智能网联汽车技术发展与产业生态构建研究

Research on the Development of Intelligent Connected Vehicle Technology and the Construction of Industrial Ecosystem

  • 摘要: 为厘清智能网联汽车技术演进规律、破解产业生态发展瓶颈,本研究系统梳理智能网联汽车核心技术体系,剖析产业生态构成要素及协同逻辑。从技术维度,重点分析自动驾驶、车联网、智能座舱及底盘线控技术的发展阶段与突破方向;从生态维度,基于产业生态系统理论、创新系统理论及协同治理理论,构建“技术供给产业协同-政策保障”三维生态框架,揭示车企、科技企业、零部件供应商等主体的角色定位与互动机制。结合国内外典型案例,识别生态构建中的技术标准不统一、数据安全风险、跨主体协同不足等关键问题,运用博弈论、网络治理理论等分析工具阐释问题本质,提出“技术协同创新、标准体系共建、数据安全共治、政策精准赋能”的优化路径,并探讨实施过程中的潜在挑战与前提条件。研究表明,技术迭代与生态协同的深度耦合是产业高质量发展的核心驱动力,而这种耦合关系的形成依赖于多元主体基于理论逻辑的有序互动与机制设计,可为我国智能网联汽车产业生态升级提供理论支撑与实践参考。

     

    Abstract: To clarify the technological evolution laws of intelligent connected vehicles and break through the bottlenecks in the development of the industrial ecosystem, this study systematically sorts out the core technology system of intelligent connected vehicles and analyzes the constituent elements and collaborative logic of the industrial ecosystem. From a technical perspective, this paper focuses on analyzing the development stages and breakthrough directions of autonomous driving, Internet of Vehicles, intelligent cockpits, and chassis by-wire technologies. From an ecological perspective, based on the industrial ecosystem theory, innovation system theory and collaborative governance theory, a three-dimensional ecological framework of "technology supply - industrial collaboration - policy guarantee" is constructed to reveal the role positioning and interaction mechanisms of entities such as automakers, technology enterprises, and parts suppliers. Based on typical cases at home and abroad, key issues such as inconsistent technical standards, data security risks, and insufficient cross-subject collaboration in the construction of the ecosystem are identified. Game theory, network governance theory and other analytical tools are used to explain the essence of the problems. An optimization path of "collaborative technological innovation, co-construction of standard systems, co-governance of data security, and precise policy empowerment" is proposed, and the potential challenges and prerequisites for implementation are discussed. Research shows that the deep coupling of technological iteration and ecological synergy is the core driving force for the high-quality development of the industry, and the formation of this coupling relationship depends on the orderly interaction and mechanism design of multiple subjects based on theoretical logic, which can provide theoretical support and practical reference for the ecological upgrade of China's intelligent connected vehicles.

     

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