锂电池极片辊压机刚度分析与结构优化

在锂电池极片加工过程中，由于其高能量密度要求与涂覆材料力学性能存在矛盾，故需要根据极片所需压缩比严格控制辊压力的大小，而实际中,轧辊特性使两辊之间窄缝距离的直接测定不容易,因此难以通过物理样机试验的方式直接得到生产过程中辊缝与辊压力之间的关系。针对该问题，简化了辊压过程中的物理量,建立了整机和极片变形的数学模型，利用数学模型间接得到整机辊压力与辊缝变化之间的定量关系。采用仿真驱动设计的方式，基于响应面法和多目标优化算法得到整机的设计优化结果。测试试验表明,简化的数学模型可以数字化地描述辊压机的工作情况，便于指导生产中控制极片的制造工艺参数，同时基于响应面的设计优化提高了辊压机的设计生产效率。

Stiffness Analysis and Structure Optimization of Rolling Mill for Lithium-ion Battery Electrode Manufacturing

In the process of rolling electrodes, due to the contradiction between the energy density and the material mechanical properties of coatings on the electrode, the roller pressure should be controlled strictly according to the compression ratio. Actually, the roller surface made the gap between two rollers difficult to measure through experiments. Consequently, it was difficult to  directly quantify the relation between the gap size and roller pressure by using physical prototype. The variations of physical quantities during the electrodes manufacturing process were simplified to build the digital model of rolling mill and electrode deformation. With the help of the digital model, the relation of gap variation and pressure was quantitatively simulated. According to the above study, on the purpose of simulation-driven design, the structural parameters and work condition of digital rolling mill were optimized by the response surface methodology and multi-objective genetic optimization algorithm. The stiffness test has validated the digital model and the simplification hypothesis. These results are important to lay a plan for rolling processes; meanwhile the research and development efficiency is improved by the response surface-based design optimization.