国际观察丨从慕尼黑车展看汽车产业技术转型三大趋势

Group 1: Core Trends in Automotive Industry - The Munich Auto Show highlights three major trends in the automotive industry's technological transformation: deepening electrification, software-defined digitalization, and AI-driven intelligence [1] Group 2: Electrification - Electrification is no longer an emerging trend but is developing more deeply in both technology and market aspects. Battery technology and alternative power systems are emphasized as core components for future vehicles [2] - Chinese companies showcased significant innovations, such as BYD's 1 MW charging platform, CATL's fire-free battery safety technology NP3.0, and EVE Energy's standardized large cylindrical batteries with digital identification [2] - Major German automakers like Mercedes-Benz, BMW, and Volkswagen presented new electric vehicle models, including the Mercedes-Benz GLC SUV with an 800V architecture and BMW's iX3 SUV featuring an intelligent battery management system [2] Group 3: Alternative Power Systems - Hydrogen energy and solid-state batteries emerged as important topics, with companies like Renault and Rimac showcasing hydrogen fuel cell range-extended concept cars and solid-state battery units [3] Group 4: Software-Defined Digitalization - Digitalization is a key driving force in the entire mobility ecosystem, with software-defined vehicles being a significant focus. ZF Group presented software-defined chassis and vehicle motion control software [4] - Bosch showcased high-performance onboard computers and flexible vehicle infrastructure to accelerate automotive digitalization [4] - Nvidia emphasized the shift from horsepower to computing power in vehicles, presenting a comprehensive safety system integrating vehicle architecture, AI models, and software [4] Group 5: AI-Driven Intelligence - The show indicated that automotive intelligence is advancing towards AI-driven and software-enabled stages, with Chinese companies becoming significant players in automotive intelligence [5] - XPeng Motors displayed a range of technologies, including smart electric vehicles and flying cars, while highlighting 2026 as a critical point for AI in automobiles [6] - Yuanrong Qihang presented its latest driving assistance platform, showcasing its VLA model's capabilities in adapting to various driving environments [6] - A dedicated testing area for L3 and L4 autonomous driving capabilities was established on the A94 highway to demonstrate vehicle-road collaboration in real-world scenarios [6]