Reliability Analysis of Batteries in Intelligent Home Appliances Based on Fuzzy Petri Nets

Lithium batteries are present in smart home appliances such as robotic vacuum cleaners, and the safety of lithium batteries has always been a focus of attention for scholars. This article introduces the Fuzzy Petri Nets inference algorithm based on the generalized sum and generalized product operators, and then obtains the algorithm of importance parameter. It has been well applied in the safety analysis of lithium batteries in smart home appliances, and the effectiveness of the algorithm has been verified. That is, using fuzzy Petri nets can effectively solve the problem of uncertain fault correlation in fault tree analysis. At the same time, the importance parameter is used to evaluate the importance of various initial libraries to the final result.