Fire risk assessment of battery transportation and storage by combining fault tree analysis and fuzzy logic

Abstract

Battery transportation and storage is an important part in the whole lifespan of batteries. It's significant to make a way to assess the fire risk of batteries during transportation and storage preventing from fire accident. This study presents a novel fire risk assessment method for lithium-ion batteries during transportation and storage. 8 possible failure paths and 9 basic events are deduced by fault tree analysis method. Likehood, severity, and hazard control number are selected as indexes for assessing the hazard risk number (HRN) of each possible failure path and fire accident. To comprehensively assess the value of these indexes, corrosponding sub-indexes are proposed and analyzed by synthesis through fuzzy logic method. To ensure the safety of batteries, four parameters including the synthesis HRN, HRNs of all possible paths, likelihood and severity of all basic events are suggested to set the limitation. The case study of battery transportation by marine verified the proposed method can accurately assess fire risk and locate the possible problems.