School of Mechanical Engineering, Tianjin Key Laboratory of Power Transmission and Safety Technology for NewEnergy Vehicles, Hebei University of Technology, Tianjin, China.
Career Leader intelligent control automation company, Suqian, Jiangsu Province, China.
PLoS One. 2022 May 11;17(5):e0264285. doi: 10.1371/journal.pone.0264285. eCollection 2022.
At present, the global demand for lithium batteries is still in a high growth state, and the traditional lithium battery pole mill control system is still dominated by ARM (Artificial Intelligence Enhanced Computing), DSP (Digital Signal Processing), and other single-chip control methods. There are problems such as poor anti-interference ability and insufficient real-time online analysis of production data. This paper adopts the dual-chip control system architecture based on "ARM+DSP", starting from the mechanical characteristics and operating signal features of the pole mill. The hardware system adopts a three-unit joint control hardware structure, which separates the control unit from the data processing unit and improves the operation of the system. The software system adopts fuzzy PID algorithm to realize deflection control and tension control, and verifies that the Fuzzy PID (Proportion Integration Differentiation) control algorithm can effectively improve the anti-interference ability of the deflection system and tension system. The results show that the data loss rate is low with the SPI communication between DSP and ARM. The tension error of the "ARM+DSP" control system does not exceed 5%, and the deviation of the correction band is within ±4mm. The dedicated dual-chip hardware architecture effectively improves the robustness and operation efficiency of the pole mill, solves the problem of low tension control accuracy, and provides a theoretical basis for the application of the dual-roll mill.
目前,全球对锂电池的需求仍处于高速增长状态,传统的锂电池极片轧机控制系统仍以 ARM(人工智能增强计算)、DSP(数字信号处理)等单片机控制方法为主。存在抗干扰能力差、生产数据实时在线分析不足等问题。本文采用基于“ARM+DSP”的双芯片控制系统架构,从极片轧机的机械特性和运行信号特征出发。硬件系统采用三单元联合控制硬件结构,将控制单元与数据处理单元分离,提高了系统的运行效率。软件系统采用模糊 PID 算法实现挠度控制和张力控制,并验证了模糊 PID(比例积分微分)控制算法可以有效提高挠度系统和张力系统的抗干扰能力。结果表明,DSP 与 ARM 之间采用 SPI 通信,数据丢失率低。“ARM+DSP”控制系统的张力误差不超过 5%,纠偏带的偏差在±4mm 以内。专用的双芯片硬件架构有效提高了极片轧机的鲁棒性和运行效率,解决了张力控制精度低的问题,为双辊轧机的应用提供了理论依据。