Research On Vehicular Battery Compartment Intelligent Fire Extinguishing System Based On Bayesian Network

The role of vehicles in people's travel become more and more important,but the vehicle safety problems come are getting more and more concerned.Because of the complex environment of vehicle lithium battery cabin has,it is difficult to implement effective monitoring.On the other hand,lithium battery cabin is easy to evolve in fire accidents while it will inevitably cause huge property loss and bring undesirable social effects,if fire or explosion occurs.In view of that,this article has proposed a research on lithium battery cabin fire extinguishing systems for vehicle based on Bayesian network.According to the historical temperature data of the vehicle environment and improving the system reliability,the main innovation of this paper is that the system automatically learns to obtain the temperature change curve.Based on the analysis of the battery module structure and the cabin heat source,the Pyrosim software is used to obtain the heat and heat in the battery compartment.Distribution of diffusion channels,combined with experimental data,targeted sensors and fire extinguishing devices are setting on the heat concentration and heat transfer channels;multiple sensors such as temperature,and smoke are integrated to realize multi-dimensional observation of fires.The failure and false alarm probability of each sensor are established.Based on the reliability theory,a fire judgment algorithm based on Bayesian network is designed.Its main work includes the following:(1)System hardware design: Based on STM32F103 designed lithium battery cabin fire extinguishing device.The main body of the device consists of three parts: a data sensing module,a decision module,and a response module.The perception module senses the environment,the decision module determines whether a fire has occurred,and the possible location of the heat source at the time of occurrence.The response module is responsible for ejecting the dry powder fire extinguishing agent to extinguish the flame.(2)Structure layout: Introducing Pyrosim analysis technology,the layout of sensors and fire extinguishing materials takes into consideration the distribution of the battery compartment environment and the thermal field,and allows targeted layout of dangerous locations such as heat accumulation points.(3)Recognition algorithms: The use of multiple sensors,reliability theory and the introduction of Bayesian networks make this system more robust to a small number of sensor failures and false positives.The article was simulated based on Pyrosim software and a real vehicle experiment was conducted.The results show that the system performs well in both sensitivity and reliability.This study provides a novel solution for the extinguishing method of car battery compartments and provides a useful reference for related research.