“In 2040, we will usher in a high-level autopilot phase.†Not long ago, at the 2017 Annual Meeting of the New Energy Vehicle National Big Data Alliance and the “Car Linkage·Data Fusion†Forum, Yang Diange, Director of the Automotive Department of Tsinghua University Expressed his predictions for smart cars. As a professsional advance ceramic manufacturer, we provide ceramic wire and textile guides used in textile machinery with most cost effective process in prior to guarantee the quality. Textile Ceramic Component,High Purity Textile Ceramic Component,Spinning Ceramic Components,Textile Machinable Ceramic Component Jinghui Industry Ltd. , https://www.industrialcerams.com
Yang Diange said that smart cars will drive the transformation of the automotive industry into electric, intelligent and networked. This is not only a revolution in the automotive industry, but also a change in the way of travel. He believes that 2020 to 2025 is an important time point for the industrialization of smart cars.
"The EU's technological development route for smart cars takes 2020 as the point of time for smart cars from driving assistance to advanced automatic driving. Before 2020, first- and second-class smart cars, that is, equipped with various driving assistance functions. The proportion of cars in new cars will reach 50%, and those of third- and fourth-class smart cars will reach 80%. Full-automatic vehicles may account for 10%." Yang Diange said.
Yang Diange predicts that the auto-driving vehicles will enter people's lives in 2030, and the first industrialized auto-driving vehicles must be very professional vehicles.
For autonomous cars, the basis of operation is massive data support, and complex big data operations will become the "brains" of cars.
Su Yuli, Director of the Integrated Division of the Equipment Industry Department of the Ministry of Industry and Information Technology, said that automobile big data has played an important role in promoting the transformation and upgrading of the automobile industry and the transformation of automobile enterprises into services.
"We have now completed the integration of new energy vehicle tax preferential declaration system and fuel data management system. The next step will be to share data such as announcement data, fuel consumption data, vehicle monitoring, etc., and make full use of cloud computing, big data, etc. Advanced technology, tapping the diversified needs of users, innovating travel and service models, and promoting the coordinated development of industry, data and applications," said Su Yuli.
Sun Fengchun, executive director of the National Big Data Alliance of New Energy Vehicles, professor of Beijing Institute of Technology, and academician of the Chinese Academy of Engineering, said that smart new energy vehicles based on big data will be the strategic focus of China's auto industry transformation and upgrading and sustainable development. The field of automobile manufacturing also regards big data application mining as an important development direction.
“This year, we have built a multi-level data interaction platform for trams, vehicles, users, recycling, etc., and initially established a battery traceability platform. Currently, the information collected by the alliance mainly includes environmental and energy-consuming key components, as well as driving behavior. , battery and public domain location information, the next step we will further explore the driver, the surrounding environment and other information." Sun Fengchun said.
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