中国汽车工程学会汽车大数据应用分会官宣成立
Zhong Guo Qi Che Bao Wang·2025-05-30 06:06

Core Insights - The "2025 Automotive Big Data Application Industry Conference" was held in Beijing, focusing on the transformative role of big data in the automotive industry [1][3] - The establishment of the Automotive Big Data Application Branch of the China Society of Automotive Engineering aims to drive innovation and collaboration across various sectors [3][4] - The conference highlighted the importance of data-driven approaches in enhancing the green and intelligent development of the automotive industry [4][5] Group 1: Conference Overview - The conference gathered over 300 representatives from government, automotive manufacturers, suppliers, research institutions, and media to discuss future opportunities in the automotive sector [1] - The theme of the conference was "Digital Intelligence Drives a New Chapter," emphasizing the significance of big data in the industry's evolution [1] Group 2: Key Developments - The Automotive Big Data Application Branch was officially established, with Sun Fengchun elected as the director, focusing on key technology breakthroughs and standard system construction [3][4] - The branch aims to promote the establishment of a standard system and the application of automotive big data technology [3] Group 3: Reports and Competitions - The conference launched the "Automotive Big Data Technology Development Report" and the "China New Energy Vehicle Big Data Research Report (2025)," which will guide the industry's development over the next 5-10 years [4] - The 2025 China Digital Automotive Competition was announced, which has been running for seven years and aims to cultivate talent in the field of new energy vehicle big data [4] Group 4: Industry Challenges and Opportunities - Industry experts discussed challenges such as data interoperability, data quality control, and security issues, emphasizing the need for collaboration to overcome these hurdles [5][8] - The integration of transportation and energy systems is seen as a crucial path for green and low-carbon transformation [5][8]