NIE 2023 | Zhongke Moton Liu Xiang: Development Trends and Prospects of Intelligent Equipment for New Energy Vehicles

Liu Xiang pointed out that intelligent equipment is the backbone of the intelligent manufacturing industry. Intelligent manufacturing equipment determines the level of intelligent manufacturing and is the core force driving the development of intelligent manufacturing in China, as well as the key engine for promoting industrial transformation and upgrading. Currently, the market demand for the intelligent equipment industry is strong, with the industry scale continuously growing from 1.27 trillion yuan in 2017 to 2.68 trillion yuan in 2022.

The development of the intelligent equipment industry exhibits phased characteristics. In terms of overall features, the intelligent manufacturing equipment industry is partially mature, with significant room for development:

• "Industry 2.0" has basically completed the transition to "Industry 3.0," but there is still a significant gap with "Industry 4.0." The market satisfaction rate of intelligent manufacturing equipment in China exceeds 50%, and there are more than 40 system solution providers with main business revenue exceeding 1 billion yuan.
• It has been widely applied in workshop operation informatization, real-time equipment data collection, flexible production, refined production management, visual process inspection, and other aspects.

• The maturity of intelligent manufacturing in Chinese enterprises mainly focuses on levels 1 to 3, with fewer enterprises achieving level 4 to 5.

In terms of industry technical characteristics, the intelligent equipment industry features non-standard customization, flexibility, and intelligence:

• Non-standard customization

The development of intelligent automation equipment and industrial manufacturing data systems often involves non-standardized operations. According to the production process requirements of downstream customers, various instruments, sensors, controllers, industrial robot bodies, and peripheral supporting equipment are assembled and connected in a reasonable and efficient manner. It is a systematic arrangement that highly unifies various process modules such as support units, friction lubrication, high-performance motors, high-speed precision bearings, and digital design.

• flexibility

Consumer-oriented, production determined by demand; product characteristics include multiple varieties, small batches, and 'variable variables'; intelligent manufacturing systems should not only have the ability to adapt to external environmental changes but also internal changes.

• Intelligent

Intelligence encompasses five capabilities: environmental perception, logical reasoning, strategy planning, action, and learning (evolution). It emphasizes the automation of production through intelligent automation equipment and communication technology. Through intelligent control systems such as industrial manufacturing data systems, data collection (sensors, RFID, machine vision, etc.) is achieved, communication interconnection (industrial Ethernet, etc.) is realized, analysis and decision-making (industrial data software, artificial intelligence algorithms, intelligent information feedback) are carried out, thereby providing optimized production plans.Collaborative Manufacturing.

With the implementation of national intelligent manufacturing pilot demonstration projects, the intelligent upgrading of equipment has accelerated, gradually forming an innovative atmosphere and industrial clusters for intelligent manufacturing equipment. The industry's growth is promising in the future and shows the following development trends:

With the continuous improvement of intelligent manufacturing maturity, intelligent manufacturing production units (equipment and products) will develop towards smart factories; smart factories integrate emerging technologies such as intelligent means and systems to build efficient, energy-saving, green, environmentally friendly, and comfortable humanized factories.

The intelligent manufacturing level in industries such as computers, automobiles, and 3C electronics is relatively high. Many manufacturing sectors still rely on manual labor or low-end technology.semi-automatic equipmentProduction is carried out; with the continuous improvement of intelligent manufacturing technology levels, its applicable industry scope has become broader, enabling it to provide intelligent manufacturing services for more industries.

The development trend of industrial manufacturing is to improve production efficiency, enhance product quality, and provide customized services. Intelligent manufacturing is the driving force behind the development of industrial manufacturing and will inevitably develop towards high precision, high stability, and flexibility, with technical indicators continuously improving. Achieving an improvement in technical indicators depends on the research and development of key equipment and technologies.

New technologies such as the Internet of Things (IoT), cloud computing, artificial intelligence (AI), and 3D printing will continue to be deeply integrated and upgraded with manufacturing, improving the level of intelligent manufacturing; sensor technology,RFID tagEmbedded system technology and other core IoT technologies are used to create "transparent production, digital workshops, and intelligent factories" for customers. New-generation information technologies such as AI are applied throughout the entire life cycle of production and manufacturing to improve efficiency in all manufacturing processes through autonomous deep perception, autonomous optimization decision-making, and autonomous precise execution.

In terms of the intelligent equipment industry for new energy vehicles, key sub-sectors include lithium battery equipment such as lithium batteries, lithium-ion battery replenishment/sodium-ion battery equipment/square laminated devices, motor equipment such as motors and flat wire motors, motor equipment suppliers, electric drive,EPSSystem and thermal management, etc.