Battery Failure Surfaces is a battery failure simulation dataset designed to study the lifecycle and failure modes of batteries under different operating stresses. This physics-inspired synthetic dataset simulates the state changes of batteries during charge-discharge cycles and is suitable for risk modeling and safety boundary discovery. Dataset composition: – The dataset demonstrates path-dependent degradation, irreversible damage accumulation, and a chemically specific safety envelope.

• Includes rare thermal runaway events, suitable for quantitative regression, survival analysis, and risk optimization. Data Fields: – Including different battery chemistry compositions: lithium-ion batteries (NMC), LFP, and solid-state batteries Each chemical component has different thermal and charging constraints.