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起底汽车检测商业链条:75%毛利背后的隐秘规则
Di Yi Cai Jing· 2025-08-04 08:35
Core Viewpoint - The incident involving the Ideal i8 vehicle colliding with a truck has raised significant public concern regarding the integrity and scientific validity of automotive testing conducted by third-party institutions like China Automotive Research (CARS) [1][8] Group 1: Incident and Response - The collision test video showing the Ideal i8 causing a truck to "fly" has sparked widespread debate about the realism and physics of such outcomes [1] - Both CARS and Ideal Automotive issued statements clarifying that the test was designed based on common traffic accident scenarios [1] Group 2: Testing Procedures - The collision tests are typically customized projects where the manufacturer specifies the testing requirements, leading to a lack of standardized procedures [2][4] - Preparations for these tests involve multiple steps, including site selection and equipment setup, requiring collaboration between the manufacturer and the testing agency [2][3] Group 3: Market Dynamics - CARS has developed commercial testing projects like SUPER CRASH, which are utilized by various automotive manufacturers to validate safety features [5][6] - The pricing for these tests varies significantly based on complexity, with costs ranging from hundreds of thousands to millions of yuan [6] Group 4: Credibility Challenges - The intertwining of commercial interests and testing integrity poses challenges to the credibility of third-party testing agencies, as they must balance business sustainability with impartiality [7][8] - The recent Ideal i8 incident has highlighted the potential for misleading results that could distort public perception of vehicle safety [8] Group 5: Industry Trends - The automotive testing industry is expanding, particularly in the realm of intelligent driving assessments, driven by regulatory changes and market demand [9][10] - There is a growing need for a comprehensive and scientifically valid evaluation system for intelligent driving technologies, as current methods may not adequately reflect real-world performance [10]