On the one hand, the rapid development of new energy vehicles and the accelerated reshuffle of the industry, on the other hand, power battery manufacturing is developing in the direction of high quality, high efficiency, information and visualization.

 

In this industry background, digital intelligence has become an important weapon for power battery related enterprises to enhance their competitiveness. At the same time, with the development of intelligent manufacturing, the process of power battery digital factory is one of the most concerned propositions of the lithium battery industry.

 

At the just-concluded 2019 High-level Lithium-Electric Vehicle Annual Meeting,Kiyokazu Oiyama, Senior Vice President of Tianpeng Power Supply; Dr. Du Yixian, President of Liyuanheng Research Institute; Long Guobin, Manager of Radium Yu Technology R & D and Manufacturing Center; Dr. Zhang Jing, Manager of Apache Application Department; Liu Hao, Director of Dazu Laser; He Zhenzhen, Director of Opute Technology; Wang Fangming, Founder of Zhongheng Intelligence; and Dr. Shi Xianxing, Senior Product Management Manager of Wanxiang 123Such as guests, on the "power battery digital factory process" launched an exchange.

 

The first is the understanding of the process of digital factory.

 

Tianpeng Power Senior Vice President Oiyama KiyokazuIt is said that its speed depends on the quality requirements of lithium batteries. Because the safety of lithium batteries is greatly affected by moisture and metal impurities. Only when the safety problem is solved and the risk caused by battery fire can be fully controlled and prevented, the digital factory process will be faster.

 

Dr. Shi Xianxing, Senior Product Management Manager, Wanxiang 123It is believed 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 batteries are very complex, and digital cost reduction will not be achieved in one step.

 

He said that in order to accelerate the process of digital factory, we must first accelerate the automatic rate of equipment, at least to more than 99%. At present, 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 fully automate before pursuing digitalization, rather than directly digitizing the factory.

 

The second is the exploration of the process in the digital factory.

 

Dr. Yixian To, President of Lee Yuan Heng Research InstituteHe said that it may take about three years for the digital factory to be perfected. There are two key problems with this. The first is the type of data collected, how much is enough? The second is how deep is the level of data collected? To solve the problem, the preset digital model must be sufficient, the digital simulation results must be highly realistic, and some performance parameters like batteries must be collected.

 

In the process exploration of digital factory, Li Yuanheng's understanding is to present all production-related information digitally to ensure no interruption and realize visualization and predictability of management. In terms of implementation, Li Yuanheng divides it into five levels from research and development to application, including execution layer, control layer, data layer, workshop layer and enterprise layer, and uses digital twin technology to build a visualization platform.

 

data collection on the digitization process,Han's Laser Director Liu HaoTo add, this depends mainly on the customer's sensitivity to the cost of digitization. In this regard, the big family laser has been able to upload all the data detected during laser welding and cutting, and can also trace the source for real-time analysis and optimization.

 

In addition, the big family laser also uses digital twin debugging technology, which can directly interact with the hardware through the 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 Radium Science and Technology R & D and Manufacturing CenterIt is supplemented from the battery drying process. He said that the temperature of the fixture can be measured digitally for hard-shell or soft-pack batteries, but the internal temperature of the battery core cannot be detected. Regarding the moisture content, it can be tested with an online water content instrument before and after drying. But the more accurate the data, the higher the cost.

 

Finally, the process of digital factory data detection upload.

 

In terms of data detection upload,He Zhenzhen, Technical Director of OputeIt is said that vision is essentially equivalent to a sensor, which converts the detected product information, data, etc., and then uploads it to the database of the digital factory through MES.

 

Opt is completely open to customers in this respect, even the formula changes, parameter changes, quality inspection data will be released. Through full cooperation with customers, together to build a good digital factory information flow.

 

Dr. Jing Zhang, Manager, Apache Applications DepartmentIt is believed that in the data management of digital factory process, 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 accurate results of laser welding and other work, on the other hand, it can remove the false information and save the true information, and under the data system of the digital factory, it can realize the real-time improvement of its own process in a closed loop.

 

In terms of data alarms such as safety and fire prevention in digital factories,Wang Fangming, founder of Zhongheng IntelligenceHe said that the independently developed infrared temperature measuring equipment can accurately detect the battery temperature in the sub-capacity/formation process stage and upload it 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 the dangerous battery and put it in a safe place. On the other hand, early feedback, for the battery digital factory to provide a basis for decision-making, reduce the cost of sudden risk.

Abstract

With the development of intelligent manufacturing, the process of power battery digital factory is one of the most concerned propositions of the lithium battery industry.

