Recently, a research team led by Professor Wang Qingsong from the National Key Laboratory of Fire Safety at the University of Science and Technology of China (USTC) has proposed a new method for early anomaly recognition in lithium-ion batteries. This method integrates the coupling relationship between internal pressure and temperature, along with multi-source data, to achieve precise discrimination of early anomalies. The relevant research findings have been published in Science Bulletin, with the paper titled 'Early-stage anomaly discrimination in lithium–ion batteries using internal pressure–temperature coupling and multi-source data fusion.'
