A fire risk assessment method for high-capacity battery packs using interquartile range filter

Lithium-ion batteries are chosen as the most suitable device for energy storage system (ESS) due to their high energy density. However, lithium-ion batteries have high chemical reactivity, which increase the fire risk of products using them. Accordingly, various studies have been conducted to prevent lithium-ion battery-fire accidents but the main purpose of the conventional studies was to prevent the spread of fire after it started rather than predicting the risk of fire. Thus, there is a limit to reducing the maintenance time and cost of ESS. In this paper, a new method for real-time monitoring of the fire risk during operation of the battery pack is proposed. It combines with the electrochemical theory while using the real-time data from the electrically measured factors to select the aged cells. Also, a method of assessing the fire risk of battery packs by applying the interquartile range (IQR) filter to real-time data obtained from the electrically measured factors of battery packs is proposed. The feasibility of the proposed method is verified by the experiment using the specifications of the high-capacity battery packs used for railway vehicles.