 

On the one hand, the rapid development of new energy vehicles and the accelerated reshuffle of the industry, on the other hand, power battery manufacturing is developing in the direction of high quality, high efficiency, information and visualization.

 

In this industry background, digital intelligence has become an important weapon for power battery related enterprises to enhance their competitiveness. At the same time, with the development of intelligent manufacturing, the process of power battery digital factory is one of the most concerned propositions of the lithium battery industry.

 

At the just-concluded 2019 High-level Lithium-Electric Vehicle Annual Meeting,Kiyokazu Oiyama, Senior Vice President of Tianpeng Power Supply; Dr. Du Yixian, President of Liyuanheng Research Institute; Long Guobin, Manager of Radium Yu Technology R & D and Manufacturing Center; Dr. Zhang Jing, Manager of Apache Application Department; Liu Hao, Director of Dazu Laser; He Zhenzhen, Director of Opute Technology; Wang Fangming, Founder of Zhongheng Intelligence; and Dr. Shi Xianxing, Senior Product Management Manager of Wanxiang 123Such as guests, on the "power battery digital factory process" launched an exchange.

 

 

The first is the understanding of the process of digital factory.

 

Tianpeng Power Senior Vice President Oiyama KiyokazuIt is said that its speed depends on the quality requirements of lithium batteries. Because the safety of lithium batteries is greatly affected by moisture and metal impurities. Only when the safety problem is solved and the risk caused by battery fire can be fully controlled and prevented, the digital factory process will be faster.

 

Dr. Shi Xianxing, Senior Product Management Manager, Wanxiang 123It is believed 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 batteries are very complex, and digital cost reduction will not be achieved in one step.

 

He said that in order to accelerate the process of digital factory, we must first accelerate the automatic rate of equipment, at least to more than 99%. At present, 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 fully automate before pursuing digitalization, rather than directly digitizing the factory.

 

The second is the exploration of the process in the digital factory.

 

Dr. Yixian To, President of Lee Yuan Heng Research InstituteHe said that it may take about three years for the digital factory to be perfected. There are two key problems with this. The first is the type of data collected, how much is enough? The second is how deep is the level of data collected? To solve the problem, the preset digital model must be sufficient, the digital simulation results must be highly realistic, and some performance parameters like batteries must be collected.

 

In the process exploration of digital factory, Li Yuanheng's understanding is to present all production-related information digitally to ensure no interruption and realize visualization and predictability of management. In terms of implementation, Li Yuanheng divides it into five levels from research and development to application, including execution layer, control layer, data layer, workshop layer and enterprise layer, and uses digital twin technology to build a visualization platform.

 

data collection on the digitization process,Han's Laser Director Liu HaoTo add, this depends mainly on the customer's sensitivity to the cost of digitization. In this regard, the big family laser has been able to upload all the data detected during laser welding and cutting, and can also trace the source for real-time analysis and optimization.

 

In addition, the big family laser also uses digital twin debugging technology, which can directly interact with the hardware through the 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 Radium Science and Technology R & D and Manufacturing CenterIt is supplemented from the battery drying process. He said that the temperature of the fixture can be measured digitally for hard-shell or soft-pack batteries, but the internal temperature of the battery core cannot be detected. Regarding the moisture content, it can be tested with an online water content instrument before and after drying. But the more accurate the data, the higher the cost.

 

Finally, the process of digital factory data detection upload.

 

In terms of data detection upload,He Zhenzhen, Technical Director of OputeIt is said that vision is essentially equivalent to a sensor, which converts the detected product information, data, etc., and then uploads it to the database of the digital factory through MES.

 

Opt is completely open to customers in this respect, even the formula changes, parameter changes, quality inspection data will be released. Through full cooperation with customers, together to build a good digital factory information flow.

 

Dr. Jing Zhang, Manager, Apache Applications DepartmentIt is believed that in the data management of digital factory process, 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 accurate results of laser welding and other work, on the other hand, it can remove the false information and save the true information, and under the data system of the digital factory, it can realize the real-time improvement of its own process in a closed loop.

 

In terms of data alarms such as safety and fire prevention in digital factories,Wang Fangming, founder of Zhongheng IntelligenceHe said that the independently developed infrared temperature measuring equipment can accurately detect the battery temperature in the sub-capacity/formation process stage and upload it 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 the dangerous battery and put it in a safe place. On the other hand, early feedback, for the battery digital factory to provide a basis for decision-making, reduce the cost of sudden risk.

Abstract

With the development of intelligent manufacturing, the process of power battery digital factory is one of the most concerned propositions of the lithium battery industry.

