Risk Assessment Model and Safety Management of Lithium Battery Fire Based on Bayesian Network

Key Points

• Proper risk assessment models are crucial for predicting lithium battery fires, enhancing fire safety protocols.
• The Bayesian network clearly identifies key risk factors, allowing for better decision-making regarding battery management.
• Implementation of safety management strategies can significantly reduce the likelihood of fire incidents.
• Further validation in real-world scenarios is needed to ensure broader applicability of the predictive model.