Core Viewpoint - The article highlights the development of a novel and reliable quantitative assessment framework for battery safety by the Li Auto battery team, in collaboration with the Chinese Academy of Sciences, which has been recognized in the international journal "eTransportation" [1]. Group 1: Research and Framework - The research introduces a probabilistic evaluation framework that combines real-world fleet data with laboratory testing to estimate the probability of self-triggered thermal runaway (STR) in battery cells, achieving results at the parts-per-million (ppm) level [2][5]. - This framework is the first of its kind in the industry to quantitatively assess the probability of thermal runaway in battery cells, addressing a critical safety concern that has long been unquantified [2][5]. Group 2: Safety Management and Implementation - The study provides scientific support for the safe operation of battery packs throughout their lifecycle by quantifying the thermal runaway probability under various health conditions and charge states, enabling precise safety management and charging optimization strategies [7]. - Li Auto has implemented a real-time battery safety probability calculation system, known as the Battery Intelligent Manager, which enhances the ability to identify potential hazards earlier and more accurately [9]. Group 3: Industry Impact - The quantitative assessment framework is highly applicable across the industry, shifting battery safety risk assessment from an experience-driven approach to a data-driven model, thus ensuring more scientific and precise safety guarantees throughout the battery lifecycle [9]. - Li Auto has already met new national standards three years ahead of schedule, reinforcing its battery safety monitoring capabilities and providing users with quantifiable and predictable safety measures [9].