 

On the one hand, the rapid development of new energy vehicles and the accelerated reshuffle of the industry, on the other hand, power battery manufacturing is developing in the direction of high quality, high efficiency, information and visualization.

 

In this industry background, digital intelligence has become an important weapon for power battery related enterprises to enhance their competitiveness. At the same time, with the development of intelligent manufacturing, the process of power battery digital factory is one of the most concerned propositions of the lithium battery industry.

 

At the just-concluded 2019 High-level Lithium-Electric Vehicle Annual Meeting,Kiyokazu Oiyama, Senior Vice President of Tianpeng Power Supply; Dr. Du Yixian, President of Liyuanheng Research Institute; Long Guobin, Manager of Radium Yu Technology R & D and Manufacturing Center; Dr. Zhang Jing, Manager of Apache Application Department; Liu Hao, Director of Dazu Laser; He Zhenzhen, Director of Opute Technology; Wang Fangming, Founder of Zhongheng Intelligence; and Dr. Shi Xianxing, Senior Product Management Manager of Wanxiang 123Such as guests, on the "power battery digital factory process" launched an exchange.

 

 

The first is the understanding of the process of digital factory.

 

Tianpeng Power Senior Vice President Oiyama KiyokazuIt is said that its speed depends on the quality requirements of lithium batteries. Because the safety of lithium batteries is greatly affected by moisture and metal impurities. Only when the safety problem is solved and the risk caused by battery fire can be fully controlled and prevented, the digital factory process will be faster.

 

Dr. Shi Xianxing, Senior Product Management Manager, Wanxiang 123It is believed 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 batteries are very complex, and digital cost reduction will not be achieved in one step.

 

He said that in order to accelerate the process of digital factory, we must first accelerate the automatic rate of equipment, at least to more than 99%. At present, 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 fully automate before pursuing digitalization, rather than directly digitizing the factory.

 

The second is the exploration of the process in the digital factory.

 

Dr. Yixian To, President of Lee Yuan Heng Research InstituteHe said that it may take about three years for the digital factory to be perfected. There are two key problems with this. The first is the type of data collected, how much is enough? The second is how deep is the level of data collected? To solve the problem, the preset digital model must be sufficient, the digital simulation results must be highly realistic, and some performance parameters like batteries must be collected.

 

In the process exploration of digital factory, Li Yuanheng's understanding is to present all production-related information digitally to ensure no interruption and realize visualization and predictability of management. In terms of implementation, Li Yuanheng divides it into five levels from research and development to application, including execution layer, control layer, data layer, workshop layer and enterprise layer, and uses digital twin technology to build a visualization platform.

 

data collection on the digitization process,Han's Laser Director Liu HaoTo add, this depends mainly on the customer's sensitivity to the cost of digitization. In this regard, the big family laser has been able to upload all the data detected during laser welding and cutting, and can also trace the source for real-time analysis and optimization.

 

In addition, the big family laser also uses digital twin debugging technology, which can directly interact with the hardware through the 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 Radium Science and Technology R & D and Manufacturing CenterIt is supplemented from the battery drying process. He said that the temperature of the fixture can be measured digitally for hard-shell or soft-pack batteries, but the internal temperature of the battery core cannot be detected. Regarding the moisture content, it can be tested with an online water content instrument before and after drying. But the more accurate the data, the higher the cost.

 

Finally, the process of digital factory data detection upload.

 

In terms of data detection upload,He Zhenzhen, Technical Director of OputeIt is said that vision is essentially equivalent to a sensor, which converts the detected product information, data, etc., and then uploads it to the database of the digital factory through MES.

 

Opt is completely open to customers in this respect, even the formula changes, parameter changes, quality inspection data will be released. Through full cooperation with customers, together to build a good digital factory information flow.

 

Dr. Jing Zhang, Manager, Apache Applications DepartmentIt is believed that in the data management of digital factory process, 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 accurate results of laser welding and other work, on the other hand, it can remove the false information and save the true information, and under the data system of the digital factory, it can realize the real-time improvement of its own process in a closed loop.

 

In terms of data alarms such as safety and fire prevention in digital factories,Wang Fangming, founder of Zhongheng IntelligenceHe said that the independently developed infrared temperature measuring equipment can accurately detect the battery temperature in the sub-capacity/formation process stage and upload it 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 the dangerous battery and put it in a safe place. On the other hand, early feedback, for the battery digital factory to provide a basis for decision-making, reduce the cost of sudden risk.

