不同时间尺度下锂电池SoC估算研究

针对当前电池荷电状态(SoC)估算算法在处理器运算过程中计算量大,耗费处理器资源多的问题,提出在SoC估算中同时增大辨识时间尺度和估算时间尺度。采用带遗忘因子递推最小二乘算法辨识电池模型参数,并探究不同大小的时间尺度对SoC估算精度的影响。仿真结果表明,随着辨识时间尺度和估算时间尺度增大,SoC估算精度下降且计算量快速下降,计算消耗时间呈指数减少;当时间尺度过大时,SoC估算精度难以保证,计算消耗时间减少不明显,收敛时间长;在综合考虑估算精度和计算耗费时间情况下,可以找到一个最优的时间尺度用于保证SoC估算精度同时大大降低计算量。该方法为后续实现电动汽车SoC在线估算提供理论依据。     

Measuring the Electrode Kinetics of Vitamin B2 at a Constant Time Window of a Square Wave Voltammetric Experiment

The electrode kinetics of vitamin B2 was measured at a constant scan rate of a square‐wave (SW) voltammetric experiment by recently introduced method based on alteration of the height (amplitude) of the SW potential pulses. The electrode reaction mechanism was analyzed in the light of the simplified model considering two‐electron one step surface electrode mechanism, as well as to more appropriate EE surface reaction pathway consisting of two successive one‐electron quasireversible reactions. Theoretical analysis indicated that the evolution of the voltammetric response under variation of the SW amplitude enables estimation of the rate determining step of the EE mechanism.     

基于光谱连接空间的彩色相机光谱重构研究

针对彩色相机三通道响应值重构光谱反射率精度低的问题,提出了基于光谱连接空间的彩色相机光谱反射率重构方法。首先通过光谱反射率已知的训练样本集和多项式拟合方法建立相机响应值到光谱连接空间的转换矩阵,然后利用该矩阵将待重构样本的相机响应值映射到光谱连接空间,最后选用合适的光谱重构算法在光谱连接空间内实现光谱反射率重构,并利用色度误差和光谱误差两个指标对重构结果进行评价。在上述过程中,鉴于转换矩阵的重要性,采用了基于反距离加权的最小二乘法计算转换矩阵以提高相机响应值到光谱连接空间的转换精度。实验结果表明:本文方法切实可行且精度可靠,与基于彩色相机三通道响应值的光谱重构方法相比,色度重构精度和光谱重构精度均显著提高,平均色差和谱差分别为1.145 2和0.010 3,可在较大程度上满足数字典藏、高保真颜色复制等的需要。     

Mean square exponential synchronization for impulsive coupled neural networks with time‐varying delays and stochastic disturbances

In this article, the mean square exponential synchronization of a class of impulsive coupled neural networks with time‐varying delays and stochastic disturbances is investigated. The information transmission among the systems can be directed and lagged, that is, the coupling matrices are not needed to be symmetrical and there exist interconnection delays. The dynamical behaviors of the networks can be both continuous and discrete. Specially, the time‐varying delays are taken into consideration to describe the impulsive effects of the system. The control objective is that the trajectories of the salve system by designing suitable control schemes track the trajectories of the master system with impulsive effects. Consequently, sufficient criteria for guaranteeing the mean square exponential convergence of the two systems are obtained in view of Lyapunov stability theory, comparison principle, and mathematical induction. Finally, a numerical simulation is presented to show the verification of the main results in this article. © 2015 Wiley Periodicals, Inc. Complexity 21: 190–202, 2016     

Gold-dendrimer Nanocomposite Based Electrochemical Sensor for Dopamine

An electrochemical sensor for dopamine was developed by electrodepositing poly(propylene imine) (PPI) dendrimer and gold nanoparticles (AuNPs) onto a glassy carbon electrode (GCE). Electrochemical characterisation of the sensor was carried out by cyclic voltammetry and electrochemical impedance spectroscopy in ferri/ferrocyanide electrolyte. The nanocomposite electrode (GCE-PPI-AuNPs) showed improved electroactive surface area and electrochemical response over bare GCE. The sensor recorded a detection limit of 0.16 μM over a concentration range of 0.1 μM to 125 μM. The sensor was applied for dopamine detection in human serum samples and in the presence of interfering substances such as ascorbic acid and epinephrine.     

An ion imprinted electrochemical sensor based on flower-like gold nanoparticles for the detection of trace arsenic(III) ions in water and food samples

A selective and sensitive electrode based on Au−S bonds between As(III) ion-imprinted polymer (IIP) and the flower-like gold nanoparticles (FL-AuNPs) had been rationally developed for detecting As(III) by using the square wave voltammetry (SWV) method. Under optimized measurement conditions, the prepared electrochemical sensor exhibited obvious detection performance of As(III) in the range of 0.009 μg/L–0.50 μg/L with a relatively low detection limit of 0.015 μg/L. Furthermore, the imprinted electrochemical sensor displayed good reusability, excellent specificity, and demonstrated high potential for environmental control with a recovery rate between 80.7 % and 113.3 %.     

Electrochemical modification of a carbon paste electrode with poly (1,5-diaminonaphthalene) and copper-cobalt nanostructures for the determination of thioctic acid in real samples

This study used square-wave voltammetry and cyclic voltammetry to investigate the electrochemical oxidation of Thioctic Acid (TA) on a Carbon Paste Electrode (CPE) modified with copper-cobalt nanostructures and poly (1,5-Diaminonaphthalene). The voltammetric sensor was sensitive to the oxidation of TA. In addition, we optimized the effects of multiple cycles of deposition of Cu-Co nanostructures, and electro-polymerization of monomer 1,5-DAN, scan rate, and pH. The sensor showed good identification capabilities for TA. The linear responses obtained ranged from 0.6 μM to 150 μM with a detection limit of 0.48 μM for the modified CPE. The adsorption process controlled the oxidation of TA. We used the proposed sensor and method to determine TA in real samples.     

Frame self-orthogonal Mendelsohn triple systems of type

A Mendelsohn triple system (MTS) corresponds to an idempotent semisymmetric Latin square (quasigroup) of the same order. A holey MTS is called frame self-orthogonal, briefly FSOMTS, if its associated holey semisymmetric Latin square is frame self-orthogonal. In this paper, we use FSOMTS(hⁿ) to denote an FSOMTS with n spanning holes of size h. The existence of FSOMTS(hⁿ) for h3 has been known with a few exceptions. We extend the existing results and determine the necessary and sufficient conditions for the existence of FSOMTS(hⁿ) for any h and n with some possible exceptions.     

一个包含平方补数的方程

对任意正整数n,我们定义a(n)为n的平方补数,即a(n)表示能够使na(n)为完全平方数的最小正整数.本文的主要目的是利用初等方法研究方程a(n1)+a(n2)+…+a(nk)=m·a(n1+n2+…+nk)的可解性,并证明对某些特殊的正整数m及任意正整数k>1,该方程有无穷多组正整数解(n1,n2,…,nk).