基于数字化生产车间的动力锂电池电芯智能制造新模式OA
针对动力锂电池电芯制造中存在的工艺一致性差、设备协同效率低等难题,该研究构建基于"物理层-数据层-应用层"的数字化车间智能制造体系.通过部署高精度传感网络与边缘计算节点,实现涂布面密度波动范围收窄至±0.9%;开发智能算法模型使卷绕对齐合格率提升至 97.8%,设备综合效率(OEE)达 84.1%.应用案例表明,该模式使能耗降低 19.7%,换型时间缩短65.2%,支持多型号电芯柔性化生产.该研究为锂电行业智能化转型提供可复制的技术路径.
Aiming at the problems such as poor process consistency and low equipment coordination efficiency existing in the manufacturing of power lithium battery cells,this study has constructed a digital workshop intelligent manufacturing system based on"physical layer-data layer-application layer".By deploying high-precision sensor networks and edge computing nodes,the fluctuation range of the coating surface density is narrowed to±0.9%.The development of intelligent algorithm models has increased the winding alignment qualification rate to 97.8% and the overall equipment efficiency(OEE)to 84.1%.Application cases show that this mode reduces the energy consumption per Wh by 19.7%,shortens the model change time by 65.2%,and supports the flexible production of multiple types of battery cells.The research provides a replicable technical path for the intelligent transformation of the lithium battery industry.
李智奇
宜春职业技术学院,江西 宜春 336000
信息技术与安全科学
数字化生产车间动力锂电池电芯智能制造工艺优化设备协同
digital production workshoppower lithium battery cellintelligent manufacturingprocess optimizationequipment collaboration
《科技创新与应用》 2026 (4)
58-61,4
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