Positioning Device Analysis And Optimization Of Lithium-ion Battery Packing Machine Based On ANSYS Workbench

With the consecutive development of lithium-ion battery technology and the increasing market demand, ordinary lithium-ion battery equipment can barely meet the ascending production demand of power battery. Improving automation level of equipment, production quality and production efficiency lay significance to promote the production of China’s lithium-ion power battery and the development of electric vehicles. Nowadays, most domestic lithium-ion battery packing machines are manual and semi-automatic equipment, not only produce less accurate battery group, but also with low efficiency. It’s tough to reach consistency as well as high quality to hardly produce lithium-ion battery in batch. To solve this issue, by applying theoretical analysis and finite element numerical simulation, this article meant to integrate packing technics to optimize and design key element of lithium-ion battery packing machine. The main content and conclusions of this paper are as follows:1) Taking the lithium-ion battery packing machine as the research object, the general design scheme was formulated, and the function of each device and the related working process were theoretically determined and validated, and the foundation for the design of the key device in lithium-ion battery packing machine was established.2) According to the general design scheme and working process. The lithium-ion battery packing machine consists of positioning device, pressure device, lifting device, tipping device and supporting device to ensure that they can work orderly and coordinately. Meanwhile, 3D model of each device has been set up and design completed.3) The positioning device is analyzed by ANSYS Workbench′ s structural dynamics and its structure got optimized to improve the rigidity and the positioning accuracy. As for the requirement of high positioning accuracy, the positioning device is analyzed by ANSYS Workbench′s structural dynamics to get the top 6 frequencies and find the 2 frequencies are in the range of the excitation frequency between equipment, and it would cause resonance effect. Then, its frequency is changed by optimizing its structure. Lastly, ANSYS Workbench is applied again to verify whether the positioning structure can avoid resonance effectively.