Core Viewpoint - Safety remains the most important topic in the automotive industry and is the starting point for smart vehicles and the ultimate test for autonomous driving [1] Group 1: Autonomous Driving Levels and Regulations - The global automotive automation level classification is consistent, ranging from L0 to L5, with L2 being entry-level assisted driving and L3, L4, and L5 classified as autonomous driving [3] - In December 2025, the Ministry of Industry and Information Technology announced that Changan Automobile and BAIC Jihe received the first batch of L3 conditional autonomous driving vehicle permits in China [3] - The penetration rate of vehicles with L2 combined driving assistance functions is expected to reach 66.1% by the end of 2025 [4] Group 2: Limitations of OTA Upgrades - It is not feasible to upgrade L2 vehicles to L3 through OTA (Over-The-Air) updates due to hardware limitations [4] - The electronic architecture of L2 vehicles does not meet the safety and computational requirements for L3 autonomous driving [4] Group 3: Role of AI in Smart Vehicles - AI is driving the revolution in automotive intelligence and is considered the "soul" of smart electric vehicles, with electric vehicles serving as the foundational platform [5] - The use of language models in smart cockpits and the integration of deep learning models in intelligent driving are becoming common [6] - By 2026, visual language models and world models are expected to be significant trends in intelligent driving [6] Group 4: Safety Challenges in Autonomous Driving - Key safety issues remain unresolved in autonomous driving, which is a major reason for its lack of realization [8] - Unknown risks during the operation of combined assistance driving systems include dangerous takeovers due to misidentification of targets and emergency system misactivations [9] - The requirements for safety in autonomous driving have expanded to include cybersecurity, functional safety, and expected functional safety [9] Group 5: Future of Smart Vehicles - The development of smart vehicles has reached a crossroads, with L2 intelligent assisted driving improving vehicles, L3 autonomous driving potentially revolutionizing them, and L4 driverless technology transforming mobility [10] - There is an expectation for L3 vehicles to achieve stable operation at full speed on highways, including speeds of 0-120 km/h and above [10]

其中，新能源汽车占比快速提升。2025年1-11月新能源汽车（含出口）1478万辆，国内渗透率50.3%， 预计全年约1670万辆；2026年新能源汽车销量（含出口）有望达到2000万辆，国内渗透率57%；2030年 国内渗透率超过70%。 电动化中新一代电池技术进入兑现应用期，全固态电池有望在未来2年完成小批量上车，预计2030初步 规模化应用，2035大规模量产应用；同时辅助驾驶实现规模化上车，L2级组合驾驶辅助功能进入普及 阶段，下沉市场是重点。今年1-9月L2组合驾驶辅助功能乘用车新车渗透率64.0%，2026年将达70.0%， 2030年达到90.0%。 对于明年国内汽车销量的增长预期，张永伟在媒体问答环节给出了三个方面的动力。一是政策助力。明 年经济发展更加依赖汽车行业，从稳经济的角度来讲，确实需要更加重视汽车的发展，特别是消费，汽 车是核心拉动性的领域。这两年消费侧的政策对新能源汽车是重要的支撑作用，明年这个产业的发展仍 然非常需要消费端政策的支持。 二是出海的增量。他认为，出海不只是产品销售的需要，也是企业盈利的需要。大家都知道到海外卖车 利润率高。所以他会拼命去海外卖车，改变自己的盈利结构。 ...