How far is the power battery digital factory?

On the one hand, the rapid development of new energy vehicles and the accelerated reshuffle of the industry; on the other hand, the manufacturing of power lithium-ion batteries is developing in the direction of high quality, high efficiency, informatization and visualization. In this industry background, digital intelligence has become an important tool for companies related to power lithium-ion batteries to enhance their competitiveness. At the same time, with the continuous advancement of intelligent manufacturing development, the process of power lithium-ion battery digital factory is one of the most concerned propositions of the lithium battery industry. At the 2019 High-tech Lithium Battery u0026 Electric Vehicle Annual Conference, Oiyama Kiyokazu, Senior Vice President of Tianpeng Power, Dr. Du Yixian, Dean of Liyuanheng Research Institute, Long Guobin, Manager of Leiyu Technology Ru0026D and Manufacturing Center, and Dr. Zhang Jing, Manager of Apache Application Department , Liu Hao, Director of Han's Laser, He Zhenzhen, Technical Director of Opto, Wang Fangming, Founder of Zhongheng Intelligent, Dr. Shi Xianxing, Senior Product Management Manager of Wanxiang 123, and other guests discussed the 'Process of Power Lithium-ion Battery Digital Factory' comminicate. The first is the understanding of the digital factory process. Oiyama Kiyokazu, senior vice president of Tianpeng Power, said that its speed depends on the quality requirements of lithium-ion batteries. Because the safety of lithium-ion batteries is greatly affected by moisture and metal impurities. Only when the safety problem is solved and the risk of battery fire can be fully controlled and prevented, the process of the digital factory will be faster. Dr. Shi Xianxing, Senior Product Management Manager of Wanxiang One Two Three, believes that the premise of the digital factory process is to reduce costs. Due to the chemical system, electricity and physics involved in the manufacture of power lithium-ion batteries, digital cost reduction will not be achieved in one step. He said that in order to accelerate the process of the digital factory, the automatic rate of the equipment must first be accelerated to at least 99%. From the current point of view, there is still a certain gap. In addition, Wanxiang has been deeply involved in the manufacturing industry. The understanding of the digital factory process is to first fully automate, and then pursue digitalization, instead of directly digitizing the factory. The second is the exploration of the digital factory process. Dr. Du Yixian, Dean of Liyuanheng Research Institute, said that it may take about three years for the digital factory to be perfected. There are two key issues. The first is the type of data collected, how much is enough? The second is how deep should the data be collected? To solve this problem, the preset digital model must be sufficient, the digital simulation results must be highly realistic, and some performance parameters like batteries must be able to be collected. In the exploration of the digital factory process, Li Yuanheng understands that all production-related information is presented digitally to ensure that there is no interruption and realize the visualization and predictability of management. In terms of specific implementation, Lyrics divides it into five levels from Ru0026D to application, including execution level, control level, data level, workshop level and company level, and uses digital twin technology to build a visualization platform. Regarding the data collection of the digitization process, Liu Hao, director of Han's Laser, added that it depends on the customer's sensitivity to the cost of digitization. In this regard, Han's Laser has been able to upload all the data detected during laser welding and cutting, and can trace the source for real-time analysis and optimization. In addition, Han's Laser also uses digital twin debugging technology, which can directly interact with hardware through a software platform. In this way, debugging can be carried out in multiple processes, the cycle is shortened, and the delivery speed is faster. Long Guobin, manager of Leiyu Technology Ru0026D and Manufacturing Center, supplemented the battery drying process. He said that now for hard-shell or soft-pack batteries, in terms of digitalization, the temperature of the fixture can be measured, but the internal temperature of the battery cannot be detected. Regarding the moisture content, it can be tested with an online water content instrument before and after drying. However, the higher the accuracy of the data, the higher the cost. Finally, the data detection and uploading of the digital factory process. In terms of data detection and uploading, He Zhenzhen, technical director of Optotech, said that vision is essentially equivalent to a sensor, which converts the detected product information and data, and then uploads it to the database of the digital factory through MES. APT is completely open to customers in this respect, and even changes in formulas, changes in parameters, and quality inspection data will be released. By fully cooperating with customers, we will build the information flow of the digital factory together. Dr. Zhang Jing, manager of the Apache application department, believes that in the data management of the digital factory process, the Apache laser system can monitor power and other parameters in real time, and can achieve fine management. On the one hand, it can ensure the precise results of laser welding and other work. On the other hand, the information can be de-fake and preserved. Under the data system of the digital factory, it can realize real-time improvement of its own process in a closed loop. In terms of data alarms for safety and fire prevention in digital factories, Fangming Wang, founder of Zhongheng Intelligent, said that the self-developed infrared temperature measurement equipment can accurately detect the battery temperature at the stage of capacity division/formation and upload the system to the system for real-time analysis and early warning. On the one hand, it can ensure that the digital factory has enough time to remove dangerous batteries and put them in a safe location. On the other hand, feedback in advance provides a basis for decision-making in the battery digital plant and reduces the cost of sudden risks.