Li Keqiang: Analysis of the Development Route of China's Intelligent Networking Automotive Technology

The topic that Mr. Li brought to us today is the analysis of the development route of China Intelligent Networked Automotive Technology. Mr. Li Keqiang is very familiar with everyone. He is the Distinguished Professor of Education Minister Jiang Scholar and the Director of the Intelligent Networking Vehicle Research Center of Tsinghua University. He also has many other social part-time jobs. His main research direction is in the smart car and intelligent transportation. He has won the National Technology Invention Award and more than 80 domestic and foreign invention patents twice. (This article comes from the live broadcast of the live broadcast of the Geshi Auto Network, thanks to the author, this article is only for sharing.)

Li Keqiang: I am very pleased to have the opportunity to make an exchange with you on the road map of China Intelligent Networked Automotive Technology Development. About a month ago, this technology roadmap was released in this local department. We know that intelligent networked cars belong to the field of cross-technology, so people in different fields may have different understandings of this roadmap. However, intelligent networked automotive technology itself is an objective reality. If we do not have a consensus, it will be affected by the promotion of its development. So today I am very happy to share my understanding of this roadmap here.

The technology roadmap belongs to the direction of energy-saving and new-energy vehicles in “Made in China 2025”, but it is not only applicable to energy-saving and new-energy vehicles, but also to conventional vehicles. The significance of formulating this roadmap lies in: on the one hand, it hopes to support the strategy of our intelligent networked automobile industry development and its technology development strategy. In addition, I hope to form a consensus on intelligent networked car technology, because sometimes the shallow concept can be understood, but a complete understanding of the technical concept is not easy. Our technical forum hopes to talk more about technology to promote a correct understanding of relevant new technologies.

Develop a technology roadmap, and also hope to implement the action plan and promote the national action plan for the development of intelligent networked vehicles or major project projects. I hope that I can seize the opportunity and work hard to solve the key technologies involved. And hope that such cross-cutting areas can gather resources from all walks of life, work collaboratively, and implement our technology under the top-level architecture. The development of such a road map is also based on the internationally advanced project promotion method.

The following describes the definition of the intelligent networked car under the technical roadmap. Today, we are all in the automotive industry, and it is easy to form a common understanding of intelligent networked cars. But if you go online to check the description of smart cars, many people are talking in the field they are familiar with, and often not comprehensive.

The intelligent networked car is not a new term. It is based on the intelligentization of our past, adding mobile internet technology to form such a large Cyber-Physic System. Called CPAS (Cyber-Physic AutomoTIve System) or CPTS (Cyber-Physic TransportaTIon System), they are all more comprehensive definitions, all of which are in our car. The function of the intelligent networked car is ultimately to meet the four basic needs of our car or car transportation system: safety, energy saving, efficiency and comfort.

The classification of intelligent networked vehicles is divided into five levels in terms of automatic grading and SAE, but the typical working conditions corresponding to different levels are different from those in China. In practice, you should pay more attention to the third-level CA (conditional automatic driving), which is also a question you want to discuss with you. CA includes both human-machine and intelligent decision-making problems, so it is important to research and develop the third-level automatic driving.

In addition, in the technical roadmap we define the level of the network, this should not be fully defined internationally. The network association is divided into three levels. The first level is our current network association auxiliary information interaction. It is only the information service and reminder of the TelemaTIcs class. There is no high requirement for timeliness and reliability. The second level is network collaboration and awareness. It is the current V2X technology. This is to make accurate information transmission and make decision and control services for vehicles. The third level is the network to make decision control of the network system. This kind of networking can support the decision of the public cloud platform or the decision of the local area network. At the same time, it can realize the decision and control based on the network connection. This shows that we have a correct understanding of the network. If we only talk about TelemaTIcs, it is now a network connection, but it is only a first-level network, and the second- and third-level network is able to provide information for car decision-making control. Interaction, and even finally through the network to control the car in real time, this is the network technology in a complete sense.

We can look at the intelligent networked car in two dimensions. Frankly speaking, the products promoted by foreign auto companies in China, except for the Telematics system, basically do not talk about the second- and third-level network associations. They are still promoting their autonomous ADAS products, because auto companies can only grasp autonomous autopilot technology, but the future development of technology must be a combination of automation and networking. Therefore, we can talk about intelligent networked cars that can be classified into these four categories: autonomous assisted driving, network-linked automatic driving, autonomous automatic driving, and network-linked automatic driving.

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