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Battery Failure Surfaces Dataset
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.
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