Abstract

With the development of intelligent manufacturing, the process of power battery digital factory is one of the most concerned propositions of the lithium battery industry.

 

On the one hand, the rapid development of new energy vehicles and the accelerated reshuffle of the industry, on the other hand, power battery manufacturing is developing in the direction of high quality, high efficiency, information and visualization.

 

In this industry background, digital intelligence has become an important weapon for power battery related enterprises to enhance their competitiveness. At the same time, with the development of intelligent manufacturing, the process of power battery digital factory is one of the most concerned propositions of the lithium battery industry.

 

At the just-concluded 2019 High-level Lithium-Electric Vehicle Annual Meeting,Kiyokazu Oiyama, Senior Vice President of Tianpeng Power Supply; Dr. Du Yixian, President of Liyuanheng Research Institute; Long Guobin, Manager of Radium Yu Technology R & D and Manufacturing Center; Dr. Zhang Jing, Manager of Apache Application Department; Liu Hao, Director of Dazu Laser; He Zhenzhen, Director of Opute Technology; Wang Fangming, Founder of Zhongheng Intelligence; and Dr. Shi Xianxing, Senior Product Management Manager of Wanxiang 123Such as guests, on the "power battery digital factory process" launched an exchange.

 

 

The first is the understanding of the process of digital factory.

 

Tianpeng Power Senior Vice President Oiyama KiyokazuIt is said that its speed depends on the quality requirements of lithium batteries. Because the safety of lithium batteries is greatly affected by moisture and metal impurities. Only when the safety problem is solved and the risk caused by battery fire can be fully controlled and prevented, the digital factory process will be faster.

 

Dr. Shi Xianxing, Senior Product Management Manager, Wanxiang 123It is believed 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 batteries are very complex, and digital cost reduction will not be achieved in one step.

 

He said that in order to accelerate the process of digital factory, we must first accelerate the automatic rate of equipment, at least to more than 99%. At present, 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 fully automate before pursuing digitalization, rather than directly digitizing the factory.

 

The second is the exploration of the process in the digital factory.

 

Dr. Yixian To, President of Lee Yuan Heng Research InstituteHe said that it may take about three years for the digital factory to be perfected. There are two key problems with this. The first is the type of data collected, how much is enough? The second is how deep is the level of data collected? To solve the problem, the preset digital model must be sufficient, the digital simulation results must be highly realistic, and some performance parameters like batteries must be collected.

 

In the process exploration of digital factory, Li Yuanheng's understanding is to present all production-related information digitally to ensure no interruption and realize visualization and predictability of management. In terms of implementation, Li Yuanheng divides it into five levels from research and development to application, including execution layer, control layer, data layer, workshop layer and enterprise layer, and uses digital twin technology to build a visualization platform.

 

data collection on the digitization process,Han's Laser Director Liu HaoTo add, this depends mainly on the customer's sensitivity to the cost of digitization. In this regard, the big family laser has been able to upload all the data detected during laser welding and cutting, and can also trace the source for real-time analysis and optimization.

 

In addition, the big family laser also uses digital twin debugging technology, which can directly interact with the hardware through the 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 Radium Science and Technology R & D and Manufacturing CenterIt is supplemented from the battery drying process. He said that the temperature of the fixture can be measured digitally for hard-shell or soft-pack batteries, but the internal temperature of the battery core cannot be detected. Regarding the moisture content, it can be tested with an online water content instrument before and after drying. But the more accurate the data, the higher the cost.

 

Finally, the process of digital factory data detection upload.

 

In terms of data detection upload,He Zhenzhen, Technical Director of OputeIt is said that vision is essentially equivalent to a sensor, which converts the detected product information, data, etc., and then uploads it to the database of the digital factory through MES.

 

Opt is completely open to customers in this respect, even the formula changes, parameter changes, quality inspection data will be released. Through full cooperation with customers, together to build a good digital factory information flow.

 

Dr. Jing Zhang, Manager, Apache Applications DepartmentIt is believed that in the data management of digital factory process, 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 accurate results of laser welding and other work, on the other hand, it can remove the false information and save the true information, and under the data system of the digital factory, it can realize the real-time improvement of its own process in a closed loop.

 

In terms of data alarms such as safety and fire prevention in digital factories,Wang Fangming, founder of Zhongheng IntelligenceHe said that the independently developed infrared temperature measuring equipment can accurately detect the battery temperature in the sub-capacity/formation process stage and upload it 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 the dangerous battery and put it in a safe place. On the other hand, early feedback, for the battery digital factory to provide a basis for decision-making, reduce the cost of sudden risk.

