• Battery production process and equipment innovation

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    lithium battery

    Over the past decade, the lithium battery industry has moved from semi-automatic to single-machine automation, and then gradually towards full automation and intelligence. During this process, the battery production process has hardly changed significantly.

    However, as the demand for batteries continues to soar more than 100% per year,best lithium ion battery machine company and battery material management systems continue to be upgraded, the process of battery production activities will inevitably face transformation and upgrading to adapt to changes in the scale of battery technology production operations and battery information systems. Correspondingly, the battery equipment company as an important factor component of the lithium battery industry, but also ushered in a new breakthrough opportunity.

    The development trend of battery production process and equipment

    The future development trend of energy storage batteries will develop from a single small battery to a larger capacity.equipment for lithium battery assembly Lithium battery production equipment companies must ensure the manufacturing accuracy and high manufacturing efficiency of such large battery cells. As battery compatibility improves, the machining precision of parts and the assembly precision of parts must also be improved accordingly.

    To solve the problem of large-scale production of lithium batteries, we must first improve the efficiency of the equipment. The main two aspects of lithium battery equipment to solve the problem of production efficiency.

    One is to improve the production speed of the equipment, using faster and more stable structure and control methods; the other is to reduce the time consumed by the operation of the equipment, that is, the auxiliary time. From this point of view, the renewal iteration of lithium battery production equipment is moving towards the direction of scale, high precision, high reliability, integrated intelligence.

    From the analysis of lithium battery production technology process design optimization point of view, integrated intelligent control equipment than stand-alone equipment has a higher production and operation stability, higher degree of automation, the battery production and processing process adaptability is more comprehensive, more powerful. At the same time, integrated intelligent equipment also plays a key factor role in reducing the manufacturing company's labor and land resources costs, shorten the process connection and reduce the loss of construction materials.

    Deep integration of battery materials technology and battery production technology

    In the whole battery production process, it is a process from nanometer material processing operation to meter-scale equipment production and processing. In the past, lithium battery production was mainly based on Newtonian mechanics of equipment manufacturing efficiency, manufacturing quality and cost control. The main control is the physical position of the material, speed, acceleration, inertia, friction, resistance and other parameters.

    Relatively speaking, these controls are macroscopic and the visibility and observability of the process is relatively easy to control. Based on the fact that the cell is an ion migration process under the action of an internal electric field, the electron transfer process is reflected from the outside. Such process decisions must be made from a microscopic perspective, utilizing quantum mechanics to control the production and use of the battery.

    Consideration is given to the evolution of the cell structure and composition after the cell has been produced and manufactured, the transport behavior of electrons and ions, the influence of interfacial issues and performance scaling effects on the cell, the changes in the cell interface during charging and discharging, and the changes in the process performance and scaling. Coupling effects between internal molecules and ions, temperature effects and shape-volume changes need to be taken into account to control battery safety, self-discharge, cycle life, energy density and power density.

    This requires more consideration of the thermodynamics, kinetics and stability of the battery production process from a microscopic perspective. However, no complete theoretical and analytical model has been developed to manage and control these situationally complex processes in terms of battery production capacity. This is an issue where we have a problem with multi-physical coupling, multi-variables, heterogeneous data, multi-scale shape control, inherent risks to control the laws of activities and massive data resource management.

    The approach that can be used is a machine learning and optimization modeling methodology based on qualitative trend analysis and big data modeling that uses quantum mechanics theory to identify the internal scientific laws of the battery as well as process optimization, decision making and control.

    Analysis and evaluation methods are established to achieve reconfigurable, scaled, and customized battery production. Ultimately solves problems of ion migration, heat and heat transfer, internal pressure control, process deformation, SEI film and lithium dendrite control.

    Integration of battery production and changes in manufacturing principles

    The electrochemical processes of lithium-ion batteries are quantified in terms of generalized state variables in a multiphysics controlled process of macroscopically and microscopically coupled electrochemical reactions.

    Using the information technology of numerical simulation of the dynamics of smooth particle systems with multidirectional flow, numerical computational models that can take into account the mesoscopic microeconomic structure of the electrodes have been developed to simulate the discharging process that requires an ion concentration field inside the battery company. The distribution of microscopic details, such as solid- and liquid-phase potential fields and switching current densities, as well as the enhancement of the macroscopic performance of the battery, such as the output voltage.

    On this basis, the basic physicochemical mechanism of battery charging and discharging, and the relationship between the macroscopic performance of the battery and the particle size of the solid active material are analyzed and revealed.

    Under the guidance of mesoscopic particle dynamics theory, dry electrode manufacturing integrates the mixing, stirring, coating, drying and winding processes in electrode manufacturing. The integration of laser die-cutting and winding, laser die-cutting and stacking, and subsequent assembly processes is also an important trend.

    In the future, there may only be three types of battery equipment: pole-shoe equipment, assembly equipment, and test equipment. Of course, this is the future and the ideal for manufacturers. It will require a concerted effort and progress in materials, cell production and equipment.

    Simplification of Battery Manufacturing Processes and Battery Structures

    The equipment in each of our process design sections of the lithium battery manufacturing process can significantly correlate to the impact on cell performance, and the length of the battery production management process affects the consistency and controllability of cell preparation. The simplification of the plate manufacturing and cell formation process is a successful example.

    Equipment such as roll cutting one machine, die cutting and winding one machine, punching and cutting and laminating one machine, on the one hand, simplifies the process and increases the closed-loop control of the equipment. On the other hand, it reduces the cost of losses caused by the complexity of raw material transportation routes and saves labor.

    The optimization of the structure around the battery performance and battery production will bring radical changes to the future development of the battery industry. For example, battery box shapes, sizes and electrode connections vary depending on performance, manufacturing and connection requirements, and internal collector and electrode connections vary depending on battery recycling requirements.


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