2019（第四届）汽车Benchmark分析及性能开发技术研讨会

　　The 4th Forum on Automotive Benchmark Analysis and Performance Development Technology

　　暨第二届汽车研发大数据应用高峰论坛

　　The 2nd Big Data Application Forum on Automotive Research and Development

　　2019年11月7日-8日

　　November 7th -8th, 2019

　　一、会议背景/Background

　　随着新能源汽车、自动驾驶等技术的快速发展，汽车产品研发正步入技术革新和产品加速迭代的新阶段。如何合理的定义汽车产品的性能目标、配置策略，设计开发畅销的汽车产品，成为汽车企业快速占领汽车市场的迫切需要解决。因此，以Benchmark产品信息数据为代表的汽车大数据已成为主机厂新产品开发过程中必不可少的数据支撑，汽车大数据技术可以帮助车企总结过去经验，预判在新车研发未来周期的市场需求走势，提升车企整体运营效率。基于benchmark和行业大数据的产品市场对标（配置、价格）和技术对标（汽车性能参数、结构、轻量化水平、平台化及模块化设计、用材与工艺和供应链体系等）受到越来越高的重视。

　　With the rapid development of new energy vehicles, automatic driving and others, automotive product development is entering a new phase of technological innovation and product acceleration iteration. How to define the performance goals and configuration strategies of automotive products, design and develop the best-selling automotive products, and become an urgent need for auto companies to quickly occupy the automotive market. Therefore, automotive big data represented by Benchmark product information data has become an indispensable data support for the new product development process of the OEM. Automotive big data technology can help OEM to summarize past experience and predict the market in the future cycle of new car development. The trend of demand will improve the overall operational efficiency of the car companies. People are paying more and more attention to product market benchmarking（configuration, price） and technology benchmarking（such as Automotive performance parameters, structure, lightweight level, platform and modular design, materials and processes, supply chain systems etc.） based on benchmark and industry big data.