汽车架构融合

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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· 2025-07-08 07:49
Core Insights - The integration of smart cockpit and smart driving functions, termed "cockpit-driving integration," is rapidly developing in the Chinese market, driven by companies like NIO, Xpeng Motors, and others [1][2] - The evolution of automotive architecture is central to industry transformation, with a shift from distributed systems to centralized electronic and electrical architectures [2][6] - The advantages of "cockpit-driving integration" include shared computing power and cost reduction, prompting more automakers to consider this approach [6][7] Industry Trends - The automotive architecture is transitioning from a distributed system to a centralized one, with three main forms emerging: integrated driving and parking, integrated cockpit and parking, and cockpit-driving integration [2] - Centralized computing, particularly using a single System on Chip (SoC), is becoming a new phenomenon, with Qualcomm's Snapdragon Ride Flex SoC exemplifying this trend [2][6] Technological Developments - The increasing number of cameras in vehicles has blurred the lines between data used for cockpit functions and driving assistance, facilitating the development of "cockpit-driving integration" [6] - Companies like NIO are implementing centralized computing platforms that allow for shared computing power across different tasks, enhancing operational efficiency [6][7] Challenges and Solutions - The challenge of "system multi-domain parallelism" remains, as integrating the different requirements of smart cockpit and smart driving systems is complex [8][12] - Qualcomm is focusing on heterogeneous computing to address these challenges while ensuring safety and power control [8][12] Future Outlook - The "cockpit-driving integration" trend is expected to lead to increased collaboration among automakers, chip suppliers, and software developers [14] - While "cockpit-driving integration" is currently a strong solution, it may not be the ultimate answer as higher levels of smart driving technology emerge [15]