Design of a thermal management system for a battery pack in an electric vehicle using Dymola

As the world moves toward more green and efficient means of modes of transport, electric vehicles are the most suitable and ideal choice to fulfill this requirement. Rapid developments in the field of battery technology are the main reason for their progress, but thermal management in such systems has been an area of concern for a long time. The work undertaken is to design and develop a battery management system (BMS) with a specific focus on the thermal behavior of the battery pack with varying vehicle loads as well as environmental conditions. To design an efficient BMS, one needs to model the battery behavior covering the thermal as well as electrical aspects of the battery. Apart from the battery model, a mathematical model of the electrical vehicle to mimic the various road load conditions for battery also needs to be modeled. Depending on the need for cooling based on battery behavior, the cooling circuit is modeled for the battery pack used. The entire study has been carried out using Dymola, a mathematical modeling software.     

锂离子电池凝胶电解质研究进展

锂离子电池（LIB）是日常生活中最常见的便携式储能设备。然而,传统的锂离子电池多使用液态电解质（LE）,存在易泄漏、易燃易爆且有毒等危险,其安全性日益受到关注。与LE相比,凝胶聚合物电解质（GPE）安全性更好且其电化学性能最接近LE,成为近年来电解质方面的研究重点。本文综述了近年来国内外GPE在LIB方面的研究进展,总结了传统聚合物基质采用交联、共聚或共混改性以提高电解质电化学性能及改善安全性方面的研究,并介绍了可再生、可降解的高分子材料在LIB方面的应用,旨在为研究功能性更强的GPE及高性能电极材料的研究提供参考。     

离子色谱-脉冲安培法测定饮料中的聚葡萄糖的含量

通过优化标准方法AOAC 2000.11和GB 5009.245-2016的样品前处理过程，简单、高效准确地分析饮料中添加的聚葡萄糖含量。方法 样品经离心超滤净化，去除基质干扰，采用色谱柱分离，离子色谱-脉冲安培检测器测定，外标法定量。结果 聚葡萄糖在0.20 ~ 2.00 g/L的浓度范围内呈良好线性关系 (R2 > 0.999)。方法检出限和定量限分别为0.01 和0.03 g/L，三个添加水平的平均加标回收率为90.0%~98.8%，相对标准偏差为0.63%~2.36%。同时考察了市场上10种不同品类的饮料，加标回收率为93.0%-105%。结论 本方法样品前处理简单、快速、广泛适用于饮料中添加的聚葡萄糖含量测定。     

Mixed convection flow of a Maxwell nanofluid with Hall and ion‐slip impacts employing the spectral relaxation method

This article investigates the Hall and ion‐slip impacts on the mixed convection flow of a Maxwell nanofluid over an expanding surface in a permeable medium. The impacts of Brownian movement and thermophoresis parameters, Soret, Dufour, viscous dissipation, chemical reaction, and suction parameters, are, moreover, considered. Using the similitude changes, the partial differential equations with regard to the momentum, energy, and concentration equations are transformed to an arrangement of nonlinear ordinary differential equations, which are handled numerically utilizing a spectral relaxation method (SRM). The impacts of noteworthy physical parameters on the velocities, thermal, and concentration distributions are investigated graphically. Moreover, the numerical values of skin‐friction coefficients, local Nusselt number, and Sherwood number for different values of the mixed convection parameter $\left(\gamma \right),$ Deborah number $\left(\lambda \right),$ Hall parameter $({\beta }_{\mathrm{H}}),$ ion‐slip parameter $({\beta }_{\mathrm{i}}),$ Dufour number (Du), and Soret number $\left(\mathit{Sr}\right)$ are computed and tabulated. It is discovered that ascent in Deborah number reduces both the stream and transverse velocity profiles, while the inverse pattern is seen with augmentation in the mixed convection parameter. In addition, inverse patterns of the stream and transverse velocity profiles are seen with expansion in magnetic, Hall, and ion‐slip parameters. Besides this, the temperature and concentration disseminations decline with augmentation in Dufour number and chemical reaction parameters, respectively. It is likewise seen that both the skin‐friction coefficients lessen with expansion in Deborah number, and they ascend with upgrade in blended convection and ion‐slip parameters, while the opposite condition is noticed with augmentation in Hall parameter. Furthermore, the reverse trends of local Nusselt and Sherwood numbers are discovered with expansion in the Dufour and Soret numbers.     

不同弧电流对AlCrBN涂层结构和性能的影响

目的 提高涂层刀具在高速工况下的切削寿命。方法 利用电弧离子镀技术在高速钢试样块和刀具表面制备不同弧电流（60、80、100 A）的AlCrBN涂层。采用扫描电镜（SEM）、X射线衍射仪（XRD）、X射线光电子能谱（XPS）、轮廓仪、洛氏压痕仪、划痕仪、显微硬度计、球盘摩擦磨损试验仪和切削试验对涂层的微观结构和性能进行研究分析。结果 AlCrBN涂层的物相成分为固溶的fcc-(Cr,Al)N相以及少量的CrB2和fcc-BN相。随着AlCrB靶弧电流由60 A增至100 A，表面粗糙度Sq值由197 nm增至208 nm，Sa值由107 nm增至113 nm；显微硬度由3574HK0.05先增至3890HK0.05，再降至3209HK0.05；结合强度Lc2由57 N增至63 N，再降至55 N，均呈现先增后减的趋势。不同弧电流制备的AlCrBN涂层的磨损率依次为0.69×10-15、0.38×10-15、0.84× 10-15 m3/(N?m)，涂层的磨损机理均为磨粒磨损、粘着磨损和氧化磨损。切削结果显示，AlCrBN涂层刀具在切削速度VC为60 m/min和191 m/min条件下的切削寿命均高于AlCrN涂层刀具，且80 A条件下制备的AlCrBN涂层刀具切削寿命均最长，分别为9 m和6 m。切削速度60 m/min条件下的磨损机理：初期为磨粒磨损，中期为磨粒磨损和粘着磨损，后期为粘着磨损。切削速度191 m/min条件下的磨损机理：初期和中期为磨粒磨损和粘着磨损，后期为粘着磨损。结论 AlCrBN涂层刀具与AlCrN涂层刀具相比，切削性能更加优越，并且80 A条件下制备的AlCrBN涂层的综合性能最优。     