Abstract

With the development of intelligent manufacturing, the process of power battery digital factory is one of the most concerned propositions of the lithium battery industry.

 

On the one hand, the rapid development of new energy vehicles and the accelerated reshuffle of the industry, on the other hand, power battery manufacturing is developing in the direction of high quality, high efficiency, information and visualization.

 

In this industry background, digital intelligence has become an important weapon for power battery related enterprises to enhance their competitiveness. At the same time, with the development of intelligent manufacturing, the process of power battery digital factory is one of the most concerned propositions of the lithium battery industry.

 

At the just-concluded 2019 High-level Lithium-Electric Vehicle Annual Meeting,Kiyokazu Oiyama, Senior Vice President of Tianpeng Power Supply; Dr. Du Yixian, President of Liyuanheng Research Institute; Long Guobin, Manager of Radium Yu Technology R & D and Manufacturing Center; Dr. Zhang Jing, Manager of Apache Application Department; Liu Hao, Director of Dazu Laser; He Zhenzhen, Director of Opute Technology; Wang Fangming, Founder of Zhongheng Intelligence; and Dr. Shi Xianxing, Senior Product Management Manager of Wanxiang 123Such as guests, on the "power battery digital factory process" launched an exchange.

 

 

The first is the understanding of the process of digital factory.

 

Tianpeng Power Senior Vice President Oiyama KiyokazuIt is said that its speed depends on the quality requirements of lithium batteries. Because the safety of lithium batteries is greatly affected by moisture and metal impurities. Only when the safety problem is solved and the risk caused by battery fire can be fully controlled and prevented, the digital factory process will be faster.

 

Dr. Shi Xianxing, Senior Product Management Manager, Wanxiang 123It is believed 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 batteries are very complex, and digital cost reduction will not be achieved in one step.

 

He said that in order to accelerate the process of digital factory, we must first accelerate the automatic rate of equipment, at least to more than 99%. At present, 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 fully automate before pursuing digitalization, rather than directly digitizing the factory.

 

The second is the exploration of the process in the digital factory.

 

Dr. Yixian To, President of Lee Yuan Heng Research InstituteHe said that it may take about three years for the digital factory to be perfected. There are two key problems with this. The first is the type of data collected, how much is enough? The second is how deep is the level of data collected? To solve the problem, the preset digital model must be sufficient, the digital simulation results must be highly realistic, and some performance parameters like batteries must be collected.

 

In the process exploration of digital factory, Li Yuanheng's understanding is to present all production-related information digitally to ensure no interruption and realize visualization and predictability of management. In terms of implementation, Li Yuanheng divides it into five levels from research and development to application, including execution layer, control layer, data layer, workshop layer and enterprise layer, and uses digital twin technology to build a visualization platform.

 

data collection on the digitization process,Han's Laser Director Liu HaoTo add, this depends mainly on the customer's sensitivity to the cost of digitization. In this regard, the big family laser has been able to upload all the data detected during laser welding and cutting, and can also trace the source for real-time analysis and optimization.

 

In addition, the big family laser also uses digital twin debugging technology, which can directly interact with the hardware through the 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 Radium Science and Technology R & D and Manufacturing CenterIt is supplemented from the battery drying process. He said that the temperature of the fixture can be measured digitally for hard-shell or soft-pack batteries, but the internal temperature of the battery core cannot be detected. Regarding the moisture content, it can be tested with an online water content instrument before and after drying. But the more accurate the data, the higher the cost.

 

Finally, the process of digital factory data detection upload.

 

In terms of data detection upload,He Zhenzhen, Technical Director of OputeIt is said that vision is essentially equivalent to a sensor, which converts the detected product information, data, etc., and then uploads it to the database of the digital factory through MES.

 

Opt is completely open to customers in this respect, even the formula changes, parameter changes, quality inspection data will be released. Through full cooperation with customers, together to build a good digital factory information flow.

 

Dr. Jing Zhang, Manager, Apache Applications DepartmentIt is believed that in the data management of digital factory process, 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 accurate results of laser welding and other work, on the other hand, it can remove the false information and save the true information, and under the data system of the digital factory, it can realize the real-time improvement of its own process in a closed loop.

 

In terms of data alarms such as safety and fire prevention in digital factories,Wang Fangming, founder of Zhongheng IntelligenceHe said that the independently developed infrared temperature measuring equipment can accurately detect the battery temperature in the sub-capacity/formation process stage and upload it 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 the dangerous battery and put it in a safe place. On the other hand, early feedback, for the battery digital factory to provide a basis for decision-making, reduce the cost of sudden risk.