Shulou(Shulou.com)11/24 Report--

The rapid development of new technologies such as 5G, big data, cloud computing, Internet of things and AI is reconstructing the pattern of the automobile industry, and the development of automobile intelligence has become an inevitable trend. As the main direction of automobile intelligent transformation, intelligent network connection has become one of the fastest growing emerging industries in China with the continuous expansion of scale and the gradual maturity of the industrial chain in recent years.

On September 11, Guo Shougang, deputy director of the equipment Industry Department of the Ministry of Industry and Information Technology, revealed at a news conference of the 2023 World Intelligent Network Union Automobile Congress that in the first half of this year, the market penetration of intelligent Internet-connected passenger cars equipped with auxiliary self-driving systems in China has further increased, reaching 42.4 percent. The intelligent network has been opened throughout the country to test more than 15000 kilometers of roads, with a total mileage of more than 70 million kilometers.

From the perspective of this press conference, it is not difficult to find that the development of intelligent Internet-connected vehicles is accelerating, and the intelligent transformation of the automobile industry is accelerating, which provides a huge opportunity and development space for vehicle computing technologies and solutions such as vehicle-road coordination and vehicle networking solutions.

As the practitioner and enabler of the intelligent transformation of enterprises, Lenovo Group focuses on the automobile industry, fully releases the new IT value of the "end-edge-cloud-network-intelligence" technical framework, provides "Puhui" computing products and services to customers with various computing needs, including the field of car computing, and enables the automotive industry to accelerate intelligent and networked changes.

Computing power is the key to the rapid development of intelligent network-connected cars.

At present, the automobile industry presents the characteristics of electric, networked, intelligent and shared "new four modernizations", which promotes the gradual evolution of the automobile to the new terminal of intelligent network connection. It is understood that with the help of artificial intelligence, big data, 5G and other technologies, intelligent network-connected cars are equipped with advanced sensors, controllers, and actuators to realize the omni-directional links between cars, cars and cars, cars and roads, cars and people, and vehicles and service platforms. Guo Shougang said that Intelligent Networked vehicles, which combines a variety of innovative technologies such as the Internet of things, cloud computing, big data and artificial intelligence, is a new competitive focus for the development of emerging industries around the world.

Under the background of the gradual maturity of the above innovative technologies, the intelligent and networked process of China's automobile industry is accelerating, which will lead to the rapid growth of the industry scale. According to Sadie consultants, the size of the intelligent Internet connection auto industry is expected to grow from 165.6 billion yuan in 2019 to 1.31204 trillion yuan in 2024, with a compound annual growth rate of more than 50 per cent.

Up to now, the intelligent network connection automobile related industry has made remarkable progress at all levels. In addition to improving the penetration rate of auxiliary self-driving, intelligent networked vehicles have also made good achievements in technology and application. According to Guo Shougang, in terms of key technologies, a new generation of electronic and electrical architecture, vehicle operating system, and big computing chips have realized loading applications, cross-domain integration and controller technology have achieved breakthroughs, and a number of new models with enhanced combined driving assistance functions have been released one after another. In the demonstration application, multi-scene demonstration applications such as self-driving taxi, unmanned bus, autonomous valet parking, trunk line logistics and unmanned distribution are carried out in an orderly manner.

What needs to be paid attention to is that the development of intelligent network-connected vehicles is still evolving, and it is very important to continue to promote technological innovation. Guo Shougang also pointed out that the development of intelligent network connection vehicles should support continuous technological innovation and breakthroughs, make up for the underlying technological shortcomings such as vehicle chips, tool software, and new electronic and electrical architecture, and further improve the network connection infrastructure. At the same time, it is necessary to speed up the construction of infrastructure such as C-V2X, roadside awareness and edge computing, establish a cloud control infrastructure platform based on edge cloud, regional cloud and central cloud architecture, form a unified interface, data and communication standard, and further enhance network awareness and cloud computing capabilities.