脉冲偏压对TiAlCN薄膜结构与力学性能的影响

利用多弧离子镀-磁控溅射复合技术通过改变脉冲偏压在Si片与SS304基体表面制备了TiAlCN薄膜,研究了不同脉冲偏压对薄膜结构和力学性能的影响。薄膜成分、表面形貌、相结构及力学性能分别利用能量弥散X射线谱(EDS)、扫描电镜(SEM)、X射线衍射(XRD)和纳米压痕仪等设备进行表征。结果表明,随着脉冲负偏压的增加,薄膜中Ti元素的含量先减小后增大,而Al元素有相反的变化趋势。适当增大脉冲偏压,薄膜表面颗粒、凹坑等缺陷得到明显改善。物相分析表明TiAlCN薄膜主要由(Ti,Al)(C,N)相,Ti4N3-x相和Ti3Al相组成。薄膜平均硬度与弹性模量随脉冲负偏压的增加先增大后减小,在负偏压-200 V时达到最大值分别为36.8 GPa和410 GPa。     

Comparison of MPC based advanced hybrid controllers for STATCOM in medium scale PEM fuel cell systems

In this article is about off grid medium scale Proton Exchange Membrane (PEM) Fuel Cell (FC) Renewable Energy System (FCRES). It is aimed to investigate the elimination of reactive power on the loads fed from the FCRES by using PI-Model Predictive Control (PI-MPC), Fractional PI (PI^λ)-Model Predictive Control (PI^λ−MPC) and Two-Degree of Freedom PI (2DOFPI)-Model Predictive Controller (2DOFPI-MPC). The effectiveness of these controllers were examined and compared both when controlling reactive power and using different control techniques. The reactive power was attempted to be eliminated using Static Synchronous Compensator (STATCOM). An advanced controller structure has been introduced by controlling capacitor voltages by switching 24 IGBTs in the 5-level inverter within its structure. In this way, the efficiency of the system was increased. The system was simulated in MATLAB/Simulink environment. System consisted of FC, STATCOM, loads, filter, coupling inductance, measurement units and advanced hybrid controllers. In the study, system behavior was also examined in the case of compensation in the system consisting of FCs working off grid.     

Effect of anion exchange ionomer content on electrode performance in AEM water electrolysis

Anion exchange membrane water electrolysis (AEMWE) has acquired substantial consideration as a cost-effective hydrogen production technology. The anion ionomer content in the catalyst layers during hydrogen and oxygen evolution reaction (HER and OER) is of ultimate significance. Herein, an in-situ half-cell analysis with reference electrodes was carried out for simultaneous potential measurements and identification of the influence of the anion exchange ionomer (AEI) content on anode and cathode performance. The measured half-cell potentials proved the influence of AEI content on the catalytic activity of HER and OER, which was supported by the rotating disk electrode (RDE) measurements. Cathode overpotential of Ni/C was not negligible and more affected by the AEI content than anode with the optimized AEI content of 10 wt% while NiO anode OER overpotential was independent of the AEI content. For the same AEI content, PGM catalysts showed higher electroactivity than Ni-based catalysts for HER and OER and the cathode catalyst's intrinsic activity is of high importance in the AEM electrolysis operation. Post-mortem analysis by SEM mapping of both AEI and catalyst distributions on the electrode surface showed the effect of AEI loading on the catalyst morphology, which could be related to the electrode performance.     

Influence of heat treatment on corrosion behaviors of 316L stainless steel in simulated cathodic environment of proton exchange membrane fuel cell (PEMFC)

The influences of two types of heat-treatments on the corrosion behavior of 316L SS in the simulated cathodic environment of PEMFC, are investigated using potentiodynamic curve, electrochemical impedance spectroscopy (EIS), Mott-Schottky plot and auger electron spectroscopy (AES), respectively. The results show that 316L SS is in the passive state within the potential region from −0.1V_SCE to 0.8V_SCE in the simulated cathodic environment of PEMFC, and a passive film can be formed on 316L SS. The passivity of 316L SS in the simulated cathodic environment of PEMFC firstly increases and then degrades with the increased solid solution temperature or time, and the best passivity corresponds to the solid solution temperature at 1050 °C for 40 min among other solid solution treatments. While 316L SS heat-treated with the solid solution treatment at 1050 °C for 40 min plus aging treatment at 900 °C for 4 h, also has the best passivity in the same solution among other solid solution plus aging treatments. The best corrosion protection, lowest donor density and the highest thickness of the passive film corresponding to the solid solution temperature at 1050 °C for 40 min among other solid solution or solid solution plus aging heat treatments, and this treatment is mostly suitable for improving the anti-corrosion property of 316L SS in the simulated cathodic environment of proton exchange membrane fuel cell (PEMFC).     

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.