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从AI驱动到安全进阶:动力电池研发迈向智能化
Xin Hua Wang· 2025-07-11 03:32
Core Insights - The forum highlighted the integration of AI technology in the research and development of power battery technology, emphasizing breakthroughs in all-solid-state batteries and advancements in battery safety management and recycling [1][4] - Experts discussed the importance of energy density in next-generation high-nickel ternary power batteries, with a focus on safety research and real-time control methods [2][3] Group 1: AI and Battery Technology - The establishment of a national laboratory for battery safety aims to create an AI-based battery R&D platform, enhancing efficiency and intelligence in the development process [1][2] - AI-driven methods for predicting thermal runaway in batteries have been developed, supporting safety design across various systems and conditions [2][3] Group 2: All-Solid-State Battery Developments - All-solid-state battery technology, particularly using sulfide systems, is expected to gather industrial resources and achieve breakthrough progress within the next five years [3] - The forum showcased advanced technologies for lithium battery safety management, including real-time thermal safety estimation and multi-dimensional early warning systems [3] Group 3: Recycling and Utilization of Retired Batteries - Current commercial models focus on the recovery of battery metals and the second-life utilization of retired batteries, with research aimed at selective metal extraction and performance enhancement of recycled materials [3] - Discussions included innovative paths for battery materials, optimization strategies for low-temperature charging, and safety management systems for high-temperature thermal runaway risks [3][4]