This invention discloses a real-time tracking method and
system for disaster-causing parameters of
solid-state batteries, relating to the field of health management technology. By employing alkaline absorbent chemical
trapping combined with offline quantitative analysis using
ion chromatography, it efficiently and accurately traps and analyzes
sulfide gases, overcoming the problems of strong corrosiveness, easy oxidation, and difficulty in accurate quantification of
sulfide gases in traditional detection methods. This improves the accuracy of
sulfide ion mass concentration Clz and
recovery rate Hsl. Simultaneously, through the synergistic effect of a two-stage series absorption device and a dynamic flow-time adjustment strategy, and by calculating the dynamic flow rate adjustment coefficient Xcxs and comparing it with the safety threshold W, efficient
trapping and stable enrichment of the absorbent are ensured throughout the entire gas production stage of
thermal runaway. Furthermore, a tracking and prediction model is constructed to fit and obtain the comprehensive disaster-causing index Zfzs of
thermal runaway, enabling real-time tracking of the disaster risk of
solid-state batteries and compensating for the shortcomings of existing technologies in quantitative research on toxic sulfide gases.