Core Insights - The automotive industry's competition has evolved from manufacturing and configuration to a comprehensive focus on intelligent driving, necessitating a systematic organization and technological framework for sustainable innovation [1][3] - The penetration rate of L2-level intelligent driving is expected to exceed 60% this year, but the industry faces increasing homogenization, leading to a competitive landscape characterized by iterative improvements rather than genuine differentiation [1][6] - Regulatory frameworks are tightening, emphasizing safety and standardized development in intelligent driving, which presents a challenge for companies to achieve technological breakthroughs within compliance [1][2] Industry Trends - The shift from a focus on functional competition to a balance between safety and innovation is becoming evident, requiring companies to enhance their technical reserves to ensure quality and speed in mass production [2][7] - The integration of intelligent driving with smart cockpit and electronic architecture is essential for long-term competitive advantage, as seen in the "Yuanjing Intelligent System" developed by BAIC [3][11] - The adoption of intelligent driving features in the domestic new energy passenger vehicle market has increased significantly, with L2-level and above installation rates surpassing 82.6% in the first half of the year, indicating a growing consumer demand for these technologies [6] Safety and Innovation - Establishing a consensus on safety as a foundational principle is crucial for balancing innovation and safety, necessitating multi-dimensional support from regulations, standards, and industry collaboration [7][8] - The development of a comprehensive safety verification system is vital, with BAIC implementing a "one core, three rings" safety development framework to enhance testing efficiency and coverage [8] - Companies are encouraged to share testing resources to avoid redundant investments and foster innovation at a higher safety baseline [8] Strategic Approaches - Companies must choose between "full-stack self-research" and "ecosystem collaboration" based on their capabilities and goals, with many opting for a hybrid model that combines core self-research with strategic partnerships [9][11] - BAIC's strategy emphasizes maintaining control over product definition and system integration while collaborating with leading firms like Huawei and Pony.ai to enhance their technological capabilities [9][11] - The depth of technological reserves directly influences the speed and quality of mass production, with BAIC focusing on data-driven safety validation and foundational capabilities to ensure compliance with stringent regulations [11]
智驾不是 “功能竞赛”!独家对话北汽研究总院副院长郑新芬:行业已进入 “体系竞争” 阶段