智能座舱功能分类指南

October 2025 Preface With the rapid development of automotive electrification and mobile internet in China,intelligent vehicle development is leading the automotive industry into a new era. In recentyears, various policies and guidelines have been issued domestically and internationallyto support the development of intelligent connected vehicles. Cockpit functionality As technologies such as artificial intelligence, voice recognition, and multimodalinteraction continue to evolve, human–vehicle interaction is becoming increasinglynatural and intuitive. This enhanced interaction paradigm not only elevates the overall As the diversity of in cabin connectivity continues to expand, the vehicle is evolvingfrom a traditional mode of transportation into a third space connected with the user’sbroader digital ecosystem. By enabling seamless integration with smart home systems, Despite the explosion of use cases, the industry still lacks common standards or widelyadopted methods to classify the functional domains of intelligent cockpits. Disparatecategorization approaches across organizations have resulted in fragmented information In response, the China Society of Automotive Engineers, in collaboration with VolkswagenGroup (China), and with support from S&P Mobility, has developed the “FeaturesClassification Guidelines of Intelligent Cockpit” (hereafter, ‘the Guidelines’). Grounded The Guidelines establish a standardized taxonomy and explanatory framework forfunctions classification of automotive cockpit, supporting product development, datadriven decision making, and strategic planning. By building industry consensus around Supporting Entity China Society of Automotive Engineers:Weijie Gong, Xiaolong Li, Huamin Jin, Hao ChenVolkswagen Group (China):Lan Zhang, Wei WangChongqing University:Gang Guo, Wenbo LiTsinghua University:Dongpu Cao 1.Overview4 1.1Current Status41.2Significance8 2.Research Scope9 3.Classification Methods10 3.1Overview of Classification103.2Classification Principles12 4.Classification Structure 4.1Classification Framework13 4.2Classification Content154.2.1Safety Functions154.2.2Interaction174.2.3Components194.2.4Services204.2.5Connectivity234.2.6Artificial Intelligence (AI)244.2.7System (Digital Foundation)26 5.Software defined Vehicle Key Technology Analysis 27 5.1Core Concepts of Software defined Vehicle(SDV)28 5.2Key components of the Digital Foundation29 5.2.1Centralized E/E architecture5.2.2Network Architecture and Data Bandwidth5.2.3Vehicle Communication Protocols 5.3SDV Challenges and Outlook305.3.1Challenges305.3.2Prospects31 6.Cases Studies 33 6.1Over-the-air updates336.2Adoption vs Consumer Importance – Analytics Framework356.3Adoption vs Industry Evaluation – Cross Analysis366.4AI Applications in Intelligent Cockpit38 7.Summary40 1Overview 1.1Current Status The integration of emerging technologies with the automotive sector introducesprofounds challenges while unlocking transformative opportunities for the nextgeneration mobility. Advanced driver assistance systems (ADAS) are already Propelled by rapid gains in semiconductor compute, data centric software iteration,and increasingly sophisticated AI, in vehicle systems are delivering steadily greatercapability and user perceived value. The industry’s feature roadmap has shifted from According to a joint consumer insights study conducted by Volkswagen and the ChinaSociety of Automotive Engineers (C-SAE), A clear majority of respondents view therise of intelligent vehicles as a defining industry trend. The results show that Chineseconsumers hold especially high expectations for cockpit intelligence and its ability to According to S&P Mobility, connected vehicles represented 74% of global new vehiclesales in 2024; China outpaced the average at 77%. The 5G equipped connected carshare is forecast to increase from 11% in 2024 to 55% by 2030, advancing the globalmove to high bandwidth, low latency connectivity. China’s intelligent connected vehiclemarket leads internationally on adoption, functional scope, and ecosystem evolution.The market is also witnessing a shift toward continuous software upgrade capabilities Amid the industry megatrends of electrification, intelligence, and connectivity, theintelligent cockpit has emerged as the central touchpoint of the in-vehicle experienceand is advancing into a phase of accelerated transformation. Whether throughadvancements in hardware integration or proliferation of software driven features and The current trajectory of intelligent cockpit development is marked by several key Cockpit multi-screen integration and multimodal interaction The scope of intelligent cockpits has expanded far beyond traditional information display, evolving into acomprehensive digital experience platform that unifies navigation, media entertainment, climate control,and drive-related data. Large central displays and digital instrument clusters are increasingly becomingstandard configurati