续断生品炮制工艺研究

目的:优选出川续断的最佳工艺。方法:以续断中的川续断皂苷VI为考察指标,对续断工艺中水洗量、水洗时间、浸润水量、浸润时间、干燥温度、切制长度等因素进行考察,采用正交试验优选出续断的最佳工艺。结果:优选出续断最佳工艺为:取8倍量水洗10 min,5倍水浸润2 h,切制成4 mm,在60℃干燥温度下烘干。结论:优选出的续断最佳工艺稳定、可行,为保证续断饮片的质量,确定了水洗量、水洗时间、浸润水量等工艺参数。     

应用麻雀搜索和概率神经网络的储能电池故障诊断

储能是构建新型电力系统的核心技术,其中,锂离子电池电化学储能是当前的主要形式,对实现“双碳”目标意义重大。故障诊断对于保障电池储能系统安全运营意义重大,尤其是微小故障的准确诊断能有效预防严重故障的发生,然而,传统故障诊断方法时效性差、精度较低,难以捕捉微小故障特征。因此,提出了一种应用麻雀搜索算法(sparrow search algorithm, SSA)改进的概率神经网络(probabilistic neural network, PNN)的储能电池微小故障诊断方法。首先,通过对锂离子电池故障类别分析故障特性,提取微小故障发生后的状态特征信息;然后,将磷酸铁锂储能电池故障信号分解成一系列特征向量并输入SSA-PNN模型;最后,开展了实验验证研究。结果表明,与传统的基于误差反向传播算法的故障诊断方法相比,基于SSA-PNN的故障诊断方法精度达到99.7%,具有更高的诊断精度和实时性。     

考虑邻接点贡献的通信网关键节点评估方法

通信网络中的某些节点对整个网络具有重要的作用.关键节点的失效可能导致整个通信网络的性能急速下降甚至瘫痪.为确定通信网络中的关键节点,提出一种考虑了邻接点贡献的通信网关键节点评估方法,该方法同时考虑了节点的多方面属性以及其邻域内节点的影响.利用该方法对ARPANET(Advanced Research Projects Agency Network)进行了节点重要性的评估,并通过网络可靠性的相关理论和OPNET仿真建模工具对其进行了验证,证明了该方法的准确性.同时还发现,对通信网络的关键节点的冗余部署可以保障其网络性能,增加可靠性.     

Study on ultracapacitor-battery hybrid power system for PHEV Applications

For the battery only power system is hard to meet the energy and power requirements reasonably, a hybrid power system with ultracapacitor and battery is studied. A Topology structure is analyzed that the ultracapacitor system is connected with battery pack parallel after a bidirectional DC/DC converter. The ultracapacitor, battery and the hybrid power system are modeled. For the plug-in hybrid electric vehicle (PHEV) application, the control target and control strategy of the hybrid power system are put forward. From the simulation results based on the Chinese urban driving cycle, the hybrid power system could meet the peak power requirements reasonably while the battery pack's current is controlled in a reasonable limit which will be helpful to optimize the battery pack's working conditions to get long cycling life and high efficiency.