relies on a multi-dimensional signal evolution approach, enhancing safety.
• Key metrics include early identification signals derived from the influence of preload force on battery performance.
• Analysis based on real-time thermal and electrical data demonstrates vulnerability to thermal runaway events.
• Supporting early warning strategies may safeguard against battery failures, especially under heavy preload conditions.