产业协同提速，中国智能汽车迈向“认知驱动”新时代

Group 1: Core Insights - The "2025 New Energy Smart Vehicle New Quality Development Forum" was successfully held in Changchun, focusing on the theme of "New Quality Leading, Intelligent Creation of the Future" and discussing the technological evolution, ecological reconstruction, and future trends of new energy smart vehicles [2] - The forum highlighted the rapid development of new energy vehicles and the deep restructuring of the global automotive landscape, emphasizing the need for open cooperation and collaborative innovation to secure future success [4] - Key tasks identified include accelerating the popularization of assisted driving from 2025 to 2030 and setting ambitious goals for L3 and higher-level autonomous driving technology [4][10] Group 2: Technological Innovations - Experts discussed the dual paths of safety technology in smart vehicles: rule-driven and data-driven approaches, with a proposed "cognitive-driven" route to overcome key technological bottlenecks [6] - The shift towards higher voltage charging systems (1000V to 1500V) and the adoption of wide bandgap power devices like silicon carbide were noted as trends in electric drive systems [8] - The automotive industry's competitive focus is shifting towards smart and AI capabilities, with mechanical costs expected to drop from 70% to below 30% while electronic and software costs rise to 70% [10] Group 3: Industry Practices and Strategies - Automotive companies are urged to innovate technologically, manage relationships as partnerships, and build long-term brand trust to transition from low-level competition to high-quality development [14] - The collaboration between Jianghuai Automobile and Huawei exemplifies deep integration across the entire value chain, aiming for breakthroughs in the ultra-luxury smart new energy sector [16] - The evolution of AI in automotive applications is leading to a transition from traditional software-defined vehicles to "AI-defined vehicles," presenting challenges in hardware and software compatibility [18] Group 4: Supply Chain and Ecosystem Collaboration - AI's impact on the automotive industry is seen as an incremental enhancement rather than a replacement, with the software supply chain maturing to meet rapid iteration demands [22] - The importance of software in defining vehicles is highlighted, with trends in electric vehicles, smart driving, and personalized features becoming increasingly significant [24] - The interaction between vehicles and the grid is viewed as a means to alleviate pressure from large-scale electric vehicle adoption and support the transition to a low-carbon energy structure [30] Group 5: Future Directions - The forum showcased the collaborative trends in smart vehicle development across four dimensions: intelligence, localization, software integration, and ecological fusion, indicating a vibrant and innovative landscape in China's new energy smart vehicle industry [34] - The integration of heterogeneous information fusion technologies is expected to enhance the safety performance of smart driving systems, making advanced technology more accessible to a broader market [34]