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“理想星环OS”作为北京重大开源成果亮相2025中关村论坛年会

Core Insights - The 2025 Zhongguancun Forum Annual Conference opened in Beijing, focusing on "New Quality Productivity and Global Technological Cooperation," with 10 major technological achievements announced, including the "Ideal Star Ring OS," an open-source automotive operating system developed by Li Auto [1] Group 1: Development of Ideal Star Ring OS - Li Auto transitioned from the closed-source AUTOSAR operating system to its self-developed "Ideal Star Ring OS" due to challenges in adapting to MCU chip shortages, which previously took over six months and resulted in losses exceeding 10 billion yuan [3][4] - The development of "Ideal Star Ring OS" began in 2021, involving a dedicated team of 200 and over 1 billion yuan in R&D investment, with the system expected to be implemented in vehicles by 2024 [3][4] Group 2: Performance and Safety Enhancements - "Ideal Star Ring OS" surpasses the closed-source AUTOSAR in key performance indicators such as core performance, safety, cost efficiency, adaptability, and flexibility, achieved through innovative cross-system architecture design [4] - The system significantly improves safety features, reducing the stopping distance of AEB at 120 km/h by 7 meters and enhancing the response rate of the air suspension system by 73% [6] Group 3: Cost Efficiency and Resource Management - The operating system reduces costs by enabling AI computing power and hardware resource sharing, leading to an 80% reduction in virtualization performance loss and a 90% decrease in sensor access latency [7] - "Ideal Star Ring OS" is projected to save the company billions in material costs annually, ultimately benefiting consumers with lower vehicle prices and improved configurations [7] Group 4: Future Implications for the Automotive Industry - The automotive industry is approaching an AGI era, where an efficient operating system will be central to managing vehicle resources and transitioning to higher levels of intelligence [7][8] - The system addresses the increasing demands for computing power and memory bandwidth required for advanced driving technologies, laying a solid foundation for Li Auto's future autonomous driving capabilities [8]