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“舱驾一体”加速上车:算力共享与成本博弈下,融合难题仍待解
Mei Ri Jing Ji Xin Wen· 2025-08-28 12:34
Core Insights - The rapid development of "integrated cockpit and driving" in the Chinese market is driven by the fusion of independent smart cockpit and smart driving functions, creating a powerful "central brain" for managing all intelligent features of vehicles [1][2] - The evolution of automotive architecture is becoming the core of transformation in the automotive industry, with a shift from distributed systems to centralized systems [2][3] Industry Trends - The automotive architecture is transitioning from a distributed system with multiple independent "brains" to a centralized system, leading to the emergence of three main forms: integrated driving and parking, integrated cockpit and parking, and integrated cockpit and driving [2] - The trend towards centralized computing is exemplified by the adoption of a single universal SoC (System on Chip) as the core of central computing, with Qualcomm's Snapdragon Ride Flex SoC being a key player in this new phenomenon [2][3] Technological Advancements - The advantages of "computing power sharing" and cost reduction are prompting more automakers to consider the "integrated cockpit and driving" solution, as the computing power of cockpit SoCs and driving SoCs continues to increase [3][4] - NIO's central computing platform, ADAM, can share up to 256 TOPS of computing power between driving and cockpit functions, enhancing operational efficiency [3] Challenges - The challenge of "system multi-domain parallelism" remains a significant hurdle for the "integrated cockpit and driving" approach, as the differing focuses of smart cockpit and smart driving systems complicate their integration [4][5] - The increasing number of display interfaces and the need for advanced human-machine interaction (HMI) further elevate the computing power requirements for AI technologies in vehicles [5][6] Future Outlook - Many players in the automotive industry are actively launching products related to "integrated cockpit and driving," with over ten Chinese automakers and ecosystem partners planning to adopt the new Snapdragon automotive platform [6][7] - While "integrated cockpit and driving" is currently a leading solution, it may not be the ultimate answer for future smart driving technologies, indicating a need for ongoing evaluation as advancements occur [7]