国家知识产权局信息显示，中国汽车工程研究院股份有限公司;北京链宇科技有限责任公司申请一项名 为"评估动力电池健康状态的方法、装置和存储介质"的专利，公开号CN121454333A，申请日期为2025 年10月。 专利摘要显示，本申请涉及电数字数据处理领域，提供了评估动力电池健康状态的方法、装置和存储介 质。所述方法包括：执行全容量循环测试，基于动力电池的实际容量计算容量型健康状态SOH_C；执 行增量容量分析测试，基于增量容量曲线计算增量容量分析健康状态SOH_ICA；执行混合脉冲功率特 性测试，以基于直流内阻计算功率型健康状态SOH_P；在全容量循环测试、增量容量分析测试和混合 脉冲功率特性测试中的至少一个测试过程中，通过电池管理系统BMS通信单元实时记录动力电池的 BMS数据，并对BMS数据进行分析以获取一致性参数；基于SOH_C、SOH_ICA、SOH_P和一致性参 数，进行数据融合与综合健康状态评估，输出综合SOH评估结果。本申请的对动力电池SOH进行全面、 精准和可诊断的综合评估。 天眼查资料显示，中国汽车工程研究院股份有限公司，成立于2001年，位于重庆市，是一家以从事专业 技术服务业为主的企业。 ...

Core Viewpoint - The increasing frequency of extreme weather events globally poses significant challenges to the reliability and safety of automotive products, prompting heightened consumer concern and the need for improved environmental adaptability standards in the Chinese automotive industry [1][3]. Group 1: Industry Context - The Chinese automotive industry is transitioning from a strategy focused on "scale expansion" to one centered on "quality leadership," emphasizing the importance of environmental adaptability as a critical aspect of automotive quality [3]. - The establishment of a comprehensive automotive quality environmental adaptability standard system is deemed essential for enhancing the global competitiveness and reliability of Chinese automotive products [4]. Group 2: Conference Insights - A seminar organized by the China Automotive Standardization Research Institute was held to discuss the construction of an automotive quality environmental adaptability standard system, attended by over 40 experts from various sectors [1][2]. - Experts presented reports on the current execution status, practical application challenges, and future research directions regarding automotive extreme environment adaptability standards, sharing valuable experiences and technical knowledge [2][3]. Group 3: Strategic Importance - The construction of a scientific, systematic, and advanced automotive quality environmental adaptability standard system is viewed as a key factor in supporting the high-quality international expansion of Chinese automotive products and enhancing their international competitiveness [4].

Core Viewpoint - The introduction of the "Human-Machine Co-Driving" accident liability determination solution marks a significant innovation in the insurance industry, addressing the complexities of liability in the era of intelligent driving [1][4]. Group 1: Industry Innovation - The solution provides a framework for determining liability in accidents involving L2 level assisted driving, moving away from the traditional single responsibility model based on driver fault [1][2]. - It establishes a system that is "technically credible, responsibility traceable, and legally reliable," which alleviates consumer concerns about liability in accidents [1][3]. Group 2: Mechanism and Technology - The "Human-Machine Co-Driving Insurance" employs a three-tier mechanism of "data storage, intelligent liability determination, and judicial appraisal," creating an immutable "digital evidence chain" for accident analysis [2][3]. - The use of deep learning algorithms allows for rapid generation of accident analysis reports, clearly delineating the responsibilities of drivers, manufacturers, and algorithm suppliers [2][3]. Group 3: Risk Management and Product Development - Insurance companies can now design risk coverage plans based on the level of autonomous driving, with clear responsibility assignments for different levels of technology [2][3]. - The introduction of tiered insurance products based on vehicle usage and driving behavior allows for more customized and scenario-based insurance offerings [3][4]. Group 4: Impact on Automotive Industry - The new liability determination framework encourages manufacturers to focus on extreme scenarios that are often overlooked, thereby improving the robustness of their algorithms [3][4]. - The shift from a "compensation economy" to a "prevention economy" opens up a trillion-dollar market for intelligent driving risk management [4].