Performance degradation prediction of proton exchange membrane fuel cell using a hybrid prognostic approach

The proton exchange membrane fuel cell has been widely used for industrial systems; however, its performance gradually degrades during use. Therefore, the study on the performance degradation prediction of fuel cells is helpful to extend its lifespan. In this paper, a novel hybrid approach using a combination of model-based adaptive Kalman filter and data-driven NARX neural network is proposed to predict the degradation of fuel cells. The overall degradation trend (i.e., irreversible degradation process) is captured by an empirical aging model and adaptive Kalman filter. Meanwhile, the detail degradation information (i.e., reversible degradation process) is depicted by the NARX neural network. Moreover, the correlation analysis of the reversible voltage time series is carried out to obtain the number of delays of the NARX neural network based on the autocorrelation function and the partial autocorrelation function. Then, the total degradation prediction is the sum of the overall degradation prediction and the detail degradation prediction. Finally, the prognostic capability of the proposed method is verified by two aging datasets, and the results show the effectiveness and superiority of the proposed method which can provide accurate degradation forecasting and remaining useful life.     

大方坯连铸轻压下工艺技术开发与应用

连铸轻压下技术为改善铸坯内部质量,减少中心疏松、中心缩孔和中心偏析的重要手段。简述了连铸轻压下冶金技术的基本原理与主要控制参数。介绍了韶关钢铁(SGIS)大方坯连铸轻压下工艺技术开发方法,以及在研究过程中存在的问题和应用的效果。通过大方坯轻压技术的开发, 掌握了轻压下工艺控制方法与要点,以及轻压下工艺参数与铸坯中心疏松、中心偏析的关系。结果表明,大方坯连铸采用轻压下工艺,轴承钢内部质量得到明显的改善,其中轴承钢总压下量达到了12 mm。采用轻压下工艺后,低于1.5级的中心疏松比例提升了18.8%,中心偏析指数由0.877~1.247优化为0.944~1.038。研究结果为韶关钢铁开发高质量、高性能、高附加值的特钢产品提供了重要的技术支撑。     

利用“列表法”分析金属与盐溶液反应后的滤液滤渣

云南省初中学业水平考试中,有关金属与盐溶液反应后的滤液滤渣问题一直是学生的难点。结合金属活动性顺序,利用"列表法"分析,可将复杂问题简单化,将反应后的滤液滤渣成分直观展示出来,有效提高学生做题的准确性,特别对理解能力较弱的同学帮助很大。     

基于EKF和UKF算法非均匀介质热物性参数重建

将无迹卡尔曼滤波技术(unscented Kalman filter, UKF)用于求解一维介质热物性参数反演问题；也对利用扩展卡尔曼滤波技术(extended Kalman filter, EKF)反演一维介质中热导率问题进行了研究。首先给出了正问题模型，然后详细介绍了EKF算法和UKF算法的基本原理。最后为了验证当前算法的可行性，采用UKF算法重建了介质内部随位置变化的热导率，并采用EKF算法重建了介质内部随时间变化的热导率。计算结果表明，UKF算法和EKF算法均能较为准确地反演介质的热导率。为了减小重建结果的时间滞后，建议使用较小的测量误差协方差R。     

隔膜滤板膜片用改性聚丙烯的制备

研究了聚丙烯品种、弹性体和生产工艺对改性聚丙烯微观结构、力学性能的影响,开发了3种具有不同性能特点的隔膜滤板膜片用改性聚丙烯。结果表明:产品具有优异的拉伸强度、断裂拉伸应变和耐温性能;成型的膜片经过高压充水多次开合不发生破裂,满足隔膜式压滤机的使用要求。     

并联有源滤波器的改进重复控制策略研究

针对三相整流负载产生的6k±1次谐波,提出静止坐标系下的改进型6k±1重复控制策略。同时将比例控制与改进型重复控制相结合,设计改进重复控制并联比例的复合控制结构。为减小改进重复控制中延时环节不为整数的影响,采用基于Lagrange插值近似的FIR滤波器逼近分数延时特性。最后对系统进行稳定性分析和详细设计方法进行推导。通过Matlab仿真验证改进重复控制策略能有效跟踪6k±1次谐波且具有良好的补偿效果,动态响应较快。     

一种射频抗电磁干扰的矿用红外温度传感器

设计了一种适用于复杂条件下实施井下温度探测的射频式红外温度传感器。借助于光学系统、光电探测器实时感应井下温度并提取温度信号,同时在DC-DC电源隔离模块中实施EMI滤波以抗电磁干扰,处理后的信号经过A/D转换、运算器放大后显示在LCD上,实施读取数据并记录在传感器的存储片上,实现了矿井复合灾害条件下的温度测试,测试精度控制在±2%。     

非织造过滤介质孔径及截留性能的研究

对应用于液固分离和气固分离的非织造过滤介质的孔径和截留性能测试方法做了研究,指出采用气体流量法进行孔径性能测试,可同时得到非织造过滤介质的最大孔径、平均孔径及孔径分布,全面表征了其孔径性能;并对用于液固和气固分离2个不同领域的非织造过滤介质采用不同的方法做了截留性能测试。同时,对比非织造过滤介质的孔径和截留性能,对二者之间的关联做了探索,为实际工业过程中非织造过滤介质的选用和评价提供了指导。     

High-performance counter electrode based on nitrogen-doped porous carbon nanoribbons for quantum dot-sensitized solar cells

Nitrogen-doped porous carbon nanoribbons (NPCNs) are facilely prepared by carbonization of polypyrrole (PPy) nanotubes followed by a chemical activation process. NPCN counter electrodes are subsequently fabricated by depositing NPCNs onto Ti mesh for quantum dot-sensitized solar cells (QDSCs). Electrochemical tests are carried out to evaluate the electrocatalytic performance of obtained NPCN electrode. The data of electrochemical tests suggest that the NPCN electrode has a superior electrocatalytic ability towards polysulfide (S₂²⁻/S²⁻) electrolyte regeneration reaction and displays a high stability in polysulfide electrolyte. The excellent electrocatalytic performance of NPCN electrode can be ascribed to their large surface area, 2D porous nanoribbon morphology, and nitrogen atom doping, which provides abundant electrocatalytic active sites and facilitates the electrolyte diffusion. Consequently, a power conversion efficiency of 3.27% is obtained by using NPCN electrode as the counter electrode for QDSC. This efficiency is close to the QDSC assembled with commonly used PbS electrode (4.0%).     

Observer‐based fuzzy adaptive quantized control for uncertain nonlinear multiagent systems

This paper focuses on consensus quantized control design problem for uncertain nonlinear multiagent systems with unmeasured states. Every follower can be denoted through a system with unmeasurable states, hysteretic quantized input, and unknown nonlinearities. Fuzzy state observer and Fuzzy logic systems are employed to estimate unmeasured states and approximate unknown nonlinear functions, respectively. The hysteretic quantized input can be split into two bounded nonlinear functions to avoid chattering problem. By combining adaptive backstepping and first‐order filter signals, an observer‐based fuzzy adaptive quantized control scheme is designed for each follower. All signals exist in closed‐loop systems are semiglobally uniformly ultimately bounded, and all followers can accomplish a desired consensus results. Finally, a numerical example is employed to elaborate the effectiveness of proposed control strategy.