It is not difficult to see that computing power plays a key role in intelligent network-connected automobile technology, and it is one of the important drivers for intelligent network-connected automobile to achieve technological breakthrough. For example, the electronic and electrical architecture, as the nervous system and brain of the automobile, is the key to realize the information exchange and complex operation of the automobile. According to the research of Sadie consultants, the current electronic and electrical architecture is facing problems such as sharp increase in R & D and production costs, reduced security, over-complex wiring harness layout, lack of computing power, and so on. The electronic and electrical architecture will develop towards a centralized electronic and electrical architecture based on a centralized domain architecture and a central computer.

In addition, with the continuous progress of self-driving technology, the acceleration of mass production of L3 self-driving cars will promote the increasing demand for computing power. According to the "Puhui Computing era" jointly released by KPMG and Lenovo, the demand for computing power will break out in stages with the improvement of the level of self-driving. The starting points of the computing power of L2, L3, L4 and L5 are 2TOPS (1TOPS represents the processor can perform a trillion operations per second), 24TOPS, 320TOPS and 4000TOPS, respectively.

In the face of the demand for vigorous computing power in the intelligent network connection automobile industry, the development of vehicle computing is imperative. McKinsey research points out that efficient on-board computing platform has become the core component of supporting intelligent vehicles, and on-board intelligent computing platform and software and hardware development capabilities will become the most important capability factors in the future self-driving value chain.

Calculate the power base with "Puhui" and load it into the car.

With the importance of in-vehicle computing platform highlighted, it has become a consensus to promote the rapid development of in-vehicle intelligent computing platform. The press conference announced that the 2023 World Intelligent Computing Automotive Conference will be held from September 20 to 24, when the "in-vehicle Intelligent Computing Infrastructure reference Architecture 2.0" will be released to provide further support for the long-term development of the in-vehicle intelligent computing platform.

Under the background of the development of automobile intelligent network, the automobile industry has become a multi-party ecosystem, including vehicle factories, Internet companies, ICT enterprises and the government. Lenovo Group, as the world's leading ICT manufacturer, based on its universal and intelligent "Puhui" computing infrastructure products, grasped the development trend of the automotive industry, entered the "car computing track", and set up a special car computing laboratory to focus on the R & D and application of core technologies related to intelligent cockpit, self-driving and central computing platform.

At present, Lenovo Group has a relatively complete layout in the field of automotive computing, such as a training and reasoning platform for machine learning; an advanced EDA design platform for enterprises of vehicle gauge-level computing chips and domain controllers; a multi-channel fat node computing platform for electromagnetic analysis for laser and millimeter wave radar sensor enterprises; and a complete mixed computing power and multi-cloud management scheme for intelligent cockpit enterprises.

In terms of specific product landing, Lenovo Group, through its Lianbao Technology, released the first ultra-high computing power AMR autonomous driving domain controller product EA-R600, which is Lenovo Group's first Edge AI series products suitable for autonomous driving and autonomous driving in the field of intelligent transportation. In addition, Lianbao Technology's first smart display, the flexible curved 17.3in OLED central control display, and the car gauge 15.6in central control display for the mass market have also been developed.

In May this year, Lenovo also partnered with partners to demonstrate car computing concept machines based on the new generation of NVIDIA DRIVE Thor system-on-chip (SoC), including domain controller prototypes and concept machines for intelligent cockpit, intelligent driving and cabin driving.

In the aspect of commercial application, the vehicle computing technology of Lenovo Group has achieved specific application. For example, in the cooperation with Kuwa Robot, a cutting-edge enterprise in the field of intelligent driving, Lenovo Group uses domain controller products based on vehicle computing technology to help renovate the unmanned sanitation vehicle products of Kuwa Robot, thus enabling intelligent sanitation applications.

At present, under the promotion of policy, technology, market demand and other factors, the intelligent network automobile industry is showing a trend of vigorous development, and the related industrial chain is also expected to usher in a period of development opportunities. While Lenovo Group will take advantage of the potential intelligent network to develop cars through anchored car calculation, it will help the automobile industry to promote intelligent transformation while creating new growth points.

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